Three-dimensional surface deformation-based shape analysis of hippocampus and caudate nucleus in children with fetal alcohol spectrum disorders
Surface deformation‐based analysis was used to assess local shape variations in the hippocampi and caudate nuclei of children with fetal alcohol spectrum disorders. High‐resolution structural magnetic resonance imaging images were acquired for 31 children (19 controls and 12 children diagnosed with...
Saved in:
| Published in | Human brain mapping Vol. 35; no. 2; pp. 659 - 672 |
|---|---|
| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York, NY
Blackwell Publishing Ltd
01.02.2014
Wiley-Liss John Wiley & Sons, Inc John Wiley and Sons Inc |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Surface deformation‐based analysis was used to assess local shape variations in the hippocampi and caudate nuclei of children with fetal alcohol spectrum disorders. High‐resolution structural magnetic resonance imaging images were acquired for 31 children (19 controls and 12 children diagnosed with fetal alcohol syndrome/partial FAS). Hippocampi and caudate nuclei were manually segmented, and surface meshes were reconstructed. An iterative closest point algorithm was used to register the template of one control subject to all other shapes in order to capture the true geometry of the shape with a fixed number of landmark points. A point distribution model was used to quantify the shape variations in terms of a change in co‐ordinate positions. Using the localized Hotelling T2 method, regions of significant shape variations between the control and exposed subjects were identified and mapped onto the mean shapes. Binary masks of hippocampi and caudate nuclei were generated from the segmented volumes of each brain. These were used to compute the volumes and for further statistical analysis. The Mann–Whitney test was performed to predict volume differences between the groups. Although the exposed and control subjects did not differ significantly in their volumes, the shape analysis showed the hippocampus to be more deformed at the head and tail regions in the alcohol‐exposed children. Between‐group differences in caudate nucleus morphology were dispersed across the tail and head regions. Correlation analysis showed associations between the degree of compression and the level of alcohol exposure. These findings demonstrate that shape analysis using three‐dimensional surface measures is sensitive to fetal alcohol exposure and provides additional information than volumetric measures alone. Hum Brain Mapp 35:659–672, 2014. © 2012 Wiley Periodicals, Inc. |
|---|---|
| AbstractList | Surface deformation-based analysis was used to assess local shape variations in the hippocampi and caudate nuclei of children with fetal alcohol spectrum disorders. High-resolution structural magnetic resonance imaging images were acquired for 31 children (19 controls and 12 children diagnosed with fetal alcohol syndrome/partial FAS). Hippocampi and caudate nuclei were manually segmented, and surface meshes were reconstructed. An iterative closest point algorithm was used to register the template of one control subject to all other shapes in order to capture the true geometry of the shape with a fixed number of landmark points. A point distribution model was used to quantify the shape variations in terms of a change in co-ordinate positions. Using the localized Hotelling T(2) method, regions of significant shape variations between the control and exposed subjects were identified and mapped onto the mean shapes. Binary masks of hippocampi and caudate nuclei were generated from the segmented volumes of each brain. These were used to compute the volumes and for further statistical analysis. The Mann-Whitney test was performed to predict volume differences between the groups. Although the exposed and control subjects did not differ significantly in their volumes, the shape analysis showed the hippocampus to be more deformed at the head and tail regions in the alcohol-exposed children. Between-group differences in caudate nucleus morphology were dispersed across the tail and head regions. Correlation analysis showed associations between the degree of compression and the level of alcohol exposure. These findings demonstrate that shape analysis using three-dimensional surface measures is sensitive to fetal alcohol exposure and provides additional information than volumetric measures alone. Surface deformation‐based analysis was used to assess local shape variations in the hippocampi and caudate nuclei of children with fetal alcohol spectrum disorders. High‐resolution structural magnetic resonance imaging images were acquired for 31 children (19 controls and 12 children diagnosed with fetal alcohol syndrome/partial FAS). Hippocampi and caudate nuclei were manually segmented, and surface meshes were reconstructed. An iterative closest point algorithm was used to register the template of one control subject to all other shapes in order to capture the true geometry of the shape with a fixed number of landmark points. A point distribution model was used to quantify the shape variations in terms of a change in co‐ordinate positions. Using the localized Hotelling T 2 method, regions of significant shape variations between the control and exposed subjects were identified and mapped onto the mean shapes. Binary masks of hippocampi and caudate nuclei were generated from the segmented volumes of each brain. These were used to compute the volumes and for further statistical analysis. The Mann–Whitney test was performed to predict volume differences between the groups. Although the exposed and control subjects did not differ significantly in their volumes, the shape analysis showed the hippocampus to be more deformed at the head and tail regions in the alcohol‐exposed children. Between‐group differences in caudate nucleus morphology were dispersed across the tail and head regions. Correlation analysis showed associations between the degree of compression and the level of alcohol exposure. These findings demonstrate that shape analysis using three‐dimensional surface measures is sensitive to fetal alcohol exposure and provides additional information than volumetric measures alone. Hum Brain Mapp 35:659–672, 2014. © 2012 Wiley Periodicals, Inc. Surface deformation‐based analysis was used to assess local shape variations in the hippocampi and caudate nuclei of children with fetal alcohol spectrum disorders. High‐resolution structural magnetic resonance imaging images were acquired for 31 children (19 controls and 12 children diagnosed with fetal alcohol syndrome/partial FAS). Hippocampi and caudate nuclei were manually segmented, and surface meshes were reconstructed. An iterative closest point algorithm was used to register the template of one control subject to all other shapes in order to capture the true geometry of the shape with a fixed number of landmark points. A point distribution model was used to quantify the shape variations in terms of a change in co‐ordinate positions. Using the localized Hotelling T 2 method, regions of significant shape variations between the control and exposed subjects were identified and mapped onto the mean shapes. Binary masks of hippocampi and caudate nuclei were generated from the segmented volumes of each brain. These were used to compute the volumes and for further statistical analysis. The Mann–Whitney test was performed to predict volume differences between the groups. Although the exposed and control subjects did not differ significantly in their volumes, the shape analysis showed the hippocampus to be more deformed at the head and tail regions in the alcohol‐exposed children. Between‐group differences in caudate nucleus morphology were dispersed across the tail and head regions. Correlation analysis showed associations between the degree of compression and the level of alcohol exposure. These findings demonstrate that shape analysis using three‐dimensional surface measures is sensitive to fetal alcohol exposure and provides additional information than volumetric measures alone. Hum Brain Mapp 35:659–672, 2014. © 2012 Wiley Periodicals, Inc. Surface deformation-based analysis was used to assess local shape variations in the hippocampi and caudate nuclei of children with fetal alcohol spectrum disorders. High-resolution structural magnetic resonance imaging images were acquired for 31 children (19 controls and 12 children diagnosed with fetal alcohol syndrome/partial FAS). Hippocampi and caudate nuclei were manually segmented, and surface meshes were reconstructed. An iterative closest point algorithm was used to register the template of one control subject to all other shapes in order to capture the true geometry of the shape with a fixed number of landmark points. A point distribution model was used to quantify the shape variations in terms of a change in co-ordinate positions. Using the localized Hotelling T2 method, regions of significant shape variations between the control and exposed subjects were identified and mapped onto the mean shapes. Binary masks of hippocampi and caudate nuclei were generated from the segmented volumes of each brain. These were used to compute the volumes and for further statistical analysis. The Mann-Whitney test was performed to predict volume differences between the groups. Although the exposed and control subjects did not differ significantly in their volumes, the shape analysis showed the hippocampus to be more deformed at the head and tail regions in the alcohol-exposed children. Between-group differences in caudate nucleus morphology were dispersed across the tail and head regions. Correlation analysis showed associations between the degree of compression and the level of alcohol exposure. These findings demonstrate that shape analysis using three-dimensional surface measures is sensitive to fetal alcohol exposure and provides additional information than volumetric measures alone. Hum Brain Mapp 35:659-672, 2014. © 2012 Wiley Periodicals, Inc. [PUBLICATION ABSTRACT] Surface deformation-based analysis was used to assess local shape variations in the hippocampi and caudate nuclei of children with fetal alcohol spectrum disorders. High-resolution structural magnetic resonance imaging images were acquired for 31 children (19 controls and 12 children diagnosed with fetal alcohol syndrome/partial FAS). Hippocampi and caudate nuclei were manually segmented, and surface meshes were reconstructed. An iterative closest point algorithm was used to register the template of one control subject to all other shapes in order to capture the true geometry of the shape with a fixed number of landmark points. A point distribution model was used to quantify the shape variations in terms of a change in co-ordinate positions. Using the localized Hotelling T(2) method, regions of significant shape variations between the control and exposed subjects were identified and mapped onto the mean shapes. Binary masks of hippocampi and caudate nuclei were generated from the segmented volumes of each brain. These were used to compute the volumes and for further statistical analysis. The Mann-Whitney test was performed to predict volume differences between the groups. Although the exposed and control subjects did not differ significantly in their volumes, the shape analysis showed the hippocampus to be more deformed at the head and tail regions in the alcohol-exposed children. Between-group differences in caudate nucleus morphology were dispersed across the tail and head regions. Correlation analysis showed associations between the degree of compression and the level of alcohol exposure. These findings demonstrate that shape analysis using three-dimensional surface measures is sensitive to fetal alcohol exposure and provides additional information than volumetric measures alone.Surface deformation-based analysis was used to assess local shape variations in the hippocampi and caudate nuclei of children with fetal alcohol spectrum disorders. High-resolution structural magnetic resonance imaging images were acquired for 31 children (19 controls and 12 children diagnosed with fetal alcohol syndrome/partial FAS). Hippocampi and caudate nuclei were manually segmented, and surface meshes were reconstructed. An iterative closest point algorithm was used to register the template of one control subject to all other shapes in order to capture the true geometry of the shape with a fixed number of landmark points. A point distribution model was used to quantify the shape variations in terms of a change in co-ordinate positions. Using the localized Hotelling T(2) method, regions of significant shape variations between the control and exposed subjects were identified and mapped onto the mean shapes. Binary masks of hippocampi and caudate nuclei were generated from the segmented volumes of each brain. These were used to compute the volumes and for further statistical analysis. The Mann-Whitney test was performed to predict volume differences between the groups. Although the exposed and control subjects did not differ significantly in their volumes, the shape analysis showed the hippocampus to be more deformed at the head and tail regions in the alcohol-exposed children. Between-group differences in caudate nucleus morphology were dispersed across the tail and head regions. Correlation analysis showed associations between the degree of compression and the level of alcohol exposure. These findings demonstrate that shape analysis using three-dimensional surface measures is sensitive to fetal alcohol exposure and provides additional information than volumetric measures alone. Surface deformation‐based analysis was used to assess local shape variations in the hippocampi and caudate nuclei of children with fetal alcohol spectrum disorders. High‐resolution structural magnetic resonance imaging images were acquired for 31 children (19 controls and 12 children diagnosed with fetal alcohol syndrome/partial FAS). Hippocampi and caudate nuclei were manually segmented, and surface meshes were reconstructed. An iterative closest point algorithm was used to register the template of one control subject to all other shapes in order to capture the true geometry of the shape with a fixed number of landmark points. A point distribution model was used to quantify the shape variations in terms of a change in co‐ordinate positions. Using the localized Hotelling T2 method, regions of significant shape variations between the control and exposed subjects were identified and mapped onto the mean shapes. Binary masks of hippocampi and caudate nuclei were generated from the segmented volumes of each brain. These were used to compute the volumes and for further statistical analysis. The Mann–Whitney test was performed to predict volume differences between the groups. Although the exposed and control subjects did not differ significantly in their volumes, the shape analysis showed the hippocampus to be more deformed at the head and tail regions in the alcohol‐exposed children. Between‐group differences in caudate nucleus morphology were dispersed across the tail and head regions. Correlation analysis showed associations between the degree of compression and the level of alcohol exposure. These findings demonstrate that shape analysis using three‐dimensional surface measures is sensitive to fetal alcohol exposure and provides additional information than volumetric measures alone. Hum Brain Mapp 35:659–672, 2014. © 2012 Wiley Periodicals, Inc. |
| Author | Warton, Christopher Phillips, Owen R. Molteno, Chris D. Eicher, Anton Joseph, Jesuchristopher Marais, Patrick Meintjes, Ernesta M. Narr, Katherine L. Jacobson, Sandra W. Jacobson, Joseph L. |
| AuthorAffiliation | 6 Laboratory of Neuro Imaging Department of Neurology Geffen School of Medicine at UCLA Los Angeles 3 Psychiatry and Behavioral Neurosciences Wayne State University School of Medicine Detroit 4 Department of Psychiatry and Mental Health Faculty of Health Sciences University of Cape Town South Africa 5 Department of Computer Science University of Cape Town South Africa 2 Department of Human Biology Faculty of Health Sciences University of Cape Town South Africa 1 MRC/UCT Medical Imaging Research Unit Faculty of Health Sciences University of Cape Town South Africa |
| AuthorAffiliation_xml | – name: 4 Department of Psychiatry and Mental Health Faculty of Health Sciences University of Cape Town South Africa – name: 1 MRC/UCT Medical Imaging Research Unit Faculty of Health Sciences University of Cape Town South Africa – name: 3 Psychiatry and Behavioral Neurosciences Wayne State University School of Medicine Detroit – name: 5 Department of Computer Science University of Cape Town South Africa – name: 2 Department of Human Biology Faculty of Health Sciences University of Cape Town South Africa – name: 6 Laboratory of Neuro Imaging Department of Neurology Geffen School of Medicine at UCLA Los Angeles |
| Author_xml | – sequence: 1 givenname: Jesuchristopher surname: Joseph fullname: Joseph, Jesuchristopher email: jesuinmit@gmail.com organization: MRC/UCT Medical Imaging Research Unit, Faculty of Health Sciences, University of Cape Town, South Africa – sequence: 2 givenname: Christopher surname: Warton fullname: Warton, Christopher organization: Department of Human Biology, Faculty of Health Sciences, University of Cape Town, South Africa – sequence: 3 givenname: Sandra W. surname: Jacobson fullname: Jacobson, Sandra W. organization: Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit – sequence: 4 givenname: Joseph L. surname: Jacobson fullname: Jacobson, Joseph L. organization: Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit – sequence: 5 givenname: Chris D. surname: Molteno fullname: Molteno, Chris D. organization: Department of Psychiatry and Mental Health, Faculty of Health Sciences, University of Cape Town, South Africa – sequence: 6 givenname: Anton surname: Eicher fullname: Eicher, Anton organization: Department of Computer Science, University of Cape Town, South Africa – sequence: 7 givenname: Patrick surname: Marais fullname: Marais, Patrick organization: Department of Computer Science, University of Cape Town, South Africa – sequence: 8 givenname: Owen R. surname: Phillips fullname: Phillips, Owen R. organization: Laboratory of Neuro Imaging, Department of Neurology, Geffen School of Medicine at UCLA, Los Angeles – sequence: 9 givenname: Katherine L. surname: Narr fullname: Narr, Katherine L. organization: Laboratory of Neuro Imaging, Department of Neurology, Geffen School of Medicine at UCLA, Los Angeles – sequence: 10 givenname: Ernesta M. surname: Meintjes fullname: Meintjes, Ernesta M. organization: MRC/UCT Medical Imaging Research Unit, Faculty of Health Sciences, University of Cape Town, South Africa |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28130982$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/23124690$$D View this record in MEDLINE/PubMed |
| BookMark | eNp1kk1v1DAQhiNURD_gwB9AlhASHNLazpd9QYJVaUEFDhRV4mJN7AlxSeJgJy37K_jLeLu7BSo42Ro_7zszntlPdgY3YJI8ZvSQUcqP2ro_5JxTeS_ZY1RWKWUy21ndyyKVecV2k_0QLillrKDsQbLLM8bzUtK95Od56xFTY3scgnUDdCTMvgGNxGDjfA9TjKY1BDQktDAigQgtgw3ENaS14-g09OMcYtwQDbOBCckw6w5jzA5Et7YzHgdybaeWNDjFFNBp17qYakQ9-bknxgbnDfrwMLnfQBfw0eY8SD6_OT5fnKZnH0_eLl6dpbpgTKYg6iKXma6R5VgZITQ03HAochPbRVNJWVe5FMI0gmvIgDOQeY5YClaZqs4Okpdr33GuezQah8lDp0Zve_BL5cCqv18G26qv7kqVopRMimjwfGPg3fcZw6R6GzR2HQzo5qBYLmkpq0KUEX16B710s4-_uKKqUhQl5zJST_6s6LaU7awi8GwDQNDQNR4GbcNvTrCMSsEjd7TmtHcheGyUttPNGGMjtlOMqtXWqLg16mZrouLFHcXW9F_sxv3adrj8P6hOX7_fKtK1woYJf9wqwH9TZZVVhbr4cKIk_cIX79iF-pT9AlaN43I |
| CitedBy_id | crossref_primary_10_1093_cercor_bhab481 crossref_primary_10_1016_j_alcohol_2021_07_003 crossref_primary_10_1186_s12916_024_03656_w crossref_primary_10_1186_s11689_025_09595_8 crossref_primary_10_1146_annurev_clinpsy_050817_084819 crossref_primary_10_1002_imhj_21761 crossref_primary_10_1002_jnr_24735 crossref_primary_10_1111_acer_13820 crossref_primary_10_1016_j_neuroimage_2024_120708 crossref_primary_10_1111_acer_14310 crossref_primary_10_1016_j_neubiorev_2022_105019 crossref_primary_10_1109_TMI_2016_2515021 crossref_primary_10_1016_j_mri_2017_06_012 crossref_primary_10_1093_braincomms_fcae273 crossref_primary_10_1002_jnr_23894 crossref_primary_10_1111_acer_14945 crossref_primary_10_1016_j_ejmg_2016_09_003 crossref_primary_10_1016_j_ntt_2016_06_003 crossref_primary_10_1002_hbm_22741 crossref_primary_10_23838_pfm_2018_00156 crossref_primary_10_1002_dev_21311 crossref_primary_10_1093_cercor_bhw382 crossref_primary_10_1016_j_nbd_2020_105216 crossref_primary_10_1016_j_neubiorev_2019_09_018 crossref_primary_10_1108_JIDOB_10_2014_0015 crossref_primary_10_1002_jnr_24797 crossref_primary_10_1016_j_nicl_2024_103620 crossref_primary_10_1111_acer_12639 crossref_primary_10_1111_acer_14857 crossref_primary_10_1016_j_alcohol_2014_08_002 crossref_primary_10_3389_fnint_2015_00065 crossref_primary_10_5665_sleep_3836 crossref_primary_10_1016_j_neuroimage_2015_06_055 crossref_primary_10_3389_fnins_2023_1152038 crossref_primary_10_3109_02699052_2014_947629 crossref_primary_10_1007_s40474_014_0020_8 crossref_primary_10_1016_j_brainres_2020_146654 crossref_primary_10_1002_bsl_2540 crossref_primary_10_1016_j_nicl_2024_103722 crossref_primary_10_3389_fnhum_2020_00085 crossref_primary_10_1097_WNR_0000000000001270 crossref_primary_10_17241_smr_2015_6_2_50 crossref_primary_10_3390_brainsci6040052 crossref_primary_10_1016_j_ntt_2021_107015 crossref_primary_10_1109_TBME_2015_2496233 crossref_primary_10_1137_13093978X crossref_primary_10_1002_hbm_22525 crossref_primary_10_1007_s11682_017_9739_2 crossref_primary_10_1017_neu_2015_12 crossref_primary_10_4236_jbbs_2022_123004 |
| Cites_doi | 10.1016/j.neuroimage.2003.11.011 10.1109/TMI.2003.815865 10.1007/3-540-48714-X_33 10.1093/cercor/10.1.40 10.1111/j.1530-0277.1996.tb01682.x 10.1016/j.pscychresns.2009.10.011 10.3233/IDA-2004-8602 10.1109/34.121791 10.1111/j.1530-0277.2007.00585.x 10.1016/j.drugalcdep.2006.11.007 10.1111/j.1530-0277.1996.tb01951.x 10.1117/12.310942 10.1176/appi.ajp.160.6.1110 10.1016/S0197-4580(03)00118-0 10.1212/WNL.57.2.235 10.1016/j.pscychresns.2006.01.007 10.1016/S1361-8415(97)85012-8 10.1016/S1361-8415(99)80020-6 10.1097/00001756-200103050-00018 10.1002/ar.10110 10.1109/42.746716 10.1111/j.1530-0277.2010.01230.x 10.1037/0894-4105.14.3.341 10.1111/j.1469-8749.2001.tb00179.x 10.1002/tera.1044 10.1006/nimg.1995.1032 10.1016/j.neubiorev.2006.06.016 10.1016/j.neuroimage.2007.05.016 10.1016/j.neurobiolaging.2004.09.015 10.1109/TMI.2003.815864 10.1111/j.1530-0277.2010.01341.x 10.2105/AJPH.90.12.1905 10.1016/j.media.2004.06.004 10.1016/S1053-8119(03)00243-X 10.1006/cviu.1995.1004 |
| ContentType | Journal Article |
| Copyright | Copyright © 2012 Wiley Periodicals, Inc. 2015 INIST-CNRS |
| Copyright_xml | – notice: Copyright © 2012 Wiley Periodicals, Inc. – notice: 2015 INIST-CNRS |
| DBID | BSCLL AAYXX CITATION IQODW CGR CUY CVF ECM EIF NPM 7QR 7TK 7U7 8FD C1K FR3 K9. P64 7X8 5PM |
| DOI | 10.1002/hbm.22209 |
| DatabaseName | Istex CrossRef Pascal-Francis Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Chemoreception Abstracts Neurosciences Abstracts Toxicology Abstracts Technology Research Database Environmental Sciences and Pollution Management Engineering Research Database ProQuest Health & Medical Complete (Alumni) Biotechnology and BioEngineering Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Technology Research Database Toxicology Abstracts ProQuest Health & Medical Complete (Alumni) Chemoreception Abstracts Engineering Research Database Neurosciences Abstracts Biotechnology and BioEngineering Abstracts Environmental Sciences and Pollution Management MEDLINE - Academic |
| DatabaseTitleList | MEDLINE CrossRef Technology Research Database 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 Anatomy & Physiology |
| DocumentTitleAlternate | Analysis of Hippocampus and Caudate Nucleus in Children |
| EISSN | 1097-0193 |
| EndPage | 672 |
| ExternalDocumentID | PMC6869198 3179595481 23124690 28130982 10_1002_hbm_22209 HBM22209 ark_67375_WNG_90Z2CJ1W_S |
| Genre | article Research Support, Non-U.S. Gov't Journal Article Research Support, N.I.H., Extramural |
| GrantInformation_xml | – fundername: Office of the President of Wayne State University (a Children's Bridge grant) – fundername: the State of Michigan – fundername: NIH Fogarty International Research Collaboration Award funderid: R03 TW007030 – fundername: National Institute on Alcohol Abuse and Alcoholism (NIAAA) funderid: R01 AA016781 – fundername: South African Research Chairs Initiative of the Department of Science and Technology and National Research Foundation of South Africa – fundername: NIAAA Collaborative Initiative on Fetal Alcohol Spectrum Disorder funderid: U01 AA014790; U24 AA014815 – fundername: National Research Foundation of South Africa Focus Area funderid: FA2005040800024 – fundername: the Medical Research Council of South Africa (a Fulbright Fellowship) – fundername: University of Cape Town and the Joseph Young, Sr., Fund – fundername: NIAAA NIH HHS grantid: U24 AA014815 – fundername: NIAAA NIH HHS grantid: R01 AA016781 – fundername: FIC NIH HHS grantid: R03 TW007030 – fundername: NIAAA NIH HHS grantid: U01 AA014790 – fundername: National Research Foundation of South Africa Focus Area grantid: FA2005040800024 – fundername: National Institute on Alcohol Abuse and Alcoholism (NIAAA) grantid: R01 AA016781 – fundername: NIAAA Collaborative Initiative on Fetal Alcohol Spectrum Disorder grantid: U01 AA014790; U24 AA014815 – fundername: NIH Fogarty International Research Collaboration Award grantid: R03 TW007030 |
| GroupedDBID | --- .3N .GA .Y3 05W 0R~ 10A 1L6 1OB 1OC 1ZS 24P 31~ 33P 3SF 3WU 4.4 4ZD 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 53G 5GY 5VS 66C 702 7PT 7X7 8-0 8-1 8-3 8-4 8-5 8FI 8FJ 8UM 930 A03 AAESR AAEVG AAHHS AAONW AAZKR ABCQN ABCUV ABEML ABIJN ABIVO ABJNI ABPVW ABUWG ACBWZ ACCFJ ACGFS ACIWK ACPOU ACPRK ACSCC ACXQS ADBBV ADEOM ADIZJ ADMGS ADPDF ADXAS ADZOD AEEZP AEIMD AENEX AEQDE AEUQT AFBPY AFGKR AFKRA AFPWT AFRAH AFZJQ AHMBA AIURR AIWBW AJBDE AJXKR ALAGY ALIPV ALMA_UNASSIGNED_HOLDINGS ALUQN AMBMR ASPBG ATUGU AUFTA AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BENPR BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BSCLL BY8 C45 CCPQU CS3 D-E D-F DCZOG DPXWK DR1 DR2 DU5 EBD EBS EJD EMOBN F00 F01 F04 F5P FEDTE FYUFA G-S G.N GAKWD GNP GODZA GROUPED_DOAJ H.T H.X HBH HF~ HHY HHZ HMCUK HVGLF HZ~ IAO IHR ITC IX1 J0M JPC KQQ L7B LAW LC2 LC3 LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES M6M MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ NNB O66 O9- OIG OK1 OVD OVEED P2P P2W P2X P4D PALCI PIMPY PQQKQ Q.N Q11 QB0 QRW R.K RIWAO RJQFR ROL RPM RWD RWI RX1 RYL SAMSI SUPJJ SV3 TEORI UB1 UKHRP V2E W8V W99 WBKPD WIB WIH WIK WIN WJL WNSPC WOHZO WQJ WRC WUP WXSBR WYISQ XG1 XSW XV2 ZZTAW ~IA ~WT AANHP AAYCA ACCMX ACRPL ACYXJ ADNMO AAFWJ AAMMB AAYXX AEFGJ AFPKN AGQPQ AGXDD AIDQK AIDYY CITATION PHGZM PHGZT IQODW CGR CUY CVF ECM EIF NPM 7QR 7TK 7U7 8FD C1K FR3 K9. P64 7X8 5PM |
| ID | FETCH-LOGICAL-c5119-a8b5493cbe14e7d88caf2d2a54d471ed799b74988df82ca3a21a944ee6817d7b3 |
| IEDL.DBID | DR2 |
| ISSN | 1065-9471 1097-0193 |
| IngestDate | Thu Aug 21 14:06:29 EDT 2025 Tue Aug 05 11:20:40 EDT 2025 Sat Jul 26 02:19:29 EDT 2025 Thu Apr 03 06:55:59 EDT 2025 Wed Apr 02 07:25:09 EDT 2025 Sun Jul 06 05:09:23 EDT 2025 Thu Apr 24 22:51:53 EDT 2025 Wed Jan 22 16:27:56 EST 2025 Wed Oct 30 10:04:56 EDT 2024 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Keywords | Human Fetal alcohol syndrome Nervous system diseases Deformation Ethanol Radiodiagnosis Central nervous system Alcohol Basal ganglion shape analysis Three dimensional shape Surface analysis surface deformation Encephalon Newborn diseases Caudate nucleus Child Hippocampus caudate nucleus fetal alcohol syndrome hippocampus |
| Language | English |
| License | http://onlinelibrary.wiley.com/termsAndConditions#vor CC BY 4.0 Copyright © 2012 Wiley Periodicals, Inc. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c5119-a8b5493cbe14e7d88caf2d2a54d471ed799b74988df82ca3a21a944ee6817d7b3 |
| Notes | Office of the President of Wayne State University (a Children's Bridge grant) istex:C461CDC409768367D0528CB9F8B0688E5818E5DC NIH Fogarty International Research Collaboration Award - No. R03 TW007030 National Research Foundation of South Africa Focus Area - No. FA2005040800024 the State of Michigan National Institute on Alcohol Abuse and Alcoholism (NIAAA) - No. R01 AA016781 NIAAA Collaborative Initiative on Fetal Alcohol Spectrum Disorder - No. U01 AA014790; No. U24 AA014815 South African Research Chairs Initiative of the Department of Science and Technology and National Research Foundation of South Africa the Medical Research Council of South Africa (a Fulbright Fellowship) University of Cape Town and the Joseph Young, Sr., Fund ark:/67375/WNG-90Z2CJ1W-S ArticleID:HBM22209 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/6869198 |
| PMID | 23124690 |
| PQID | 1476856229 |
| PQPubID | 996345 |
| PageCount | 14 |
| ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_6869198 proquest_miscellaneous_1490697586 proquest_journals_1476856229 pubmed_primary_23124690 pascalfrancis_primary_28130982 crossref_citationtrail_10_1002_hbm_22209 crossref_primary_10_1002_hbm_22209 wiley_primary_10_1002_hbm_22209_HBM22209 istex_primary_ark_67375_WNG_90Z2CJ1W_S |
| PublicationCentury | 2000 |
| PublicationDate | February 2014 |
| PublicationDateYYYYMMDD | 2014-02-01 |
| PublicationDate_xml | – month: 02 year: 2014 text: February 2014 |
| PublicationDecade | 2010 |
| PublicationPlace | New York, NY |
| PublicationPlace_xml | – name: New York, NY – name: United States – name: San Antonio – name: Hoboken |
| PublicationTitle | Human brain mapping |
| PublicationTitleAlternate | Hum. Brain Mapp |
| PublicationYear | 2014 |
| Publisher | Blackwell Publishing Ltd Wiley-Liss John Wiley & Sons, Inc John Wiley and Sons Inc |
| Publisher_xml | – name: Blackwell Publishing Ltd – name: Wiley-Liss – name: John Wiley & Sons, Inc – name: John Wiley and Sons Inc |
| References | Gonzalo SB, Beatriz GA, Aitor S, Yolanda V, Manuel D, Jordi PC (2010): Manual validation of FreeSurfer's automated hippocampal segmentation in normal aging, mild cognitive impairment, and Alzheimer Disease subjects. Psychiatry Research: Neuroimaging 181:219-225. Narr KL, Thompson PM, Sharma T, Moussai J, Cannestra AF, Toga AW (2000): Mapping morphology of the corpus callosum in schizophrenia. Cereb Cortex 10:40-49. Rueckert D, Frangi A, Schnabel JA (2003): Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration. IEEE Trans Med Imag 22:1014-1025. Mattson SN, Riley EP, Sowell ER, Jernigan TL, Sobel DF, Jones KL (1996): A decrease in the size of the basal ganglia in children with fetal alcohol syndrome. Alcohol Clin Exp Res 20:1088-1093. Sowell ER, Mattson SN, Thompson PM, Jernigan TL, Riley EP, Toga AW (2001a): Mapping callosal morphology and cognitive correlates: Effects of heavy prenatal alcohol exposure. Neurology 57:235-244. Archibald SL, Fennema-Notestine C, Gamst A, Riley EP, Mattson SN, Jernigan TL (2001): Brain dysmorphology in individuals with severe prenatal alcohol exposure. Dev Med Child Neurol 43:148-154. Kelemen A, Szekely G, Gerig G (1997): Three-dimensional model-based segmentation of brain MRI. Proc IEEE Int Workshop Model Based 3D Image Anal 178:828-839. Wright IC, McGuire PK, Poline JB, Travere JM, Murray RM, Frith CD, Frackowiak RS, Friston KJ (1995): A voxel-based method for the statistical analysis of gray and white matter density applied to schizophrenia. Neuroimage 2:244-252. Sullivan EV, Deshmukh A, Desmond JE, Lim KO, Pfefferbaum A (2000): Cerebellar volume decline in normal aging, alcoholism, and Korsakoff's syndrome: Relation to ataxia. Neuropsychology 14:341-352. Styner M, Lieberman JA, Pantazis D, Gerig G (2004): Boundary and medial shape analysis of the hippocampus in schizophrenia. Med Image Anal 8:197-203. Juergen M, George P, Thomas V (2007):Atlas of the Human Brain, Third Edition.Academic Press,280 p. Pfefferbaum A, Lim KO, Desmond JE, Sullivan EV (1996): Thinning of the corpus callosum in older alcoholic men: A magnetic resonance imaging study. Alcohol Clin Exp Res 20:752-757. Sullivan EV, Marsh L, Pfefferbaum A (2005): Preservation of hippocampal volume throughout adulthood in healthy men and women. Neurobiol Aging 26:1093-1098. May PA, Brooke L, Gossage JP, Croxford J, Adnams C, Jones KL, Robinson L, Viljoen D (2000): Epidemiology of fetal alcohol syndrome in a South African community in the Western Cape Province. Am J Publ Health 90:1905-1912. Fleute M, Lavallee S, Julliard R (1999): Incorporating a statistically based shape model into a system for computer-assisted anterior cruciate ligament surgery. Med Image Anal 3:209-222. Sullivan EV, Rosenbloom MJ, Serventi KL, Deshmukh A, Pfefferbaum A (2003): Effects of alcohol dependence comorbidity and antipsychotic medication on volumes of the thalamus and pons in schizophrenia. Am J Psychiatry 160,1110-1116. Meintjes EM, Jacobson JL, Molteno CD, Gatenby JC, Warton C, Cannistraci CJ, Hoyme HE, Robinson LK, Khaole N, Gore JC, Jacobson SW (2010): An FMRI study of number processing in children with fetal alcohol syndrome. Alcohol Clin Exp Res 34:1450-1464. Bookstein FL (1997): Landmark methods for forms without landmarks: Morphometrics of group differences in outline shape. Med Image Anal 1:225-243. Gerig G, Styner M, Shenton ME, Lieberman JA (2001): Shape versus size: Improved understanding of the morphology of brain structures. Med Image Comput Computer-Assist Interv 2208:24-32. Narr KL, Thompson PM, Szeszko P, Robinson D, Jang S, Woods RP, Kim S, Hayashi KM, Asunction D, Toga AW, Bilder RM (2004): Regional specificity of hippocampal volume reductions in first-episode schizophrenia. Neuroimage 21:1563-1575. Bookstein FL, Sampson PD, Connor PD, Streissguth AP (2002): Midline corpus callosum is a neuroanatomical focus of fetal alcohol damage. Anat Rec 269:162-174. Machado AMC, Gee JC (1998): Atlas warping for brain morphometry. Proc SPIE Med Imag Image Process 3338:642-651. Raz N, Gunning-Dixon F, Head D, Rodrigue KM, Williamson A, Acker JD (2004): Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: Replicability of regional differences in volume. Neurobiol Aging 25:377-396. Astley SJ (2004):Diagnostic Guide for Fetal Alcohol Spectrum Disorders: The 4-Digit Diagnostic Code, 3rd ed.Seattle WA:University of Washington Publication Services. pp1-114. Duta N, Sonka M (1997): Segmentation and interpretation of MR brain images: An improved active shape model. IEEE Trans Med Imag 17:1049-1062. Jacobson SW, Warton C, Dodge NC, De Guio F, Molteno CD, Jacobson JL, Meintjes EM (2010): Differential vulnerability of three brain structures to fetal alcohol exposure: An MRI study of school-age children in Cape Town. Alcohol Clin Exp Res A 34:93. Shen L, Ford J, Makedon F, Saykin A (2004): A surface-based approach for classification of 3D neuroanatomical structures. Intell Data Anal 8:519-542. Sowell ER, Thompson PM, Mattson SN, Tessner KD, Jernigan TL, Riley EP, Toga AW (2001b): Voxel-based morphometric analyses of the brain in children and adolescents prenatally exposed to alcohol. Neuroreport 12:515-523. May PA, Gossage JP, Marais AS, Adnams CM, Hoyme HE, Jones KL, Robinson LK, Khaole NC, Snell C, Kalberg WO, Hendricks L, Brooke L, Stellavato C, Viljoen DL (2007): The epidemiology of fetal alcohol syndrome and partial FAS in a South African community. Drug Alcohol Depend 88:259-271. Cootes TF, Taylor CJ, Cooper DH, Graham J (1995): Active shape models-Their training and application. Computer Vis Image Understand 61:38-59. Yonggang S, Paul MT, Greig IZ, Stephen ER, Zhuowen T, Ivo D, Arthur WT (2007): Direct mapping of hippocampal surfaces with intrinsic shape context. Neuroimage 37:792-807. Besl PJ, McKay ND (1992): A method for registration of 3-d shapes. IEEE Trans Pattern Anal Mach Intell 14:239-256. Golland P, Grimson WEL, Kikinis R (1999): Statistical shape analysis using fixed topology skeletons: Corpus callosum Study. Inform Process Med Imag 1613:382-387. Mai J, Paxinos G, Voss T.2007.Atlas of the Human Brain, 3rd ed.New York:Academic Press. Kaus MR, Pekar V, Lorenz C, Truyen R, Lobregt S, Weese J (2003): Automated 3-D PDM construction from segmented images using deformable models. IEEE Trans Med Imag 22:1005-1013. Jacobson SW, Stanton ME, Dodge NC, Pienaar M, Fuller DS, Molteno CD, Meintjes EM, Hoyme HE, Robinson LK, Khaole N, Jacobson JL (2011): Impaired delay and trace eyeblink conditioning in school-age children with fetal alcohol syndrome. Alcohol Clin Exp Res 35:250-264. Manning MA, Hoyme HE (2007): Fetal alcohol spectrum disorders: A practical clinical approach to diagnosis. Neurosci Biobehav Rev 31:230-238. Bookstein FL, Sampson PD, Streissguth AP, Connor PD (2001): Geometric morphometrics of corpus callosum and subcortical structures in the fetal alcohol affected brain. Teratology 64:4-32. Woods RP (2003): Multitracer: A java-based tool for anatomic delineation of grayscale volumetric images. Neuroimage 19:1829-1834. Basso M, Yang J, Warren L, MacAvoy MG, Varma P, Bronen RA, Van Dyck CH (2006): Volumetry of amygdala and hippocampus and memory performance in Alzheimer's disease. Psychiatry Res 146:251-261. Styner M, Oguz I, Xu S, Brechbuhler C, Pantazis D, Levitt JJ, Shenton ME, Gerig G (2006): Framework for the statistical shape analysis of brain structures using spharm-pdm. Insight J 1701:242-250. Jacobson SW, Stanton ME, Molteno CD, Burden MJ, Fuller DS, Hoyme HE, Robinson LK, Khaole N, Jacobson JL (2008): Impaired eyeblink conditioning in children with fetal alcohol syndrome. Alcohol Clin Exp Res 32:365-372. 2010; 34 2004; 21 1998; 3338 2004; 25 2004; 8 2006; 1701 1997; 178 2009 2007 1997; 1 2008; 32 2011; 35 2000; 90 2004 1992; 14 1999; 3 2010; 181 2003; 19 2007; 31 2005; 26 1995; 2 2001; 64 2007; 37 2001; 43 1995; 61 2000; 14 2000; 1935/2000 2000; 10 1999; 1613 2002; 269 1997; 17 2003; 160 2001; 2208 2001b; 12 2001a; 57 2007; 88 1996; 20 2003; 22 2006; 146 Astley SJ (e_1_2_6_3_1) 2004 e_1_2_6_32_1 e_1_2_6_10_1 e_1_2_6_31_1 e_1_2_6_30_1 Gerig G (e_1_2_6_13_1) 2001; 2208 e_1_2_6_19_1 Mai J (e_1_2_6_24_1) 2007 e_1_2_6_36_1 e_1_2_6_14_1 e_1_2_6_11_1 e_1_2_6_34_1 e_1_2_6_12_1 e_1_2_6_33_1 e_1_2_6_17_1 Jacobson SW (e_1_2_6_18_1) 2010; 34 e_1_2_6_38_1 e_1_2_6_16_1 Juergen M (e_1_2_6_20_1) 2007 Machado AMC (e_1_2_6_23_1) 1998; 3338 e_1_2_6_37_1 e_1_2_6_42_1 e_1_2_6_43_1 e_1_2_6_21_1 e_1_2_6_41_1 e_1_2_6_40_1 Kelemen A (e_1_2_6_22_1) 1997; 178 Shen L (e_1_2_6_35_1) 2004; 8 e_1_2_6_9_1 e_1_2_6_8_1 e_1_2_6_5_1 e_1_2_6_4_1 e_1_2_6_7_1 Golland P (e_1_2_6_15_1) 2000 e_1_2_6_6_1 e_1_2_6_25_1 e_1_2_6_2_1 e_1_2_6_29_1 e_1_2_6_44_1 e_1_2_6_28_1 Styner M (e_1_2_6_39_1) 2006; 1701 e_1_2_6_45_1 e_1_2_6_27_1 e_1_2_6_26_1 |
| References_xml | – reference: Duta N, Sonka M (1997): Segmentation and interpretation of MR brain images: An improved active shape model. IEEE Trans Med Imag 17:1049-1062. – reference: Basso M, Yang J, Warren L, MacAvoy MG, Varma P, Bronen RA, Van Dyck CH (2006): Volumetry of amygdala and hippocampus and memory performance in Alzheimer's disease. Psychiatry Res 146:251-261. – reference: Jacobson SW, Stanton ME, Molteno CD, Burden MJ, Fuller DS, Hoyme HE, Robinson LK, Khaole N, Jacobson JL (2008): Impaired eyeblink conditioning in children with fetal alcohol syndrome. Alcohol Clin Exp Res 32:365-372. – reference: Narr KL, Thompson PM, Sharma T, Moussai J, Cannestra AF, Toga AW (2000): Mapping morphology of the corpus callosum in schizophrenia. Cereb Cortex 10:40-49. – reference: Rueckert D, Frangi A, Schnabel JA (2003): Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration. IEEE Trans Med Imag 22:1014-1025. – reference: Sowell ER, Mattson SN, Thompson PM, Jernigan TL, Riley EP, Toga AW (2001a): Mapping callosal morphology and cognitive correlates: Effects of heavy prenatal alcohol exposure. Neurology 57:235-244. – reference: Narr KL, Thompson PM, Szeszko P, Robinson D, Jang S, Woods RP, Kim S, Hayashi KM, Asunction D, Toga AW, Bilder RM (2004): Regional specificity of hippocampal volume reductions in first-episode schizophrenia. Neuroimage 21:1563-1575. – reference: Jacobson SW, Warton C, Dodge NC, De Guio F, Molteno CD, Jacobson JL, Meintjes EM (2010): Differential vulnerability of three brain structures to fetal alcohol exposure: An MRI study of school-age children in Cape Town. Alcohol Clin Exp Res A 34:93. – reference: Archibald SL, Fennema-Notestine C, Gamst A, Riley EP, Mattson SN, Jernigan TL (2001): Brain dysmorphology in individuals with severe prenatal alcohol exposure. Dev Med Child Neurol 43:148-154. – reference: Sullivan EV, Rosenbloom MJ, Serventi KL, Deshmukh A, Pfefferbaum A (2003): Effects of alcohol dependence comorbidity and antipsychotic medication on volumes of the thalamus and pons in schizophrenia. Am J Psychiatry 160,1110-1116. – reference: Yonggang S, Paul MT, Greig IZ, Stephen ER, Zhuowen T, Ivo D, Arthur WT (2007): Direct mapping of hippocampal surfaces with intrinsic shape context. Neuroimage 37:792-807. – reference: Gonzalo SB, Beatriz GA, Aitor S, Yolanda V, Manuel D, Jordi PC (2010): Manual validation of FreeSurfer's automated hippocampal segmentation in normal aging, mild cognitive impairment, and Alzheimer Disease subjects. Psychiatry Research: Neuroimaging 181:219-225. – reference: Bookstein FL, Sampson PD, Connor PD, Streissguth AP (2002): Midline corpus callosum is a neuroanatomical focus of fetal alcohol damage. Anat Rec 269:162-174. – reference: Styner M, Lieberman JA, Pantazis D, Gerig G (2004): Boundary and medial shape analysis of the hippocampus in schizophrenia. Med Image Anal 8:197-203. – reference: Fleute M, Lavallee S, Julliard R (1999): Incorporating a statistically based shape model into a system for computer-assisted anterior cruciate ligament surgery. Med Image Anal 3:209-222. – reference: Cootes TF, Taylor CJ, Cooper DH, Graham J (1995): Active shape models-Their training and application. Computer Vis Image Understand 61:38-59. – reference: Juergen M, George P, Thomas V (2007):Atlas of the Human Brain, Third Edition.Academic Press,280 p. – reference: Sullivan EV, Marsh L, Pfefferbaum A (2005): Preservation of hippocampal volume throughout adulthood in healthy men and women. Neurobiol Aging 26:1093-1098. – reference: Jacobson SW, Stanton ME, Dodge NC, Pienaar M, Fuller DS, Molteno CD, Meintjes EM, Hoyme HE, Robinson LK, Khaole N, Jacobson JL (2011): Impaired delay and trace eyeblink conditioning in school-age children with fetal alcohol syndrome. Alcohol Clin Exp Res 35:250-264. – reference: Mattson SN, Riley EP, Sowell ER, Jernigan TL, Sobel DF, Jones KL (1996): A decrease in the size of the basal ganglia in children with fetal alcohol syndrome. Alcohol Clin Exp Res 20:1088-1093. – reference: Sowell ER, Thompson PM, Mattson SN, Tessner KD, Jernigan TL, Riley EP, Toga AW (2001b): Voxel-based morphometric analyses of the brain in children and adolescents prenatally exposed to alcohol. Neuroreport 12:515-523. – reference: Gerig G, Styner M, Shenton ME, Lieberman JA (2001): Shape versus size: Improved understanding of the morphology of brain structures. Med Image Comput Computer-Assist Interv 2208:24-32. – reference: May PA, Brooke L, Gossage JP, Croxford J, Adnams C, Jones KL, Robinson L, Viljoen D (2000): Epidemiology of fetal alcohol syndrome in a South African community in the Western Cape Province. Am J Publ Health 90:1905-1912. – reference: Mai J, Paxinos G, Voss T.2007.Atlas of the Human Brain, 3rd ed.New York:Academic Press. – reference: Besl PJ, McKay ND (1992): A method for registration of 3-d shapes. IEEE Trans Pattern Anal Mach Intell 14:239-256. – reference: Woods RP (2003): Multitracer: A java-based tool for anatomic delineation of grayscale volumetric images. Neuroimage 19:1829-1834. – reference: Styner M, Oguz I, Xu S, Brechbuhler C, Pantazis D, Levitt JJ, Shenton ME, Gerig G (2006): Framework for the statistical shape analysis of brain structures using spharm-pdm. Insight J 1701:242-250. – reference: Manning MA, Hoyme HE (2007): Fetal alcohol spectrum disorders: A practical clinical approach to diagnosis. Neurosci Biobehav Rev 31:230-238. – reference: Astley SJ (2004):Diagnostic Guide for Fetal Alcohol Spectrum Disorders: The 4-Digit Diagnostic Code, 3rd ed.Seattle WA:University of Washington Publication Services. pp1-114. – reference: Machado AMC, Gee JC (1998): Atlas warping for brain morphometry. Proc SPIE Med Imag Image Process 3338:642-651. – reference: Bookstein FL (1997): Landmark methods for forms without landmarks: Morphometrics of group differences in outline shape. Med Image Anal 1:225-243. – reference: Raz N, Gunning-Dixon F, Head D, Rodrigue KM, Williamson A, Acker JD (2004): Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: Replicability of regional differences in volume. Neurobiol Aging 25:377-396. – reference: Shen L, Ford J, Makedon F, Saykin A (2004): A surface-based approach for classification of 3D neuroanatomical structures. Intell Data Anal 8:519-542. – reference: Bookstein FL, Sampson PD, Streissguth AP, Connor PD (2001): Geometric morphometrics of corpus callosum and subcortical structures in the fetal alcohol affected brain. Teratology 64:4-32. – reference: Golland P, Grimson WEL, Kikinis R (1999): Statistical shape analysis using fixed topology skeletons: Corpus callosum Study. Inform Process Med Imag 1613:382-387. – reference: Meintjes EM, Jacobson JL, Molteno CD, Gatenby JC, Warton C, Cannistraci CJ, Hoyme HE, Robinson LK, Khaole N, Gore JC, Jacobson SW (2010): An FMRI study of number processing in children with fetal alcohol syndrome. Alcohol Clin Exp Res 34:1450-1464. – reference: Kelemen A, Szekely G, Gerig G (1997): Three-dimensional model-based segmentation of brain MRI. Proc IEEE Int Workshop Model Based 3D Image Anal 178:828-839. – reference: Kaus MR, Pekar V, Lorenz C, Truyen R, Lobregt S, Weese J (2003): Automated 3-D PDM construction from segmented images using deformable models. IEEE Trans Med Imag 22:1005-1013. – reference: May PA, Gossage JP, Marais AS, Adnams CM, Hoyme HE, Jones KL, Robinson LK, Khaole NC, Snell C, Kalberg WO, Hendricks L, Brooke L, Stellavato C, Viljoen DL (2007): The epidemiology of fetal alcohol syndrome and partial FAS in a South African community. Drug Alcohol Depend 88:259-271. – reference: Wright IC, McGuire PK, Poline JB, Travere JM, Murray RM, Frith CD, Frackowiak RS, Friston KJ (1995): A voxel-based method for the statistical analysis of gray and white matter density applied to schizophrenia. Neuroimage 2:244-252. – reference: Pfefferbaum A, Lim KO, Desmond JE, Sullivan EV (1996): Thinning of the corpus callosum in older alcoholic men: A magnetic resonance imaging study. Alcohol Clin Exp Res 20:752-757. – reference: Sullivan EV, Deshmukh A, Desmond JE, Lim KO, Pfefferbaum A (2000): Cerebellar volume decline in normal aging, alcoholism, and Korsakoff's syndrome: Relation to ataxia. Neuropsychology 14:341-352. – volume: 14 start-page: 239 year: 1992 end-page: 256 article-title: A method for registration of 3‐d shapes publication-title: IEEE Trans Pattern Anal Mach Intell – volume: 34 start-page: 93 year: 2010 article-title: Differential vulnerability of three brain structures to fetal alcohol exposure: An MRI study of school‐age children in Cape Town publication-title: Alcohol Clin Exp Res A – year: 2009 – volume: 90 start-page: 1905 year: 2000 end-page: 1912 article-title: Epidemiology of fetal alcohol syndrome in a South African community in the Western Cape Province publication-title: Am J Publ Health – volume: 19 start-page: 1829 year: 2003 end-page: 1834 article-title: Multitracer: A java‐based tool for anatomic delineation of grayscale volumetric images publication-title: Neuroimage – volume: 31 start-page: 230 year: 2007 end-page: 238 article-title: Fetal alcohol spectrum disorders: A practical clinical approach to diagnosis publication-title: Neurosci Biobehav Rev – volume: 17 start-page: 1049 year: 1997 end-page: 1062 article-title: Segmentation and interpretation of MR brain images: An improved active shape model publication-title: IEEE Trans Med Imag – volume: 160 start-page: 1110 year: 2003 end-page: 1116 article-title: Effects of alcohol dependence comorbidity and antipsychotic medication on volumes of the thalamus and pons in schizophrenia publication-title: Am J Psychiatry – volume: 269 start-page: 162 year: 2002 end-page: 174 article-title: Midline corpus callosum is a neuroanatomical focus of fetal alcohol damage publication-title: Anat Rec – volume: 3338 start-page: 642 year: 1998 end-page: 651 article-title: Atlas warping for brain morphometry publication-title: Proc SPIE Med Imag Image Process – year: 2007 – volume: 3 start-page: 209 year: 1999 end-page: 222 article-title: Incorporating a statistically based shape model into a system for computer‐assisted anterior cruciate ligament surgery publication-title: Med Image Anal – volume: 146 start-page: 251 year: 2006 end-page: 261 article-title: Volumetry of amygdala and hippocampus and memory performance in Alzheimer's disease publication-title: Psychiatry Res – volume: 178 start-page: 828 year: 1997 end-page: 839 article-title: Three‐dimensional model‐based segmentation of brain MRI publication-title: Proc IEEE Int Workshop Model Based 3D Image Anal – volume: 8 start-page: 519 year: 2004 end-page: 542 article-title: A surface‐based approach for classification of 3D neuroanatomical structures publication-title: Intell Data Anal – volume: 1701 start-page: 242 year: 2006 end-page: 250 article-title: Framework for the statistical shape analysis of brain structures using spharm‐pdm publication-title: Insight J – volume: 43 start-page: 148 year: 2001 end-page: 154 article-title: Brain dysmorphology in individuals with severe prenatal alcohol exposure publication-title: Dev Med Child Neurol – volume: 34 start-page: 1450 year: 2010 end-page: 1464 article-title: An FMRI study of number processing in children with fetal alcohol syndrome publication-title: Alcohol Clin Exp Res – volume: 21 start-page: 1563 year: 2004 end-page: 1575 article-title: Regional specificity of hippocampal volume reductions in first‐episode schizophrenia publication-title: Neuroimage – volume: 20 start-page: 1088 year: 1996 end-page: 1093 article-title: A decrease in the size of the basal ganglia in children with fetal alcohol syndrome publication-title: Alcohol Clin Exp Res – volume: 64 start-page: 4 year: 2001 end-page: 32 article-title: Geometric morphometrics of corpus callosum and subcortical structures in the fetal alcohol affected brain publication-title: Teratology – start-page: 280 year: 2007 – volume: 10 start-page: 40 year: 2000 end-page: 49 article-title: Mapping morphology of the corpus callosum in schizophrenia publication-title: Cereb Cortex – volume: 20 start-page: 752 year: 1996 end-page: 757 article-title: Thinning of the corpus callosum in older alcoholic men: A magnetic resonance imaging study publication-title: Alcohol Clin Exp Res – volume: 2 start-page: 244 year: 1995 end-page: 252 article-title: A voxel‐based method for the statistical analysis of gray and white matter density applied to schizophrenia publication-title: Neuroimage – volume: 26 start-page: 1093 year: 2005 end-page: 1098 article-title: Preservation of hippocampal volume throughout adulthood in healthy men and women publication-title: Neurobiol Aging – volume: 1 start-page: 225 year: 1997 end-page: 243 article-title: Landmark methods for forms without landmarks: Morphometrics of group differences in outline shape publication-title: Med Image Anal – volume: 181 start-page: 219 year: 2010 end-page: 225 article-title: Manual validation of FreeSurfer's automated hippocampal segmentation in normal aging, mild cognitive impairment, and Alzheimer Disease subjects publication-title: Psychiatry Research: Neuroimaging – volume: 12 start-page: 515 year: 2001b end-page: 523 article-title: Voxel‐based morphometric analyses of the brain in children and adolescents prenatally exposed to alcohol publication-title: Neuroreport – volume: 25 start-page: 377 year: 2004 end-page: 396 article-title: Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: Replicability of regional differences in volume publication-title: Neurobiol Aging – volume: 8 start-page: 197 year: 2004 end-page: 203 article-title: Boundary and medial shape analysis of the hippocampus in schizophrenia publication-title: Med Image Anal – volume: 22 start-page: 1014 year: 2003 end-page: 1025 article-title: Automatic construction of 3‐D statistical deformation models of the brain using nonrigid registration publication-title: IEEE Trans Med Imag – volume: 35 start-page: 250 year: 2011 end-page: 264 article-title: Impaired delay and trace eyeblink conditioning in school‐age children with fetal alcohol syndrome publication-title: Alcohol Clin Exp Res – start-page: 1 year: 2004 end-page: 114 – volume: 1935/2000 start-page: 72 year: 2000 end-page: 82 – volume: 37 start-page: 792 year: 2007 end-page: 807 article-title: Direct mapping of hippocampal surfaces with intrinsic shape context publication-title: Neuroimage – volume: 61 start-page: 38 year: 1995 end-page: 59 article-title: Active shape models—Their training and application publication-title: Computer Vis Image Understand – volume: 22 start-page: 1005 year: 2003 end-page: 1013 article-title: Automated 3‐D PDM construction from segmented images using deformable models publication-title: IEEE Trans Med Imag – volume: 57 start-page: 235 year: 2001a end-page: 244 article-title: Mapping callosal morphology and cognitive correlates: Effects of heavy prenatal alcohol exposure publication-title: Neurology – volume: 32 start-page: 365 year: 2008 end-page: 372 article-title: Impaired eyeblink conditioning in children with fetal alcohol syndrome publication-title: Alcohol Clin Exp Res – volume: 88 start-page: 259 year: 2007 end-page: 271 article-title: The epidemiology of fetal alcohol syndrome and partial FAS in a South African community publication-title: Drug Alcohol Depend – volume: 14 start-page: 341 year: 2000 end-page: 352 article-title: Cerebellar volume decline in normal aging, alcoholism, and Korsakoff's syndrome: Relation to ataxia publication-title: Neuropsychology – volume: 1613 start-page: 382 year: 1999 end-page: 387 article-title: Statistical shape analysis using fixed topology skeletons: Corpus callosum Study publication-title: Inform Process Med Imag – volume: 2208 start-page: 24 year: 2001 end-page: 32 article-title: Shape versus size: Improved understanding of the morphology of brain structures publication-title: Med Image Comput Computer‐Assist Interv – ident: e_1_2_6_31_1 doi: 10.1016/j.neuroimage.2003.11.011 – start-page: 1 volume-title: Diagnostic Guide for Fetal Alcohol Spectrum Disorders: The 4‐Digit Diagnostic Code year: 2004 ident: e_1_2_6_3_1 – ident: e_1_2_6_34_1 doi: 10.1109/TMI.2003.815865 – ident: e_1_2_6_14_1 doi: 10.1007/3-540-48714-X_33 – ident: e_1_2_6_30_1 doi: 10.1093/cercor/10.1.40 – ident: e_1_2_6_32_1 doi: 10.1111/j.1530-0277.1996.tb01682.x – ident: e_1_2_6_16_1 doi: 10.1016/j.pscychresns.2009.10.011 – volume: 8 start-page: 519 year: 2004 ident: e_1_2_6_35_1 article-title: A surface‐based approach for classification of 3D neuroanatomical structures publication-title: Intell Data Anal doi: 10.3233/IDA-2004-8602 – ident: e_1_2_6_5_1 doi: 10.1109/34.121791 – ident: e_1_2_6_17_1 doi: 10.1111/j.1530-0277.2007.00585.x – ident: e_1_2_6_28_1 doi: 10.1016/j.drugalcdep.2006.11.007 – ident: e_1_2_6_26_1 doi: 10.1111/j.1530-0277.1996.tb01951.x – ident: e_1_2_6_11_1 – volume: 3338 start-page: 642 year: 1998 ident: e_1_2_6_23_1 article-title: Atlas warping for brain morphometry publication-title: Proc SPIE Med Imag Image Process doi: 10.1117/12.310942 – ident: e_1_2_6_41_1 doi: 10.1176/appi.ajp.160.6.1110 – ident: e_1_2_6_33_1 doi: 10.1016/S0197-4580(03)00118-0 – ident: e_1_2_6_36_1 doi: 10.1212/WNL.57.2.235 – ident: e_1_2_6_4_1 doi: 10.1016/j.pscychresns.2006.01.007 – volume-title: Atlas of the Human Brain year: 2007 ident: e_1_2_6_24_1 – ident: e_1_2_6_6_1 doi: 10.1016/S1361-8415(97)85012-8 – volume: 178 start-page: 828 year: 1997 ident: e_1_2_6_22_1 article-title: Three‐dimensional model‐based segmentation of brain MRI publication-title: Proc IEEE Int Workshop Model Based 3D Image Anal – ident: e_1_2_6_12_1 doi: 10.1016/S1361-8415(99)80020-6 – ident: e_1_2_6_37_1 doi: 10.1097/00001756-200103050-00018 – ident: e_1_2_6_8_1 doi: 10.1002/ar.10110 – ident: e_1_2_6_10_1 doi: 10.1109/42.746716 – ident: e_1_2_6_29_1 doi: 10.1111/j.1530-0277.2010.01230.x – ident: e_1_2_6_40_1 doi: 10.1037/0894-4105.14.3.341 – ident: e_1_2_6_2_1 doi: 10.1111/j.1469-8749.2001.tb00179.x – ident: e_1_2_6_7_1 doi: 10.1002/tera.1044 – volume: 1701 start-page: 242 year: 2006 ident: e_1_2_6_39_1 article-title: Framework for the statistical shape analysis of brain structures using spharm‐pdm publication-title: Insight J – ident: e_1_2_6_45_1 doi: 10.1006/nimg.1995.1032 – start-page: 280 volume-title: Atlas of the Human Brain year: 2007 ident: e_1_2_6_20_1 – volume: 34 start-page: 93 year: 2010 ident: e_1_2_6_18_1 article-title: Differential vulnerability of three brain structures to fetal alcohol exposure: An MRI study of school‐age children in Cape Town publication-title: Alcohol Clin Exp Res A – ident: e_1_2_6_25_1 doi: 10.1016/j.neubiorev.2006.06.016 – ident: e_1_2_6_43_1 doi: 10.1016/j.neuroimage.2007.05.016 – ident: e_1_2_6_42_1 doi: 10.1016/j.neurobiolaging.2004.09.015 – ident: e_1_2_6_21_1 doi: 10.1109/TMI.2003.815864 – ident: e_1_2_6_19_1 doi: 10.1111/j.1530-0277.2010.01341.x – start-page: 72 volume-title: Proceedings of Medical Image Computing and Computer‐Assisted Intervention year: 2000 ident: e_1_2_6_15_1 – ident: e_1_2_6_27_1 doi: 10.2105/AJPH.90.12.1905 – ident: e_1_2_6_38_1 doi: 10.1016/j.media.2004.06.004 – ident: e_1_2_6_44_1 doi: 10.1016/S1053-8119(03)00243-X – ident: e_1_2_6_9_1 doi: 10.1006/cviu.1995.1004 – volume: 2208 start-page: 24 year: 2001 ident: e_1_2_6_13_1 article-title: Shape versus size: Improved understanding of the morphology of brain structures publication-title: Med Image Comput Computer‐Assist Interv |
| SSID | ssj0011501 |
| Score | 2.3406782 |
| Snippet | Surface deformation‐based analysis was used to assess local shape variations in the hippocampi and caudate nuclei of children with fetal alcohol spectrum... Surface deformation-based analysis was used to assess local shape variations in the hippocampi and caudate nuclei of children with fetal alcohol spectrum... |
| SourceID | pubmedcentral proquest pubmed pascalfrancis crossref wiley istex |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 659 |
| SubjectTerms | Adolescent Biological and medical sciences Brain Mapping caudate nucleus Caudate Nucleus - pathology Child Female Fetal Alcohol Spectrum Disorders - pathology fetal alcohol syndrome hippocampus Hippocampus - pathology Humans Imaging, Three-Dimensional Investigative techniques, diagnostic techniques (general aspects) Magnetic Resonance Imaging Male Medical sciences Nervous system Nervous system involvement in other diseases. Miscellaneous Neurology Radiodiagnosis. Nmr imagery. Nmr spectrometry shape analysis Statistics, Nonparametric surface deformation |
| Title | Three-dimensional surface deformation-based shape analysis of hippocampus and caudate nucleus in children with fetal alcohol spectrum disorders |
| URI | https://api.istex.fr/ark:/67375/WNG-90Z2CJ1W-S/fulltext.pdf https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fhbm.22209 https://www.ncbi.nlm.nih.gov/pubmed/23124690 https://www.proquest.com/docview/1476856229 https://www.proquest.com/docview/1490697586 https://pubmed.ncbi.nlm.nih.gov/PMC6869198 |
| Volume | 35 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3da9RAEF9KBfHFj1ZttJZVpPiSa7L52sWnWqxH4fqgLS0ihP3kjnq5cGlAffJPEPwP_Uuc3U1STyuIb0d2kiOT2Z3fzM78FqHniYARQ7KQi9iEqSA0pETJkAnKpE65iITNQ06O8_FpenSena-hl30vjOeHGBJudma49dpOcC6avSvS0KmYj8C5ueY9W6tlAdHbgTrKAh0XbIGLDRmswD2rUET2hjtXfNENq9ZPtjaSN6Ae48-1uA54_lk_-SuudY7p8A760L-Sr0e5GLWXYiS__Mb2-J_vfBfd7gAr3vcWdg-t6WoDbe5XEKzPP-Nd7EpIXW5-A92cdDv1m-j7CRiJ_vH1m7LHB3jqD9y0S8OlxkoPPZMgYR2pws2U1xrzjiMFLwyezuoaPO28bhu4rrDkrU1P4MpSMMO1WYX7VnRs08nYaIgkMPeH_mLXQ7ps51h1BKPNfXR6-PrkYBx2B0CE0m5vhpwKCF8TKXSc6kJRKrkhivAsVfBFtSoYE0XKKFWGEskTTmLO0lTrnMaFKkTyAK1Xi0pvIRwJqaPcUGpUAS6Ys4xEhbTMRYWJGU0C9KI3hVJ27Oj2kI6Pped1JiXovnS6D9CzQbT2lCDXCe06exok-PLC1tAVWXl2_KZk0XtycBSfle8CtLNicMMNhAK8YJQEaLu3wLJbXxoI2CBMBOhK4I-eDsOwMtjtHl7pRWtlWJQziAfzAD30Bnv18ARwXc6iABUrpjwIWNbx1ZFqNnXs4znNGWgMFOYs9e8qKMevJu7Ho38XfYxuASJNfVn8NloHM9FPAPVdih03vX8CvHxZTg |
| linkProvider | Wiley-Blackwell |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1ba9RAFB5KC-qL1dZLaq2jSPEl22RymwFfarGutbsPuqVFkDBXdqmbXTYNqE_-BMF_6C_xzORSVyuIb0vmJEtOvplzmTPfQehpJGDEkMTnIjR-LAj1KVHSZ4IyqWMuAmHzkINh2j-Jj86SsxX0vD0LU_NDdAk3OzPcem0nuE1I712yho7FtAfWzZ7eW7MdvV1A9bYjj7Kujgu3wMj6DNbgllcoIHvdrUvWaM0q9pOtjuQlKMjUnS2ucj3_rKD81bN1pulwHX1oX6quSDnvVReiJ7_8xvf4v299C91sfFa8X4PsNlrRxQba3C8gXp9-xrvYVZG69PwGujZoNus30fcR4ET_-PpN2Q4CNfsHLquF4VJjpbtjkyBhbanC5ZjPNeYNTQqeGTyezOdgbKfzqoTrCkte2QwFLiwLM1ybFLg9jY5tRhkbDcEE5nXfX-yOkS6qKVYNx2h5B50cvhwd9P2mB4Qv7Q6nz6mACDaSQoexzhSlkhuiCE9iBZ9Uq4wxkcWMUmUokTziJOQsjrVOaZipTER30WoxK_R9hAMhdZAaSo3KwApzlpAgk5a8KDMho5GHnrVYyGVDkG77dHzMa2pnkoPuc6d7Dz3pROc1K8hVQrsOUJ0EX5zbMrosyU-Hr3IWvCcHR-Fp_s5DO0uI624gFDwMRomHtlsI5s0SU0LMBpEieK8E_uhxNwyLg93x4YWeVVaGBSmDkDD10L0asZcPj8C1S1ngoWwJy52AJR5fHikmY0dAntKUgcZAYQ6qf1dB3n8xcD-2_l30EbreHw2O8-PXwzcP0A1wUOO6Sn4brQJk9ENwAi_EjpvrPwEFdl1p |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1ba9RAFB5KC8UXL62XaK2jSPEl22SSTWbwqbaua3UX0ZYWEcJc2aVuNmwaUJ_8CYL_0F_imcmlrlYQ35bMSZacfDPnMud8g9DjSMCIIX2fi9D4sSDUp0RJnwnKpI65CITNQ47GyfA4Pjztn66gp20vTM0P0SXc7Mxw67Wd4IUyuxekoRMx64Fxs817a3ESUAvpg7cdd5T1dFy0BTbWZ7AEt7RCAdntbl0yRmtWr59scSQvQT-mPtjiMs_zzwLKXx1bZ5kG19CH9p3qgpSzXnUuevLLb3SP__nS19HVxmPFezXEbqAVnW-gzb0covXZZ7yDXQ2pS85voPVRs1W_ib4fAUr0j6_flD0_oOb-wGW1MFxqrHTXNAkS1pIqXE54oTFvSFLw3ODJtCjA1M6KqoTrCkte2fwEzi0HM1yb5rjtRcc2n4yNhlAC8_rUX-yaSBfVDKuGYbS8iY4Hz4_2h35zAoQv7f6mz6mA-DWSQoexThWlkhuiCO_HCr6oViljIo0ZpcpQInnESchZHGud0DBVqYhuodV8nus7CAdC6iAxlBqVgg3mrE-CVFrqotSEjEYeetJCIZMNPbo9peNjVhM7kwx0nznde-hRJ1rUnCCXCe04PHUSfHFmi-jSfnYyfpGx4D3ZPwxPsnce2l4CXHcDoeBfMEo8tNUiMGsWmBIiNogTwXcl8EcPu2FYGux-D8_1vLIyLEgYBISJh27XgL14eASOXcICD6VLUO4ELO348kg-nTj68YQmDDQGCnNI_bsKsuGzkftx999FH6D1NweD7PXL8at76Ap4p3FdIr-FVgEx-j54gOdi2830n9vMXCE |
| 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=Three-dimensional+surface+deformation-based+shape+analysis+of+hippocampus+and+caudate+nucleus+in+children+with+fetal+alcohol+spectrum+disorders&rft.jtitle=Human+brain+mapping&rft.au=Joseph%2C+Jesuchristopher&rft.au=Warton%2C+Christopher&rft.au=Jacobson%2C+Sandra+W&rft.au=Jacobson%2C+Joseph+L&rft.date=2014-02-01&rft.eissn=1097-0193&rft.volume=35&rft.issue=2&rft.spage=659&rft_id=info:doi/10.1002%2Fhbm.22209&rft_id=info%3Apmid%2F23124690&rft.externalDocID=23124690 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1065-9471&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1065-9471&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1065-9471&client=summon |