Disrupted Brain Connectivity Networks in Drug-Naive, First-Episode Major Depressive Disorder
Neuroimaging studies have shown that major depressive disorder (MDD) is accompanied by structural and functional abnormalities in specific brain regions and connections; yet, little is known about alterations of the topological organization of whole-brain networks in MDD patients. Thirty drug-naive,...
Saved in:
Published in | Biological psychiatry (1969) Vol. 70; no. 4; pp. 334 - 342 |
---|---|
Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
15.08.2011
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Neuroimaging studies have shown that major depressive disorder (MDD) is accompanied by structural and functional abnormalities in specific brain regions and connections; yet, little is known about alterations of the topological organization of whole-brain networks in MDD patients.
Thirty drug-naive, first-episode MDD patients and 63 healthy control subjects underwent a resting-state functional magnetic resonance imaging scan. The whole-brain functional networks were constructed by thresholding partial correlation matrices of 90 brain regions, and their topological properties (e.g., small-world, efficiency, and nodal centrality) were analyzed using graph theory-based approaches. Nonparametric permutation tests were further used for group comparisons of topological metrics.
Both the MDD and control groups showed small-world architecture in brain functional networks, suggesting a balance between functional segregation and integration. However, compared with control subjects, the MDD patients showed altered quantitative values in the global properties, characterized by lower path length and higher global efficiency, implying a shift toward randomization in their brain networks. The MDD patients exhibited increased nodal centralities, predominately in the caudate nucleus and default-mode regions, including the hippocampus, inferior parietal, medial frontal, and parietal regions, and reduced nodal centralities in the occipital, frontal (orbital part), and temporal regions. The altered nodal centralities in the left hippocampus and the left caudate nucleus were correlated with disease duration and severity.
These results suggest that depressive disorder is associated with disruptions in the topological organization of functional brain networks and that this disruption may contribute to disturbances in mood and cognition in MDD patients. |
---|---|
AbstractList | Neuroimaging studies have shown that major depressive disorder (MDD) is accompanied by structural and functional abnormalities in specific brain regions and connections; yet, little is known about alterations of the topological organization of whole-brain networks in MDD patients.
Thirty drug-naive, first-episode MDD patients and 63 healthy control subjects underwent a resting-state functional magnetic resonance imaging scan. The whole-brain functional networks were constructed by thresholding partial correlation matrices of 90 brain regions, and their topological properties (e.g., small-world, efficiency, and nodal centrality) were analyzed using graph theory-based approaches. Nonparametric permutation tests were further used for group comparisons of topological metrics.
Both the MDD and control groups showed small-world architecture in brain functional networks, suggesting a balance between functional segregation and integration. However, compared with control subjects, the MDD patients showed altered quantitative values in the global properties, characterized by lower path length and higher global efficiency, implying a shift toward randomization in their brain networks. The MDD patients exhibited increased nodal centralities, predominately in the caudate nucleus and default-mode regions, including the hippocampus, inferior parietal, medial frontal, and parietal regions, and reduced nodal centralities in the occipital, frontal (orbital part), and temporal regions. The altered nodal centralities in the left hippocampus and the left caudate nucleus were correlated with disease duration and severity.
These results suggest that depressive disorder is associated with disruptions in the topological organization of functional brain networks and that this disruption may contribute to disturbances in mood and cognition in MDD patients. Background Neuroimaging studies have shown that major depressive disorder (MDD) is accompanied by structural and functional abnormalities in specific brain regions and connections; yet, little is known about alterations of the topological organization of whole-brain networks in MDD patients. Methods Thirty drug-naive, first-episode MDD patients and 63 healthy control subjects underwent a resting-state functional magnetic resonance imaging scan. The whole-brain functional networks were constructed by thresholding partial correlation matrices of 90 brain regions, and their topological properties (e.g., small-world, efficiency, and nodal centrality) were analyzed using graph theory-based approaches. Nonparametric permutation tests were further used for group comparisons of topological metrics. Results Both the MDD and control groups showed small-world architecture in brain functional networks, suggesting a balance between functional segregation and integration. However, compared with control subjects, the MDD patients showed altered quantitative values in the global properties, characterized by lower path length and higher global efficiency, implying a shift toward randomization in their brain networks. The MDD patients exhibited increased nodal centralities, predominately in the caudate nucleus and default-mode regions, including the hippocampus, inferior parietal, medial frontal, and parietal regions, and reduced nodal centralities in the occipital, frontal (orbital part), and temporal regions. The altered nodal centralities in the left hippocampus and the left caudate nucleus were correlated with disease duration and severity. Conclusions These results suggest that depressive disorder is associated with disruptions in the topological organization of functional brain networks and that this disruption may contribute to disturbances in mood and cognition in MDD patients. Neuroimaging studies have shown that major depressive disorder (MDD) is accompanied by structural and functional abnormalities in specific brain regions and connections; yet, little is known about alterations of the topological organization of whole-brain networks in MDD patients.BACKGROUNDNeuroimaging studies have shown that major depressive disorder (MDD) is accompanied by structural and functional abnormalities in specific brain regions and connections; yet, little is known about alterations of the topological organization of whole-brain networks in MDD patients.Thirty drug-naive, first-episode MDD patients and 63 healthy control subjects underwent a resting-state functional magnetic resonance imaging scan. The whole-brain functional networks were constructed by thresholding partial correlation matrices of 90 brain regions, and their topological properties (e.g., small-world, efficiency, and nodal centrality) were analyzed using graph theory-based approaches. Nonparametric permutation tests were further used for group comparisons of topological metrics.METHODSThirty drug-naive, first-episode MDD patients and 63 healthy control subjects underwent a resting-state functional magnetic resonance imaging scan. The whole-brain functional networks were constructed by thresholding partial correlation matrices of 90 brain regions, and their topological properties (e.g., small-world, efficiency, and nodal centrality) were analyzed using graph theory-based approaches. Nonparametric permutation tests were further used for group comparisons of topological metrics.Both the MDD and control groups showed small-world architecture in brain functional networks, suggesting a balance between functional segregation and integration. However, compared with control subjects, the MDD patients showed altered quantitative values in the global properties, characterized by lower path length and higher global efficiency, implying a shift toward randomization in their brain networks. The MDD patients exhibited increased nodal centralities, predominately in the caudate nucleus and default-mode regions, including the hippocampus, inferior parietal, medial frontal, and parietal regions, and reduced nodal centralities in the occipital, frontal (orbital part), and temporal regions. The altered nodal centralities in the left hippocampus and the left caudate nucleus were correlated with disease duration and severity.RESULTSBoth the MDD and control groups showed small-world architecture in brain functional networks, suggesting a balance between functional segregation and integration. However, compared with control subjects, the MDD patients showed altered quantitative values in the global properties, characterized by lower path length and higher global efficiency, implying a shift toward randomization in their brain networks. The MDD patients exhibited increased nodal centralities, predominately in the caudate nucleus and default-mode regions, including the hippocampus, inferior parietal, medial frontal, and parietal regions, and reduced nodal centralities in the occipital, frontal (orbital part), and temporal regions. The altered nodal centralities in the left hippocampus and the left caudate nucleus were correlated with disease duration and severity.These results suggest that depressive disorder is associated with disruptions in the topological organization of functional brain networks and that this disruption may contribute to disturbances in mood and cognition in MDD patients.CONCLUSIONSThese results suggest that depressive disorder is associated with disruptions in the topological organization of functional brain networks and that this disruption may contribute to disturbances in mood and cognition in MDD patients. |
Author | Wu, Qizhu Kuang, Weihong Gong, Qiyong Zhang, Junran Huang, Xiaoqi He, Yong Wang, Jinhui |
Author_xml | – sequence: 1 givenname: Junran surname: Zhang fullname: Zhang, Junran organization: Huaxi Magnetic Resonance Research Center, Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China – sequence: 2 givenname: Jinhui surname: Wang fullname: Wang, Jinhui organization: State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China – sequence: 3 givenname: Qizhu surname: Wu fullname: Wu, Qizhu organization: Huaxi Magnetic Resonance Research Center, Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China – sequence: 4 givenname: Weihong surname: Kuang fullname: Kuang, Weihong organization: Department of Psychiatry, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China – sequence: 5 givenname: Xiaoqi surname: Huang fullname: Huang, Xiaoqi organization: Huaxi Magnetic Resonance Research Center, Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China – sequence: 6 givenname: Yong surname: He fullname: He, Yong email: yong.he@bnu.edu.cn organization: State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China – sequence: 7 givenname: Qiyong surname: Gong fullname: Gong, Qiyong organization: Huaxi Magnetic Resonance Research Center, Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21791259$$D View this record in MEDLINE/PubMed |
BookMark | eNqNkk9v1DAQxS1URLeFr1DlxoUE_1knsYQQsNsCUikHekSyHHsCTrN2ajuL9tvj1XYvPVBOI2vee2P9Zs7QifMOELoguCKY1G-HqrN-ijv9u6KYkArzCpP2GVqQtmElXWJ6ghYY47pklLJTdBbjkJ8NpeQFOqWkEYRysUA_1zaGeUpgik9BWVesvHOgk93atCtuIP3x4S4WubEO86_yRtktvCmubIipvJxs9AaKb2rwoVjDFCDG3C9ypg8Gwkv0vFdjhFcP9RzdXl3err6U198_f119vC41X7JUqiVuMbBaMd3RnquWGsyF5lqQlnBuCBVKM0N70VHc6562ousNCMw6Qalm5-j1IXYK_n6GmOTGRg3jqBz4Ocq2EXUjRFtn5cWDcu42YOQU7EaFnTzyyIJ3B4EOPsYAvdQ2qWS9S5nOKAmWe_xykEf8co9fYi4z_myvH9mPE540fjgYIWPaWggyagtOg7Ehb0Mab5-OeP8oQo_WWa3GO9hBHPwcXF6CJDJSieWP_XHsb4MQjPmyqf8d8D8_-AvMw84I |
CitedBy_id | crossref_primary_10_1016_j_nicl_2017_11_007 crossref_primary_10_1371_journal_pone_0054512 crossref_primary_10_1186_s12888_025_06609_6 crossref_primary_10_3389_fpsyt_2021_790234 crossref_primary_10_1155_2021_6653309 crossref_primary_10_1002_hbm_25434 crossref_primary_10_1016_j_neuroimage_2023_120475 crossref_primary_10_1016_j_nicl_2013_03_007 crossref_primary_10_1016_j_ijchp_2023_100401 crossref_primary_10_1186_1866_1955_5_26 crossref_primary_10_1002_jnr_24725 crossref_primary_10_1007_s00234_022_02895_z crossref_primary_10_3389_fnagi_2022_754600 crossref_primary_10_1371_journal_pone_0068910 crossref_primary_10_1016_j_euroneuro_2012_10_011 crossref_primary_10_1093_cercor_bhab405 crossref_primary_10_1016_j_euroneuro_2012_10_010 crossref_primary_10_3389_fnagi_2022_907070 crossref_primary_10_1002_hbm_22158 crossref_primary_10_1016_j_jad_2013_03_004 crossref_primary_10_1016_j_nicl_2013_11_009 crossref_primary_10_1093_cercor_bhab520 crossref_primary_10_2174_1573400515666181213155225 crossref_primary_10_1038_s44220_023_00187_w crossref_primary_10_1002_hbm_24330 crossref_primary_10_1016_j_neuroscience_2024_10_037 crossref_primary_10_1371_journal_pone_0133775 crossref_primary_10_1016_j_neuroimage_2012_01_068 crossref_primary_10_1007_s00213_017_4602_0 crossref_primary_10_1016_j_neuroimage_2015_05_100 crossref_primary_10_1186_s12888_018_1631_0 crossref_primary_10_1080_20008198_2022_2057700 crossref_primary_10_1016_j_bspc_2023_104666 crossref_primary_10_1017_S1092852918001505 crossref_primary_10_3389_fpsyt_2020_565890 crossref_primary_10_3389_fpsyg_2018_01654 crossref_primary_10_1371_journal_pone_0060191 crossref_primary_10_3389_fnhum_2022_960784 crossref_primary_10_3389_fpsyt_2022_858768 crossref_primary_10_1016_j_biopsych_2013_10_001 crossref_primary_10_1002_hbm_23235 crossref_primary_10_3389_fnins_2022_725766 crossref_primary_10_1007_s11682_019_00210_8 crossref_primary_10_1371_journal_pone_0098697 crossref_primary_10_3389_fnagi_2022_773119 crossref_primary_10_1016_j_jad_2016_09_028 crossref_primary_10_1038_s41398_019_0506_6 crossref_primary_10_1038_s41380_018_0201_7 crossref_primary_10_1038_s41598_017_11729_5 crossref_primary_10_1016_j_neuroimage_2023_120497 crossref_primary_10_3389_fnagi_2020_615048 crossref_primary_10_1038_s41380_023_02394_4 crossref_primary_10_1016_j_neuroimage_2015_05_011 crossref_primary_10_1002_brb3_3598 crossref_primary_10_3389_fnins_2022_907216 crossref_primary_10_1111_cns_14547 crossref_primary_10_1016_j_heares_2016_02_016 crossref_primary_10_1109_TCBB_2020_2974952 crossref_primary_10_1016_j_jad_2024_03_166 crossref_primary_10_1016_j_pscychresns_2021_111356 crossref_primary_10_1155_2015_463708 crossref_primary_10_1371_journal_pone_0179638 crossref_primary_10_1038_npp_2013_322 crossref_primary_10_1016_j_chiabu_2016_10_013 crossref_primary_10_1016_j_neuroimage_2013_04_084 crossref_primary_10_1016_j_biopsych_2013_03_005 crossref_primary_10_1016_j_neuroimage_2013_04_087 crossref_primary_10_1016_j_jaac_2013_04_003 crossref_primary_10_1007_s40519_023_01617_5 crossref_primary_10_1002_hbm_24235 crossref_primary_10_3389_fnagi_2021_618623 crossref_primary_10_1016_j_pscychresns_2017_12_004 crossref_primary_10_1111_cns_13463 crossref_primary_10_1016_j_pscychresns_2020_111064 crossref_primary_10_3389_fnhum_2018_00204 crossref_primary_10_1016_j_arr_2025_102688 crossref_primary_10_1016_j_jad_2024_11_035 crossref_primary_10_1016_j_pnpbp_2021_110369 crossref_primary_10_1148_radiol_2016160907 crossref_primary_10_1155_2017_3609821 crossref_primary_10_1016_j_neuroimage_2024_120673 crossref_primary_10_1097_WNF_0000000000000427 crossref_primary_10_1155_2022_7912410 crossref_primary_10_3389_fphys_2022_858739 crossref_primary_10_1371_journal_pone_0032766 crossref_primary_10_3389_fnbeh_2019_00035 crossref_primary_10_1038_s41386_021_00989_5 crossref_primary_10_1177_0284185114529106 crossref_primary_10_1038_s41598_019_50025_2 crossref_primary_10_1016_j_jad_2013_02_002 crossref_primary_10_1016_j_nicl_2013_12_005 crossref_primary_10_1016_j_jns_2020_116702 crossref_primary_10_1148_radiol_2016152149 crossref_primary_10_3390_brainsci13040628 crossref_primary_10_3389_fpsyt_2019_00590 crossref_primary_10_1186_s12888_021_03292_1 crossref_primary_10_1016_j_clinph_2014_12_026 crossref_primary_10_1016_j_jad_2024_01_213 crossref_primary_10_1002_hbm_24415 crossref_primary_10_1016_j_bpsc_2016_08_003 crossref_primary_10_1016_j_nicl_2016_02_006 crossref_primary_10_1007_s00429_020_02200_9 crossref_primary_10_1016_j_jocn_2020_12_001 crossref_primary_10_1038_tp_2014_18 crossref_primary_10_1016_j_pnpbp_2012_08_014 crossref_primary_10_3389_fneur_2022_951302 crossref_primary_10_1038_s41598_019_50881_y crossref_primary_10_3390_brainsci12111538 crossref_primary_10_1016_j_ebiom_2022_103977 crossref_primary_10_1007_s11682_020_00353_z crossref_primary_10_3233_RNN_211148 crossref_primary_10_1016_j_tics_2023_05_006 crossref_primary_10_1016_j_jad_2023_01_104 crossref_primary_10_1038_npp_2016_76 crossref_primary_10_1016_j_jad_2020_09_127 crossref_primary_10_1089_brain_2023_0063 crossref_primary_10_1016_j_nicl_2018_06_012 crossref_primary_10_1093_schbul_sby046 crossref_primary_10_1186_s12888_024_06427_2 crossref_primary_10_1212_WNL_0000000000007607 crossref_primary_10_1016_j_jad_2019_01_048 crossref_primary_10_3389_fnins_2017_00214 crossref_primary_10_3389_fpsyt_2020_00143 crossref_primary_10_3389_fnagi_2022_873148 crossref_primary_10_1001_jamapsychiatry_2018_1941 crossref_primary_10_1038_srep27964 crossref_primary_10_1002_hbm_23111 crossref_primary_10_1002_brb3_1257 crossref_primary_10_1007_s11682_021_00571_z crossref_primary_10_1007_s11682_017_9693_z crossref_primary_10_3389_fnana_2017_00034 crossref_primary_10_1089_brain_2014_0291 crossref_primary_10_1016_j_jneumeth_2018_04_009 crossref_primary_10_1177_0004867415617835 crossref_primary_10_3389_fpsyt_2023_1184797 crossref_primary_10_3389_fnins_2022_1010488 crossref_primary_10_1093_scan_nst126 crossref_primary_10_3174_ajnr_A4265 crossref_primary_10_1016_j_neuroimage_2019_01_074 crossref_primary_10_1038_npp_2014_169 crossref_primary_10_1007_s00787_023_02314_5 crossref_primary_10_1016_j_pnpbp_2021_110459 crossref_primary_10_1093_schbul_sbx048 crossref_primary_10_1007_s00415_015_7750_3 crossref_primary_10_1038_s41598_022_10038_w crossref_primary_10_3389_fpsyt_2022_925253 crossref_primary_10_1002_hbm_23108 crossref_primary_10_1016_j_neuroscience_2017_09_009 crossref_primary_10_1038_srep43089 crossref_primary_10_3389_fnhum_2020_00172 crossref_primary_10_1016_j_pnpbp_2019_109758 crossref_primary_10_1142_S1793545818400011 crossref_primary_10_1016_j_pscychresns_2016_03_003 crossref_primary_10_1002_hbm_22495 crossref_primary_10_1007_s10548_020_00794_1 crossref_primary_10_1002_jnr_24760 crossref_primary_10_1016_j_biopsych_2013_09_002 crossref_primary_10_1159_000533128 crossref_primary_10_1016_j_neuroimage_2013_03_010 crossref_primary_10_1176_appi_ajp_2019_18070870 crossref_primary_10_1080_21681163_2024_2440073 crossref_primary_10_1016_j_clinph_2013_03_004 crossref_primary_10_1016_j_pscychresns_2019_08_003 crossref_primary_10_1007_s11682_017_9802_z crossref_primary_10_1038_s41598_017_11792_y crossref_primary_10_3389_fnins_2022_814477 crossref_primary_10_1007_s00234_023_03209_7 crossref_primary_10_1017_S0033291716002646 crossref_primary_10_1007_s12035_017_0519_1 crossref_primary_10_1016_j_neuroimage_2015_07_039 crossref_primary_10_1016_j_neuroimage_2014_11_021 crossref_primary_10_1016_j_nicl_2020_102163 crossref_primary_10_1016_j_neuroimage_2024_120879 crossref_primary_10_3389_fpsyt_2023_1321660 crossref_primary_10_1371_journal_pone_0068609 crossref_primary_10_1038_srep12812 crossref_primary_10_1016_j_pnpbp_2014_07_007 crossref_primary_10_3389_fpsyt_2023_1224040 crossref_primary_10_1007_s11548_015_1330_y crossref_primary_10_1111_cns_14804 crossref_primary_10_1371_journal_pone_0053148 crossref_primary_10_3389_fnins_2016_00308 crossref_primary_10_1016_j_neuroimage_2024_120599 crossref_primary_10_3389_fpsyt_2019_00703 crossref_primary_10_3389_fnagi_2022_844483 crossref_primary_10_1016_j_nicl_2017_05_014 crossref_primary_10_1038_s41386_019_0591_5 crossref_primary_10_1007_s00234_021_02653_7 crossref_primary_10_1097_WNR_0000000000001227 crossref_primary_10_1007_s00787_022_02072_w crossref_primary_10_1007_s11571_021_09666_1 crossref_primary_10_1016_j_jad_2018_11_002 crossref_primary_10_1007_s00330_019_06164_1 crossref_primary_10_3389_fpsyt_2022_864902 crossref_primary_10_1016_j_pscychresns_2016_12_001 crossref_primary_10_1109_TCBB_2022_3222592 crossref_primary_10_1002_hbm_23643 crossref_primary_10_1016_j_pnpbp_2024_110957 crossref_primary_10_1002_hbm_24738 crossref_primary_10_1111_cns_13725 crossref_primary_10_1111_cns_12998 crossref_primary_10_1016_j_pscychresns_2016_12_007 crossref_primary_10_1016_j_jad_2017_06_055 crossref_primary_10_1038_s41598_024_58764_7 crossref_primary_10_3389_fnins_2021_628880 crossref_primary_10_1016_j_clinph_2015_02_060 crossref_primary_10_1016_j_pnpbp_2019_109819 crossref_primary_10_1371_journal_pone_0082715 crossref_primary_10_3389_fnagi_2015_00169 crossref_primary_10_1002_aur_3180 crossref_primary_10_1371_journal_pone_0107306 crossref_primary_10_1016_j_heliyon_2017_e00475 crossref_primary_10_1038_s44220_023_00046_8 crossref_primary_10_1016_j_neuroimage_2018_09_028 crossref_primary_10_3390_brainsci12121680 crossref_primary_10_1016_j_neuroimage_2017_12_011 crossref_primary_10_1002_hbm_22663 crossref_primary_10_1002_hbm_24602 crossref_primary_10_1016_j_jad_2017_03_073 crossref_primary_10_1007_s00234_018_2104_3 crossref_primary_10_1016_j_pscychresns_2016_12_010 crossref_primary_10_31083_j_jin2301012 crossref_primary_10_3390_brainsci11020192 crossref_primary_10_1002_hbm_24845 crossref_primary_10_1016_j_biopsych_2018_11_011 crossref_primary_10_1016_j_pnpbp_2017_02_001 crossref_primary_10_1186_s12991_024_00500_6 crossref_primary_10_1016_j_jad_2023_02_126 crossref_primary_10_1088_1741_2552_abbc28 crossref_primary_10_1109_TNSRE_2019_2894423 crossref_primary_10_1111_ejn_14962 crossref_primary_10_1016_j_neulet_2016_06_048 crossref_primary_10_1155_2022_4714763 crossref_primary_10_3389_fnhum_2021_716719 crossref_primary_10_1016_j_biopsycho_2015_09_005 crossref_primary_10_1109_JPROC_2018_2825200 crossref_primary_10_1016_j_jad_2019_09_051 crossref_primary_10_1016_j_nicl_2018_101619 crossref_primary_10_1038_s41598_020_76495_3 crossref_primary_10_1089_brain_2012_0125 crossref_primary_10_1016_j_jpsychires_2023_10_004 crossref_primary_10_1016_j_neuroimage_2021_118772 crossref_primary_10_1016_j_jad_2017_05_039 crossref_primary_10_1016_j_eplepsyres_2013_10_002 crossref_primary_10_1089_brain_2019_0686 crossref_primary_10_1002_hbm_25606 crossref_primary_10_1038_tp_2015_60 crossref_primary_10_1007_s11682_022_00669_y crossref_primary_10_1007_s11682_023_00839_6 crossref_primary_10_1016_j_neuroimage_2018_01_003 crossref_primary_10_1089_brain_2016_0457 crossref_primary_10_1016_j_neulet_2023_137401 crossref_primary_10_1089_brain_2012_0110 crossref_primary_10_1016_j_jad_2022_02_050 crossref_primary_10_3389_fncom_2018_00095 crossref_primary_10_1007_s00406_015_0614_0 crossref_primary_10_1016_j_jad_2022_02_052 crossref_primary_10_1007_s11682_016_9626_2 crossref_primary_10_1016_j_brainres_2024_149169 crossref_primary_10_1016_j_jad_2021_01_088 crossref_primary_10_1093_schbul_sbx014 crossref_primary_10_1016_j_jad_2019_09_063 crossref_primary_10_1002_hbm_23534 crossref_primary_10_1155_2017_9514369 crossref_primary_10_1002_hbm_24743 crossref_primary_10_1093_braincomms_fcab184 crossref_primary_10_1016_j_bpsc_2016_02_004 crossref_primary_10_1371_journal_pone_0226816 crossref_primary_10_1371_journal_pone_0120828 crossref_primary_10_1007_s00213_018_4841_8 crossref_primary_10_1016_j_jad_2024_12_036 crossref_primary_10_1038_s41398_022_01995_x crossref_primary_10_1186_s12991_024_00525_x crossref_primary_10_3389_fpsyt_2021_779878 crossref_primary_10_1016_j_biopsych_2015_02_028 crossref_primary_10_1016_j_neuri_2024_100173 crossref_primary_10_1371_journal_pone_0067354 crossref_primary_10_1016_j_bbr_2016_03_012 crossref_primary_10_1038_srep43105 crossref_primary_10_3233_JAD_160447 crossref_primary_10_1007_s00787_023_02245_1 crossref_primary_10_1017_S0033291723002453 crossref_primary_10_1192_bjp_2024_41 crossref_primary_10_1038_srep23577 crossref_primary_10_3389_fphys_2021_632058 crossref_primary_10_1016_j_jpsychires_2017_12_018 crossref_primary_10_1038_tp_2016_53 crossref_primary_10_1038_s41598_024_54518_7 crossref_primary_10_1007_s00702_022_02477_6 crossref_primary_10_1016_j_ibneur_2022_12_006 crossref_primary_10_1016_j_pnpbp_2020_110082 crossref_primary_10_3389_fnagi_2015_00006 crossref_primary_10_1088_1367_2630_aaf51c crossref_primary_10_1002_hbm_22871 crossref_primary_10_1016_j_biopsych_2014_09_002 crossref_primary_10_1016_j_jpsychires_2017_04_007 crossref_primary_10_1089_brain_2012_0132 crossref_primary_10_3109_15622975_2014_966144 crossref_primary_10_1097_WNR_0000000000002108 crossref_primary_10_2147_JPR_S470194 crossref_primary_10_1007_s11682_019_00140_5 crossref_primary_10_4236_ojrm_2014_34009 crossref_primary_10_1088_1741_2552_aa6401 crossref_primary_10_1177_20451253231175302 crossref_primary_10_1016_j_brainres_2025_149522 crossref_primary_10_1007_s11682_019_00175_8 crossref_primary_10_1016_j_nicl_2019_101809 crossref_primary_10_1016_j_biopsych_2023_05_021 crossref_primary_10_1016_j_jad_2020_07_016 crossref_primary_10_1186_s12888_021_03503_9 crossref_primary_10_1038_s41398_020_01053_4 crossref_primary_10_1177_0300060514533524 crossref_primary_10_1038_s42003_020_01610_z crossref_primary_10_1155_2015_825136 crossref_primary_10_1371_journal_pone_0091102 crossref_primary_10_1007_s00213_019_05310_3 crossref_primary_10_3389_fnhum_2023_1253529 crossref_primary_10_3389_fnins_2023_1146264 crossref_primary_10_1016_j_nbd_2024_106504 crossref_primary_10_1002_pchj_60 crossref_primary_10_1016_j_jpsychires_2015_02_025 crossref_primary_10_1016_j_jpsychires_2022_04_010 crossref_primary_10_1177_1073858414525995 crossref_primary_10_1016_j_bpsc_2019_12_002 crossref_primary_10_3389_fnins_2018_00709 crossref_primary_10_1088_1741_2552_ac8e33 crossref_primary_10_3389_fnhum_2021_746499 crossref_primary_10_1002_jnr_23820 crossref_primary_10_1016_j_neuroimage_2015_05_051 crossref_primary_10_1002_da_22906 crossref_primary_10_1016_j_biopsych_2012_11_007 crossref_primary_10_1016_j_neuroscience_2021_05_021 crossref_primary_10_1007_s11682_016_9572_z crossref_primary_10_1016_j_arr_2024_102590 crossref_primary_10_1016_j_neuropsychologia_2019_05_002 crossref_primary_10_3390_diagnostics14040389 crossref_primary_10_1523_JNEUROSCI_1020_12_2012 crossref_primary_10_1016_j_neuroimage_2015_05_046 crossref_primary_10_1155_2020_9345602 crossref_primary_10_1016_j_nlm_2017_03_010 crossref_primary_10_1111_cns_14910 crossref_primary_10_1038_s41380_024_02406_x crossref_primary_10_1002_jnr_24912 crossref_primary_10_1007_s11682_018_9896_y crossref_primary_10_1038_s41537_024_00508_7 crossref_primary_10_4028_www_scientific_net_AMR_989_994_2037 crossref_primary_10_1093_cercor_bhad418 crossref_primary_10_1111_desc_12424 crossref_primary_10_1016_j_yhbeh_2020_104782 crossref_primary_10_1109_TCBB_2021_3137498 crossref_primary_10_1002_hbm_23976 crossref_primary_10_1002_hbm_24945 crossref_primary_10_1002_mpr_1816 crossref_primary_10_1093_cercor_bhad023 crossref_primary_10_1093_cercor_bhae111 crossref_primary_10_1148_radiol_15141700 crossref_primary_10_1097_WNR_0b013e32835a650c crossref_primary_10_1371_journal_pone_0141840 crossref_primary_10_1016_j_jad_2016_06_066 crossref_primary_10_1007_s11682_017_9699_6 crossref_primary_10_1016_j_bosn_2024_04_001 crossref_primary_10_1016_j_nicl_2023_103512 crossref_primary_10_1016_j_clinph_2018_01_017 crossref_primary_10_3389_fnhum_2017_00583 crossref_primary_10_1016_j_jad_2021_08_120 crossref_primary_10_1016_j_biopsych_2015_11_027 crossref_primary_10_1016_j_nic_2017_06_008 crossref_primary_10_1016_j_neuroimage_2011_11_054 crossref_primary_10_1016_j_jad_2022_11_023 crossref_primary_10_3389_fnins_2023_1078119 crossref_primary_10_1016_j_euroneuro_2014_02_011 crossref_primary_10_1016_j_neubiorev_2015_09_022 crossref_primary_10_1016_j_nicl_2019_102142 crossref_primary_10_1017_S0033291719001934 crossref_primary_10_1016_j_jad_2019_04_064 crossref_primary_10_1016_j_biopsych_2014_08_009 crossref_primary_10_1097_j_pain_0000000000001507 crossref_primary_10_1016_j_ejpn_2023_09_005 crossref_primary_10_1016_j_neulet_2017_08_002 crossref_primary_10_1016_j_nbd_2012_07_009 crossref_primary_10_1016_j_pscychresns_2019_04_004 crossref_primary_10_1038_tp_2016_81 crossref_primary_10_3389_fpsyt_2023_1156617 crossref_primary_10_1038_s41598_017_11754_4 crossref_primary_10_1016_j_jad_2022_12_057 crossref_primary_10_1016_j_brainres_2023_148634 crossref_primary_10_1016_j_jad_2015_12_052 crossref_primary_10_3389_fpsyt_2018_00339 crossref_primary_10_1016_j_jad_2016_05_004 crossref_primary_10_1038_tp_2016_110 crossref_primary_10_1186_s12888_016_1053_9 crossref_primary_10_1016_j_clinph_2022_03_014 crossref_primary_10_1016_j_jad_2019_03_030 crossref_primary_10_1038_tp_2016_233 crossref_primary_10_1088_1741_2552_ab7613 crossref_primary_10_1016_j_neuroimage_2013_07_058 crossref_primary_10_1017_S1355617716000011 crossref_primary_10_1016_j_nicl_2022_103139 crossref_primary_10_1016_j_jad_2020_08_060 crossref_primary_10_1371_journal_pone_0148345 crossref_primary_10_1016_j_jad_2017_08_089 crossref_primary_10_1016_j_neuroimage_2021_118018 crossref_primary_10_1016_j_nicl_2018_01_012 crossref_primary_10_1007_s00062_021_01002_8 crossref_primary_10_1016_j_jad_2017_08_086 crossref_primary_10_1017_S0033291713002596 crossref_primary_10_3389_fnagi_2020_00006 crossref_primary_10_1038_s41598_018_26317_4 crossref_primary_10_4236_wjns_2016_63023 crossref_primary_10_1002_brb3_912 crossref_primary_10_1002_hbm_22736 crossref_primary_10_1007_s00429_023_02724_w crossref_primary_10_3389_fnins_2021_690743 crossref_primary_10_1016_j_eplepsyres_2015_03_015 crossref_primary_10_1038_s41598_017_02277_z crossref_primary_10_1016_j_jad_2014_10_019 crossref_primary_10_1002_ajmg_b_32633 crossref_primary_10_1016_j_jad_2014_11_053 crossref_primary_10_1038_srep39243 crossref_primary_10_1007_s12264_024_01262_7 crossref_primary_10_1016_j_nicl_2023_103545 crossref_primary_10_1111_j_1460_9568_2012_08035_x crossref_primary_10_3389_fpsyg_2019_00648 crossref_primary_10_1007_s11682_024_00915_5 crossref_primary_10_1007_s11682_020_00273_y crossref_primary_10_1371_journal_pone_0048658 crossref_primary_10_1007_s00401_013_1223_5 crossref_primary_10_3389_fnagi_2022_905487 crossref_primary_10_3389_fpsyt_2021_664811 crossref_primary_10_1016_j_biopsych_2012_04_031 crossref_primary_10_4103_0366_6999_178002 crossref_primary_10_1111_acps_12752 crossref_primary_10_22172_cogbio_2017_29_2_001 crossref_primary_10_1016_j_pscychresns_2017_09_011 crossref_primary_10_1016_j_heliyon_2024_e33833 crossref_primary_10_1007_s11682_019_00228_y crossref_primary_10_1002_mrm_25036 crossref_primary_10_1016_j_biopsych_2014_07_002 crossref_primary_10_7717_peerj_3147 crossref_primary_10_1016_j_bpsc_2020_06_015 crossref_primary_10_1016_j_pscychresns_2016_07_001 crossref_primary_10_1093_cercor_bhac498 crossref_primary_10_1155_2015_343720 crossref_primary_10_1111_ijs_12190 crossref_primary_10_1371_journal_pone_0040709 crossref_primary_10_1093_cercor_bhac015 crossref_primary_10_1016_j_jad_2025_01_071 crossref_primary_10_1016_j_nicl_2021_102917 crossref_primary_10_1038_s42003_024_06264_9 crossref_primary_10_1007_s11682_020_00436_x crossref_primary_10_1371_journal_pone_0141815 crossref_primary_10_1007_s00406_024_01847_3 crossref_primary_10_1016_j_psychres_2023_115073 crossref_primary_10_1016_j_pscychresns_2019_03_008 crossref_primary_10_3389_fneur_2024_1388616 crossref_primary_10_1016_j_jad_2022_04_023 crossref_primary_10_1016_j_neuroimage_2013_07_022 crossref_primary_10_1111_ejn_16643 crossref_primary_10_1002_acn3_52091 crossref_primary_10_1016_j_neubiorev_2012_12_007 crossref_primary_10_1016_j_nicl_2018_03_030 crossref_primary_10_1038_s41531_023_00617_7 crossref_primary_10_1155_2016_9803165 crossref_primary_10_1038_mp_2015_149 crossref_primary_10_1016_j_pscychresns_2016_07_011 crossref_primary_10_1039_C5AY00699F crossref_primary_10_1016_j_sleep_2024_03_038 crossref_primary_10_1016_j_jad_2022_05_067 crossref_primary_10_1093_cercor_bhx273 crossref_primary_10_1017_S0033291723003719 crossref_primary_10_1016_j_neuroimage_2019_116339 crossref_primary_10_3389_fneur_2018_00094 crossref_primary_10_1002_brb3_70323 crossref_primary_10_1038_npp_2017_103 crossref_primary_10_1002_hbm_25091 crossref_primary_10_1002_jnr_25047 crossref_primary_10_1016_j_neuroimage_2014_09_027 crossref_primary_10_1002_hbm_22817 crossref_primary_10_3389_fnagi_2018_00404 crossref_primary_10_1111_adb_12155 crossref_primary_10_1016_j_nicl_2013_07_004 crossref_primary_10_1162_netn_a_00060 crossref_primary_10_1186_s12879_025_10780_2 crossref_primary_10_3389_fnagi_2020_00203 crossref_primary_10_1007_s00787_022_01959_y crossref_primary_10_1002_alz_14130 crossref_primary_10_1007_s10548_022_00920_1 crossref_primary_10_1097_MD_0000000000007826 crossref_primary_10_1016_j_neuroscience_2022_10_010 crossref_primary_10_1093_cercor_bhae220 crossref_primary_10_1142_S0129065718500570 crossref_primary_10_1002_jnr_25178 crossref_primary_10_1093_cercor_bhad372 crossref_primary_10_1371_journal_pone_0062867 crossref_primary_10_1002_brx2_72 crossref_primary_10_1016_j_biopsych_2014_02_018 crossref_primary_10_1038_s41598_019_41175_4 crossref_primary_10_1016_j_neuropharm_2020_108246 crossref_primary_10_1016_j_parkreldis_2018_06_021 crossref_primary_10_1016_j_clinph_2012_12_003 crossref_primary_10_1016_j_jad_2019_04_001 crossref_primary_10_1007_s11682_020_00293_8 crossref_primary_10_1002_jmri_28650 crossref_primary_10_1209_0295_5075_127_40004 crossref_primary_10_1002_oby_23873 crossref_primary_10_1016_j_neulet_2020_134745 crossref_primary_10_1038_tp_2017_117 crossref_primary_10_1016_j_jad_2021_03_031 crossref_primary_10_3390_diagnostics11081416 crossref_primary_10_1016_j_jad_2024_10_067 crossref_primary_10_3389_fpsyt_2023_1223147 crossref_primary_10_1016_j_nicl_2019_101680 crossref_primary_10_1016_j_neulet_2022_136720 crossref_primary_10_1016_j_bpsc_2021_05_008 crossref_primary_10_1016_j_neuroimage_2022_119246 crossref_primary_10_1016_j_jad_2022_08_128 crossref_primary_10_1016_j_bspc_2024_106613 crossref_primary_10_1016_j_neuroimage_2016_09_003 crossref_primary_10_1016_j_psychres_2023_115557 crossref_primary_10_4028_www_scientific_net_AMM_427_429_1440 crossref_primary_10_1038_npp_2014_302 crossref_primary_10_1089_brain_2015_0401 crossref_primary_10_1016_j_jad_2020_01_135 crossref_primary_10_1109_TNSRE_2020_3043426 crossref_primary_10_1523_JNEUROSCI_5061_11_2012 crossref_primary_10_1038_s41398_020_0727_8 crossref_primary_10_1371_journal_pone_0071368 crossref_primary_10_3390_s21217266 crossref_primary_10_1016_j_neubiorev_2017_03_018 crossref_primary_10_1017_S1041610218000054 crossref_primary_10_1089_brain_2011_0055 crossref_primary_10_1371_journal_pone_0072332 crossref_primary_10_1016_j_jad_2020_05_148 crossref_primary_10_3390_brainsci11030310 crossref_primary_10_1007_s10548_018_0642_y crossref_primary_10_1002_brb3_2076 crossref_primary_10_1111_psyp_14458 crossref_primary_10_1214_13_SS103 crossref_primary_10_1007_s11682_021_00518_4 crossref_primary_10_3389_fneur_2022_791298 crossref_primary_10_1016_j_pscychresns_2022_111441 crossref_primary_10_1109_JBHI_2024_3351177 crossref_primary_10_1007_s11682_018_0009_8 crossref_primary_10_1016_j_pnpbp_2021_110426 crossref_primary_10_1177_1533317520971414 crossref_primary_10_1038_srep21861 crossref_primary_10_1007_s12264_022_00918_6 crossref_primary_10_1155_2014_846830 crossref_primary_10_3389_fpsyt_2022_941073 crossref_primary_10_1016_j_neuroimage_2013_04_032 crossref_primary_10_1016_j_ijpsycho_2016_12_005 crossref_primary_10_1016_j_neuroimage_2018_06_019 crossref_primary_10_1016_j_jpsychires_2021_06_019 crossref_primary_10_1016_j_neuroscience_2024_12_016 crossref_primary_10_1007_s00429_024_02864_7 crossref_primary_10_1016_j_jad_2021_10_122 crossref_primary_10_1016_j_pscychresns_2012_04_010 crossref_primary_10_1093_scan_nsab127 crossref_primary_10_1002_smi_2470 crossref_primary_10_1016_j_comppsych_2014_06_009 crossref_primary_10_1016_j_jagp_2013_10_004 crossref_primary_10_1093_brain_awt290 crossref_primary_10_1016_j_pscychresns_2014_05_010 crossref_primary_10_1186_s12859_016_0933_9 crossref_primary_10_1038_s41380_021_01247_2 crossref_primary_10_1148_radiol_2017162929 crossref_primary_10_1016_j_neuroimage_2013_08_064 crossref_primary_10_3389_fneur_2014_00158 crossref_primary_10_1016_j_jad_2019_01_012 crossref_primary_10_1007_s11682_019_00226_0 crossref_primary_10_3389_fneur_2022_869871 crossref_primary_10_1016_j_bpsc_2018_01_004 crossref_primary_10_3389_fnins_2023_1282232 crossref_primary_10_3389_fonc_2022_927771 crossref_primary_10_34133_cbsystems_0130 crossref_primary_10_1016_j_clineuro_2022_107481 crossref_primary_10_1371_journal_pone_0062789 crossref_primary_10_1016_j_jad_2021_10_012 crossref_primary_10_3389_fnins_2022_1035153 crossref_primary_10_1002_jmri_28578 crossref_primary_10_1016_j_pnpbp_2012_07_004 crossref_primary_10_3389_fpsyt_2019_00140 crossref_primary_10_1016_j_compbiomed_2023_107478 crossref_primary_10_1016_j_jad_2014_05_061 crossref_primary_10_3390_bioengineering10080958 crossref_primary_10_5056_jnm15118 crossref_primary_10_1038_s42003_024_05873_8 crossref_primary_10_1007_s11571_022_09782_6 crossref_primary_10_1016_j_pnpbp_2019_01_012 crossref_primary_10_1016_j_pscychresns_2018_05_001 crossref_primary_10_1371_journal_pone_0094115 crossref_primary_10_1002_hbm_25230 crossref_primary_10_1007_s12194_022_00670_6 crossref_primary_10_1016_j_cmpb_2023_107905 crossref_primary_10_1016_j_biopsych_2013_10_026 crossref_primary_10_1063_1_4729185 crossref_primary_10_1002_hbm_25597 crossref_primary_10_1002_hbm_26202 crossref_primary_10_1016_j_biopsych_2012_09_014 crossref_primary_10_1093_scan_nsv040 crossref_primary_10_3389_fncom_2021_641335 crossref_primary_10_1016_j_jad_2019_04_096 crossref_primary_10_3389_fnagi_2021_728622 crossref_primary_10_1007_s00406_023_01625_7 crossref_primary_10_18632_oncotarget_21282 crossref_primary_10_3390_ijerph19063321 crossref_primary_10_1109_JPROC_2023_3277471 crossref_primary_10_1093_scan_nsx108 crossref_primary_10_1117_1_NPh_6_2_025010 crossref_primary_10_1007_s00429_013_0641_4 crossref_primary_10_1007_s00415_021_10817_x crossref_primary_10_1016_j_pscychresns_2015_09_014 crossref_primary_10_1016_j_neurot_2024_e00367 crossref_primary_10_1016_j_pscychresns_2015_09_013 crossref_primary_10_3389_fnins_2020_00192 crossref_primary_10_1002_hbm_70030 crossref_primary_10_1111_bdi_13139 crossref_primary_10_1002_jmri_27270 crossref_primary_10_1002_hbm_24374 crossref_primary_10_1016_j_pnpbp_2024_111211 crossref_primary_10_1016_j_nicl_2018_04_021 crossref_primary_10_1038_s41398_019_0680_6 crossref_primary_10_1002_hbm_25345 crossref_primary_10_1002_hbm_23166 crossref_primary_10_1016_j_nicl_2018_10_015 crossref_primary_10_1016_j_ynstr_2023_100578 crossref_primary_10_1192_bjp_bp_112_119156 crossref_primary_10_3389_fnins_2019_00239 crossref_primary_10_1016_j_jad_2022_12_019 crossref_primary_10_1155_2020_7839536 crossref_primary_10_1007_s12035_015_9558_7 crossref_primary_10_1016_j_addbeh_2019_106202 crossref_primary_10_1111_cns_14579 crossref_primary_10_3389_fpsyg_2019_02923 crossref_primary_10_3389_fnins_2017_00056 crossref_primary_10_1007_s00787_019_01414_5 crossref_primary_10_1038_s41598_020_67048_9 crossref_primary_10_1038_srep09710 crossref_primary_10_1016_j_brainres_2014_02_033 crossref_primary_10_1016_j_neuroscience_2018_06_050 crossref_primary_10_3390_brainsci8080150 crossref_primary_10_1016_j_jad_2021_07_078 crossref_primary_10_1016_j_neurobiolaging_2015_11_022 crossref_primary_10_1016_j_pscychresns_2017_03_012 crossref_primary_10_1093_brain_aws136 crossref_primary_10_3389_fnins_2022_1014539 crossref_primary_10_1016_j_neulet_2021_135970 crossref_primary_10_1038_s44220_024_00323_0 crossref_primary_10_1016_j_jad_2021_05_017 crossref_primary_10_1089_brain_2017_0510 crossref_primary_10_1016_j_jad_2023_01_080 crossref_primary_10_1136_bmjopen_2016_013432 crossref_primary_10_1016_j_neuroimage_2025_121069 crossref_primary_10_1016_j_jad_2021_05_018 crossref_primary_10_1038_s41598_017_10575_9 crossref_primary_10_1007_s00213_017_4823_2 crossref_primary_10_2139_ssrn_4075848 crossref_primary_10_3389_fnins_2023_1118395 crossref_primary_10_1111_cns_14226 crossref_primary_10_1016_j_bbr_2017_09_017 crossref_primary_10_3389_fnins_2020_00050 crossref_primary_10_1177_0004867415577978 crossref_primary_10_1177_23982128211055426 crossref_primary_10_1097_MD_0000000000017127 crossref_primary_10_1038_s41386_022_01328_y crossref_primary_10_1093_nsr_nwaa029 crossref_primary_10_3389_fneur_2018_00363 crossref_primary_10_1016_j_jad_2021_05_013 crossref_primary_10_1038_s41598_020_60133_z crossref_primary_10_1371_journal_pone_0226249 crossref_primary_10_1007_s11065_012_9199_9 crossref_primary_10_1016_j_jad_2015_12_081 crossref_primary_10_1109_JETCAS_2023_3265928 crossref_primary_10_1089_brain_2011_0062 crossref_primary_10_18632_oncotarget_19098 crossref_primary_10_3390_jcm10194322 crossref_primary_10_1002_mds_27284 crossref_primary_10_1007_s00429_022_02498_7 crossref_primary_10_1016_j_jagp_2013_03_005 crossref_primary_10_1016_j_mehy_2012_01_043 crossref_primary_10_1016_j_genhosppsych_2015_01_005 crossref_primary_10_1111_ene_13461 crossref_primary_10_1016_j_tics_2013_10_007 crossref_primary_10_1038_s41386_019_0586_2 crossref_primary_10_1186_s12984_023_01187_8 crossref_primary_10_1007_s11682_021_00563_z crossref_primary_10_1016_j_brs_2022_01_007 crossref_primary_10_1016_j_neuroimage_2016_03_071 crossref_primary_10_1016_j_schres_2017_01_025 crossref_primary_10_1002_hbm_24390 crossref_primary_10_1016_j_bspc_2023_105135 crossref_primary_10_1016_j_jad_2022_08_072 crossref_primary_10_1016_j_jaac_2020_01_024 crossref_primary_10_1016_j_neuroimage_2024_120918 crossref_primary_10_1016_j_neurad_2023_09_007 crossref_primary_10_1038_s41380_022_01519_5 crossref_primary_10_35772_ghm_2023_01043 crossref_primary_10_3389_fnins_2021_728874 crossref_primary_10_1155_2017_7543686 crossref_primary_10_3389_fnhum_2014_00692 |
Cites_doi | 10.1109/42.750253 10.1523/JNEUROSCI.0333-10.2010 10.1002/hbm.20662 10.1073/pnas.0135058100 10.1038/nrn2575 10.1093/brain/awn262 10.1093/cercor/bhi016 10.1523/JNEUROSCI.0141-08.2008 10.1176/appi.ajp.161.11.1957 10.1002/hbm.20663 10.1001/archpsyc.1992.01820070047007 10.1016/j.neuroimage.2009.12.051 10.1038/nrn2201 10.1016/j.pscychresns.2008.03.012 10.1093/brain/awn018 10.1073/pnas.98.2.676 10.1103/PhysRevLett.87.198701 10.1016/j.neuroimage.2010.01.028 10.1177/0269881107082955 10.1016/j.pscychresns.2009.07.006 10.1176/appi.ajp.2008.08081201 10.1371/journal.pcbi.1000100 10.1016/j.biopsych.2006.09.020 10.1002/hipo.20339 10.1080/15622970701624603 10.1016/j.neulet.2003.10.063 10.1002/hbm.20623 10.1006/nimg.2001.0978 10.1523/JNEUROSCI.19-12-05034.1999 10.1016/j.biopsych.2009.02.012 10.1016/j.jad.2008.10.013 10.1176/appi.ajp.2007.06122032 10.2307/3033543 10.1176/ajp.2007.164.5.778 10.1093/cercor/bhl149 10.1523/JNEUROSCI.3874-05.2006 10.1176/ajp.2007.164.5.823 10.1176/appi.ajp.2010.09101513 10.1093/brain/awp089 10.1016/j.neuroimage.2010.06.041 10.1371/journal.pone.0000597 10.1176/appi.ajp.158.8.1321 10.1148/radiol.2512081548 10.1001/archpsyc.61.6.564 10.1097/WCO.0b013e32832d93dd 10.1007/s00429-009-0208-6 10.1016/j.ijpsycho.2010.06.024 10.1002/mrm.1910340409 10.1002/mrm.22159 10.1523/JNEUROSCI.1929-08.2008 10.1007/s00406-007-0728-0 10.1016/j.pscychresns.2007.12.020 10.1371/journal.pcbi.0030017 10.1111/j.1749-6632.2010.05888.x 10.1196/annals.1440.011 10.1038/nrneurol.2009.198 10.1146/annurev-clinpsy-040510-143934 10.1097/WCO.0b013e32833aa567 10.1017/S0033291709990596 10.1073/pnas.1000446107 10.3109/15622975.2010.507786 10.1073/pnas.0811168106 10.1038/30918 10.1016/S1053-8119(09)70421-5 10.1523/JNEUROSCI.2874-10.2010 10.1523/JNEUROSCI.4136-10.2010 10.1001/archpsyc.1988.01800320058007 10.1016/j.biopsych.2010.08.022 10.1371/journal.pone.0008220 10.1016/j.neulet.2010.05.075 10.1176/ajp.157.1.115 10.1016/j.biopsych.2006.06.009 10.1001/archpsyc.58.7.631 10.1016/j.neuroimage.2009.12.027 10.1016/j.neulet.2009.07.015 10.1016/j.neuroimage.2009.10.003 |
ContentType | Journal Article |
Copyright | 2011 Society of Biological Psychiatry Society of Biological Psychiatry Copyright © 2011 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved. |
Copyright_xml | – notice: 2011 Society of Biological Psychiatry – notice: Society of Biological Psychiatry – notice: Copyright © 2011 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved. |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 |
DOI | 10.1016/j.biopsych.2011.05.018 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
DatabaseTitleList | MEDLINE 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 |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine Chemistry Biology |
EISSN | 1873-2402 |
EndPage | 342 |
ExternalDocumentID | 21791259 10_1016_j_biopsych_2011_05_018 S0006322311005476 1_s2_0_S0006322311005476 |
Genre | Research Support, Non-U.S. Gov't Journal Article |
GroupedDBID | --- --K --M -DZ .1- .FO .GJ .~1 0R~ 1B1 1P~ 1RT 1~. 1~5 23N 3O- 4.4 457 4G. 53G 5GY 5RE 5VS 6J9 7-5 71M 8P~ 9JM AABNK AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AATTM AAXKI AAXLA AAXUO AAYWO ABBQC ABCQJ ABCQX ABDPE ABFNM ABFRF ABIVO ABJNI ABLJU ABMAC ABMZM ABWVN ABXDB ACDAQ ACGFO ACIEU ACIUM ACNCT ACRLP ACRPL ACVFH ADBBV ADCNI ADEZE ADMUD ADNMO AEBSH AEFWE AEIPS AEKER AENEX AEUPX AEVXI AFFNX AFJKZ AFPUW AFRHN AFTJW AFXIZ AGCQF AGHFR AGQPQ AGUBO AGWIK AGYEJ AHHHB AIEXJ AIGII AIIUN AIKHN AITUG AJRQY AJUYK AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX APXCP ASPBG AVWKF AXJTR AZFZN BKOJK BLXMC BNPGV CS3 DU5 EBS EFJIC EFKBS EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HEG HMK HMO HMQ HVGLF HZ~ H~9 IHE J1W KOM L7B M29 M2V M39 M41 MO0 MOBAO N9A O-L O9- OAUVE OH0 OU- OZT P-8 P-9 P2P PC. Q38 R2- ROL RPZ SAE SCC SDF SDG SDP SEL SES SNS SPCBC SSH SSN SSZ T5K UAP UNMZH UPT UV1 WH7 WUQ XJT XOL Z5R ZCA ZGI ZKB ZXP ~G- AACTN AFCTW AFKWA AJOXV AMFUW PKN RIG AADPK AAIAV ABLVK ABYKQ AJBFU EFLBG G8K LCYCR ZA5 AAYXX AGRNS CITATION CGR CUY CVF ECM EIF NPM 7X8 |
ID | FETCH-LOGICAL-c543t-a4080e36a3cb2f5a82d059c5c918155d129ac3d2f9b20fcf289bfde903b922c3 |
IEDL.DBID | .~1 |
ISSN | 0006-3223 1873-2402 |
IngestDate | Tue Aug 05 09:48:12 EDT 2025 Mon Jul 21 05:49:35 EDT 2025 Tue Jul 01 03:38:05 EDT 2025 Thu Apr 24 23:05:44 EDT 2025 Fri Feb 23 02:26:57 EST 2024 Sun Feb 23 10:19:28 EST 2025 Tue Aug 26 16:32:00 EDT 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 4 |
Keywords | fMRI Connectome depression default-mode graph theory small-world |
Language | English |
License | https://www.elsevier.com/tdm/userlicense/1.0 Copyright © 2011 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c543t-a4080e36a3cb2f5a82d059c5c918155d129ac3d2f9b20fcf289bfde903b922c3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
PMID | 21791259 |
PQID | 879679986 |
PQPubID | 23479 |
PageCount | 9 |
ParticipantIDs | proquest_miscellaneous_879679986 pubmed_primary_21791259 crossref_citationtrail_10_1016_j_biopsych_2011_05_018 crossref_primary_10_1016_j_biopsych_2011_05_018 elsevier_sciencedirect_doi_10_1016_j_biopsych_2011_05_018 elsevier_clinicalkeyesjournals_1_s2_0_S0006322311005476 elsevier_clinicalkey_doi_10_1016_j_biopsych_2011_05_018 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2011-08-15 |
PublicationDateYYYYMMDD | 2011-08-15 |
PublicationDate_xml | – month: 08 year: 2011 text: 2011-08-15 day: 15 |
PublicationDecade | 2010 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States |
PublicationTitle | Biological psychiatry (1969) |
PublicationTitleAlternate | Biol Psychiatry |
PublicationYear | 2011 |
Publisher | Elsevier Inc |
Publisher_xml | – name: Elsevier Inc |
References | Biswal, Yetkin, Haughton, Hyde (bib35) 1995; 34 Yu, Sui, Rachakonda, He, Pearlson, Calhoun (bib29) 2011; 5 Freeman (bib51) 1977; 40 de Asis, Stern, Alexopoulos, Pan, Van Gorp, Blumberg (bib72) 2001; 158 Videbech, Ravnkilde (bib76) 2004; 161 Gilbert, Prasad, Goradia, Nutche, Keshavan, Frank (bib4) 2010; 181 Bullmore, Bassett (bib55) 2011; 7 Raichle, MacLeod, Snyder, Powers, Gusnard, Shulman (bib58) 2001; 98 Fornito, Zalesky, Bullmore (bib82) 2010; 4 Lehericy, Gerardin (bib60) 2002; 4 Lui, Parkes, Huang, Zou, Chan, Yang (bib3) 2009; 251 Honey, Sporns, Cammoun, Gigandet, Thiran, Meuli, Hagmann (bib86) 2009; 106 Sheline, Price, Yan, Mintun (bib38) 2010; 107 Mah, Zarate, Singh, Duan, Luckenbaugh, Manji, Drevets (bib5) 2007; 61 Salvador, Suckling, Coleman, Pickard, Menon, Bullmore (bib22) 2005; 15 Williams (bib40) 1988; 45 Greicius, Krasnow, Reiss, Menon (bib57) 2003; 100 Liu, Liang, Zhou, He, Hao, Song (bib33) 2008; 131 Brody, Saxena, Stoessel, Gillies, Fairbanks, Alborzian (bib9) 2001; 58 Cheng, Xu, Chai, Li, Luo, Yang (bib74) 2010; 480 Ito, Kawashima, Awata, Ono, Sato, Goto (bib78) 1996; 37 Smith, Kramer, Hermann, Ma, Dhawan, Chaly, Eidelberg (bib2) 2009; 66 Hagmann, Kurant, Gigandet, Thiran, Wedeen, Meuli, Thiran (bib23) 2007; 2 Haldane, Cunningham, Androutsos, Frangou (bib77) 2008; 22 Jia, Huang, Wu, Zhang, Lui, Zhang (bib1) 2010; 167 Mataix-Cols, Wooderson, Lawrence, Brammer, Speckens, Phillips (bib84) 2004; 61 Damoiseaux, Greicius (bib85) 2009; 213 Wu, Li, Kuang, Zhang, Lui, Huang (bib64) 2010 Hayasaka, Laurienti (bib80) 2010; 50 Bullmore, Suckling, Overmeyer, Rabe-Hesketh, Taylor, Brammer (bib54) 1999; 18 Sheline, Sanghavi, Mintun, Gado (bib71) 1999; 19 Nakamura, Hillary, Biswal (bib45) 2009; 4 Sporns (bib59) 2011; 1224 Kim, Hamilton, Gotlib (bib62) 2008; 164 Sanabria-Diaz, Melie-García, Iturria-Medina, Alemán-Gómez, Hernández-González, Valdés-Urrutia (bib83) 2010; 50 Achard, Salvador, Whitcher, Suckling, Bullmore (bib20) 2006; 26 Bassett, Bullmore, Verchinski, Mattay, Weinberger, Meyer-Lindenberg (bib49) 2008; 28 Zhang, Raichle (bib37) 2010; 6 Anand, Li, Wang, Lowe, Dzemidzic (bib11) 2009; 171 Kennedy, Konarski, Segal, Lau, Bieling, McIntyre, Mayberg (bib8) 2007; 164 Bassett, Bullmore (bib14) 2009; 22 Latora, Marchiori (bib50) 2001; 87 Guy (bib41) 1976 Buckner, Andrews-Hanna, Schacter (bib56) 2008; 1124 Veer, Beckmann, Baerends, van Tol, Ferrarini, Milles (bib12) 2009; 47 Lynall, Bassett, Kerwin, McKenna, Kitzbichler, Muller, Bullmore (bib30) 2010; 30 Frodl, Scheuerecker, Albrecht, Kleemann, Müller-Schunk, Koutsouleris (bib7) 2009; 10 Stam, de Haan, Daffertshofer, Jones, Manshanden, van Cappellen van Walsum (bib27) 2009; 132 Zalesky, Fornito, Seal, Cocchi, Westin, Bullmore (bib32) 2011; 69 He, Chen, Evans (bib21) 2007; 17 van den Heuvel, Mandl, Stam, Kahn, Hulshoff Pol (bib31) 2010; 30 Czéh, Lucassen (bib67) 2007; 257 Craddock, Holtzheimer, Hu, Mayberg (bib73) 2009; 62 Norbury, Selvaraj, Taylor, Harmer, Cowen (bib10) 2010; 40 Zalesky, Fornito, Bullmore (bib53) 2010; 53 Watts, Strogatz (bib48) 1998; 393 Ma, Li, Shu, Liu, Gong, He (bib79) 2007; 164 Bremner, Narayan, Anderson, Staib, Miller, Charney (bib66) 2000; 157 Wang, Zuo, He (bib16) 2010; 4 Supekar, Menon, Rubin, Musen, Greicius (bib26) 2008; 4 He, Evans (bib17) 2010; 23 Wang, Wang, Zang, Yang, Tang, Gong (bib52) 2009; 30 Bullmore, Sporns (bib15) 2009; 10 Leistedt, Coumans, Dumont, Lanquart, Stam, Linkowski (bib34) 2009; 30 Gonul, Kitis, Eker, Eker, Ozan, Coburn (bib68) 2011; 12 Greicius, Flores, Menon, Glover, Solvason, Kenna (bib13) 2007; 62 Tzourio-Mazoyer, Landeau, Papathanassiou, Crivello, Etard, Delcroix (bib42) 2002; 15 Maller, Daskalakis, Fitzgerald (bib75) 2007; 17 Stam (bib19) 2010; 77 Campbell, Macqueen (bib69) 2004; 29 Stam (bib24) 2004; 355 MacQueen (bib70) 2009; 34 Liu, Zhang, Zhou, Yuan, Qin, Zhuo (bib44) 2009; 462 Zalesky, Fornito, Harding, Cocchi, Yücel, Pantelis, Bullmore (bib81) 2010; 50 Lo, Wang, Chou, Wang, He, Lin (bib28) 2010; 30 Yao, Wang, Lu, Liu, Teng (bib6) 2009; 115 Gabbay, Hess, Liu, Babb, Klein, Gonen (bib61) 2007; 164 Fox, Raichle (bib36) 2007; 8 Achard, Bullmore (bib46) 2007; 3 He, Dagher, Chen, Charil, Zijdenbos, Worsley, Evans (bib47) 2009; 132 He, Chen, Evans (bib25) 2008; 28 Ferrarini, Veer, Baerends, van Tol, Renken, van der Wee (bib43) 2009; 30 Pizzagalli, Holmes, Dillon, Goetz, Birk, Bogdan (bib65) 2009; 166 Krishnan, McDonald, Escalona, Doraiswamy, Na, Husain (bib63) 1992; 49 First, Spitzer, Gibbon, Williams (bib39) 1997 Rubinov, Sporns (bib18) 2010; 52 Bremner (10.1016/j.biopsych.2011.05.018_bib66) 2000; 157 Cheng (10.1016/j.biopsych.2011.05.018_bib74) 2010; 480 He (10.1016/j.biopsych.2011.05.018_bib25) 2008; 28 Lo (10.1016/j.biopsych.2011.05.018_bib28) 2010; 30 Lynall (10.1016/j.biopsych.2011.05.018_bib30) 2010; 30 He (10.1016/j.biopsych.2011.05.018_bib21) 2007; 17 Haldane (10.1016/j.biopsych.2011.05.018_bib77) 2008; 22 Bassett (10.1016/j.biopsych.2011.05.018_bib49) 2008; 28 Nakamura (10.1016/j.biopsych.2011.05.018_bib45) 2009; 4 Bullmore (10.1016/j.biopsych.2011.05.018_bib54) 1999; 18 Craddock (10.1016/j.biopsych.2011.05.018_bib73) 2009; 62 Wang (10.1016/j.biopsych.2011.05.018_bib16) 2010; 4 Zalesky (10.1016/j.biopsych.2011.05.018_bib81) 2010; 50 Rubinov (10.1016/j.biopsych.2011.05.018_bib18) 2010; 52 Czéh (10.1016/j.biopsych.2011.05.018_bib67) 2007; 257 Wang (10.1016/j.biopsych.2011.05.018_bib52) 2009; 30 Lui (10.1016/j.biopsych.2011.05.018_bib3) 2009; 251 Stam (10.1016/j.biopsych.2011.05.018_bib19) 2010; 77 Fornito (10.1016/j.biopsych.2011.05.018_bib82) 2010; 4 Williams (10.1016/j.biopsych.2011.05.018_bib40) 1988; 45 Gabbay (10.1016/j.biopsych.2011.05.018_bib61) 2007; 164 Salvador (10.1016/j.biopsych.2011.05.018_bib22) 2005; 15 Bassett (10.1016/j.biopsych.2011.05.018_bib14) 2009; 22 First (10.1016/j.biopsych.2011.05.018_bib39) 1997 Freeman (10.1016/j.biopsych.2011.05.018_bib51) 1977; 40 Honey (10.1016/j.biopsych.2011.05.018_bib86) 2009; 106 Greicius (10.1016/j.biopsych.2011.05.018_bib57) 2003; 100 Ito (10.1016/j.biopsych.2011.05.018_bib78) 1996; 37 Sheline (10.1016/j.biopsych.2011.05.018_bib71) 1999; 19 Hagmann (10.1016/j.biopsych.2011.05.018_bib23) 2007; 2 Stam (10.1016/j.biopsych.2011.05.018_bib24) 2004; 355 Watts (10.1016/j.biopsych.2011.05.018_bib48) 1998; 393 Kim (10.1016/j.biopsych.2011.05.018_bib62) 2008; 164 Mataix-Cols (10.1016/j.biopsych.2011.05.018_bib84) 2004; 61 Yao (10.1016/j.biopsych.2011.05.018_bib6) 2009; 115 Leistedt (10.1016/j.biopsych.2011.05.018_bib34) 2009; 30 Fox (10.1016/j.biopsych.2011.05.018_bib36) 2007; 8 Tzourio-Mazoyer (10.1016/j.biopsych.2011.05.018_bib42) 2002; 15 Pizzagalli (10.1016/j.biopsych.2011.05.018_bib65) 2009; 166 Anand (10.1016/j.biopsych.2011.05.018_bib11) 2009; 171 Wu (10.1016/j.biopsych.2011.05.018_bib64) 2010 Videbech (10.1016/j.biopsych.2011.05.018_bib76) 2004; 161 Biswal (10.1016/j.biopsych.2011.05.018_bib35) 1995; 34 Achard (10.1016/j.biopsych.2011.05.018_bib20) 2006; 26 Bullmore (10.1016/j.biopsych.2011.05.018_bib15) 2009; 10 Greicius (10.1016/j.biopsych.2011.05.018_bib13) 2007; 62 Gonul (10.1016/j.biopsych.2011.05.018_bib68) 2011; 12 Ma (10.1016/j.biopsych.2011.05.018_bib79) 2007; 164 Gilbert (10.1016/j.biopsych.2011.05.018_bib4) 2010; 181 Supekar (10.1016/j.biopsych.2011.05.018_bib26) 2008; 4 Yu (10.1016/j.biopsych.2011.05.018_bib29) 2011; 5 Zalesky (10.1016/j.biopsych.2011.05.018_bib53) 2010; 53 Maller (10.1016/j.biopsych.2011.05.018_bib75) 2007; 17 Brody (10.1016/j.biopsych.2011.05.018_bib9) 2001; 58 Damoiseaux (10.1016/j.biopsych.2011.05.018_bib85) 2009; 213 Veer (10.1016/j.biopsych.2011.05.018_bib12) 2009; 47 Smith (10.1016/j.biopsych.2011.05.018_bib2) 2009; 66 MacQueen (10.1016/j.biopsych.2011.05.018_bib70) 2009; 34 Hayasaka (10.1016/j.biopsych.2011.05.018_bib80) 2010; 50 Frodl (10.1016/j.biopsych.2011.05.018_bib7) 2009; 10 Ferrarini (10.1016/j.biopsych.2011.05.018_bib43) 2009; 30 He (10.1016/j.biopsych.2011.05.018_bib47) 2009; 132 Norbury (10.1016/j.biopsych.2011.05.018_bib10) 2010; 40 Zalesky (10.1016/j.biopsych.2011.05.018_bib32) 2011; 69 Liu (10.1016/j.biopsych.2011.05.018_bib33) 2008; 131 Krishnan (10.1016/j.biopsych.2011.05.018_bib63) 1992; 49 Buckner (10.1016/j.biopsych.2011.05.018_bib56) 2008; 1124 Stam (10.1016/j.biopsych.2011.05.018_bib27) 2009; 132 Jia (10.1016/j.biopsych.2011.05.018_bib1) 2010; 167 Sanabria-Diaz (10.1016/j.biopsych.2011.05.018_bib83) 2010; 50 Mah (10.1016/j.biopsych.2011.05.018_bib5) 2007; 61 Zhang (10.1016/j.biopsych.2011.05.018_bib37) 2010; 6 Bullmore (10.1016/j.biopsych.2011.05.018_bib55) 2011; 7 Latora (10.1016/j.biopsych.2011.05.018_bib50) 2001; 87 He (10.1016/j.biopsych.2011.05.018_bib17) 2010; 23 Liu (10.1016/j.biopsych.2011.05.018_bib44) 2009; 462 Kennedy (10.1016/j.biopsych.2011.05.018_bib8) 2007; 164 Raichle (10.1016/j.biopsych.2011.05.018_bib58) 2001; 98 Guy (10.1016/j.biopsych.2011.05.018_bib41) 1976 Sporns (10.1016/j.biopsych.2011.05.018_bib59) 2011; 1224 Achard (10.1016/j.biopsych.2011.05.018_bib46) 2007; 3 van den Heuvel (10.1016/j.biopsych.2011.05.018_bib31) 2010; 30 Campbell (10.1016/j.biopsych.2011.05.018_bib69) 2004; 29 Lehericy (10.1016/j.biopsych.2011.05.018_bib60) 2002; 4 de Asis (10.1016/j.biopsych.2011.05.018_bib72) 2001; 158 Sheline (10.1016/j.biopsych.2011.05.018_bib38) 2010; 107 |
References_xml | – volume: 69 start-page: 80 year: 2011 end-page: 89 ident: bib32 article-title: Disrupted axonal fiber connectivity in schizophrenia publication-title: Biol Psychiatry – volume: 355 start-page: 25 year: 2004 end-page: 28 ident: bib24 article-title: Functional connectivity patterns of human magnetoencephalographic recordings: A “small-world” network? publication-title: Neurosci Lett – volume: 52 start-page: 1059 year: 2010 end-page: 1069 ident: bib18 article-title: Complex network measures of brain connectivity: Uses and interpretations publication-title: Neuroimage – volume: 100 start-page: 253 year: 2003 end-page: 258 ident: bib57 article-title: Functional connectivity in the resting brain: A network analysis of the default mode hypothesis publication-title: Proc Natl Acad Sci U S A – volume: 4 start-page: e8220 year: 2009 ident: bib45 article-title: Resting network plasticity following brain injury publication-title: PLoS ONE – volume: 30 start-page: 15915 year: 2010 end-page: 15926 ident: bib31 article-title: Aberrant frontal and temporal complex network structure in schizophrenia: A graph theoretical analysis publication-title: J Neurosci – volume: 17 start-page: 1023 year: 2007 end-page: 1027 ident: bib75 article-title: Hippocampal volumetrics in depression: The importance of the posterior tail publication-title: Hippocampus – volume: 115 start-page: 430 year: 2009 end-page: 438 ident: bib6 article-title: Regional homogeneity in depression and its relationship with separate depressive symptom clusters: A resting-state fMRI study publication-title: J Affect Disord – volume: 23 start-page: 341 year: 2010 end-page: 350 ident: bib17 article-title: Graph theoretical modeling of brain connectivity publication-title: Curr Opin Neurol – volume: 157 start-page: 115 year: 2000 end-page: 117 ident: bib66 article-title: Hippocampal volume reduction in major depression publication-title: Am J Psychiatry – volume: 49 start-page: 553 year: 1992 end-page: 557 ident: bib63 article-title: Magnetic resonance imaging of the caudate nuclei in depression publication-title: Arch Gen Psychiatry – volume: 4 start-page: S23 year: 2002 end-page: S30 ident: bib60 article-title: Normal functional imaging of the basal ganglia publication-title: Epileptic Disord – volume: 40 start-page: 425 year: 2010 end-page: 432 ident: bib10 article-title: Increased neural response to fear in patients recovered from depression: A 3T functional magnetic resonance imaging study publication-title: Psychol Med – volume: 61 start-page: 564 year: 2004 end-page: 576 ident: bib84 article-title: Distinct neural correlates of washing, checking, and hoarding symptom dimensions in obsessive-compulsive disorder publication-title: Arch Gen Psychiatry – volume: 4 start-page: 22 year: 2010 ident: bib82 article-title: Network scaling effects in graph analytic studies of human resting-state FMRI data publication-title: Front Syst Neurosci – volume: 26 start-page: 63 year: 2006 end-page: 72 ident: bib20 article-title: A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs publication-title: J Neurosci – volume: 37 start-page: 410 year: 1996 end-page: 414 ident: bib78 article-title: Hypoperfusion in the limbic system and prefrontal cortex in depression: SPECT with anatomic standardization technique publication-title: J Nucl Med – volume: 10 start-page: 186 year: 2009 end-page: 198 ident: bib15 article-title: Complex brain networks: Graph theoretical analysis of structural and functional systems publication-title: Nat Rev Neurosci – volume: 7 start-page: 113 year: 2011 end-page: 140 ident: bib55 article-title: Brain graphs: Graphical models of the human brain connectome publication-title: Annu Rev Clin Psychol – year: 1976 ident: bib41 article-title: ECDEU Assessment Manual for Psychopharmacology – volume: 12 start-page: 110 year: 2011 end-page: 118 ident: bib68 article-title: Association of the brain-derived neurotrophic factor Val66Met polymorphism with hippocampus volumes in drug-free depressed patients publication-title: World J Biol Psychiatry – volume: 62 start-page: 1619 year: 2009 end-page: 1628 ident: bib73 article-title: Disease state prediction from resting state functional connectivity publication-title: Magn Reson Med – volume: 28 start-page: 4756 year: 2008 end-page: 4766 ident: bib25 article-title: Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease publication-title: J Neurosci – volume: 1124 start-page: 1 year: 2008 end-page: 38 ident: bib56 article-title: The brain's default network: Anatomy, function, and relevance to disease publication-title: Ann N Y Acad Sci – volume: 47 start-page: S70 year: 2009 ident: bib12 article-title: Reduced functional connectivity in major depression: A whole brain study of multiple resting-state networks publication-title: Neuroimage – volume: 2 start-page: e597 year: 2007 ident: bib23 article-title: Mapping human whole-brain structural networks with diffusion MRI publication-title: PLoS ONE – volume: 17 start-page: 2407 year: 2007 end-page: 2419 ident: bib21 article-title: Small-world anatomical networks in the human brain revealed by cortical thickness from MRI publication-title: Cereb Cortex – volume: 30 start-page: 9477 year: 2010 end-page: 9487 ident: bib30 article-title: Functional connectivity and brain networks in schizophrenia publication-title: J Neurosci – volume: 164 start-page: 114 year: 2008 end-page: 122 ident: bib62 article-title: Reduced caudate gray matter volume in women with major depressive disorder publication-title: Psychiatry Res – volume: 30 start-page: 1511 year: 2009 end-page: 1523 ident: bib52 article-title: Parcellation-dependent small-world brain functional networks: A resting-state fMRI study publication-title: Hum Brain Mapp – volume: 66 start-page: 259 year: 2009 end-page: 266 ident: bib2 article-title: Serotonin modulation of cerebral glucose metabolism in depressed older adults publication-title: Biol Psychiatry – year: 1997 ident: bib39 article-title: Structured Clinical Interview for DSM-IV Axis I Disorders – volume: 3 start-page: e17 year: 2007 ident: bib46 article-title: Efficiency and cost of economical brain functional networks publication-title: PLoS Comput Biol – volume: 87 start-page: 198701 year: 2001 ident: bib50 article-title: Efficient behavior of small-world networks publication-title: Phys Rev Lett – volume: 106 start-page: 2035 year: 2009 end-page: 2040 ident: bib86 article-title: Predicting human resting-state functional connectivity from structural connectivity publication-title: Proc Natl Acad Sci U S A – volume: 58 start-page: 631 year: 2001 end-page: 640 ident: bib9 article-title: Regional brain metabolic changes in patients with major depression treated with either paroxetine or interpersonal therapy: Preliminary findings publication-title: Arch Gen Psychiatry – volume: 164 start-page: 1881 year: 2007 end-page: 1889 ident: bib61 article-title: Lateralized caudate metabolic abnormalities in adolescent major depressive disorder: A proton MR spectroscopy study publication-title: Am J Psychiatry – volume: 18 start-page: 32 year: 1999 end-page: 42 ident: bib54 article-title: Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain publication-title: IEEE Trans Med Imaging – volume: 5 start-page: 7 year: 2011 ident: bib29 article-title: Altered small-world brain networks in temporal lobe in patients with schizophrenia performing an auditory oddball task publication-title: Front Syst Neurosci – volume: 132 start-page: 213 year: 2009 end-page: 224 ident: bib27 article-title: Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease publication-title: Brain – volume: 131 start-page: 945 year: 2008 end-page: 961 ident: bib33 article-title: Disrupted small-world networks in schizophrenia publication-title: Brain – volume: 45 start-page: 742 year: 1988 end-page: 747 ident: bib40 article-title: A structured interview guide for the Hamilton Depression Rating Scale publication-title: Arch Gen Psychiatry – volume: 132 start-page: 3366 year: 2009 end-page: 3379 ident: bib47 article-title: Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load publication-title: Brain – volume: 181 start-page: 9 year: 2010 end-page: 14 ident: bib4 article-title: Grey matter volume reductions in the emotion network of patients with depression and coronary artery disease publication-title: Psychiatry Res – volume: 50 start-page: 970 year: 2010 end-page: 983 ident: bib81 article-title: Whole-brain anatomical networks: Does the choice of nodes matter? publication-title: Neuroimage – volume: 393 start-page: 440 year: 1998 end-page: 442 ident: bib48 article-title: Collective dynamics of “small-world” networks publication-title: Nature – volume: 1224 start-page: 109 year: 2011 end-page: 125 ident: bib59 article-title: The human connectome: A complex network publication-title: Ann N Y Acad Sci – volume: 77 start-page: 186 year: 2010 end-page: 194 ident: bib19 article-title: Characterization of anatomical and functional connectivity in the brain: A complex networks perspective publication-title: Int J Psychophysiol – volume: 50 start-page: 499 year: 2010 end-page: 508 ident: bib80 article-title: Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data publication-title: Neuroimage – volume: 164 start-page: 823 year: 2007 end-page: 826 ident: bib79 article-title: White matter abnormalities in first-episode, treatment-naive young adults with major depressive disorder publication-title: Am J Psychiatry – volume: 158 start-page: 1321 year: 2001 end-page: 1323 ident: bib72 article-title: Hippocampal and anterior cingulate activation deficits in patients with geriatric depression publication-title: Am J Psychiatry – volume: 28 start-page: 9239 year: 2008 end-page: 9248 ident: bib49 article-title: Hierarchical organization of human cortical networks in health and schizophrenia publication-title: J Neurosci – volume: 98 start-page: 676 year: 2001 end-page: 682 ident: bib58 article-title: A default mode of brain function publication-title: Proc Natl Acad Sci U S A – volume: 61 start-page: 765 year: 2007 end-page: 775 ident: bib5 article-title: Regional cerebral glucose metabolic abnormalities in bipolar II depression publication-title: Biol Psychiatry – volume: 4 start-page: 16 year: 2010 ident: bib16 article-title: Graph-based network analysis of resting-state functional MRI publication-title: Front Syst Neurosci – volume: 30 start-page: 16876 year: 2010 end-page: 16885 ident: bib28 article-title: Diffusion tensor tractography reveals abnormal topological organization in structural cortical networks in Alzheimer's disease publication-title: J Neurosci – volume: 15 start-page: 273 year: 2002 end-page: 289 ident: bib42 article-title: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain publication-title: Neuroimage – volume: 167 start-page: 1381 year: 2010 end-page: 1390 ident: bib1 article-title: High-field magnetic resonance imaging of suicidality in patients with major depressive disorder publication-title: Am J Psychiatry – volume: 6 start-page: 15 year: 2010 end-page: 28 ident: bib37 article-title: Disease and the brain's dark energy publication-title: Nat Rev Neurol – volume: 50 start-page: 1497 year: 2010 end-page: 1510 ident: bib83 article-title: Surface area and cortical thickness descriptors reveal different attributes of the structural human brain networks publication-title: Neuroimage – volume: 10 start-page: 202 year: 2009 end-page: 208 ident: bib7 article-title: Neuronal correlates of emotional processing in patients with major depression publication-title: World J Biol Psychiatry – volume: 251 start-page: 476 year: 2009 end-page: 484 ident: bib3 article-title: Depressive disorders: Focally altered cerebral perfusion measured with arterial spin-labeling MR imaging publication-title: Radiology – volume: 22 start-page: 340 year: 2009 end-page: 347 ident: bib14 article-title: Human brain networks in health and disease publication-title: Curr Opin Neurol – volume: 4 start-page: e1000100 year: 2008 ident: bib26 article-title: Network analysis of intrinsic functional brain connectivity in Alzheimer's disease publication-title: PLoS Comput Biol – volume: 53 start-page: 1197 year: 2010 end-page: 1207 ident: bib53 article-title: Network-based statistic: Identifying differences in brain networks publication-title: Neuroimage – year: 2010 ident: bib64 article-title: Abnormal regional spontaneous neural activity in treatment-refractory depression revealed by resting-state fMRI [published online ahead of print July 27] publication-title: Hum Brain Mapp – volume: 34 start-page: 343 year: 2009 end-page: 349 ident: bib70 article-title: Magnetic resonance imaging and prediction of outcome in patients with major depressive disorder publication-title: J Psychiatry Neurosci – volume: 34 start-page: 537 year: 1995 end-page: 541 ident: bib35 article-title: Functional connectivity in the motor cortex of resting human brain using echo-planar MRI publication-title: Magn Reson Med – volume: 29 start-page: 417 year: 2004 end-page: 426 ident: bib69 article-title: The role of the hippocampus in the pathophysiology of major depression publication-title: J Psychiatry Neurosci – volume: 22 start-page: 138 year: 2008 end-page: 143 ident: bib77 article-title: Structural brain correlates of response inhibition in bipolar disorder I publication-title: J Psychopharmacol – volume: 30 start-page: 2207 year: 2009 end-page: 2219 ident: bib34 article-title: Altered sleep brain functional connectivity in acutely depressed patients publication-title: Hum Brain Mapp – volume: 166 start-page: 702 year: 2009 end-page: 710 ident: bib65 article-title: Reduced caudate and nucleus accumbens response to rewards in unmedicated individuals with major depressive disorder publication-title: Am J Psychiatry – volume: 62 start-page: 429 year: 2007 end-page: 437 ident: bib13 article-title: Resting-state functional connectivity in major depression: Abnormally increased contributions from subgenual cingulate cortex and thalamus publication-title: Biol Psychiatry – volume: 257 start-page: 250 year: 2007 end-page: 260 ident: bib67 article-title: What causes the hippocampal volume decrease in depression? publication-title: Eur Arch Psychiatry Clin Neurosci – volume: 40 start-page: 35 year: 1977 end-page: 41 ident: bib51 article-title: A set of measures of centrality based on betweenness publication-title: Sociometry – volume: 164 start-page: 778 year: 2007 end-page: 788 ident: bib8 article-title: Differences in brain glucose metabolism between responders to CBT and venlafaxine in a 16-week randomized controlled trial publication-title: Am J Psychiatry – volume: 462 start-page: 183 year: 2009 end-page: 187 ident: bib44 article-title: Partial correlation investigation on the default mode network involved in acupuncture: An fMRI study publication-title: Neurosci Lett – volume: 213 start-page: 525 year: 2009 end-page: 533 ident: bib85 article-title: Greater than the sum of its parts: A review of studies combining structural connectivity and resting-state functional connectivity publication-title: Brain Struct Funct – volume: 30 start-page: 2220 year: 2009 end-page: 2231 ident: bib43 article-title: Hierarchical functional modularity in the resting-state human brain publication-title: Hum Brain Mapp – volume: 19 start-page: 5034 year: 1999 end-page: 5043 ident: bib71 article-title: Depression duration but not age predicts hippocampal volume loss in medically healthy women with recurrent major depression publication-title: J Neurosci – volume: 480 start-page: 30 year: 2010 end-page: 34 ident: bib74 article-title: Brain volume alteration and the correlations with the clinical characteristics in drug-naïve first-episode MDD patients: A voxel-based morphometry study publication-title: Neurosci Lett – volume: 15 start-page: 1332 year: 2005 end-page: 1342 ident: bib22 article-title: Neurophysiological architecture of functional magnetic resonance images of human brain publication-title: Cereb Cortex – volume: 161 start-page: 1957 year: 2004 end-page: 1966 ident: bib76 article-title: Hippocampal volume and depression: A meta-analysis of MRI studies publication-title: Am J Psychiatry – volume: 8 start-page: 700 year: 2007 end-page: 711 ident: bib36 article-title: Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging publication-title: Nat Rev Neurosci – volume: 107 start-page: 11020 year: 2010 end-page: 11025 ident: bib38 article-title: Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus publication-title: Proc Natl Acad Sci U S A – volume: 171 start-page: 189 year: 2009 end-page: 198 ident: bib11 article-title: Resting state corticolimbic connectivity abnormalities in unmedicated bipolar disorder and unipolar depression publication-title: Psychiatry Res – volume: 18 start-page: 32 year: 1999 ident: 10.1016/j.biopsych.2011.05.018_bib54 article-title: Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain publication-title: IEEE Trans Med Imaging doi: 10.1109/42.750253 – volume: 29 start-page: 417 year: 2004 ident: 10.1016/j.biopsych.2011.05.018_bib69 article-title: The role of the hippocampus in the pathophysiology of major depression publication-title: J Psychiatry Neurosci – volume: 30 start-page: 9477 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib30 article-title: Functional connectivity and brain networks in schizophrenia publication-title: J Neurosci doi: 10.1523/JNEUROSCI.0333-10.2010 – volume: 30 start-page: 2207 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib34 article-title: Altered sleep brain functional connectivity in acutely depressed patients publication-title: Hum Brain Mapp doi: 10.1002/hbm.20662 – volume: 100 start-page: 253 year: 2003 ident: 10.1016/j.biopsych.2011.05.018_bib57 article-title: Functional connectivity in the resting brain: A network analysis of the default mode hypothesis publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.0135058100 – volume: 10 start-page: 186 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib15 article-title: Complex brain networks: Graph theoretical analysis of structural and functional systems publication-title: Nat Rev Neurosci doi: 10.1038/nrn2575 – volume: 132 start-page: 213 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib27 article-title: Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease publication-title: Brain doi: 10.1093/brain/awn262 – volume: 34 start-page: 343 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib70 article-title: Magnetic resonance imaging and prediction of outcome in patients with major depressive disorder publication-title: J Psychiatry Neurosci – volume: 15 start-page: 1332 year: 2005 ident: 10.1016/j.biopsych.2011.05.018_bib22 article-title: Neurophysiological architecture of functional magnetic resonance images of human brain publication-title: Cereb Cortex doi: 10.1093/cercor/bhi016 – volume: 28 start-page: 4756 year: 2008 ident: 10.1016/j.biopsych.2011.05.018_bib25 article-title: Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease publication-title: J Neurosci doi: 10.1523/JNEUROSCI.0141-08.2008 – volume: 161 start-page: 1957 year: 2004 ident: 10.1016/j.biopsych.2011.05.018_bib76 article-title: Hippocampal volume and depression: A meta-analysis of MRI studies publication-title: Am J Psychiatry doi: 10.1176/appi.ajp.161.11.1957 – volume: 30 start-page: 2220 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib43 article-title: Hierarchical functional modularity in the resting-state human brain publication-title: Hum Brain Mapp doi: 10.1002/hbm.20663 – volume: 49 start-page: 553 year: 1992 ident: 10.1016/j.biopsych.2011.05.018_bib63 article-title: Magnetic resonance imaging of the caudate nuclei in depression publication-title: Arch Gen Psychiatry doi: 10.1001/archpsyc.1992.01820070047007 – volume: 50 start-page: 499 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib80 article-title: Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.12.051 – volume: 8 start-page: 700 year: 2007 ident: 10.1016/j.biopsych.2011.05.018_bib36 article-title: Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging publication-title: Nat Rev Neurosci doi: 10.1038/nrn2201 – volume: 171 start-page: 189 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib11 article-title: Resting state corticolimbic connectivity abnormalities in unmedicated bipolar disorder and unipolar depression publication-title: Psychiatry Res doi: 10.1016/j.pscychresns.2008.03.012 – volume: 131 start-page: 945 year: 2008 ident: 10.1016/j.biopsych.2011.05.018_bib33 article-title: Disrupted small-world networks in schizophrenia publication-title: Brain doi: 10.1093/brain/awn018 – volume: 98 start-page: 676 year: 2001 ident: 10.1016/j.biopsych.2011.05.018_bib58 article-title: A default mode of brain function publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.98.2.676 – volume: 87 start-page: 198701 year: 2001 ident: 10.1016/j.biopsych.2011.05.018_bib50 article-title: Efficient behavior of small-world networks publication-title: Phys Rev Lett doi: 10.1103/PhysRevLett.87.198701 – volume: 50 start-page: 1497 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib83 article-title: Surface area and cortical thickness descriptors reveal different attributes of the structural human brain networks publication-title: Neuroimage doi: 10.1016/j.neuroimage.2010.01.028 – volume: 22 start-page: 138 year: 2008 ident: 10.1016/j.biopsych.2011.05.018_bib77 article-title: Structural brain correlates of response inhibition in bipolar disorder I publication-title: J Psychopharmacol doi: 10.1177/0269881107082955 – volume: 181 start-page: 9 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib4 article-title: Grey matter volume reductions in the emotion network of patients with depression and coronary artery disease publication-title: Psychiatry Res doi: 10.1016/j.pscychresns.2009.07.006 – volume: 166 start-page: 702 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib65 article-title: Reduced caudate and nucleus accumbens response to rewards in unmedicated individuals with major depressive disorder publication-title: Am J Psychiatry doi: 10.1176/appi.ajp.2008.08081201 – volume: 4 start-page: e1000100 year: 2008 ident: 10.1016/j.biopsych.2011.05.018_bib26 article-title: Network analysis of intrinsic functional brain connectivity in Alzheimer's disease publication-title: PLoS Comput Biol doi: 10.1371/journal.pcbi.1000100 – volume: 62 start-page: 429 year: 2007 ident: 10.1016/j.biopsych.2011.05.018_bib13 article-title: Resting-state functional connectivity in major depression: Abnormally increased contributions from subgenual cingulate cortex and thalamus publication-title: Biol Psychiatry doi: 10.1016/j.biopsych.2006.09.020 – volume: 17 start-page: 1023 year: 2007 ident: 10.1016/j.biopsych.2011.05.018_bib75 article-title: Hippocampal volumetrics in depression: The importance of the posterior tail publication-title: Hippocampus doi: 10.1002/hipo.20339 – volume: 10 start-page: 202 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib7 article-title: Neuronal correlates of emotional processing in patients with major depression publication-title: World J Biol Psychiatry doi: 10.1080/15622970701624603 – volume: 355 start-page: 25 year: 2004 ident: 10.1016/j.biopsych.2011.05.018_bib24 article-title: Functional connectivity patterns of human magnetoencephalographic recordings: A “small-world” network? publication-title: Neurosci Lett doi: 10.1016/j.neulet.2003.10.063 – volume: 30 start-page: 1511 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib52 article-title: Parcellation-dependent small-world brain functional networks: A resting-state fMRI study publication-title: Hum Brain Mapp doi: 10.1002/hbm.20623 – volume: 37 start-page: 410 year: 1996 ident: 10.1016/j.biopsych.2011.05.018_bib78 article-title: Hypoperfusion in the limbic system and prefrontal cortex in depression: SPECT with anatomic standardization technique publication-title: J Nucl Med – volume: 15 start-page: 273 year: 2002 ident: 10.1016/j.biopsych.2011.05.018_bib42 article-title: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain publication-title: Neuroimage doi: 10.1006/nimg.2001.0978 – volume: 19 start-page: 5034 year: 1999 ident: 10.1016/j.biopsych.2011.05.018_bib71 article-title: Depression duration but not age predicts hippocampal volume loss in medically healthy women with recurrent major depression publication-title: J Neurosci doi: 10.1523/JNEUROSCI.19-12-05034.1999 – volume: 66 start-page: 259 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib2 article-title: Serotonin modulation of cerebral glucose metabolism in depressed older adults publication-title: Biol Psychiatry doi: 10.1016/j.biopsych.2009.02.012 – volume: 115 start-page: 430 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib6 article-title: Regional homogeneity in depression and its relationship with separate depressive symptom clusters: A resting-state fMRI study publication-title: J Affect Disord doi: 10.1016/j.jad.2008.10.013 – volume: 164 start-page: 1881 year: 2007 ident: 10.1016/j.biopsych.2011.05.018_bib61 article-title: Lateralized caudate metabolic abnormalities in adolescent major depressive disorder: A proton MR spectroscopy study publication-title: Am J Psychiatry doi: 10.1176/appi.ajp.2007.06122032 – volume: 40 start-page: 35 year: 1977 ident: 10.1016/j.biopsych.2011.05.018_bib51 article-title: A set of measures of centrality based on betweenness publication-title: Sociometry doi: 10.2307/3033543 – volume: 164 start-page: 778 year: 2007 ident: 10.1016/j.biopsych.2011.05.018_bib8 article-title: Differences in brain glucose metabolism between responders to CBT and venlafaxine in a 16-week randomized controlled trial publication-title: Am J Psychiatry doi: 10.1176/ajp.2007.164.5.778 – volume: 17 start-page: 2407 year: 2007 ident: 10.1016/j.biopsych.2011.05.018_bib21 article-title: Small-world anatomical networks in the human brain revealed by cortical thickness from MRI publication-title: Cereb Cortex doi: 10.1093/cercor/bhl149 – volume: 26 start-page: 63 year: 2006 ident: 10.1016/j.biopsych.2011.05.018_bib20 article-title: A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs publication-title: J Neurosci doi: 10.1523/JNEUROSCI.3874-05.2006 – volume: 164 start-page: 823 year: 2007 ident: 10.1016/j.biopsych.2011.05.018_bib79 article-title: White matter abnormalities in first-episode, treatment-naive young adults with major depressive disorder publication-title: Am J Psychiatry doi: 10.1176/ajp.2007.164.5.823 – volume: 167 start-page: 1381 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib1 article-title: High-field magnetic resonance imaging of suicidality in patients with major depressive disorder publication-title: Am J Psychiatry doi: 10.1176/appi.ajp.2010.09101513 – volume: 132 start-page: 3366 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib47 article-title: Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load publication-title: Brain doi: 10.1093/brain/awp089 – volume: 53 start-page: 1197 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib53 article-title: Network-based statistic: Identifying differences in brain networks publication-title: Neuroimage doi: 10.1016/j.neuroimage.2010.06.041 – volume: 2 start-page: e597 year: 2007 ident: 10.1016/j.biopsych.2011.05.018_bib23 article-title: Mapping human whole-brain structural networks with diffusion MRI publication-title: PLoS ONE doi: 10.1371/journal.pone.0000597 – year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib64 article-title: Abnormal regional spontaneous neural activity in treatment-refractory depression revealed by resting-state fMRI [published online ahead of print July 27] publication-title: Hum Brain Mapp – volume: 158 start-page: 1321 year: 2001 ident: 10.1016/j.biopsych.2011.05.018_bib72 article-title: Hippocampal and anterior cingulate activation deficits in patients with geriatric depression publication-title: Am J Psychiatry doi: 10.1176/appi.ajp.158.8.1321 – volume: 251 start-page: 476 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib3 article-title: Depressive disorders: Focally altered cerebral perfusion measured with arterial spin-labeling MR imaging publication-title: Radiology doi: 10.1148/radiol.2512081548 – volume: 61 start-page: 564 year: 2004 ident: 10.1016/j.biopsych.2011.05.018_bib84 article-title: Distinct neural correlates of washing, checking, and hoarding symptom dimensions in obsessive-compulsive disorder publication-title: Arch Gen Psychiatry doi: 10.1001/archpsyc.61.6.564 – volume: 22 start-page: 340 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib14 article-title: Human brain networks in health and disease publication-title: Curr Opin Neurol doi: 10.1097/WCO.0b013e32832d93dd – volume: 213 start-page: 525 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib85 article-title: Greater than the sum of its parts: A review of studies combining structural connectivity and resting-state functional connectivity publication-title: Brain Struct Funct doi: 10.1007/s00429-009-0208-6 – volume: 77 start-page: 186 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib19 article-title: Characterization of anatomical and functional connectivity in the brain: A complex networks perspective publication-title: Int J Psychophysiol doi: 10.1016/j.ijpsycho.2010.06.024 – volume: 34 start-page: 537 year: 1995 ident: 10.1016/j.biopsych.2011.05.018_bib35 article-title: Functional connectivity in the motor cortex of resting human brain using echo-planar MRI publication-title: Magn Reson Med doi: 10.1002/mrm.1910340409 – year: 1997 ident: 10.1016/j.biopsych.2011.05.018_bib39 – volume: 62 start-page: 1619 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib73 article-title: Disease state prediction from resting state functional connectivity publication-title: Magn Reson Med doi: 10.1002/mrm.22159 – volume: 28 start-page: 9239 year: 2008 ident: 10.1016/j.biopsych.2011.05.018_bib49 article-title: Hierarchical organization of human cortical networks in health and schizophrenia publication-title: J Neurosci doi: 10.1523/JNEUROSCI.1929-08.2008 – volume: 257 start-page: 250 year: 2007 ident: 10.1016/j.biopsych.2011.05.018_bib67 article-title: What causes the hippocampal volume decrease in depression? publication-title: Eur Arch Psychiatry Clin Neurosci doi: 10.1007/s00406-007-0728-0 – volume: 164 start-page: 114 year: 2008 ident: 10.1016/j.biopsych.2011.05.018_bib62 article-title: Reduced caudate gray matter volume in women with major depressive disorder publication-title: Psychiatry Res doi: 10.1016/j.pscychresns.2007.12.020 – volume: 3 start-page: e17 year: 2007 ident: 10.1016/j.biopsych.2011.05.018_bib46 article-title: Efficiency and cost of economical brain functional networks publication-title: PLoS Comput Biol doi: 10.1371/journal.pcbi.0030017 – volume: 1224 start-page: 109 year: 2011 ident: 10.1016/j.biopsych.2011.05.018_bib59 article-title: The human connectome: A complex network publication-title: Ann N Y Acad Sci doi: 10.1111/j.1749-6632.2010.05888.x – volume: 1124 start-page: 1 year: 2008 ident: 10.1016/j.biopsych.2011.05.018_bib56 article-title: The brain's default network: Anatomy, function, and relevance to disease publication-title: Ann N Y Acad Sci doi: 10.1196/annals.1440.011 – volume: 6 start-page: 15 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib37 article-title: Disease and the brain's dark energy publication-title: Nat Rev Neurol doi: 10.1038/nrneurol.2009.198 – volume: 7 start-page: 113 year: 2011 ident: 10.1016/j.biopsych.2011.05.018_bib55 article-title: Brain graphs: Graphical models of the human brain connectome publication-title: Annu Rev Clin Psychol doi: 10.1146/annurev-clinpsy-040510-143934 – volume: 23 start-page: 341 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib17 article-title: Graph theoretical modeling of brain connectivity publication-title: Curr Opin Neurol doi: 10.1097/WCO.0b013e32833aa567 – volume: 40 start-page: 425 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib10 article-title: Increased neural response to fear in patients recovered from depression: A 3T functional magnetic resonance imaging study publication-title: Psychol Med doi: 10.1017/S0033291709990596 – volume: 107 start-page: 11020 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib38 article-title: Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1000446107 – volume: 12 start-page: 110 year: 2011 ident: 10.1016/j.biopsych.2011.05.018_bib68 article-title: Association of the brain-derived neurotrophic factor Val66Met polymorphism with hippocampus volumes in drug-free depressed patients publication-title: World J Biol Psychiatry doi: 10.3109/15622975.2010.507786 – volume: 106 start-page: 2035 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib86 article-title: Predicting human resting-state functional connectivity from structural connectivity publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.0811168106 – volume: 5 start-page: 7 year: 2011 ident: 10.1016/j.biopsych.2011.05.018_bib29 article-title: Altered small-world brain networks in temporal lobe in patients with schizophrenia performing an auditory oddball task publication-title: Front Syst Neurosci – volume: 4 start-page: 22 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib82 article-title: Network scaling effects in graph analytic studies of human resting-state FMRI data publication-title: Front Syst Neurosci – volume: 393 start-page: 440 year: 1998 ident: 10.1016/j.biopsych.2011.05.018_bib48 article-title: Collective dynamics of “small-world” networks publication-title: Nature doi: 10.1038/30918 – volume: 47 start-page: S70 issue: suppl 1 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib12 article-title: Reduced functional connectivity in major depression: A whole brain study of multiple resting-state networks publication-title: Neuroimage doi: 10.1016/S1053-8119(09)70421-5 – volume: 30 start-page: 15915 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib31 article-title: Aberrant frontal and temporal complex network structure in schizophrenia: A graph theoretical analysis publication-title: J Neurosci doi: 10.1523/JNEUROSCI.2874-10.2010 – volume: 4 start-page: 16 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib16 article-title: Graph-based network analysis of resting-state functional MRI publication-title: Front Syst Neurosci – volume: 30 start-page: 16876 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib28 article-title: Diffusion tensor tractography reveals abnormal topological organization in structural cortical networks in Alzheimer's disease publication-title: J Neurosci doi: 10.1523/JNEUROSCI.4136-10.2010 – volume: 45 start-page: 742 year: 1988 ident: 10.1016/j.biopsych.2011.05.018_bib40 article-title: A structured interview guide for the Hamilton Depression Rating Scale publication-title: Arch Gen Psychiatry doi: 10.1001/archpsyc.1988.01800320058007 – volume: 69 start-page: 80 year: 2011 ident: 10.1016/j.biopsych.2011.05.018_bib32 article-title: Disrupted axonal fiber connectivity in schizophrenia publication-title: Biol Psychiatry doi: 10.1016/j.biopsych.2010.08.022 – volume: 4 start-page: e8220 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib45 article-title: Resting network plasticity following brain injury publication-title: PLoS ONE doi: 10.1371/journal.pone.0008220 – volume: 480 start-page: 30 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib74 article-title: Brain volume alteration and the correlations with the clinical characteristics in drug-naïve first-episode MDD patients: A voxel-based morphometry study publication-title: Neurosci Lett doi: 10.1016/j.neulet.2010.05.075 – year: 1976 ident: 10.1016/j.biopsych.2011.05.018_bib41 – volume: 157 start-page: 115 year: 2000 ident: 10.1016/j.biopsych.2011.05.018_bib66 article-title: Hippocampal volume reduction in major depression publication-title: Am J Psychiatry doi: 10.1176/ajp.157.1.115 – volume: 61 start-page: 765 year: 2007 ident: 10.1016/j.biopsych.2011.05.018_bib5 article-title: Regional cerebral glucose metabolic abnormalities in bipolar II depression publication-title: Biol Psychiatry doi: 10.1016/j.biopsych.2006.06.009 – volume: 58 start-page: 631 year: 2001 ident: 10.1016/j.biopsych.2011.05.018_bib9 article-title: Regional brain metabolic changes in patients with major depression treated with either paroxetine or interpersonal therapy: Preliminary findings publication-title: Arch Gen Psychiatry doi: 10.1001/archpsyc.58.7.631 – volume: 4 start-page: S23 issue: suppl 3 year: 2002 ident: 10.1016/j.biopsych.2011.05.018_bib60 article-title: Normal functional imaging of the basal ganglia publication-title: Epileptic Disord – volume: 50 start-page: 970 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib81 article-title: Whole-brain anatomical networks: Does the choice of nodes matter? publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.12.027 – volume: 462 start-page: 183 year: 2009 ident: 10.1016/j.biopsych.2011.05.018_bib44 article-title: Partial correlation investigation on the default mode network involved in acupuncture: An fMRI study publication-title: Neurosci Lett doi: 10.1016/j.neulet.2009.07.015 – volume: 52 start-page: 1059 year: 2010 ident: 10.1016/j.biopsych.2011.05.018_bib18 article-title: Complex network measures of brain connectivity: Uses and interpretations publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.10.003 |
SSID | ssj0007221 |
Score | 2.5809495 |
Snippet | Neuroimaging studies have shown that major depressive disorder (MDD) is accompanied by structural and functional abnormalities in specific brain regions and... Background Neuroimaging studies have shown that major depressive disorder (MDD) is accompanied by structural and functional abnormalities in specific brain... |
SourceID | proquest pubmed crossref elsevier |
SourceType | Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 334 |
SubjectTerms | Adolescent Adult Aged Aged, 80 and over Area Under Curve Brain - blood supply Brain - physiopathology Brain Mapping Connectome default-mode depression Depressive Disorder, Major - pathology Female fMRI graph theory Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging - methods Male Middle Aged Nerve Net - blood supply Nerve Net - physiopathology Neural Pathways - blood supply Neural Pathways - physiopathology Oxygen - blood Psychiatry small-world Statistics as Topic Young Adult |
Title | Disrupted Brain Connectivity Networks in Drug-Naive, First-Episode Major Depressive Disorder |
URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0006322311005476 https://www.clinicalkey.es/playcontent/1-s2.0-S0006322311005476 https://dx.doi.org/10.1016/j.biopsych.2011.05.018 https://www.ncbi.nlm.nih.gov/pubmed/21791259 https://www.proquest.com/docview/879679986 |
Volume | 70 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3da9swED9KR7e9jC37SrsVPeyxbhJ9-OOxTRqyjuSphT4UhCzJw6HEIU4Gfenf3pMtpSujdGxPBluyje50v5N09zuAb5TbAoEmcfx2LOIuTSbXykQs1ZwzI4rUuH3I6SyeXPLzK3G1A8OQC-PCKr3tb216Y639nZ4fzd6yLF2OL8IropsjPRM8cbTbHC-o08d3D2EeCaW-al4cuda_ZQnPj_OyaoKKPZWnY_BMnwKopxzQBojGb-GN9yDJSfuT72DHLjqw19aUvO3Aq2Eo4daBl1N_cv4erkdlvdos0b8kp64qBGkiXHRbO4LM2mDwmuCD0WrzM5optIJHZFyicxidLcu6MpZM1bxakZGPnf1lSaDu_AAX47OL4STylRUiLThbR4qjo2hZrJjOaSFUSg26WVroDAFfCINOgNLM0CLLab_QBa7K8sLYrM_yjFLNPsLuolrYz0C4SmxmB4iE2nKB7awaUJsJUxhhDY27IMJoSu1Zx13xixsZwsvmMkhBOinIvpAohS70tv2WLe_Gsz2SICwZskrRDkqEhn_raWs_nWs5kDWVffmHynUh2_Z8pLV_9VUSNEqiWrhzGrWw1aaWaZLFCS6D8fWfWk3bDgF1bLK4Yt3_jw8fwOuwMT4QX2B3vdrYr-hZrfPDZuocwouT7z8ms3spXiK0 |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9swDCa6FFt7GbbslT112HFeEj38OHZJg3RtfMqAHgYIsiQXDoY4iJMC_felYinYUBQdtqtt2oZI8aMk8iPAZ8ptiUCTOH47FnFXJlNoZSKWas6ZEWVq3D7kLI-nP_j3S3F5AKNQC-PSKr3vb336zlv7K30_mv1VVbkaX4RXRDdHeiZ4Ej-CQ8dOJTpweHJ2Ps33Djmh1DfOiyMn8Fuh8OJrUdW7vGLP5ulIPNP7MOq-GHSHRZNn8NQHkeSk_c_ncGCXXXjctpW86cLRKHRx68KTmT88fwE_x1Wz3q4wxCTfXGMIskty0W37CJK3-eANwRvj9fYqyhU6wi9kUmF8GJ2uqqY2lszUol6TsU-fvbYksHe-hPnkdD6aRr65QqQFZ5tIcYwVLYsV0wUthUqpwUhLC50h5gthMA5QmhlaZgUdlLrEhVlRGpsNWJFRqtkr6CzrpX0DhKvEZnaIYKgtF_icVUNqM2FKI6yhcQ9EGE2pPfG463_xS4YMs4UMWpBOC3IgJGqhB_293Kql3nhQIgnKkqGwFF2hRHT4N0nb-BndyKFsqBzIO1bXg2wv-Yfh_tVXSbAoiWbhjmrU0tbbRqZJFie4EsbXv24tbT8E1BHK4qL17X98-BMcTeezC3lxlp-_g-OwTz4U76GzWW_tBwy0NsVHP5FuAQjwJWU |
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=Disrupted+Brain+Connectivity+Networks+in+Drug-Naive%2C+First-Episode+Major+Depressive+Disorder&rft.jtitle=Biological+psychiatry+%281969%29&rft.au=Zhang%2C+Junran&rft.au=Wang%2C+Jinhui&rft.au=Wu%2C+Qizhu&rft.au=Kuang%2C+Weihong&rft.date=2011-08-15&rft.pub=Elsevier+Inc&rft.issn=0006-3223&rft.volume=70&rft.issue=4&rft.spage=334&rft.epage=342&rft_id=info:doi/10.1016%2Fj.biopsych.2011.05.018&rft.externalDocID=S0006322311005476 |
thumbnail_m | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fcdn.clinicalkey.com%2Fck-thumbnails%2F00063223%2FS0006322311X00148%2Fcov150h.gif |