A Review of Feature Reduction Techniques in Neuroimaging

Machine learning techniques are increasingly being used in making relevant predictions and inferences on individual subjects neuroimaging scan data. Previous studies have mostly focused on categorical discrimination of patients and matched healthy controls and more recently, on prediction of individ...

Full description

Saved in:

Bibliographic Details
Published in	Neuroinformatics (Totowa, N.J.) Vol. 12; no. 2; pp. 229 - 244
Main Authors	Mwangi, Benson, Tian, Tian Siva, Soares, Jair C.
Format	Journal Article
Language	English
Published	Boston Springer US 01.04.2014 Springer Springer Nature B.V
Subjects	Applied sciences Artificial Intelligence Bioinformatics Biological and medical sciences Biomedical and Life Sciences Biomedicine Brain - physiology Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer science; control theory; systems Data processing. List processing. Character string processing Exact sciences and technology Humans Investigative techniques, diagnostic techniques (general aspects) Learning and adaptive systems Medical sciences Memory organisation. Data processing Nervous system Neuroimaging - methods Neuroimaging - statistics & numerical data Neurology Neurosciences Pattern recognition. Digital image processing. Computational geometry Radiodiagnosis. Nmr imagery. Nmr spectrometry Review Software Statistics as Topic Dimensionality reduction Predictive Modeling Neuroimaging Feature selection Machine learning Multivariate Feature reduction Central nervous system Modeling Encephalon Multidimensional analysis Voxel Selection criterion Age Medical application Computer vision Data analysis Redundancy Inference Data reduction Dimension reduction Discrimination Medical imagery Tridimensional image Artificial intelligence
Online Access	Get full text
ISSN	1539-2791 1559-0089 1559-0089
DOI	10.1007/s12021-013-9204-3

Cover

Loading…

Abstract	Machine learning techniques are increasingly being used in making relevant predictions and inferences on individual subjects neuroimaging scan data. Previous studies have mostly focused on categorical discrimination of patients and matched healthy controls and more recently, on prediction of individual continuous variables such as clinical scores or age. However, these studies are greatly hampered by the large number of predictor variables (voxels) and low observations (subjects) also known as the curse-of-dimensionality or small-n-large-p problem. As a result, feature reduction techniques such as feature subset selection and dimensionality reduction are used to remove redundant predictor variables and experimental noise, a process which mitigates the curse-of-dimensionality and small-n-large-p effects. Feature reduction is an essential step before training a machine learning model to avoid overfitting and therefore improving model prediction accuracy and generalization ability. In this review, we discuss feature reduction techniques used with machine learning in neuroimaging studies.
AbstractList	Machine learning techniques are increasingly being used in making relevant predictions and inferences on individual subjects neuroimaging scan data. Previous studies have mostly focused on categorical discrimination of patients and matched healthy controls and more recently, on prediction of individual continuous variables such as clinical scores or age. However, these studies are greatly hampered by the large number of predictor variables (voxels) and low observations (subjects) also known as the curse-of-dimensionality or small-n-large-p problem. As a result, feature reduction techniques such as feature subset selection and dimensionality reduction are used to remove redundant predictor variables and experimental noise, a process which mitigates the curse-of-dimensionality and small-n-large-p effects. Feature reduction is an essential step before training a machine learning model to avoid overfitting and therefore improving model prediction accuracy and generalization ability. In this review, we discuss feature reduction techniques used with machine learning in neuroimaging studies. Machine learning techniques are increasingly being used in making relevant predictions and inferences on individual subjects neuroimaging scan data. Previous studies have mostly focused on categorical discrimination of patients and matched healthy controls and more recently, on prediction of individual continuous variables such as clinical scores or age. However, these studies are greatly hampered by the large number of predictor variables (voxels) and low observations (subjects) also known as the curse-of-dimensionality or small-n-large-p problem. As a result, feature reduction techniques such as feature subset selection and dimensionality reduction are used to remove redundant predictor variables and experimental noise, a process which mitigates the curse-of-dimensionality and small-n-large-p effects. Feature reduction is an essential step before training a machine learning model to avoid overfitting and therefore improving model prediction accuracy and generalization ability. In this review, we discuss feature reduction techniques used with machine learning in neuroimaging studies. Machine learning techniques are increasingly being used in making relevant predictions and inferences on individual subjects neuroimaging scan data. Previous studies have mostly focused on categorical discrimination of patients and matched healthy controls and more recently, on prediction of individual continuous variables such as clinical scores or age. However, these studies are greatly hampered by the large number of predictor variables (voxels) and low observations (subjects) also known as the curse-of-dimensionality or small-n-large-p problem. As a result, feature reduction techniques such as feature subset selection and dimensionality reduction are used to remove redundant predictor variables and experimental noise, a process which mitigates the curse-of-dimensionality and small-n-large-p effects. Feature reduction is an essential step before training a machine learning model to avoid overfitting and therefore improving model prediction accuracy and generalization ability. In this review, we discuss feature reduction techniques used with machine learning in neuroimaging studies.[PUBLICATION ABSTRACT] Machine learning techniques are increasingly being used in making relevant predictions and inferences on individual subjects neuroimaging scan data. Previous studies have mostly focused on categorical discrimination of patients and matched healthy controls and more recently, on prediction of individual continuous variables such as clinical scores or age. However, these studies are greatly hampered by the large number of predictor variables (voxels) and low observations (subjects) also known as the curse-of-dimensionality or small-n-large-p problem. As a result, feature reduction techniques such as feature subset selection and dimensionality reduction are used to remove redundant predictor variables and experimental noise, a process which mitigates the curse-of-dimensionality and small-n-large-p effects. Feature reduction is an essential step before training a machine learning model to avoid overfitting and therefore improving model prediction accuracy and generalization ability. In this review, we discuss feature reduction techniques used with machine learning in neuroimaging studies.Machine learning techniques are increasingly being used in making relevant predictions and inferences on individual subjects neuroimaging scan data. Previous studies have mostly focused on categorical discrimination of patients and matched healthy controls and more recently, on prediction of individual continuous variables such as clinical scores or age. However, these studies are greatly hampered by the large number of predictor variables (voxels) and low observations (subjects) also known as the curse-of-dimensionality or small-n-large-p problem. As a result, feature reduction techniques such as feature subset selection and dimensionality reduction are used to remove redundant predictor variables and experimental noise, a process which mitigates the curse-of-dimensionality and small-n-large-p effects. Feature reduction is an essential step before training a machine learning model to avoid overfitting and therefore improving model prediction accuracy and generalization ability. In this review, we discuss feature reduction techniques used with machine learning in neuroimaging studies.
Author	Tian, Tian Siva Mwangi, Benson Soares, Jair C.
AuthorAffiliation	1 UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, 77054 USA 2 Department of psychology, University of Houston, Houston, TX, 77024 USA
AuthorAffiliation_xml	– name: 1 UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, 77054 USA – name: 2 Department of psychology, University of Houston, Houston, TX, 77024 USA
Author_xml	– sequence: 1 givenname: Benson surname: Mwangi fullname: Mwangi, Benson email: benson.irungu@uth.tmc.edu organization: UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School – sequence: 2 givenname: Tian Siva surname: Tian fullname: Tian, Tian Siva organization: Department of Psychology, University of Houston – sequence: 3 givenname: Jair C. surname: Soares fullname: Soares, Jair C. organization: UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School
BackLink	http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28569706$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/24013948$$D View this record in MEDLINE/PubMed
BookMark	eNqNkl9r1jAUxoNM3B_3AbyRggjeVM9Jkza5EcbYdDAUZLsOaZq8y-ibzKTd8Nsv5X2d20CxNynJ73nynJOzT3ZCDJaQNwgfEaD7lJECxRqwqSUFVjcvyB5yLmsAIXeW_0bWtJO4S_ZzvgagbQfwiuxSVjSSiT0ijqof9tbbuyq66tTqaU627AyzmXwM1YU1V8H_nG2ufKi-2TlFv9YrH1avyUunx2wPt-sBuTw9uTj-Wp9__3J2fHReGy7lVPOBivJJY1zjSkjTNx0HwyTHvkUj0PUWWyGldEw60ZuBSeigH5hxfde3zQH5vPG9mfu1HYwNU9KjukklR_qlovbq6UnwV2oVbxUDBpSJYvBha5DiUsik1j4bO4462DhnhZwyhg2K5n9QQERGoaDvnqHXcU6hdKJQKJlsJOeFevs4_EPq3_0vwPstoLPRo0s6GJ__cIK3soOlC7jhTIo5J-seEAS1zILazIIqvmqZBbVU0z3TGD_p5VlLn_z4TyXdKHO5JaxselTcX0X3SVTFTQ
CitedBy_id	crossref_primary_10_1007_s11042_017_4404_8 crossref_primary_10_1007_s43684_022_00041_3 crossref_primary_10_1016_j_compenvurbsys_2024_102087 crossref_primary_10_1109_ACCESS_2021_3052186 crossref_primary_10_1016_j_bpsc_2020_05_008 crossref_primary_10_1111_adb_12418 crossref_primary_10_32604_cmc_2021_016037 crossref_primary_10_1016_j_nicl_2025_103761 crossref_primary_10_1007_s11912_019_0815_1 crossref_primary_10_1038_s44220_024_00226_0 crossref_primary_10_3389_fnsys_2020_00009 crossref_primary_10_1016_j_jpsychires_2018_05_023 crossref_primary_10_1016_j_eswa_2021_116489 crossref_primary_10_1155_2021_5531940 crossref_primary_10_3390_brainsci14121209 crossref_primary_10_1186_s40708_021_00129_1 crossref_primary_10_1038_s41467_024_55611_1 crossref_primary_10_1016_j_neuroimage_2024_120625 crossref_primary_10_1371_journal_pcbi_1010778 crossref_primary_10_3758_s13415_021_00913_w crossref_primary_10_1017_S0033291719001934 crossref_primary_10_1109_TCDS_2023_3287184 crossref_primary_10_1016_j_chemolab_2019_103875 crossref_primary_10_1371_journal_pone_0212582 crossref_primary_10_1016_j_inffus_2022_07_017 crossref_primary_10_1093_cercor_bhac060 crossref_primary_10_7554_eLife_95125 crossref_primary_10_1016_j_mri_2018_03_003 crossref_primary_10_1016_j_pscychresns_2017_04_004 crossref_primary_10_1111_pcn_12502 crossref_primary_10_1162_netn_a_00275 crossref_primary_10_31202_ecjse_728049 crossref_primary_10_1016_j_nicl_2018_01_006 crossref_primary_10_1016_j_ajp_2020_101984 crossref_primary_10_1109_TCAD_2019_2925377 crossref_primary_10_1016_j_isprsjprs_2018_07_005 crossref_primary_10_3389_fnhum_2017_00359 crossref_primary_10_1016_j_neuroimage_2021_118044 crossref_primary_10_1016_j_jad_2015_12_053 crossref_primary_10_1016_j_neuroimage_2019_06_020 crossref_primary_10_1016_j_eswa_2015_01_062 crossref_primary_10_1016_j_neuroimage_2018_03_007 crossref_primary_10_3233_XST_160565 crossref_primary_10_1007_s12046_022_02015_w crossref_primary_10_32604_cmc_2022_026145 crossref_primary_10_1016_j_artmed_2019_101709 crossref_primary_10_1109_TEVC_2023_3254155 crossref_primary_10_1007_s11682_020_00260_3 crossref_primary_10_1088_1741_2552_acbe1f crossref_primary_10_2214_AJR_18_20443 crossref_primary_10_1016_j_bspc_2023_105189 crossref_primary_10_1038_nn_4238 crossref_primary_10_1177_0284185119881742 crossref_primary_10_1109_JBHI_2017_2655720 crossref_primary_10_1016_j_bspc_2017_01_007 crossref_primary_10_1177_1550059418782093 crossref_primary_10_1111_bdi_12828 crossref_primary_10_1007_s00330_018_5698_2 crossref_primary_10_1016_j_media_2022_102430 crossref_primary_10_1016_j_neuroimage_2018_08_022 crossref_primary_10_1038_s43856_024_00541_8 crossref_primary_10_1007_s42979_023_02208_y crossref_primary_10_1016_j_aca_2022_340772 crossref_primary_10_1093_jeea_jvac025 crossref_primary_10_1007_s12021_020_09468_6 crossref_primary_10_1109_TCYB_2025_3535722 crossref_primary_10_1371_journal_pone_0308329 crossref_primary_10_1371_journal_pone_0160697 crossref_primary_10_1109_TCDS_2021_3090217 crossref_primary_10_1016_j_compbiomed_2020_104142 crossref_primary_10_1016_j_exger_2019_110744 crossref_primary_10_1109_ACCESS_2019_2936415 crossref_primary_10_1186_s40854_021_00249_x crossref_primary_10_1007_s10044_017_0618_7 crossref_primary_10_1109_ACCESS_2021_3055806 crossref_primary_10_3389_fnsys_2021_595507 crossref_primary_10_1155_2019_6328329 crossref_primary_10_1109_ACCESS_2022_3203973 crossref_primary_10_1007_s12021_018_9371_3 crossref_primary_10_1002_ima_22290 crossref_primary_10_1007_s11682_017_9731_x crossref_primary_10_1016_j_measurement_2023_112489 crossref_primary_10_7554_eLife_95125_3 crossref_primary_10_1007_s42979_025_03834_4 crossref_primary_10_1038_s41398_024_03117_1 crossref_primary_10_1371_journal_pone_0193521 crossref_primary_10_3390_electronics13234694 crossref_primary_10_1016_j_cmpb_2021_106131 crossref_primary_10_1016_j_jneumeth_2024_110109 crossref_primary_10_1016_j_jpsychires_2021_04_029 crossref_primary_10_1109_ACCESS_2024_3438081 crossref_primary_10_1007_s12021_017_9324_2 crossref_primary_10_1109_ACCESS_2024_3510888 crossref_primary_10_1016_j_jneumeth_2019_01_011 crossref_primary_10_3389_fnins_2018_00411 crossref_primary_10_1007_s11042_023_17922_1 crossref_primary_10_1038_s41598_021_88845_w crossref_primary_10_3389_fpsyt_2015_00021 crossref_primary_10_1007_s40998_023_00622_9 crossref_primary_10_7554_eLife_68980 crossref_primary_10_1016_j_acra_2022_02_007 crossref_primary_10_1371_journal_pone_0264780 crossref_primary_10_1080_10255842_2025_2457122 crossref_primary_10_1016_j_patcog_2016_09_020 crossref_primary_10_1038_s41398_020_01193_7 crossref_primary_10_1007_s00261_020_02820_z crossref_primary_10_1016_j_neuroimage_2018_07_032 crossref_primary_10_1007_s11548_024_03289_7 crossref_primary_10_1016_S2215_0366_15_00549_0 crossref_primary_10_1111_acps_12887 crossref_primary_10_1038_s41583_022_00584_7 crossref_primary_10_3389_fnagi_2017_00309 crossref_primary_10_1007_s00261_021_03359_3 crossref_primary_10_1142_S0219691320500885 crossref_primary_10_3389_fneur_2022_812439 crossref_primary_10_1002_wics_1617 crossref_primary_10_1007_s10479_017_2405_7 crossref_primary_10_1109_ACCESS_2024_3382819 crossref_primary_10_1016_j_ejrad_2018_08_014 crossref_primary_10_1371_journal_pone_0297435 crossref_primary_10_1007_s00362_018_1045_6 crossref_primary_10_1002_ima_22398 crossref_primary_10_1155_2020_6405930 crossref_primary_10_1002_hbm_25095 crossref_primary_10_1007_s00234_019_02211_2 crossref_primary_10_1007_s12021_015_9292_3 crossref_primary_10_1016_j_neuroimage_2016_05_053 crossref_primary_10_1007_s11063_021_10479_w crossref_primary_10_1016_j_brachy_2019_04_006 crossref_primary_10_3389_fnhum_2017_00362 crossref_primary_10_1016_j_brs_2020_10_001 crossref_primary_10_3389_fncom_2021_735991 crossref_primary_10_3389_fnins_2020_00694 crossref_primary_10_3389_fnhum_2017_00365 crossref_primary_10_1007_s12021_024_09712_3 crossref_primary_10_1002_hbm_24797 crossref_primary_10_1111_bdi_12222 crossref_primary_10_1002_ima_22141 crossref_primary_10_3389_fpsyt_2018_00242 crossref_primary_10_3389_fnins_2020_00226 crossref_primary_10_3390_computers10020024 crossref_primary_10_1162_netn_a_00176 crossref_primary_10_1007_s11831_024_10176_6 crossref_primary_10_1016_j_patcog_2022_109254 crossref_primary_10_1016_j_neunet_2019_11_013 crossref_primary_10_1109_TBME_2023_3294223 crossref_primary_10_1016_j_drudis_2024_103889 crossref_primary_10_1016_j_nicl_2021_102584 crossref_primary_10_1016_j_patcog_2016_08_011 crossref_primary_10_1016_j_asoc_2019_105748 crossref_primary_10_1007_s10803_022_05767_w crossref_primary_10_1016_j_asoc_2019_105986 crossref_primary_10_1088_1741_2552_aba7cd crossref_primary_10_1109_ACCESS_2018_2815770 crossref_primary_10_1016_j_neuroimage_2015_05_071 crossref_primary_10_1111_ejn_15598 crossref_primary_10_3390_proteomes6020020 crossref_primary_10_1007_s11682_019_00191_8 crossref_primary_10_1016_j_inffus_2021_07_001 crossref_primary_10_1109_TCBB_2022_3155659 crossref_primary_10_1016_j_neuroimage_2019_01_053 crossref_primary_10_1016_j_neuroimage_2016_02_016 crossref_primary_10_1109_JSEN_2023_3321987 crossref_primary_10_1007_s10844_021_00653_w crossref_primary_10_1016_j_plrev_2024_04_012 crossref_primary_10_1142_S0129065722500071 crossref_primary_10_1007_s12021_020_09470_y crossref_primary_10_1016_j_neuroimage_2021_118431 crossref_primary_10_1017_S0033291715000768 crossref_primary_10_1016_j_media_2023_102892 crossref_primary_10_1007_s00062_024_01422_2 crossref_primary_10_1093_biostatistics_kxac031 crossref_primary_10_1016_j_biopsych_2021_09_007 crossref_primary_10_1016_j_compbiomed_2018_05_018 crossref_primary_10_1016_j_neuroimage_2017_08_059 crossref_primary_10_1007_s11548_014_1130_9 crossref_primary_10_1007_s11357_023_00831_4 crossref_primary_10_1038_s41598_023_43273_w crossref_primary_10_1109_JBHI_2024_3366662 crossref_primary_10_1177_0004867419888027 crossref_primary_10_1007_s11548_019_02084_z crossref_primary_10_1177_15459683231173668 crossref_primary_10_1007_s10489_023_05115_0 crossref_primary_10_1016_j_jneumeth_2021_109271 crossref_primary_10_3389_fninf_2019_00010 crossref_primary_10_1007_s11517_020_02273_y crossref_primary_10_1016_j_jpsychires_2015_01_015 crossref_primary_10_1017_S0033291720003608 crossref_primary_10_1038_s41598_025_93106_1 crossref_primary_10_1186_s12993_015_0076_6 crossref_primary_10_1002_sim_9553 crossref_primary_10_1007_s11042_022_11911_6 crossref_primary_10_1016_j_jneumeth_2018_09_007 crossref_primary_10_1016_j_jneumeth_2019_108567 crossref_primary_10_1016_j_pscychresns_2015_10_002 crossref_primary_10_1002_hbm_22542 crossref_primary_10_1111_bdi_12895 crossref_primary_10_1177_1460458219898568 crossref_primary_10_1109_TITS_2019_2905611 crossref_primary_10_1016_j_nicl_2017_09_021 crossref_primary_10_1007_s00256_023_04333_4 crossref_primary_10_1016_j_compmedimag_2014_07_002 crossref_primary_10_1007_s00521_024_09457_9 crossref_primary_10_1111_sjos_12522 crossref_primary_10_3390_su12125037 crossref_primary_10_1007_s10143_024_03060_1 crossref_primary_10_1007_s41870_023_01579_y crossref_primary_10_1002_ima_22353 crossref_primary_10_1016_j_jad_2021_10_122 crossref_primary_10_1016_j_neuroimage_2018_09_031 crossref_primary_10_1111_acps_13233 crossref_primary_10_1002_acm2_13162 crossref_primary_10_1007_s10462_024_11029_1 crossref_primary_10_3390_s23073382 crossref_primary_10_1109_ACCESS_2024_3360272 crossref_primary_10_3389_fpsyt_2021_699813 crossref_primary_10_1007_s13311_022_01208_9 crossref_primary_10_1016_j_bspc_2016_02_009 crossref_primary_10_1007_s12021_020_09476_6 crossref_primary_10_1016_j_ijheatmasstransfer_2021_120997 crossref_primary_10_1007_s12264_023_01057_2 crossref_primary_10_1098_rsos_221517 crossref_primary_10_1007_s40708_016_0048_0 crossref_primary_10_2147_NDT_S354265 crossref_primary_10_3389_fnins_2017_00749 crossref_primary_10_1007_s12021_019_9415_3 crossref_primary_10_1016_j_jpsychires_2023_07_034 crossref_primary_10_1093_cercor_bhab392 crossref_primary_10_1016_j_jneumeth_2019_108544 crossref_primary_10_1016_j_neuroimage_2019_05_082 crossref_primary_10_1109_TBME_2015_2466616 crossref_primary_10_52294_001c_117311 crossref_primary_10_1007_s11042_022_12240_4 crossref_primary_10_1016_j_compbiomed_2022_105554 crossref_primary_10_3389_fbioe_2020_00285 crossref_primary_10_1016_j_nicl_2024_103604 crossref_primary_10_1111_acps_12824 crossref_primary_10_1088_1361_6560_aada66 crossref_primary_10_1016_j_acra_2018_11_014 crossref_primary_10_1016_j_jneumeth_2020_108908 crossref_primary_10_1016_j_neuroimage_2023_120412 crossref_primary_10_1093_braincomms_fcaa096 crossref_primary_10_1007_s12083_021_01262_8 crossref_primary_10_1007_s10707_022_00479_w crossref_primary_10_1007_s00330_018_5876_2 crossref_primary_10_1016_j_neuroimage_2019_116038 crossref_primary_10_1002_brb3_540 crossref_primary_10_1016_j_neuroimage_2017_08_009 crossref_primary_10_1088_1741_2552_aa814b crossref_primary_10_1111_cns_14684 crossref_primary_10_1016_j_jclepro_2024_144287 crossref_primary_10_1109_JTEHM_2024_3366504 crossref_primary_10_1148_radiol_222891 crossref_primary_10_2174_1874120702115010001 crossref_primary_10_1002_hbm_25907 crossref_primary_10_3233_JIFS_234415 crossref_primary_10_3389_fnins_2021_630747 crossref_primary_10_1016_j_neuroimage_2019_02_057 crossref_primary_10_1089_neu_2022_0339 crossref_primary_10_1016_j_neuroimage_2015_08_006 crossref_primary_10_1007_s00702_016_1673_8 crossref_primary_10_3389_fnhum_2019_00164 crossref_primary_10_1016_j_neunet_2021_05_016 crossref_primary_10_3233_JAD_215654 crossref_primary_10_3389_fninf_2023_1266713 crossref_primary_10_1016_j_pscychresns_2017_03_003 crossref_primary_10_3390_cancers14122922 crossref_primary_10_1016_j_cmpb_2021_106549 crossref_primary_10_1016_j_xcrp_2025_102464 crossref_primary_10_1016_j_nsa_2023_103931 crossref_primary_10_1109_TPAMI_2019_2901688 crossref_primary_10_1016_j_nicl_2018_10_011 crossref_primary_10_3390_brainsci10090603 crossref_primary_10_1016_j_buildenv_2024_111775 crossref_primary_10_1016_j_nicl_2016_12_011 crossref_primary_10_1186_s40708_019_0094_5 crossref_primary_10_1016_j_neuroscience_2017_10_033 crossref_primary_10_3389_fnhum_2019_00054 crossref_primary_10_1016_j_neubiorev_2024_105640 crossref_primary_10_3233_IDT_220315 crossref_primary_10_1016_j_eswa_2023_120152 crossref_primary_10_3389_fninf_2017_00041 crossref_primary_10_1016_j_neubiorev_2022_104552 crossref_primary_10_1109_ACCESS_2018_2863752 crossref_primary_10_1109_ACCESS_2025_3535225 crossref_primary_10_1177_0271678X241241895 crossref_primary_10_1002_hbm_25013 crossref_primary_10_1016_j_inffus_2023_101960 crossref_primary_10_1371_journal_pone_0194479 crossref_primary_10_3390_jpm11020128 crossref_primary_10_1088_1361_6579_aadf49 crossref_primary_10_1016_j_heliyon_2019_e02216 crossref_primary_10_3389_fninf_2018_00017 crossref_primary_10_1016_j_patcog_2021_107988 crossref_primary_10_1007_s12021_024_09671_9 crossref_primary_10_1007_s11548_024_03237_5 crossref_primary_10_1016_j_compchemeng_2022_107664 crossref_primary_10_1016_j_geotexmem_2021_04_007 crossref_primary_10_1038_s41598_019_45774_z crossref_primary_10_1016_j_jad_2015_12_066 crossref_primary_10_1007_s13246_021_01021_2 crossref_primary_10_3389_fendo_2024_1426781 crossref_primary_10_1016_j_bpsc_2016_01_001 crossref_primary_10_1016_j_neuroimage_2016_03_075 crossref_primary_10_1038_s41746_020_00341_z crossref_primary_10_1002_hbm_25368 crossref_primary_10_1016_j_ijmedinf_2025_105809 crossref_primary_10_1002_2016JE005238 crossref_primary_10_1007_s00366_021_01479_4 crossref_primary_10_1007_s00330_020_07324_4 crossref_primary_10_1111_pcn_13736 crossref_primary_10_3389_fpsyt_2017_00099 crossref_primary_10_1109_ACCESS_2020_3048309 crossref_primary_10_3389_fneur_2018_00930 crossref_primary_10_1038_s41598_018_27997_8 crossref_primary_10_1016_j_neuroimage_2021_118625 crossref_primary_10_1016_j_neubiorev_2015_08_001 crossref_primary_10_1016_j_neubiorev_2017_07_004 crossref_primary_10_1089_brain_2020_0878 crossref_primary_10_1371_journal_pone_0310312 crossref_primary_10_1016_j_crad_2019_12_008 crossref_primary_10_3389_fnhum_2014_00692
Cites_doi	10.1016/j.neuroimage.2005.01.048 10.3389/fnsys.2012.00074 10.1016/j.neuroimage.2012.06.036 10.1016/j.neuroimage.2012.01.058 10.1016/j.neuroimage.2011.06.044 10.1006/nimg.2001.1033 10.1016/j.neuroimage.2010.02.040 10.1002/(SICI)1097-0193(1996)4:2<140::AID-HBM5>3.0.CO;2-3 10.1016/j.neuroimage.2007.05.031 10.1006/nimg.1998.0425 10.1007/s12021-013-9178-1 10.1001/archgenpsychiatry.2009.62 10.1007/978-3-540-79982-5_14 10.1023/A:1012487302797 10.1016/j.neubiorev.2012.01.004 10.1016/j.mri.2008.01.052 10.1016/j.neuroimage.2007.07.007 10.1016/j.neucom.2010.06.025 10.1016/j.pscychresns.2009.04.017 10.1006/nimg.2001.1034 10.1016/j.neuroimage.2010.01.005 10.1016/j.patcog.2011.06.001 10.1371/journal.pone.0014277 10.1016/j.neuron.2011.12.014 10.1002/hbm.20577 10.1016/j.jneumeth.2011.10.031 10.1016/j.neuroimage.2006.11.021 10.1016/S0169-7439(01)00155-1 10.1002/hbm.1048 10.1109/TMI.2006.886812 10.1016/j.neuroimage.2011.12.053 10.1016/j.neuroimage.2008.10.057 10.1111/j.2517-6161.1996.tb02080.x 10.1523/JNEUROSCI.4248-09.2010 10.1093/bioinformatics/btm344 10.1016/j.neuroimage.2004.03.038 10.1016/j.neuroimage.2010.04.273 10.1007/978-3-642-15314-3_20 10.1016/S0004-3702(97)00043-X 10.1016/j.neuroimage.2010.12.035 10.2174/1874440001206010001 10.1109/ISBI.2012.6235766 10.1016/j.neuroimage.2010.03.051 10.1016/j.neuroimage.2004.07.020 10.1016/j.neuroimage.2011.05.023 10.1016/j.neulet.2011.07.049 10.1109/TMI.2007.892501 10.1146/annurev-psych-113011-143804 10.1023/B:MACH.0000035475.85309.1b 10.1016/j.neuroimage.2010.12.028 10.1038/nn1445 10.1038/nmeth.1661 10.1016/j.neuroimage.2011.05.011 10.1016/j.neuroimage.2006.08.016 10.1016/j.neuroimage.2012.01.055 10.1006/nimg.1996.0016 10.1002/hipo.20960 10.1016/j.neuroimage.2010.11.002 10.1111/j.1467-9868.2005.00503.x 10.1371/journal.pone.0006353 10.1016/j.neuroimage.2011.10.015 10.1007/s00234-008-0463-x 10.1016/j.neuroimage.2011.08.070 10.1016/j.neuroimage.2008.08.020 10.1016/j.neuroimage.2012.08.001 10.1093/brain/awm205 10.3389/fnsys.2012.00068 10.1016/j.mri.2006.10.017 10.1007/978-0-387-39351-3 10.1016/j.neuroimage.2009.10.072 10.1016/j.neuroimage.2006.08.041 10.1002/9780470316849 10.1016/j.neuroimage.2013.02.055 10.1016/j.neuroimage.2009.04.053 10.1093/bioinformatics/bti114 10.1016/j.neuroimage.2012.03.091 10.1002/mrm.22159 10.1016/j.neuroimage.2010.07.034 10.3389/fnsys.2012.00058 10.1016/j.neurobiolaging.2006.11.010 10.1126/science.1194144 10.1016/j.biopsych.2007.08.020 10.1016/j.pscychresns.2012.04.007 10.1016/j.tics.2006.07.005 10.7551/mitpress/3717.001.0001 10.1016/j.neuroimage.2013.05.088 10.1093/scan/nsm015 10.1016/j.neuroimage.2010.05.051 10.1016/j.neuroimage.2010.09.062 10.1148/radiol.10100612 10.1016/j.neuroimage.2008.12.039 10.1016/j.neuroimage.2009.12.092 10.1038/nmeth.1635 10.1016/j.patcog.2008.08.001 10.1016/S1053-8119(03)00316-1 10.1016/S0920-9964(00)00171-7 10.1093/oso/9780198538493.001.0001 10.1016/j.mri.2009.01.006 10.1002/hbm.20718 10.1371/journal.pone.0029482 10.1002/jmri.22210 10.1007/978-3-642-24446-9_4 10.1016/j.neulet.2009.06.052 10.1002/hbm.20129 10.3389/neuro.09.032.2009 10.3389/fnhum.2010.00192 10.1016/S0925-4927(03)00070-2 10.1016/j.neuroimage.2007.04.009 10.1016/j.neuroimage.2008.06.037 10.1007/s10957-008-9458-3 10.1073/pnas.0600244103 10.1016/j.neuroimage.2011.04.016 10.7551/mitpress/3206.001.0001 10.1016/j.cub.2010.01.053 10.1093/brain/aws059 10.1002/hbm.21170 10.1093/brain/aws084 10.1016/j.neuroimage.2011.10.003 10.18637/jss.v033.i01 10.3389/fnins.2012.00115 10.1016/j.neuroimage.2007.11.029 10.1111/j.1467-9868.2011.00771.x 10.1162/neco.2007.09-06-340 10.1016/j.neuroimage.2012.01.096 10.1093/brain/awm319 10.1016/S1053-8119(03)00049-1 10.4324/9780203489536 10.1186/1471-244X-11-18 10.1007/978-3-642-33530-3_1 10.1371/journal.pone.0063660 10.1002/jmri.22806 10.1016/j.biopsych.2008.07.025 10.1109/TNN.2004.837781 10.1016/j.jpsychires.2010.07.008 10.1016/j.neuroimage.2010.07.074 10.1016/j.neuroimage.2009.05.056 10.1006/nimg.2000.0582 10.1038/npp.2011.9 10.3233/JAD-2010-100840 10.1016/j.neuroimage.2011.11.066 10.1016/j.neuroimage.2010.10.026 10.1016/j.neuroimage.2013.05.036 10.1109/MEMB.2006.1607672 10.1038/jcbfm.2010.86 10.1016/j.neuroimage.2011.01.008 10.31887/DCNS.2009.11.4/mbrammer 10.1016/j.neuroimage.2009.08.024 10.1385/NI:3:1:065 10.1001/archgenpsychiatry.2010.153 10.1515/9781400874668 10.1016/j.neuroimage.2008.04.255 10.1016/j.neuroimage.2005.06.070 10.1016/j.cub.2012.07.002 10.1038/nn.2303
ContentType	Journal Article
Copyright	Springer Science+Business Media New York 2013 2015 INIST-CNRS Springer Science+Business Media New York 2014
Copyright_xml	– notice: Springer Science+Business Media New York 2013 – notice: 2015 INIST-CNRS – notice: Springer Science+Business Media New York 2014
DBID	AAYXX CITATION IQODW CGR CUY CVF ECM EIF NPM 3V. 7TK 7X7 7XB 88A 88E 88G 8AO 8FE 8FH 8FI 8FJ 8FK ABUWG AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M2M M7P PHGZM PHGZT PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PSYQQ Q9U 7X8 7QO 8FD FR3 P64 5PM
DOI	10.1007/s12021-013-9204-3
DatabaseName	CrossRef Pascal-Francis Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Neurosciences Abstracts ProQuest Health & Medical Collection ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) Psychology Database (Alumni) ProQuest Pharma Collection ProQuest SciTech Collection ProQuest Natural Science Collection ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences ProQuest Health & Medical Collection Medical Database Psychology Database Biological Science Database ProQuest Central Premium ProQuest One Academic ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest One Psychology ProQuest Central Basic MEDLINE - Academic Biotechnology Research Abstracts Technology Research Database Engineering Research Database Biotechnology and BioEngineering Abstracts PubMed Central (Full Participant titles)
DatabaseTitle	CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) ProQuest One Psychology ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central China ProQuest Biology Journals (Alumni Edition) ProQuest Central ProQuest One Applied & Life Sciences ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Biological Science Collection ProQuest Central Basic ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Psychology Journals (Alumni) Biological Science Database ProQuest SciTech Collection Neurosciences Abstracts ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest Psychology Journals ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic Engineering Research Database Biotechnology Research Abstracts Technology Research Database Biotechnology and BioEngineering Abstracts
DatabaseTitleList	MEDLINE Engineering Research Database ProQuest One Psychology MEDLINE - Academic
Database_xml	– sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 3 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Anatomy & Physiology Applied Sciences
EISSN	1559-0089
EndPage	244
ExternalDocumentID	PMC4040248 3287757381 24013948 28569706 10_1007_s12021_013_9204_3
Genre	Review Research Support, Non-U.S. Gov't Journal Article Research Support, N.I.H., Extramural
GrantInformation_xml	– fundername: NIMH NIH HHS grantid: R01 MH085667 – fundername: NIMH NIH HHS grantid: MH R01085667
GroupedDBID	--- -56 -5G -BR -EM -Y2 -~C .86 .VR 06C 06D 0R~ 0VY 123 1N0 203 29N 29~ 2J2 2JN 2JY 2KG 2KM 2LR 2VQ 2~H 30V 3V. 4.4 406 408 40D 40E 53G 5VS 67N 6NX 7X7 88A 88E 8AO 8FE 8FH 8FI 8FJ 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANXM AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABDZT ABECU ABFTD ABFTV ABHLI ABHQN ABIVO ABJNI ABJOX ABKCH ABMNI ABMQK ABNWP ABPLI ABQBU ABSXP ABTEG ABTHY ABTKH ABTMW ABUWG ABWNU ABXPI ACAOD ACCUX ACDTI ACGFS ACHSB ACHXU ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACPRK ACSNA ACZOJ ADHHG ADHIR ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFGCZ AFKRA AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHMBA AHSBF AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ AKMHD ALIPV ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARMRJ AXYYD AZQEC B-. BA0 BBNVY BDATZ BENPR BGNMA BHPHI BPHCQ BVXVI CAG CCPQU COF CS3 CSCUP DDRTE DNIVK DPUIP DU5 DWQXO EBD EBLON EBS EIOEI EJD EMOBN ESBYG F5P FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC FYUFA G-Y G-Z GGCAI GGRSB GJIRD GNUQQ GNWQR GQ6 GQ7 H13 HCIFZ HF~ HG6 HLICF HMCUK HMJXF HRMNR HZ~ IJ- IKXTQ IWAJR IXD I~X I~Z J-C J0Z JBSCW JZLTJ KOV LK8 LLZTM M0L M1P M2M M4Y M7P MA- NPVJJ NQJWS NU0 O9- O9J OVD P2P PF- PQQKQ PROAC PSQYO PSYQQ PT4 Q2X QOR QOS R89 R9I ROL RPX RSV S16 S1Z S27 S3A S3B SAP SBL SDH SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW SSXJD STPWE SV3 SZN T13 TEORI TSG TUC U2A U9L UG4 UKHRP UOJIU UTJUX UZXMN VC2 VFIZW W48 WK8 YLTOR Z83 Z88 ZMTXR ZOVNA ~A9 AAPKM AAYXX ABBRH ABDBE ABFSG ACSTC AEZWR AFDZB AFHIU AFOHR AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION PHGZM PHGZT IQODW CGR CUY CVF ECM EIF NPM 7TK 7XB 8FK ABRTQ K9. PJZUB PKEHL PPXIY PQEST PQGLB PQUKI PRINS Q9U 7X8 7QO 8FD FR3 P64 5PM
ID	FETCH-LOGICAL-c599t-5d288889ccf3f920cb3750c4951b61c81fbe168999f49f8bcd49070bd4cfb7b63
IEDL.DBID	U2A
ISSN	1539-2791 1559-0089
IngestDate	Thu Aug 21 13:21:50 EDT 2025 Thu Jul 10 19:57:34 EDT 2025 Thu Jul 10 21:57:06 EDT 2025 Fri Jul 25 19:04:40 EDT 2025 Thu Apr 03 07:05:21 EDT 2025 Wed Apr 02 07:26:05 EDT 2025 Tue Jul 01 04:24:52 EDT 2025 Thu Apr 24 23:11:53 EDT 2025 Fri Feb 21 02:26:54 EST 2025
IsDoiOpenAccess	false
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	2
Keywords	Dimensionality reduction Predictive Modeling Neuroimaging Feature selection Machine learning Multivariate Feature reduction Central nervous system Modeling Encephalon Multidimensional analysis Voxel Selection criterion Age Medical application Computer vision Data analysis Redundancy Inference Data reduction Dimension reduction Discrimination Medical imagery Tridimensional image Artificial intelligence
Language	English
License	http://www.springer.com/tdm CC BY 4.0
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c599t-5d288889ccf3f920cb3750c4951b61c81fbe168999f49f8bcd49070bd4cfb7b63
Notes	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23
OpenAccessLink	http://doi.org/10.1007/s12021-013-9204-3
PMID	24013948
PQID	1519493955
PQPubID	54206
PageCount	16
ParticipantIDs	pubmedcentral_primary_oai_pubmedcentral_nih_gov_4040248 proquest_miscellaneous_1524413183 proquest_miscellaneous_1520111420 proquest_journals_1519493955 pubmed_primary_24013948 pascalfrancis_primary_28569706 crossref_primary_10_1007_s12021_013_9204_3 crossref_citationtrail_10_1007_s12021_013_9204_3 springer_journals_10_1007_s12021_013_9204_3
ProviderPackageCode	CITATION AAYXX
PublicationCentury	2000
PublicationDate	2014-04-01
PublicationDateYYYYMMDD	2014-04-01
PublicationDate_xml	– month: 04 year: 2014 text: 2014-04-01 day: 01
PublicationDecade	2010
PublicationPlace	Boston
PublicationPlace_xml	– name: Boston – name: New York, NY – name: United States – name: Totowa
PublicationTitle	Neuroinformatics (Totowa, N.J.)
PublicationTitleAbbrev	Neuroinform
PublicationTitleAlternate	Neuroinformatics
PublicationYear	2014
Publisher	Springer US Springer Springer Nature B.V
Publisher_xml	– name: Springer US – name: Springer – name: Springer Nature B.V
References	Calhoun, Adali, Pearlson, Pekar (CR18) 2001; 14 Wan, Kim, Inlow, Nho, Swaminathan, Risacher, Fang, Weiner, Beg, Wang (CR169) 2011; 2011 Kovalev, Petrou, Suckling (CR91) 2003; 124 Kriegeskorte, Lindquist, Nichols, Poldrack, Vul (CR94) 2010; 30 McIntosh, Misic (CR115) 2013; 64 Mwangi, Ebmeier, Matthews, Douglas Steele (CR124) 2012; 135 CR159 CR31 Eickhoff, Laird, Grefkes, Wang, Zilles, Fox (CR54) 2009; 30 Yan, Risacher, Kim, Simon, Li, Wan, Wang, Huang, Saykin, Shen (CR175) 2012; 7509 Fan, Rao, Hurt, Giannetta, Korczykowski, Shera, Avants, Gee (CR57) 2007; 36 Franke, Luders, May, Wilke, Gaser (CR62) 2012; 63 Valente, De Martino, Esposito, Goebel, Formisano (CR164) 2011; 56 Erhardt, Rachakonda, Bedrick, Allen, Adali, Calhoun (CR55) 2011; 32 Tseng, Yun (CR163) 2009; 140 Calderoni, Retico, Biagi, Tancredi, Muratori, Tosetti (CR15) 2012; 59 He, Wang, Jiang (CR76) 2008; 72 Sui, Adali, Yu, Chen, Calhoun (CR155) 2012; 204 Sidhu, Asgarian, Greiner, Brown (CR151) 2012; 6 Birn, Murphy, Bandettini (CR7) 2008; 29 Hansen, Larsen, Nielsen, Strother, Rostrup, Savoy, Lange, Sidtis, Svarer, Paulson (CR73) 1999; 9 Norman, Polyn, Detre, Haxby (CR129) 2006; 10 CR171 CR48 Salimi-Khorshidi, Smith, Keltner, Wager, Nichols (CR143) 2009; 45 Ziegler, Dahnke, Winkler, Gaser (CR185) 2013; 82 Strother, Anderson, Hansen, Kjems, Kustra, Sidtis, Frutiger, Muley, LaConte, Rottenberg (CR154) 2002; 15 Zhang, Wang, Zhou, Yuan, Shen (CR182) 2011; 55 Duchesnay, Cachia, Roche, Riviere, Cointepas, Papadopoulos-Orfanos, Zilbovicius, Martinot, Regis, Mangin (CR49) 2007; 26 Hua, Dougherty (CR79) 2009; 42 Casanova, Whitlow, Wagner, Espeland, Maldjian (CR24) 2012; 6 Wold, Sjostrom, Eriksson (CR174) 2001; 58 Chaves, Ramarez, Garriz, Lopez, Salas-Gonzalez, Alvarez, Segovia (CR29) 2009; 461 Johansen-Berg, Behrens (CR82) 2009 Hoeft, Walter, Lightbody, Hazlett, Chang, Piven, Reiss (CR78) 2011; 68 Tagliazucchi, Wegner, Morzelewski, Borisov, Jahnke, Laufs (CR156) 2012; 63 Caprihan, Pearlson, Calhoun (CR21) 2008; 42 Calhoun, Adali (CR17) 2006; 25 Lim, Marquand, Cubillo, Smith, Chantiluke, Simmons, Mehta, Rubia (CR102) 2013; 8 Mourao-Miranda, Bokde, Born, Hampel, Stetter (CR121) 2005; 28 CR58 Ashburner (CR2) 2007; 38 Chen, Reiman, Huan, Caselli, Bandy, Ayutyanont, Alexander (CR30) 2009; 47 Fan, Shen, Gur, Gur, Davatzikos (CR56) 2006; 26 Brown, Kuperman, Chung, Erhart, McCabe, Hagler, Venkatraman, Akshoomoff, Amaral, Bloss (CR13) 2012; 22 Davatzikos, Fan, Wu, Shen, Resnick (CR41) 2008; 29 Martinez-Montes, Valdes-Sosa, Miwakeichi, Goldman, Cohen (CR113) 2004; 22 Ryali, Supekar, Abrams, Menon (CR141) 2010; 51 Zhang, Wang, Zhou, Yuan, Shen (CR181) 2011; 55 Balci, Sabuncu, Yoo, Gosh, Gabrieli, Gabrieli, Golland (CR5) 2008; 11 CR135 CR136 Duchesnay, Cachia, Boddaert, Chabane, Mangin, Martinot, Brunelle, Zilbovicius (CR50) 2011; 57 CR51 Fort, Lambert-Lacroix (CR60) 2005; 21 Laird, Lancaster, Fox (CR98) 2005; 3 CR132 Franke, Ziegler, Kloppel, Gaser (CR61) 2010; 50 Haller, Nguyen, Rodriguez, Emch, Gold, Bartsch, Lovblad, Giannakopoulos (CR72) 2010; 22 Costafreda, Chu, Ashburner, Fu (CR35) 2009; 4 Menzies, Achard, Chamberlain, Fineberg, Chen, delCampo, Sahakian, Robbins, Bullmore (CR116) 2007; 130 CR139 Calhoun, Sui, Kiehl, Turner, Allen, Pearlson (CR20) 2011; 2 Kriegeskorte, Goebel, Bandettini (CR92) 2006; 103 Langs, Menze, Lashkari, Golland (CR100) 2011; 56 Scholkopf, Smola (CR145) 2002 Ashburner, Friston (CR4) 2000; 11 Dosenbach, Nardos, Cohen, Fair, Power, Church, Nelson, Wig, Vogel, Lessov-Schlaggar (CR45) 2010; 329 Joliffe (CR84) 2002 CR150 Toussaint, Perlbarg, Bellec, Desarnaud, Lacomblez, Doyon, Habert, Benali (CR162) 2012; 63 Nho, Shen, Kim, Risacher, West, Foroud, Jack, Weiner, Saykin (CR128) 2010; 2010 Mitchell, Hutchinson, Niculescu, Pereira, Wang, Just, Newman (CR120) 2004; 57 CR146 Shen, Kim, Qi, Inlow, Swaminathan, Nho, Wan, Risacher, Shaw, Trojanowski (CR148) 2011; 7012 Linden (CR103) 2012; 73 CR144 Cox, Savoy (CR38) 2003; 19 Correa, AdalÄ, Calhoun (CR34) 2007; 25 Costafreda, Fu, Picchioni, Toulopoulou, McDonald, Kravariti, Walsge, Prata, Murray, McGuire (CR36) 2011; 11 Koutsouleris, Meisenzahl, Davatzikos, Bottlender, Frodl, Scheuerecker, Schmitt, Zetzsche, Decker, Reiser (CR90) 2009; 66 Wee, Yap, Zhang, Denny, Browndyke, Potter, Welsh-Bohmer, Wang, Shen (CR173) 2012; 59 Ecker, Rocha-Rego, Johnston, Mourao-Miranda, Marquand, Daly, Brammer, Murphy, Murphy (CR53) 2010; 49 Magnin, Mesrob, Kinkingnahun, Palagrini-Issac, Colliot, Sarazin, Dubois, Leharicy, Benali (CR108) 2009; 51 Cohen (CR33) 1998 Wee, Yap, Li, Denny, Browndyke, Potter, Welsh-Bohmer, Wang, Shen (CR172) 2011; 54 Bishop (CR9) 2006 Lohmann, Volz, Ullsperger (CR105) 2007; 37 MacIntosh, Bookstei, Haxby, Grady (CR107) 1996; 3 Marquand, Howard, Brammer, Chu, Coen, Mourao-Miranda (CR109) 2010; 49 McIntosh, Lobaugh (CR114) 2004; 23 Lopez, Ramirez, Garriz, Alvarez, Salas-Gonzalez, Segovia, Chaves, Padilla, Gomez-Rao (CR106) 2011; 74 Orru, Pettersson-Yeo, Marquand, Sartori, Mechelli (CR131) 2012; 36 Brammer (CR11) 2009; 11 Wang, Fan, Bhatt, Davatzikos (CR170) 2010; 50 Doyle, Ashburner, Zelaya, Williams, Mehta, Marquand (CR47) 2013; 81 Kloppel, Stonnington, Chu, Draganski, Scahill, Rohrer, Fox, Jack, Ashburner, Frackowiak (CR86) 2008; 131 Kwok, Tsang (CR96) 2004; 15 Chai, Chi-Chang Chen, Chiang, Ho, Chen, Ouyang, Yang, Lee, Chang (CR28) 2010; 32 Rasmussen, Madsen, Lund, Hansen (CR137) 2011; 55 Bonnici, Kumaran, Chadwick, Weiskopf, Hassabis, Maguire (CR10) 2011; 22 Thirion, Faugeras (CR158) 2003; 20 De Martino, Gentile, Esposito, Balsi, Di Salle, Goebel, Formisano (CR42) 2007; 34 Greenberg, Esterman, Wilson, Serences, Yantis (CR68) 2010; 30 Scott (CR147) 1992 Vapnik (CR166) 1999 CR6 Bishop (CR8) 1995 Dai, Yan, Wang, Wang, Xia, Li, He (CR40) 2012; 59 Misaki, Kim, Bandettini, Kriegeskorte (CR118) 2010; 53 CR130 Carroll, Cecchi, Rish, Garg, Rao (CR22) 2009; 44 Castro, Martinez-Raman, Pearlson, Sui, Calhoun (CR26) 2011; 58 Liu, Zhang, Shen (CR104) 2012; 60 Zhu, Zang, Liang, Tian, He, Li, Sui, Wang, Jiang (CR183) 2005; 8 Stonnington, Chu, Kloppel, Jack, Ashburner, Frackowiak (CR153) 2010; 51 Hinrichs, Singh, Mukherjee, Xu, Chung, Johnson (CR77) 2009; 48 Rasmussen, Abrahamsen, Madsen, Hansen (CR138) 2012; 60 CR88 CR126 CR87 CR83 Kohavi, John (CR89) 1997; 97 CR80 Deshpande, Li, Santhanam, Coles, Lynch, Hamann, Hu (CR44) 2010; 5 Haller, Bartsch, Nguyen, Rodriguez, Emch, Gold, Lovblad, Giannakopoulos (CR71) 2010; 257 Haynes, Rees (CR75) 2005; 8 Bunea, She, Ombao, Gongvatana, Devlin, Cohen (CR14) 2011; 55 De Martino, Valente, Staeren, Ashburner, Goebel, Formisano (CR43) 2008; 43 Mourao-Miranda, Reynaud, McGlone, Calvert, Brammer (CR122) 2006; 33 Friston, Poline, Holmes, Frith, Frakowiack (CR64) 1996; 4 Douglas, Harris, Yuille, Cohen (CR46) 2011; 56 Marquand, O'Daly, De Simoni, Alsop, Maguire, Williams, Zelaya, Mehta (CR112) 2012; 60 CR16 Zeng, Shen, Liu, Wang, Li, Fang, Zhou, Li, Hu (CR180) 2012; 135 Mwangi, Matthews, Steele (CR125) 2012; 35 Craddock, Holtzheimer, Hu, Mayberg (CR39) 2009; 62 Gothelf, Hoeft, Ueno, Sugiura, Lee, Thompson, Reiss (CR66) 2011; 45 Guyon, Weston, Barnhill, Vapnik (CR70) 2001; 46 Mitchell (CR119) 2011; 8 Pereira, Mitchell, Botvinick (CR133) 2009; 45 Tibshirani (CR160) 2011; 73 Zou, Hastie (CR186) 2005; 67 Mesrob, Magnin, Colliot, Sarazin, Hahn-Barma, Dubois, Gallinari, Leharicy, Kinkingnhun, Benali (CR117) 2008; 5128 Radulescu, Mujica-Parodi (CR134) 2009; 174 Kriegeskorte, Simmons, Bellgowan, Baker (CR93) 2009; 12 Bray, Chang, Hoeft (CR12) 2009; 3 Grana, Termenon, Savio, Gonzalez-Pinto, Echeveste, Perez, Besga (CR67) 2011; 502 Nester, O'Donnell, Mccarley, Niznikeiwicz, Barnard, Shen, Bookstein, Shenton (CR127) 2002; 53 CR176 Calhoun, Liu, Adali (CR19) 2009; 45 Laird, McMillan, Lancaster, Kochunov, Turkeltaub, Pardo, Fox (CR99) 2005; 25 Castro, Martanez-Ramon, Pearlson, Sui, Calhoun (CR25) 2011; 58 Allen, Erhardt, Damaraju, Gruner, Segall, Silva, Havlicek, Rachakonda, Fries, Kalyanam, Michael, Caprihan, Turner, Eichele, Adelsheim, Bryan, Bustillo, Clark, Ewing, Filbey, Ford, Hutchison, Jung, Kiehl, Kodituwakku, Komesu, Mayer, Pearlson, Phillips, Sadek, Michael, Teuscher, Thoma, Calhoun (CR1) 2011; 5 Coutanche, Thompson-Schill, Schultz (CR37) 2011; 57 Chu, Hsu, Chou, Bandettini, Lin (CR32) 2012; 60 Fu, Mourao-Miranda, Costafreda, Khanna, Marquand, Williams, Brammer (CR65) 2008; 63 Yarkoni, Poldrack, Nichols, Van Essen, Wager (CR177) 2011; 8 Formisano, De Martino, Valente (CR59) 2008; 26 Marquand, De Simoni, O'Daly, Williams, Mourao-Miranda, Mehta (CR111) 2011; 36 Tipping (CR161) 2001; 1 Guyon, Elisseeff (CR69) 2003; 7 Rizk-Jackson, Stoffers, Sheldon, Kuperman, Dale, Goldstein, Corey-Bloom, Poldrack, Aron (CR140) 2011; 56 Kjems, Hansen, Anderson, Frutiger, Muley, Sidtis, Rottenberg, Strother (CR85) 2002; 15 Mourao-Miranda, Oliveira, Ladouceur, Marquand, Brammer, Birmaher, Axelson, Phillips (CR123) 2012; 7 Wager, Lindquist, Kaplan (CR168) 2007; 2 Saeys, Inza, Larranaga (CR142) 2007; 23 Dukart, Mueller, Barthel, Villringer, Sabri, Schroeter (CR52) 2012; 212 Vounou, Janousova, Wolz, Stein, Thompson, Rueckert, Montana (CR167) 2011; 60 Yoon, Tamir, Minzenberg, Ragland, Ursu, Carter (CR179) 2008; 64 Theodoridis, Koutroumbas (CR157) 2009 Yoon, Lee, Im, Shin, Cho, Kim, Kwon, Kim (CR178) 2007; 34 Krishnan, Williams, McIntosh, Abdi (CR95) 2011; 56 Ingalhalikar, Parker, Bloy, Roberts, Verma (CR81) 2011; 57 CR23 Ashburner (CR3) 2009; 27 Van De Ville, Lee (CR165) 2012; 45 LaConte, Strother, Cherkassky, Anderson, Hu (CR97) 2005; 26 Marquand, Howard, Brammer, Chu, Coen, Mourao-Miranda (CR110) 2010; 49 Sheskin (CR149) 2004 Friedman, Hastie, Tibshirani (CR63) 2010; 33 Lee, Verleysen (CR101) 2007 Stone (CR152) 2004 Zhu, Zang, Cao, Yan, He, Jiang, Sui, Wang (CR184) 2008; 40 Chadwick, Hassabis, Weiskopf, Maguire (CR27) 2010; 20 Hanson, Halchenko (CR74) 2008; 20 9204_CR139 KA Norman (9204_CR129) 2006; 10 9204_CR135 U Yoon (9204_CR178) 2007; 34 9204_CR136 M Tipping (9204_CR161) 2001; 1 RC Craddock (9204_CR39) 2009; 62 C Hinrichs (9204_CR77) 2009; 48 G Fort (9204_CR60) 2005; 21 G Ziegler (9204_CR185) 2013; 82 M Ingalhalikar (9204_CR81) 2011; 57 G Langs (9204_CR100) 2011; 56 TM Mitchell (9204_CR119) 2011; 8 9204_CR58 B Mwangi (9204_CR125) 2012; 35 K Franke (9204_CR62) 2012; 63 C-Y Wee (9204_CR173) 2012; 59 R Tibshirani (9204_CR160) 2011; 73 S Kloppel (9204_CR86) 2008; 131 Y Wang (9204_CR170) 2010; 50 K Chen (9204_CR30) 2009; 47 9204_CR51 9204_CR52 J Mourao-Miranda (9204_CR121) 2005; 28 S LaConte (9204_CR97) 2005; 26 VD Calhoun (9204_CR19) 2009; 45 S Haller (9204_CR71) 2010; 257 G Orru (9204_CR131) 2012; 36 9204_CR142 Z Dai (9204_CR40) 2012; 59 N Kriegeskorte (9204_CR92) 2006; 103 A Marquand (9204_CR110) 2010; 49 CZ Zhu (9204_CR184) 2008; 40 T Yarkoni (9204_CR177) 2011; 8 E Martinez-Montes (9204_CR113) 2004; 22 S Bray (9204_CR12) 2009; 3 J Lee (9204_CR101) 2007 9204_CR126 CHY Fu (9204_CR65) 2008; 63 G Lohmann (9204_CR105) 2007; 37 9204_CR48 Y Fan (9204_CR57) 2007; 36 R Kohavi (9204_CR89) 1997; 97 C Davatzikos (9204_CR41) 2008; 29 K Franke (9204_CR61) 2010; 50 J Ashburner (9204_CR2) 2007; 38 9204_CR132 A Caprihan (9204_CR21) 2008; 42 9204_CR130 F Hoeft (9204_CR78) 2011; 68 TD Wager (9204_CR168) 2007; 2 H Johansen-Berg (9204_CR82) 2009 J Sui (9204_CR155) 2012; 204 9204_CR159 AR McIntosh (9204_CR114) 2004; 23 MJ Chadwick (9204_CR27) 2010; 20 9204_CR156 9204_CR6 OM Doyle (9204_CR47) 2013; 81 J Wan (9204_CR169) 2011; 2011 C Bishop (9204_CR8) 1995 I Joliffe (9204_CR84) 2002 G Valente (9204_CR164) 2011; 56 AF Marquand (9204_CR112) 2012; 60 B Thirion (9204_CR158) 2003; 20 MK Carroll (9204_CR22) 2009; 44 B Mwangi (9204_CR124) 2012; 135 F Pereira (9204_CR133) 2009; 45 9204_CR31 VD Calhoun (9204_CR17) 2006; 25 J Mourao-Miranda (9204_CR122) 2006; 33 N Koutsouleris (9204_CR90) 2009; 66 9204_CR162 V Vapnik (9204_CR166) 1999 C Chu (9204_CR32) 2012; 60 JTY Kwok (9204_CR96) 2004; 15 VD Calhoun (9204_CR18) 2001; 14 A Marquand (9204_CR109) 2010; 49 9204_CR148 N Correa (9204_CR34) 2007; 25 D Gothelf (9204_CR66) 2011; 45 9204_CR146 J Ashburner (9204_CR4) 2000; 11 A Laird (9204_CR98) 2005; 3 9204_CR144 L Menzies (9204_CR116) 2007; 130 9204_CR23 AR McIntosh (9204_CR115) 2013; 64 AR MacIntosh (9204_CR107) 1996; 3 B Scholkopf (9204_CR145) 2002 D Ville Van De (9204_CR165) 2012; 45 MN Coutanche (9204_CR37) 2011; 57 GS Sidhu (9204_CR151) 2012; 6 K Nho (9204_CR128) 2010; 2010 G Deshpande (9204_CR44) 2010; 5 AR Laird (9204_CR99) 2005; 25 J Cohen (9204_CR33) 1998 9204_CR150 E Duchesnay (9204_CR50) 2011; 57 KJ Friston (9204_CR64) 1996; 4 CM Stonnington (9204_CR153) 2010; 51 DEJ Linden (9204_CR103) 2012; 73 D Zhang (9204_CR181) 2011; 55 R Casanova (9204_CR24) 2012; 6 VD Calhoun (9204_CR20) 2011; 2 9204_CR179 CZ Zhu (9204_CR183) 2005; 8 J-W Chai (9204_CR28) 2010; 32 R Chaves (9204_CR29) 2009; 461 M Grana (9204_CR67) 2011; 502 9204_CR13 LK Hansen (9204_CR73) 1999; 9 TM Mitchell (9204_CR120) 2004; 57 9204_CR16 F Martino De (9204_CR43) 2008; 43 J Ashburner (9204_CR3) 2009; 27 E Castro (9204_CR25) 2011; 58 W He (9204_CR76) 2008; 72 SJ Hanson (9204_CR74) 2008; 20 L Lim (9204_CR102) 2013; 8 SC Strother (9204_CR154) 2002; 15 RM Birn (9204_CR7) 2008; 29 S Calderoni (9204_CR15) 2012; 59 Y Fan (9204_CR56) 2006; 26 A Rizk-Jackson (9204_CR140) 2011; 56 S Theodoridis (9204_CR157) 2009 PM Rasmussen (9204_CR138) 2012; 60 D Zhang (9204_CR182) 2011; 55 C-Y Wee (9204_CR172) 2011; 54 9204_CR167 9204_CR87 G Salimi-Khorshidi (9204_CR143) 2009; 45 I Guyon (9204_CR69) 2003; 7 9204_CR88 J Stone (9204_CR152) 2004 F Bunea (9204_CR14) 2011; 55 J Mourao-Miranda (9204_CR123) 2012; 7 E Formisano (9204_CR59) 2008; 26 9204_CR80 U Kjems (9204_CR85) 2002; 15 PG Nester (9204_CR127) 2002; 53 AR Radulescu (9204_CR134) 2009; 174 9204_CR83 S Haller (9204_CR72) 2010; 22 NUF Dosenbach (9204_CR45) 2010; 329 9204_CR175 9204_CR176 VA Kovalev (9204_CR91) 2003; 124 DD Cox (9204_CR38) 2003; 19 S Eickhoff (9204_CR54) 2009; 30 9204_CR171 M Liu (9204_CR104) 2012; 60 S Wold (9204_CR174) 2001; 58 9204_CR117 C Ecker (9204_CR53) 2010; 49 J-D Haynes (9204_CR75) 2005; 8 B Magnin (9204_CR108) 2009; 51 N Kriegeskorte (9204_CR93) 2009; 12 S Ryali (9204_CR141) 2010; 51 TW Hua (9204_CR79) 2009; 42 M Lopez (9204_CR106) 2011; 74 P Tseng (9204_CR163) 2009; 140 HM Bonnici (9204_CR10) 2011; 22 L-L Zeng (9204_CR180) 2012; 135 EB Erhardt (9204_CR55) 2011; 32 A Krishnan (9204_CR95) 2011; 56 S Balci (9204_CR5) 2008; 11 M Brammer (9204_CR11) 2009; 11 SG Costafreda (9204_CR35) 2009; 4 M Misaki (9204_CR118) 2010; 53 S Costafreda (9204_CR36) 2011; 11 I Guyon (9204_CR70) 2001; 46 C Bishop (9204_CR9) 2006 E Duchesnay (9204_CR49) 2007; 26 D Scott (9204_CR147) 1992 AS Greenberg (9204_CR68) 2010; 30 H Zou (9204_CR186) 2005; 67 E Castro (9204_CR26) 2011; 58 EA Allen (9204_CR1) 2011; 5 PK Douglas (9204_CR46) 2011; 56 D Sheskin (9204_CR149) 2004 J Friedman (9204_CR63) 2010; 33 F Martino De (9204_CR42) 2007; 34 N Kriegeskorte (9204_CR94) 2010; 30 AF Marquand (9204_CR111) 2011; 36 PM Rasmussen (9204_CR137) 2011; 55
References_xml	– ident: CR150 – volume: 57 start-page: 918 year: 2011 end-page: 927 ident: CR81 article-title: Diffusion based abnormality markers of pathology: toward learned diagnostic prediction of ASD publication-title: NeuroImage – volume: 29 start-page: 514 year: 2008 end-page: 523 ident: CR41 article-title: Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging publication-title: Neurobiology of Aging – volume: 23 start-page: 2507 issue: 19 year: 2007 end-page: 2517 ident: CR142 article-title: A review of feature selection techniques in bioinformatics publication-title: Bioinformatics – volume: 56 start-page: 651 year: 2011 end-page: 661 ident: CR164 article-title: Predicting subject-driven actions and sensory experience in a virtual world with Relevance Vector Machine Regression of fMRI data publication-title: NeuroImage – volume: 68 start-page: 295 year: 2011 end-page: 305 ident: CR78 article-title: Neuroanatomical differences in toddler boys with fragile x syndrome and idiopathic autism publication-title: Archives Of General Psychiatry – year: 2007 ident: CR101 publication-title: Nonlinear Dimensionality Reduction – ident: CR16 – volume: 23 start-page: 250 year: 2004 end-page: 263 ident: CR114 article-title: Partial least squares analysis of neuroimaging data: applications and advances publication-title: NeuroImage – ident: CR51 – volume: 3 start-page: 65 year: 2005 end-page: 78 ident: CR98 article-title: BrainMap: the social evolution of a functional neuroimaging database publication-title: Neuroinformatics – volume: 56 start-page: 497 year: 2011 end-page: 507 ident: CR100 article-title: Detecting stable distributed patterns of brain activation using Gini contrast publication-title: NeuroImage – volume: 60 start-page: 1106 year: 2012 end-page: 1116 ident: CR104 article-title: Ensemble sparse classification of Alzheimer's disease publication-title: NeuroImage – volume: 26 start-page: 93 year: 2006 end-page: 105 ident: CR56 article-title: COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements publication-title: Medical Imaging, IEEE Transactions – volume: 81 start-page: 347 year: 2013 end-page: 357 ident: CR47 article-title: Multivariate decoding of brain images using ordinal regression publication-title: NeuroImage – ident: CR135 – volume: 5128 start-page: 124 year: 2008 end-page: 132 ident: CR117 article-title: Identification of Atrophy Patterns in Alzheimers Disease Based on SVM Feature Selection and Anatomical Parcellation publication-title: Medical Imaging and Augmented Reality – year: 2002 ident: CR145 publication-title: Learning with Kernels: Support vector machines, regularization, optimization, and beyond – volume: 60 start-page: 59 year: 2012 end-page: 70 ident: CR32 article-title: Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images publication-title: NeuroImage – ident: CR80 – volume: 174 start-page: 184 year: 2009 end-page: 194 ident: CR134 article-title: A principal component network analysis of prefrontal-limbic functional magnetic resonance imaging time series in schizophrenia patients and healthy controls publication-title: Psychiatry Research – volume: 45 start-page: S199 year: 2009 end-page: S209 ident: CR133 article-title: Machine learning classifiers and fMRI: A tutorial overview publication-title: NeuroImage Mathematics in Brain Imaging – volume: 46 start-page: 389 year: 2001 end-page: 422 ident: CR70 article-title: Gene selection for cancer classification using support vector machines publication-title: Machine Learning – volume: 20 start-page: 486 year: 2008 end-page: 503 ident: CR74 article-title: Brain reading using full brain support vector machines for object recognition: there is no "face" identification area publication-title: Neural Computation – volume: 35 start-page: 64 year: 2012 end-page: 71 ident: CR125 article-title: Prediction of illness severity in patients with major depression using structural MR brain scans publication-title: Journal of Magnetic Resonance Imaging – year: 1999 ident: CR166 publication-title: The nature of statistical learning theory-2nd edition – volume: 11 start-page: 389 year: 2009 end-page: 396 ident: CR11 article-title: The role of neuroimaging in diagnosis and personalized medicine–current position and likely future directions publication-title: Dialogues In Clinical Neuroscience – volume: 60 start-page: 1807 year: 2012 end-page: 1818 ident: CR138 article-title: Nonlinear denoising and analysis of neuroimages with kernel principal component analysis and pre-image estimation publication-title: NeuroImage – ident: CR144 – volume: 28 start-page: 980 year: 2005 end-page: 995 ident: CR121 article-title: Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data publication-title: NeuroImage – volume: 51 start-page: 73 year: 2009 end-page: 83 ident: CR108 article-title: Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI publication-title: Neuroradiology – volume: 11 start-page: 805 year: 2000 end-page: 821 ident: CR4 article-title: Voxel-based morphometry-the methods publication-title: NeuroImage – volume: 14 start-page: 140 year: 2001 end-page: 151 ident: CR18 article-title: A method for making group inferences from functional MRI data using independent component analysis publication-title: Human Brain Mapping – volume: 15 start-page: 772 year: 2002 end-page: 786 ident: CR85 article-title: The quantitative evaluation of functional neuroimaging experiments: Mutual information learning curves publication-title: NeuroImage – volume: 11 start-page: 97 year: 2008 end-page: 104 ident: CR5 article-title: Prediction of successful memory encoding from fMRI data publication-title: Med Image Comput Comput Assist Interv – volume: 22 start-page: 315 year: 2010 end-page: 327 ident: CR72 article-title: Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data publication-title: Journal of Alzheimer's disease – volume: 124 start-page: 177 year: 2003 end-page: 189 ident: CR91 article-title: Detection of structural differences between the brains of schizophrenic patients and controls publication-title: Psychiatry Research: Neuroimaging – ident: CR88 – ident: CR132 – volume: 25 start-page: 79 year: 2006 end-page: 90 ident: CR17 article-title: Unmixing fMRI with independent component analysis publication-title: IEEE Engineering In Medicine And Biology Magazine: The Quarterly Magazine Of The Engineering In Medicine & Biology Society – volume: 2 start-page: 75 year: 2011 ident: CR20 article-title: Exploring the psychosis functional connectome: aberrant intrinsic networks in schizophrenia and bipolar disorder publication-title: Frontiers in Psychiatry – volume: 8 start-page: 686 year: 2005 end-page: 691 ident: CR75 article-title: Predicting the orientation of invisible stimuli from activity in human primary visual cortex publication-title: Nature Neuroscience – volume: 57 start-page: 113 year: 2011 end-page: 123 ident: CR37 article-title: Multi-voxel pattern analysis of fMRI data predicts clinical symptom severity publication-title: NeuroImage – volume: 45 start-page: 810 year: 2009 end-page: 823 ident: CR143 article-title: Meta-analysis of neuroimaging data: a comparison of image-based and coordinate-based pooling of studies publication-title: NeuroImage – volume: 26 start-page: 317 year: 2005 ident: CR97 article-title: Support vector machines for temporal classification of block design fMRI data publication-title: NeuroImage – volume: 4 start-page: 140 year: 1996 end-page: 151 ident: CR64 article-title: A multivariate analysis of PET activation studies publication-title: Human Brain Mapping – volume: 135 start-page: 1498 year: 2012 end-page: 1507 ident: CR180 article-title: Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis publication-title: Brain – volume: 42 start-page: 409 year: 2009 end-page: 424 ident: CR79 article-title: Performance of feature-selection methods in the classification of high-dimension data publication-title: Pattern Recognition – volume: 27 start-page: 1163 year: 2009 end-page: 1174 ident: CR3 article-title: Computational anatomy with the SPM software publication-title: Magnetic Resonance Imaging – volume: 58 start-page: 109 year: 2001 end-page: 130 ident: CR174 article-title: PLS-regression: a basic tool of chemometrics publication-title: Chemometrics and Intelligent Laboratory Systems – volume: 50 start-page: 1519 year: 2010 end-page: 1535 ident: CR170 article-title: High-dimensional pattern regression using machine learning: from medical images to continuous clinical variables publication-title: NeuroImage – year: 1992 ident: CR147 publication-title: Multivariate density estimation: Theory, practice and visualization – volume: 36 start-page: 1237 year: 2011 end-page: 1247 ident: CR111 article-title: Pattern classification of working memory networks reveals differential effects of methylphenidate, atomoxetine, and placebo in healthy volunteers publication-title: Neuropsychopharmacology – ident: CR126 – volume: 63 start-page: 1305 year: 2012 end-page: 1312 ident: CR62 article-title: Brain maturation: Predicting individual BrainAGE in children and adolescents using structural MRI publication-title: NeuroImage – volume: 8 start-page: 665 year: 2011 end-page: 670 ident: CR177 article-title: Large-scale automated synthesis of human functional neuroimaging data publication-title: Nature methods – volume: 140 start-page: 513 year: 2009 end-page: 535 ident: CR163 article-title: Block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization publication-title: Journal of optimization theory and applications – volume: 36 start-page: 1140 year: 2012 end-page: 1152 ident: CR131 article-title: Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review publication-title: Neuroscience And Biobehavioral Reviews – volume: 19 start-page: 261 year: 2003 end-page: 270 ident: CR38 article-title: Functional magnetic resonance imaging (fMRI) "brain reading"•: detecting and classifying distributed patterns of fMRI activity in human visual cortex publication-title: NeuroImage – volume: 33 start-page: 1055 year: 2006 end-page: 1065 ident: CR122 article-title: The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data publication-title: NeuroImage – volume: 51 start-page: 752 year: 2010 ident: CR141 article-title: Sparse logistic regression for whole brain classification of fMRI data publication-title: NeuroImage – year: 2009 ident: CR82 publication-title: Diffusion MRI - from quantitative measurements to in-vivo neuroanatomy – volume: 45 start-page: 2033 year: 2012 end-page: 2034 ident: CR165 article-title: Brain decoding: Opportunities and challenges for pattern recognition publication-title: Pattern Recognition Brain Decoding – volume: 12 start-page: 535 year: 2009 end-page: 540 ident: CR93 article-title: Circular analysis in systems neuroscience: the dangers of double dipping publication-title: Nature Neuroscience – volume: 7 start-page: e29482 year: 2012 ident: CR123 article-title: Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents publication-title: Plos One – volume: 135 start-page: 1508 year: 2012 end-page: 1521 ident: CR124 article-title: Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder publication-title: Brain: A Journal of Neurology – volume: 55 start-page: 1519 year: 2011 end-page: 1527 ident: CR14 article-title: Penalized least squares regression methods and applications to neuroimaging publication-title: NeuroImage – volume: 43 start-page: 44 year: 2008 end-page: 58 ident: CR43 article-title: Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns publication-title: NeuroImage – volume: 3 start-page: 143 year: 1996 end-page: 157 ident: CR107 article-title: Spatial pattern analysis of functional brain images using partial least squares publication-title: NeuroImage – ident: CR171 – volume: 8 start-page: 468 year: 2005 end-page: 475 ident: CR183 article-title: Discriminative analysis of brain function at resting-state for attention-deficit/hyperactivity disorder publication-title: Medical Image Computing and Computer-Assisted Intervention: MICCAI International Conference On Medical Image Computing And Computer-Assisted Intervention – volume: 11 start-page: 18 year: 2011 ident: CR36 article-title: Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder publication-title: BMC Psychiatry – volume: 20 start-page: 34 year: 2003 end-page: 49 ident: CR158 article-title: Dynamical components analysis of fMRI data through kernel PCA publication-title: NeuroImage – volume: 103 start-page: 3863 year: 2006 end-page: 3868 ident: CR92 article-title: Information-based functional brain mapping publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 8 start-page: 627 year: 2011 ident: CR119 article-title: From journal articles to computational models: a new automated tool publication-title: Nature methods – volume: 2011 start-page: 376 year: 2011 end-page: 383 ident: CR169 article-title: Hippocampal surface mapping of genetic risk factors in AD via sparse learning models publication-title: Medical Image Computing and Computer-Assisted Intervention, MICCAI – ident: CR6 – volume: 130 start-page: 3223 year: 2007 end-page: 3236 ident: CR116 article-title: Neurocognitive endophenotypes of obsessive-compulsive disorder publication-title: Brain – volume: 1 start-page: 244 issue: 211 year: 2001 ident: CR161 article-title: Sparse Bayesian Learning and the relevance vector machine publication-title: J ournal of Machine Learning Research – volume: 26 start-page: 921 year: 2008 end-page: 934 ident: CR59 article-title: Multivariate analysis of fMRI time series: classification and regression of brain responses using machine learning publication-title: Magnetic Resonance Imaging – volume: 63 start-page: 656 year: 2008 end-page: 662 ident: CR65 article-title: Pattern classification of sad facial processing: toward the development of neurobiological markers in depression publication-title: Biological Psychiatry – year: 1995 ident: CR8 publication-title: Neural networks for pattern recognition – volume: 60 start-page: 1015 year: 2012 end-page: 1024 ident: CR112 article-title: Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: A multi-class pattern recognition approach publication-title: NeuroImage – year: 2009 ident: CR157 publication-title: Pattern Recognition – volume: 30 start-page: 14330 year: 2010 end-page: 14339 ident: CR68 article-title: Control of spatial and feature-based attention in frontoparietal cortex publication-title: The Journal of Neuroscience – volume: 72 start-page: 600 year: 2008 end-page: 611 ident: CR76 article-title: Model optimizing and feature selecting for support vector regression in time series forecasting publication-title: Neurocomputing Machine Learning for Signal Processing (MLSP 2006)/Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007) – volume: 29 start-page: 740 year: 2008 end-page: 750 ident: CR7 article-title: The effect of respiration variations on independent component analysis results of resting state functional connectivity publication-title: Human Brain Mapping – volume: 51 start-page: 1405 year: 2010 end-page: 1413 ident: CR153 article-title: Predicting clinical scores from magnetic resonance scans in Alzheimer's disease publication-title: NeuroImage – ident: CR176 – volume: 49 start-page: 44 year: 2010 end-page: 56 ident: CR53 article-title: Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach publication-title: NeuroImage – volume: 21 start-page: 1104 year: 2005 end-page: 1111 ident: CR60 article-title: Classification using partial least squares with penalized logistic regression publication-title: Bioinformatics – volume: 15 start-page: 1517 year: 2004 end-page: 1525 ident: CR96 article-title: The pre-image problem in kernel methods publication-title: Neural Networks, IEEE Transactions – volume: 37 start-page: 1148 year: 2007 end-page: 1160 ident: CR105 article-title: Using non-negative matrix factorization for single-trial analysis of fMRI data publication-title: NeuroImage – volume: 63 start-page: 63 issue: 1 year: 2012 end-page: 72 ident: CR156 article-title: Automatic sleep staging using fMRI functional connectivity data publication-title: Neuroimage – ident: CR139 – volume: 73 start-page: 8 year: 2012 end-page: 22 ident: CR103 article-title: The challenges and promise of neuroimaging in psychiatry publication-title: Neuron – year: 2006 ident: CR9 publication-title: Pattern recongition and machine learning – volume: 2 start-page: 150 year: 2007 end-page: 158 ident: CR168 article-title: Meta-analysis of functional neuroimaging data: current and future directions publication-title: Social Cognitive and Affective Neuroscience – ident: CR159 – volume: 34 start-page: 1405 year: 2007 end-page: 1415 ident: CR178 article-title: Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia publication-title: NeuroImage – volume: 50 start-page: 883 year: 2010 end-page: 892 ident: CR61 article-title: Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters publication-title: NeuroImage – volume: 49 start-page: 2178 year: 2010 end-page: 2189 ident: CR110 article-title: Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes publication-title: NeuroImage – volume: 25 start-page: 684 year: 2007 end-page: 694 ident: CR34 article-title: Performance of blind source separation algorithms for fMRI analysis using a group ICA method publication-title: Magnetic Resonance Imaging – ident: CR83 – volume: 15 start-page: 747 year: 2002 end-page: 771 ident: CR154 article-title: The quantitative evaluation of functional neuroimaging experiments: The NPAIRS data analysis framework publication-title: NeuroImage – volume: 63 start-page: 936 issue: 2 year: 2012 end-page: 946 ident: CR162 article-title: Resting state FDG-PET functional connectivity as an early biomarker of Alzheimer's disease using conjoint univariate and independent component analyses publication-title: NeuroImage – volume: 34 start-page: 177 year: 2007 end-page: 194 ident: CR42 article-title: Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers publication-title: NeuroImage – volume: 22 start-page: 1693 issue: 18 year: 2012 end-page: 1698 ident: CR13 article-title: Neuroanatomical assessment of biological maturity publication-title: Current Biology – volume: 67 start-page: 301 year: 2005 end-page: 320 ident: CR186 article-title: Regularization and variable selection via the elastic net publication-title: Journal of the Royal Statistical Society: Series B (Statistical Methodology) – volume: 33 start-page: 1 year: 2010 ident: CR63 article-title: Regularization paths for generalized linear models via coordinate descent publication-title: Journal of Statistical Software – ident: CR87 – volume: 32 start-page: 2075 year: 2011 end-page: 2095 ident: CR55 article-title: Comparison of multi-subject ICA methods for analysis of fMRI data publication-title: Human Brain Mapping – volume: 56 start-page: 544 year: 2011 end-page: 553 ident: CR46 article-title: Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief publication-title: NeuroImage – volume: 6 start-page: 74 year: 2012 ident: CR151 article-title: Kernel principal component analysis for dimensionality reduction in fMRI-based diagnosis of ADHD publication-title: Frontiers in Systems Neuroscience – volume: 7509 start-page: 1 year: 2012 end-page: 17 ident: CR175 article-title: Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning publication-title: Multimodal Brain Image Analysis – volume: 25 start-page: 6 year: 2005 end-page: 21 ident: CR99 article-title: A comparison of label-based review and ALE meta-analysis in the Stroop task publication-title: Human Brain Mapping – ident: CR58 – volume: 54 start-page: 1812 year: 2011 end-page: 1822 ident: CR172 article-title: Enriched white matter connectivity networks for accurate identification of MCI patients publication-title: NeuroImage – volume: 20 start-page: 544 year: 2010 end-page: 547 ident: CR27 article-title: Decoding individual episodic memory traces in the human hippocampus publication-title: Current Biology – volume: 62 start-page: 1619 year: 2009 end-page: 1628 ident: CR39 article-title: Disease state prediction from resting state functional connectivity publication-title: Magnetic Resonance In Medicine: Official Journal Of The Society Of Magnetic Resonance In Medicine/Society Of Magnetic Resonance In Medicine – volume: 56 start-page: 455 year: 2011 end-page: 475 ident: CR95 article-title: Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review publication-title: NeuroImage – volume: 204 start-page: 68 year: 2012 end-page: 81 ident: CR155 article-title: A review of multivariate methods for multimodal fusion of brain imaging data publication-title: Journal of Neuroscience Methods – volume: 4 start-page: e6353 year: 2009 ident: CR35 article-title: Prognostic and diagnostic potential of the structural neuroanatomy of depression publication-title: Plos One – volume: 30 start-page: 1551 year: 2010 end-page: 1557 ident: CR94 article-title: Everything you never wanted to know about circular analysis, but were afraid to ask publication-title: Journal of Cerebral Blood Flow & Metabolism – volume: 64 start-page: 499 year: 2013 end-page: 525 ident: CR115 article-title: Multivariate statistical analyses for neuroimaging data publication-title: Annual Review of Psychology – volume: 53 start-page: 103 year: 2010 end-page: 118 ident: CR118 article-title: Comparison of multivariate classifiers and response normalizations for pattern-information fMRI publication-title: NeuroImage – volume: 74 start-page: 1260 year: 2011 end-page: 1271 ident: CR106 article-title: Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease publication-title: Neurocomputing – volume: 22 start-page: 1143 year: 2011 end-page: 1153 ident: CR10 article-title: Decoding representations of scenes in the medial temporal lobes publication-title: Hippocampus – volume: 58 start-page: 526 year: 2011 end-page: 536 ident: CR25 article-title: Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia publication-title: NeuroImage – volume: 82 start-page: 284 year: 2013 end-page: 294 ident: CR185 article-title: Partial least squares correlation of multivariate cognitive abilities and local brain structure in children and adolescents publication-title: NeuroImage – ident: CR136 – volume: 45 start-page: 322 year: 2011 end-page: 331 ident: CR66 article-title: Developmental changes in multivariate neuroanatomical patterns that predict risk for psychosis in 22q11.2 deletion syndrome publication-title: Journal Of Psychiatric Research – volume: 58 start-page: 526 year: 2011 end-page: 536 ident: CR26 article-title: Characterization of groups using composite kernels and multi-source fMRI analysis data: application to schizophrenia publication-title: NeuroImage – volume: 502 start-page: 225 year: 2011 end-page: 229 ident: CR67 article-title: Computer aided diagnosis system for Alzheimer disease using brain diffusion tensor imaging features selected by pearson's correlation publication-title: Neuroscience Letters – volume: 45 start-page: S163 year: 2009 end-page: S172 ident: CR19 article-title: A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data publication-title: NeuroImage – volume: 57 start-page: 145 year: 2004 end-page: 175 ident: CR120 article-title: Learning to decode cognitive states from brain images publication-title: Machine Learning – volume: 59 start-page: 2187 year: 2012 end-page: 2195 ident: CR40 article-title: Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3) publication-title: NeuroImage – volume: 461 start-page: 293 year: 2009 end-page: 297 ident: CR29 article-title: SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting publication-title: Neuroscience Letters – year: 2002 ident: CR84 publication-title: Principle component analysis – volume: 64 start-page: 1035 issue: 12 year: 2008 end-page: 1041 ident: CR179 article-title: Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data Reveals Deficits in Distributed Representations in Schizophrenia publication-title: Biological Psychiatry – volume: 97 start-page: 1 year: 1997 end-page: 2 ident: CR89 article-title: Wrappers for feature subset selection publication-title: Artificial Intelligence – volume: 57 start-page: 1003 year: 2011 end-page: 1014 ident: CR50 article-title: Feature selection and classification of imbalanced datasets: Application to PET images of children with autistic spectrum disorders publication-title: NeuroImage – volume: 44 start-page: 112 year: 2009 end-page: 122 ident: CR22 article-title: Prediction and interpretation of distributed neural activity with sparse models publication-title: NeuroImage – year: 1998 ident: CR33 publication-title: Statistical power analysis for the behavioural sciences- 2nd edition – volume: 329 start-page: 1358 year: 2010 end-page: 1361 ident: CR45 article-title: Prediction of individual brain maturity using fMRI publication-title: Science – volume: 47 start-page: 602 year: 2009 end-page: 610 ident: CR30 article-title: Linking functional and structural brain images with multivariate network analyses: A novel application of the partial least square method publication-title: NeuroImage – volume: 212 start-page: 230 issue: 3 year: 2012 end-page: 236 ident: CR52 article-title: Meta-analysis based SVM classification enables accurate detection of Alzheimer's disease across different clinical centers using FDG-PET and MRI publication-title: Psychiatry Research: Neuroimaging – volume: 7 start-page: 1157 issue: 8 year: 2003 end-page: 1182 ident: CR69 article-title: An introduction to variable and feature selection publication-title: Journal of Machine Learning – volume: 22 start-page: 1023 year: 2004 end-page: 34 ident: CR113 article-title: EEG/fMRI analysis by multiway partial least squares publication-title: NeuroImage – volume: 2010 start-page: 542 year: 2010 end-page: 546 ident: CR128 article-title: Automatic prediction of conversion from mild cognitive impairment to probable alzheimer's disease using structural magnetic resonance imaging publication-title: AMIA Annual Symposium Proceedings/AMIA Symposium AMIA Symposium – year: 2004 ident: CR149 publication-title: Handbook of parametric and nonparametric statistical procedures – volume: 53 start-page: 57 year: 2002 end-page: 66 ident: CR127 article-title: A new statistical method for testing hypotheses of neuropsychological/MRI relationships in schizophrenia: partial least squares analysis publication-title: Schizophrenia Research – volume: 257 start-page: 764 year: 2010 end-page: 773 ident: CR71 article-title: Cerebral microhemorrhage and iron deposition in mild cognitive impairment: susceptibility-weighted MR imaging assessment publication-title: Radiology – volume: 36 start-page: 1189 year: 2007 end-page: 1199 ident: CR57 article-title: Multivariate examination of brain abnormality using both structural and functional MRI publication-title: NeuroImage – volume: 55 start-page: 856 year: 2011 end-page: 867 ident: CR181 article-title: Multimodal classification of Alzheimer's disease and mild cognitive impairment publication-title: NeuroImage – volume: 38 start-page: 95 year: 2007 end-page: 113 ident: CR2 article-title: A fast diffeomorphic image registration algorithm publication-title: NeuroImage – volume: 3 start-page: 32 year: 2009 ident: CR12 article-title: Applications of multivariate pattern classification analyses in developmental neuroimaging of healthy and clinical populations publication-title: Frontiers In Human Neuroscience – volume: 30 start-page: 2907 year: 2009 end-page: 2926 ident: CR54 article-title: Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty publication-title: Human Brain Mapping – volume: 59 start-page: 2045 year: 2012 end-page: 2056 ident: CR173 article-title: Identification of MCI individuals using structural and functional connectivity networks publication-title: NeuroImage – ident: CR146 – ident: CR23 – volume: 42 start-page: 675 year: 2008 end-page: 682 ident: CR21 article-title: Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements publication-title: NeuroImage – year: 2004 ident: CR152 publication-title: Independent component analysis – volume: 5 start-page: 2 year: 2011 ident: CR1 article-title: A baseline for the multivariate comparison of resting-state networks publication-title: Frontiers in systems neuroscience – volume: 48 start-page: 138 year: 2009 end-page: 149 ident: CR77 article-title: Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset publication-title: NeuroImage – ident: CR48 – volume: 73 start-page: 273 year: 2011 end-page: 282 ident: CR160 article-title: Regression shrinkage and selection via the lasso: a retrospective publication-title: Journal of the Royal Statistical Society: Series B (Statistical Methodology) – volume: 6 start-page: 1 year: 2012 ident: CR24 article-title: Combining graph and machine learning methods to analyze differences in functional connectivity across sex publication-title: The Open Neuroimaging Journal – volume: 40 start-page: 110 year: 2008 end-page: 120 ident: CR184 article-title: Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder publication-title: NeuroImage – volume: 10 start-page: 424 year: 2006 end-page: 430 ident: CR129 article-title: Beyond mind-reading: multi-voxel pattern analysis of fMRI data publication-title: Trends in Cognitive Sciences – ident: CR130 – volume: 8 start-page: e63660 year: 2013 ident: CR102 article-title: Disorder-specific predictive classification of adolescents with Attention Deficit Hyperactivity Disorder (ADHD) relative to autism using structural magnetic resonance imaging publication-title: PLOS ONE – volume: 26 start-page: 553 year: 2007 end-page: 565 ident: CR49 article-title: Classification based on cortical folding patterns publication-title: Medical Imaging, IEEE Transactions – volume: 9 start-page: 534 year: 1999 end-page: 544 ident: CR73 article-title: Generalizable patterns in neuroimaging: How many principal components? publication-title: NeuroImage – volume: 66 start-page: 700 year: 2009 end-page: 712 ident: CR90 article-title: Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition publication-title: Archives of General Psychiatry – volume: 49 start-page: 2178 year: 2010 end-page: 2189 ident: CR109 article-title: Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes publication-title: NeuroImage – ident: CR31 – volume: 56 start-page: 788 year: 2011 end-page: 796 ident: CR140 article-title: Evaluating imaging biomarkers for neurodegeneration in pre-symptomatic Huntington's disease using machine learning techniques publication-title: NeuroImage – volume: 131 start-page: 681 year: 2008 end-page: 689 ident: CR86 article-title: Automatic classification of MR scans in Alzheimer's disease publication-title: Brain: A Journal of Neurology – volume: 60 start-page: 700 issue: 1 year: 2011 end-page: 716 ident: CR167 article-title: Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease publication-title: Neuroimage – volume: 5 start-page: e14277 year: 2010 ident: CR44 article-title: Recursive cluster elimination based support vector machine for disease state prediction using resting state functional and effective brain connectivity publication-title: Plos One – volume: 55 start-page: 856 year: 2011 end-page: 867 ident: CR182 article-title: Multimodal classification of Alzheimer's disease and mild cognitive impairment publication-title: NeuroImage – volume: 59 start-page: 1013 year: 2012 end-page: 1022 ident: CR15 article-title: Female children with autism spectrum disorder: An insight from mass-univariate and pattern classification analyses publication-title: NeuroImage – volume: 7012 start-page: 27 year: 2011 end-page: 34 ident: CR148 article-title: Identifying neuroimaging and proteomic biomarkers for MCI and AD via the elastic net publication-title: Multimodal Brain Image Analysis – volume: 55 start-page: 1120 year: 2011 end-page: 1131 ident: CR137 article-title: Visualization of nonlinear kernel models in neuroimaging by sensitivity maps publication-title: NeuroImage – volume: 32 start-page: 24 year: 2010 end-page: 34 ident: CR28 article-title: Quantitative analysis in clinical applications of brain MRI using independent component analysis coupled with support vector machine publication-title: Journal Of Magnetic Resonance Imaging: JMRI – volume: 11 start-page: 97 year: 2008 ident: 9204_CR5 publication-title: Med Image Comput Comput Assist Interv – volume: 2 start-page: 75 year: 2011 ident: 9204_CR20 publication-title: Frontiers in Psychiatry – volume: 26 start-page: 317 year: 2005 ident: 9204_CR97 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2005.01.048 – volume: 6 start-page: 74 year: 2012 ident: 9204_CR151 publication-title: Frontiers in Systems Neuroscience doi: 10.3389/fnsys.2012.00074 – ident: 9204_CR156 doi: 10.1016/j.neuroimage.2012.06.036 – ident: 9204_CR167 – ident: 9204_CR150 – volume: 60 start-page: 1015 year: 2012 ident: 9204_CR112 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2012.01.058 – volume: 58 start-page: 526 year: 2011 ident: 9204_CR25 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.06.044 – volume: 15 start-page: 772 year: 2002 ident: 9204_CR85 publication-title: NeuroImage doi: 10.1006/nimg.2001.1033 – volume: 51 start-page: 752 year: 2010 ident: 9204_CR141 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.02.040 – volume: 4 start-page: 140 year: 1996 ident: 9204_CR64 publication-title: Human Brain Mapping doi: 10.1002/(SICI)1097-0193(1996)4:2<140::AID-HBM5>3.0.CO;2-3 – volume: 37 start-page: 1148 year: 2007 ident: 9204_CR105 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.05.031 – volume: 9 start-page: 534 year: 1999 ident: 9204_CR73 publication-title: NeuroImage doi: 10.1006/nimg.1998.0425 – ident: 9204_CR146 doi: 10.1007/s12021-013-9178-1 – volume: 66 start-page: 700 year: 2009 ident: 9204_CR90 publication-title: Archives of General Psychiatry doi: 10.1001/archgenpsychiatry.2009.62 – ident: 9204_CR117 doi: 10.1007/978-3-540-79982-5_14 – volume: 46 start-page: 389 year: 2001 ident: 9204_CR70 publication-title: Machine Learning doi: 10.1023/A:1012487302797 – volume: 36 start-page: 1140 year: 2012 ident: 9204_CR131 publication-title: Neuroscience And Biobehavioral Reviews doi: 10.1016/j.neubiorev.2012.01.004 – volume: 26 start-page: 921 year: 2008 ident: 9204_CR59 publication-title: Magnetic Resonance Imaging doi: 10.1016/j.mri.2008.01.052 – volume: 38 start-page: 95 year: 2007 ident: 9204_CR2 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.07.007 – volume: 74 start-page: 1260 year: 2011 ident: 9204_CR106 publication-title: Neurocomputing doi: 10.1016/j.neucom.2010.06.025 – volume: 174 start-page: 184 year: 2009 ident: 9204_CR134 publication-title: Psychiatry Research doi: 10.1016/j.pscychresns.2009.04.017 – volume: 15 start-page: 747 year: 2002 ident: 9204_CR154 publication-title: NeuroImage doi: 10.1006/nimg.2001.1034 – ident: 9204_CR48 – volume: 50 start-page: 883 year: 2010 ident: 9204_CR61 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.01.005 – volume: 45 start-page: 2033 year: 2012 ident: 9204_CR165 publication-title: Pattern Recognition Brain Decoding doi: 10.1016/j.patcog.2011.06.001 – ident: 9204_CR23 – volume: 7 start-page: 1157 issue: 8 year: 2003 ident: 9204_CR69 publication-title: Journal of Machine Learning – volume: 5 start-page: e14277 year: 2010 ident: 9204_CR44 publication-title: Plos One doi: 10.1371/journal.pone.0014277 – volume: 73 start-page: 8 year: 2012 ident: 9204_CR103 publication-title: Neuron doi: 10.1016/j.neuron.2011.12.014 – volume: 29 start-page: 740 year: 2008 ident: 9204_CR7 publication-title: Human Brain Mapping doi: 10.1002/hbm.20577 – volume: 204 start-page: 68 year: 2012 ident: 9204_CR155 publication-title: Journal of Neuroscience Methods doi: 10.1016/j.jneumeth.2011.10.031 – volume-title: Principle component analysis year: 2002 ident: 9204_CR84 – volume: 34 start-page: 1405 year: 2007 ident: 9204_CR178 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2006.11.021 – volume: 58 start-page: 109 year: 2001 ident: 9204_CR174 publication-title: Chemometrics and Intelligent Laboratory Systems doi: 10.1016/S0169-7439(01)00155-1 – volume-title: Statistical power analysis for the behavioural sciences- 2nd edition year: 1998 ident: 9204_CR33 – volume: 72 start-page: 600 year: 2008 ident: 9204_CR76 publication-title: Neurocomputing Machine Learning for Signal Processing (MLSP 2006)/Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007) – ident: 9204_CR135 – volume: 14 start-page: 140 year: 2001 ident: 9204_CR18 publication-title: Human Brain Mapping doi: 10.1002/hbm.1048 – volume: 26 start-page: 93 year: 2006 ident: 9204_CR56 publication-title: Medical Imaging, IEEE Transactions doi: 10.1109/TMI.2006.886812 – volume: 2010 start-page: 542 year: 2010 ident: 9204_CR128 publication-title: AMIA Annual Symposium Proceedings/AMIA Symposium AMIA Symposium – ident: 9204_CR51 doi: 10.1016/j.neuroimage.2011.12.053 – ident: 9204_CR130 – volume: 5 start-page: 2 year: 2011 ident: 9204_CR1 publication-title: Frontiers in systems neuroscience – volume: 45 start-page: S163 year: 2009 ident: 9204_CR19 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.10.057 – volume-title: Pattern recongition and machine learning year: 2006 ident: 9204_CR9 – ident: 9204_CR159 doi: 10.1111/j.2517-6161.1996.tb02080.x – volume: 30 start-page: 14330 year: 2010 ident: 9204_CR68 publication-title: The Journal of Neuroscience doi: 10.1523/JNEUROSCI.4248-09.2010 – ident: 9204_CR142 doi: 10.1093/bioinformatics/btm344 – volume: 22 start-page: 1023 year: 2004 ident: 9204_CR113 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2004.03.038 – volume: 56 start-page: 788 year: 2011 ident: 9204_CR140 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.04.273 – ident: 9204_CR139 doi: 10.1007/978-3-642-15314-3_20 – volume: 97 start-page: 1 year: 1997 ident: 9204_CR89 publication-title: Artificial Intelligence doi: 10.1016/S0004-3702(97)00043-X – volume: 55 start-page: 1120 year: 2011 ident: 9204_CR137 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.12.035 – volume: 6 start-page: 1 year: 2012 ident: 9204_CR24 publication-title: The Open Neuroimaging Journal doi: 10.2174/1874440001206010001 – ident: 9204_CR87 doi: 10.1109/ISBI.2012.6235766 – volume: 51 start-page: 1405 year: 2010 ident: 9204_CR153 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.03.051 – volume: 23 start-page: 250 year: 2004 ident: 9204_CR114 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2004.07.020 – ident: 9204_CR171 – volume: 57 start-page: 918 year: 2011 ident: 9204_CR81 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.05.023 – volume: 502 start-page: 225 year: 2011 ident: 9204_CR67 publication-title: Neuroscience Letters doi: 10.1016/j.neulet.2011.07.049 – volume: 26 start-page: 553 year: 2007 ident: 9204_CR49 publication-title: Medical Imaging, IEEE Transactions doi: 10.1109/TMI.2007.892501 – volume: 64 start-page: 499 year: 2013 ident: 9204_CR115 publication-title: Annual Review of Psychology doi: 10.1146/annurev-psych-113011-143804 – volume: 57 start-page: 145 year: 2004 ident: 9204_CR120 publication-title: Machine Learning doi: 10.1023/B:MACH.0000035475.85309.1b – volume: 55 start-page: 1519 year: 2011 ident: 9204_CR14 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.12.028 – ident: 9204_CR16 – volume: 8 start-page: 686 year: 2005 ident: 9204_CR75 publication-title: Nature Neuroscience doi: 10.1038/nn1445 – volume: 8 start-page: 627 year: 2011 ident: 9204_CR119 publication-title: Nature methods doi: 10.1038/nmeth.1661 – volume: 57 start-page: 1003 year: 2011 ident: 9204_CR50 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.05.011 – volume: 33 start-page: 1055 year: 2006 ident: 9204_CR122 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2006.08.016 – volume: 60 start-page: 1106 year: 2012 ident: 9204_CR104 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2012.01.055 – volume: 3 start-page: 143 year: 1996 ident: 9204_CR107 publication-title: NeuroImage doi: 10.1006/nimg.1996.0016 – volume: 22 start-page: 1143 year: 2011 ident: 9204_CR10 publication-title: Hippocampus doi: 10.1002/hipo.20960 – volume: 56 start-page: 544 year: 2011 ident: 9204_CR46 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.11.002 – volume: 67 start-page: 301 year: 2005 ident: 9204_CR186 publication-title: Journal of the Royal Statistical Society: Series B (Statistical Methodology) doi: 10.1111/j.1467-9868.2005.00503.x – volume: 4 start-page: e6353 year: 2009 ident: 9204_CR35 publication-title: Plos One doi: 10.1371/journal.pone.0006353 – volume: 59 start-page: 2045 year: 2012 ident: 9204_CR173 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.10.015 – volume: 51 start-page: 73 year: 2009 ident: 9204_CR108 publication-title: Neuroradiology doi: 10.1007/s00234-008-0463-x – volume: 59 start-page: 1013 year: 2012 ident: 9204_CR15 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.08.070 – volume: 44 start-page: 112 year: 2009 ident: 9204_CR22 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.08.020 – volume: 63 start-page: 1305 year: 2012 ident: 9204_CR62 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2012.08.001 – volume: 130 start-page: 3223 year: 2007 ident: 9204_CR116 publication-title: Brain doi: 10.1093/brain/awm205 – volume: 1 start-page: 244 issue: 211 year: 2001 ident: 9204_CR161 publication-title: J ournal of Machine Learning Research – ident: 9204_CR144 doi: 10.3389/fnsys.2012.00068 – ident: 9204_CR80 – volume: 25 start-page: 684 year: 2007 ident: 9204_CR34 publication-title: Magnetic Resonance Imaging doi: 10.1016/j.mri.2006.10.017 – volume-title: Nonlinear Dimensionality Reduction year: 2007 ident: 9204_CR101 doi: 10.1007/978-0-387-39351-3 – volume: 49 start-page: 2178 year: 2010 ident: 9204_CR110 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.10.072 – volume: 34 start-page: 177 year: 2007 ident: 9204_CR42 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2006.08.041 – volume-title: Multivariate density estimation: Theory, practice and visualization year: 1992 ident: 9204_CR147 doi: 10.1002/9780470316849 – ident: 9204_CR126 doi: 10.1016/j.neuroimage.2013.02.055 – volume: 47 start-page: 602 year: 2009 ident: 9204_CR30 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.04.053 – volume: 21 start-page: 1104 year: 2005 ident: 9204_CR60 publication-title: Bioinformatics doi: 10.1093/bioinformatics/bti114 – ident: 9204_CR132 – ident: 9204_CR162 doi: 10.1016/j.neuroimage.2012.03.091 – volume: 62 start-page: 1619 year: 2009 ident: 9204_CR39 publication-title: Magnetic Resonance In Medicine: Official Journal Of The Society Of Magnetic Resonance In Medicine/Society Of Magnetic Resonance In Medicine doi: 10.1002/mrm.22159 – volume: 56 start-page: 455 year: 2011 ident: 9204_CR95 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.07.034 – volume: 49 start-page: 2178 year: 2010 ident: 9204_CR109 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.10.072 – ident: 9204_CR31 doi: 10.3389/fnsys.2012.00058 – volume: 29 start-page: 514 year: 2008 ident: 9204_CR41 publication-title: Neurobiology of Aging doi: 10.1016/j.neurobiolaging.2006.11.010 – volume: 329 start-page: 1358 year: 2010 ident: 9204_CR45 publication-title: Science doi: 10.1126/science.1194144 – volume: 63 start-page: 656 year: 2008 ident: 9204_CR65 publication-title: Biological Psychiatry doi: 10.1016/j.biopsych.2007.08.020 – ident: 9204_CR83 – ident: 9204_CR52 doi: 10.1016/j.pscychresns.2012.04.007 – volume: 10 start-page: 424 year: 2006 ident: 9204_CR129 publication-title: Trends in Cognitive Sciences doi: 10.1016/j.tics.2006.07.005 – volume-title: Independent component analysis year: 2004 ident: 9204_CR152 doi: 10.7551/mitpress/3717.001.0001 – volume-title: Pattern Recognition year: 2009 ident: 9204_CR157 – volume: 8 start-page: 468 year: 2005 ident: 9204_CR183 publication-title: Medical Image Computing and Computer-Assisted Intervention: MICCAI International Conference On Medical Image Computing And Computer-Assisted Intervention – volume: 82 start-page: 284 year: 2013 ident: 9204_CR185 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2013.05.088 – volume: 2 start-page: 150 year: 2007 ident: 9204_CR168 publication-title: Social Cognitive and Affective Neuroscience doi: 10.1093/scan/nsm015 – volume: 53 start-page: 103 year: 2010 ident: 9204_CR118 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.05.051 – volume: 56 start-page: 651 year: 2011 ident: 9204_CR164 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.09.062 – volume: 257 start-page: 764 year: 2010 ident: 9204_CR71 publication-title: Radiology doi: 10.1148/radiol.10100612 – volume: 45 start-page: 810 year: 2009 ident: 9204_CR143 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.12.039 – volume: 50 start-page: 1519 year: 2010 ident: 9204_CR170 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.12.092 – volume: 8 start-page: 665 year: 2011 ident: 9204_CR177 publication-title: Nature methods doi: 10.1038/nmeth.1635 – volume: 42 start-page: 409 year: 2009 ident: 9204_CR79 publication-title: Pattern Recognition doi: 10.1016/j.patcog.2008.08.001 – volume: 20 start-page: 34 year: 2003 ident: 9204_CR158 publication-title: NeuroImage doi: 10.1016/S1053-8119(03)00316-1 – volume: 53 start-page: 57 year: 2002 ident: 9204_CR127 publication-title: Schizophrenia Research doi: 10.1016/S0920-9964(00)00171-7 – volume-title: Neural networks for pattern recognition year: 1995 ident: 9204_CR8 doi: 10.1093/oso/9780198538493.001.0001 – volume: 27 start-page: 1163 year: 2009 ident: 9204_CR3 publication-title: Magnetic Resonance Imaging doi: 10.1016/j.mri.2009.01.006 – volume: 30 start-page: 2907 year: 2009 ident: 9204_CR54 publication-title: Human Brain Mapping doi: 10.1002/hbm.20718 – volume: 7 start-page: e29482 year: 2012 ident: 9204_CR123 publication-title: Plos One doi: 10.1371/journal.pone.0029482 – volume: 32 start-page: 24 year: 2010 ident: 9204_CR28 publication-title: Journal Of Magnetic Resonance Imaging: JMRI doi: 10.1002/jmri.22210 – ident: 9204_CR148 doi: 10.1007/978-3-642-24446-9_4 – volume: 45 start-page: S199 year: 2009 ident: 9204_CR133 publication-title: NeuroImage Mathematics in Brain Imaging – volume: 461 start-page: 293 year: 2009 ident: 9204_CR29 publication-title: Neuroscience Letters doi: 10.1016/j.neulet.2009.06.052 – volume: 25 start-page: 6 year: 2005 ident: 9204_CR99 publication-title: Human Brain Mapping doi: 10.1002/hbm.20129 – volume: 3 start-page: 32 year: 2009 ident: 9204_CR12 publication-title: Frontiers In Human Neuroscience doi: 10.3389/neuro.09.032.2009 – ident: 9204_CR176 doi: 10.3389/fnhum.2010.00192 – volume: 124 start-page: 177 year: 2003 ident: 9204_CR91 publication-title: Psychiatry Research: Neuroimaging doi: 10.1016/S0925-4927(03)00070-2 – volume: 36 start-page: 1189 year: 2007 ident: 9204_CR57 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.04.009 – volume: 43 start-page: 44 year: 2008 ident: 9204_CR43 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.06.037 – volume: 140 start-page: 513 year: 2009 ident: 9204_CR163 publication-title: Journal of optimization theory and applications doi: 10.1007/s10957-008-9458-3 – volume: 103 start-page: 3863 year: 2006 ident: 9204_CR92 publication-title: Proceedings of the National Academy of Sciences of the United States of America doi: 10.1073/pnas.0600244103 – volume: 57 start-page: 113 year: 2011 ident: 9204_CR37 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.04.016 – ident: 9204_CR136 doi: 10.7551/mitpress/3206.001.0001 – volume: 20 start-page: 544 year: 2010 ident: 9204_CR27 publication-title: Current Biology doi: 10.1016/j.cub.2010.01.053 – volume: 135 start-page: 1498 year: 2012 ident: 9204_CR180 publication-title: Brain doi: 10.1093/brain/aws059 – ident: 9204_CR58 – volume: 32 start-page: 2075 year: 2011 ident: 9204_CR55 publication-title: Human Brain Mapping doi: 10.1002/hbm.21170 – volume: 135 start-page: 1508 year: 2012 ident: 9204_CR124 publication-title: Brain: A Journal of Neurology doi: 10.1093/brain/aws084 – volume: 59 start-page: 2187 year: 2012 ident: 9204_CR40 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.10.003 – volume: 33 start-page: 1 year: 2010 ident: 9204_CR63 publication-title: Journal of Statistical Software doi: 10.18637/jss.v033.i01 – ident: 9204_CR88 doi: 10.3389/fnins.2012.00115 – volume: 40 start-page: 110 year: 2008 ident: 9204_CR184 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.11.029 – volume: 73 start-page: 273 year: 2011 ident: 9204_CR160 publication-title: Journal of the Royal Statistical Society: Series B (Statistical Methodology) doi: 10.1111/j.1467-9868.2011.00771.x – volume: 20 start-page: 486 year: 2008 ident: 9204_CR74 publication-title: Neural Computation doi: 10.1162/neco.2007.09-06-340 – volume: 60 start-page: 1807 year: 2012 ident: 9204_CR138 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2012.01.096 – volume: 131 start-page: 681 year: 2008 ident: 9204_CR86 publication-title: Brain: A Journal of Neurology doi: 10.1093/brain/awm319 – volume: 19 start-page: 261 year: 2003 ident: 9204_CR38 publication-title: NeuroImage doi: 10.1016/S1053-8119(03)00049-1 – volume-title: Handbook of parametric and nonparametric statistical procedures year: 2004 ident: 9204_CR149 doi: 10.4324/9780203489536 – volume: 11 start-page: 18 year: 2011 ident: 9204_CR36 publication-title: BMC Psychiatry doi: 10.1186/1471-244X-11-18 – ident: 9204_CR175 doi: 10.1007/978-3-642-33530-3_1 – volume: 8 start-page: e63660 year: 2013 ident: 9204_CR102 publication-title: PLOS ONE doi: 10.1371/journal.pone.0063660 – volume-title: Diffusion MRI - from quantitative measurements to in-vivo neuroanatomy year: 2009 ident: 9204_CR82 – volume: 35 start-page: 64 year: 2012 ident: 9204_CR125 publication-title: Journal of Magnetic Resonance Imaging doi: 10.1002/jmri.22806 – ident: 9204_CR179 doi: 10.1016/j.biopsych.2008.07.025 – volume: 15 start-page: 1517 year: 2004 ident: 9204_CR96 publication-title: Neural Networks, IEEE Transactions doi: 10.1109/TNN.2004.837781 – volume: 45 start-page: 322 year: 2011 ident: 9204_CR66 publication-title: Journal Of Psychiatric Research doi: 10.1016/j.jpsychires.2010.07.008 – volume: 56 start-page: 497 year: 2011 ident: 9204_CR100 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.07.074 – volume: 48 start-page: 138 year: 2009 ident: 9204_CR77 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.05.056 – volume: 11 start-page: 805 year: 2000 ident: 9204_CR4 publication-title: NeuroImage doi: 10.1006/nimg.2000.0582 – volume: 36 start-page: 1237 year: 2011 ident: 9204_CR111 publication-title: Neuropsychopharmacology doi: 10.1038/npp.2011.9 – volume-title: The nature of statistical learning theory-2nd edition year: 1999 ident: 9204_CR166 – volume: 2011 start-page: 376 year: 2011 ident: 9204_CR169 publication-title: Medical Image Computing and Computer-Assisted Intervention, MICCAI – volume: 22 start-page: 315 year: 2010 ident: 9204_CR72 publication-title: Journal of Alzheimer's disease doi: 10.3233/JAD-2010-100840 – volume: 60 start-page: 59 year: 2012 ident: 9204_CR32 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.11.066 – volume: 54 start-page: 1812 year: 2011 ident: 9204_CR172 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.10.026 – volume: 81 start-page: 347 year: 2013 ident: 9204_CR47 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2013.05.036 – volume: 25 start-page: 79 year: 2006 ident: 9204_CR17 publication-title: IEEE Engineering In Medicine And Biology Magazine: The Quarterly Magazine Of The Engineering In Medicine & Biology Society doi: 10.1109/MEMB.2006.1607672 – volume: 30 start-page: 1551 year: 2010 ident: 9204_CR94 publication-title: Journal of Cerebral Blood Flow & Metabolism doi: 10.1038/jcbfm.2010.86 – volume: 55 start-page: 856 year: 2011 ident: 9204_CR182 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.01.008 – volume: 11 start-page: 389 year: 2009 ident: 9204_CR11 publication-title: Dialogues In Clinical Neuroscience doi: 10.31887/DCNS.2009.11.4/mbrammer – volume: 49 start-page: 44 year: 2010 ident: 9204_CR53 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.08.024 – volume: 3 start-page: 65 year: 2005 ident: 9204_CR98 publication-title: Neuroinformatics doi: 10.1385/NI:3:1:065 – volume: 55 start-page: 856 year: 2011 ident: 9204_CR181 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.01.008 – volume: 68 start-page: 295 year: 2011 ident: 9204_CR78 publication-title: Archives Of General Psychiatry doi: 10.1001/archgenpsychiatry.2010.153 – volume-title: Learning with Kernels: Support vector machines, regularization, optimization, and beyond year: 2002 ident: 9204_CR145 – volume: 58 start-page: 526 year: 2011 ident: 9204_CR26 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.06.044 – ident: 9204_CR6 doi: 10.1515/9781400874668 – volume: 42 start-page: 675 year: 2008 ident: 9204_CR21 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.04.255 – volume: 28 start-page: 980 year: 2005 ident: 9204_CR121 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2005.06.070 – ident: 9204_CR13 doi: 10.1016/j.cub.2012.07.002 – volume: 12 start-page: 535 year: 2009 ident: 9204_CR93 publication-title: Nature Neuroscience doi: 10.1038/nn.2303
SSID	ssj0026700
Score	2.5248682
SecondaryResourceType	review_article
Snippet	Machine learning techniques are increasingly being used in making relevant predictions and inferences on individual subjects neuroimaging scan data. Previous... Machine learning techniques are increasingly being used in making relevant predictions and inferences on individual subjects neuroimaging scan data. Previous...
SourceID	pubmedcentral proquest pubmed pascalfrancis crossref springer
SourceType	Open Access Repository Aggregation Database Index Database Enrichment Source Publisher
StartPage	229
SubjectTerms	Applied sciences Artificial Intelligence Bioinformatics Biological and medical sciences Biomedical and Life Sciences Biomedicine Brain - physiology Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer science; control theory; systems Data processing. List processing. Character string processing Exact sciences and technology Humans Investigative techniques, diagnostic techniques (general aspects) Learning and adaptive systems Medical sciences Memory organisation. Data processing Nervous system Neuroimaging - methods Neuroimaging - statistics & numerical data Neurology Neurosciences Pattern recognition. Digital image processing. Computational geometry Radiodiagnosis. Nmr imagery. Nmr spectrometry Review Software Statistics as Topic
SummonAdditionalLinks	– databaseName: ProQuest Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1La9wwEB7a9FIoJW36cJIGFUoPLaZ-yLLmFJbSEArtKYG9GUuW6ELj3WZ3D_33mZHl3Wwfe7VHII2k0Xya0TcA7yqnLDI6kdZlqSxrmWqls7SyHDOz2ruWrwa-fVeX1_LrtJrGC7dlTKscbWIw1N3c8h35JzqZUGKJVXW--JVy1SiOrsYSGg_hEVOXMfiqp1vAFZ-g0KbGtKgxH6Oa4elcwckJXNsACw4O7JxLTxbtklTkh9oW_3I-_86h_COQGs6ni0N4Gh1LMRlWwjN44PrncDTpCVTf_BbvRUj1DHfoR6AnYogJiLkX7ASubx196QYmWXE18rouxawXgb5jdhOqGb2A64svV58v01hCIbUV4iqtuoIgrkZrfelpoNaU5CJYQkW5UbnVuTcuV4S50Ev02thOElrOTCetN7VR5Us46Oe9ew0CK2rfltKVFjmXxrjWo_LonfVSW5lANiqwsZFfnMtc_Gy2zMis84Z03rDOmzKBD5smi4FcY5_w2c6sbFoUulJYZyqB03GamrgRl8122STwdvObthDHRdrezdcsw15QLotsrww5jmwAE3g1zPy2A4xRUeoE6p01sRFgCu_dP_3sR6DylmRDC275cVw997r-P00c7x_oCTym8cT0olM4WN2u3RvynFbmLGyPO4YYEu8 priority: 102 providerName: ProQuest
Title	A Review of Feature Reduction Techniques in Neuroimaging
URI	https://link.springer.com/article/10.1007/s12021-013-9204-3 https://www.ncbi.nlm.nih.gov/pubmed/24013948 https://www.proquest.com/docview/1519493955 https://www.proquest.com/docview/1520111420 https://www.proquest.com/docview/1524413183 https://pubmed.ncbi.nlm.nih.gov/PMC4040248
Volume	12
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
link	http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlR1da9wwTKzty2CMdt1H2u7wYOxhI5AP27Ees3Fd2VgZowe3p5D4bHqw5krv7mH_vlK-brd2hT0FbCnYkmVLliwBvFVOW2TrRFoXhTLNZGi0iUJl2WdmjXclXw18O9dnE_llqqbdO-5lH-3euySbnXrz2C3hcAKuRoAJX-fvwJ6iJl7WkyQfrKzu3QlJMoZJhnHvyrzvF1uH0ZPrckl08W1Bi_s0zruBk395T5tD6XQfnnbapMhb9h_AI1c_g8O8Jkv66rd4J5r4zubi_BBMLlpHgFh4wZrf-sZRy6xNHysu-mSuSzGvRZOzY37VlDB6DpPT8cWns7CrmxBahbgK1Swhu9agtT71NFFbpaQXWDKF4krH1sS-crEmQwu9RG8qO5NkIkfVTFpfZZVOX8BuvajdKxCoCL9MpUstcgBN5UqP2qN31ktjZQBRT8DCdknFubbFr2KTDplpXhDNC6Z5kQbwfkC5bjNqPAQ82uLKgJEYpTGLdAAnPZuKTvqWBWkxKDFFpQJ4M3ST3LAzpKzdYs0wrPrEMokehCFtkXe9AF62nN8MgA1TlCaAbGtNDACct3u7p55fNvm7JW2cCWN-6FfPH0P_FyWO_gv6GB7T9LoQoxPYXd2s3WvSnlbVCHayaTaCvfzzz69j-n4cn3__MWpk6BZBPxNV
linkProvider	Springer Nature
linkToHtml	http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VcgCpQkCBBtpiJOAAskhiJ7EPVbUCqi19nLbS3kLs2GIlml26u0L9U_xGZvLY7fLYW6-JncfMeGY-z3gG4HXiUqsJnUjrQi5FJrlKVcgTSzEzq7wraGvg7DztX8gvw2S4Ab-6szCUVtnpxFpRl2NLe-Qf0DJpqYVOksPJD05doyi62rXQaMTixF3_RMg2PTj-hPx9E8dHnwcf-7ztKsBtovWMJ2WMqE9pa73wOg6tEWg1LQKFyKSRVZE3LkoRhmgvtVfGlhIBZGhKab3JTCrwuXfgLhrekFIIs-ES4LVHXlCJaB5nOuqiqPVRvZiSIaiXAr5TcrFiB7cmxRRZ4pteGv9ydv_O2fwjcFvbw6OH8KB1ZFmvkbxHsOGqx7DdqxDEX16zt6xOLa337LdB9VgTg2Bjz8jpnF85vFI2lWvZoKsjO2WjitXlQkaXdfekJ3BxK8R9CpvVuHI7wHSC8wshnbCacneMK7xOvfbOeqmsDCDsCJjbtp45tdX4ni8rMRPNc6R5TjTPRQDvFlMmTTGPdYP3V7iymBGrJNVZmAaw27Epbxf-NF-KaQCvFrdxyVIcpqjceE5jyOuKZByuHYOOKincAJ41nF9-AGFiLVUA2YpMLAZQyfDVO9XoW106XKLOjmnm-056bnz6_yjxfP2PvoR7_cHZaX56fH7yAu7jv7WpTbuwObuauz302mZmv14qDL7e9tr8DXL6T_I
linkToPdf	http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtR1db9Mw8DSGhJAmBAxG2BhGAh5A0RJ_JPbDNFWMamMw8bBJfQuJY4tKW1rWVmh_bb-Ou3y0lI--7TW2k_i-z3e-A3itXGINeSfSuiiUIpWhTnQUKksxM6u9y-lo4MtpcnQuPw3UYA1uurswlFbZycRaUJcjS2fke6iZjDTCKLXn27SIr4f9g_GPkDpIUaS1a6fRkMiJu_6J7ttk__gQcf2G8_7Hsw9HYdthILTKmGmoSo4eoDbWeuENj2whUINadBriIomtjn3h4gRdEuOl8bqwpURnMipKaX2RFonA996Bu6lAtYm8lA4Wzl57_QUFigl5auIuolpf2-OUGEF9FfCbMhRLOnFjnE8QPb7pq_Evw_fv_M0_gri1buw_hAetUct6DRU-gjVXPYbNXoUO_eU1e8vqNNP6_H4TdI818Qg28owM0NmVwydlU8WWnXU1ZSdsWLG6dMjwsu6k9ATObwW4T2G9GlXuGTCjcH0upBPWUB5P4XJvEm-8s15qKwOIOgBmtq1tTi02LrJFVWaCeYYwzwjmmQjg3XzJuCnssWry7hJW5iu4VolJoySAnQ5NWSsEJtmCZAN4NR9G9qWYTF650YzmkAUWSx6tnINGKwnfALYazC9-gPxjI3UA6RJNzCdQ-fDlkWr4vS4jLlF-c1r5vqOe3379f5B4vnqjL-EecmX2-fj0ZBvu49baLKcdWJ9ezdwLNOCmxW7NKQy-3TZr_gJMJ1Qo
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+review+of+feature+reduction+techniques+in+neuroimaging&rft.jtitle=Neuroinformatics+%28Totowa%2C+N.J.%29&rft.au=Mwangi%2C+Benson&rft.au=Tian%2C+Tian+Siva&rft.au=Soares%2C+Jair+C&rft.date=2014-04-01&rft.issn=1559-0089&rft.eissn=1559-0089&rft.volume=12&rft.issue=2&rft.spage=229&rft_id=info:doi/10.1007%2Fs12021-013-9204-3&rft.externalDBID=NO_FULL_TEXT
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1539-2791&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1539-2791&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1539-2791&client=summon