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dc.contributor.authorWhelan, Christopher D.
dc.contributor.authorHibar, Derrek P.
dc.contributor.authorvan Velzen, Laura S.
dc.contributor.authorZannas, Anthony S.
dc.contributor.authorCarrillo-Roa, Tania
dc.contributor.authorMcMahon, Katie
dc.contributor.authorPrasad, Gautam
dc.contributor.authorKelly, Sinéad
dc.contributor.authorFaskowitz, Joshua
dc.contributor.authordeZubiracay, Greig
dc.contributor.authorIglesias, Juan E.
dc.contributor.authorvan Erp, Theo G.M.
dc.contributor.authorFrodl, Thomas
dc.contributor.authorMartin, Nicholas G.
dc.contributor.authorWright, Margaret J.
dc.contributor.authorJahanshad, Neda
dc.contributor.authorSchmaal, Lianne
dc.contributor.authorSämann, Philipp G.
dc.contributor.authorThompson, Paul M.
dc.contributor.authorfor the Alzheimer's Disease Neuroimaging Initiative
dc.date.accessioned2017-09-26T14:11:44Z
dc.date.available2017-09-26T14:11:44Z
dc.date.issued2016
dc.identifier.citationChristopher D. Whelan, Derrek P. Hibar, Laura S. van Velzen, Anthony S. Zannas, Tania Carrillo-Roa, Katie McMahon, Gautam Prasad, Sinéad Kelly, Joshua Faskowitz, Greig deZubiracay, Juan E. Iglesias, Theo G.M. van Erp, Thomas Frodl, Nicholas G. Martin, Margaret J. Wright, Neda Jahanshad, Lianne Schmaal, Philipp G. Sämann, Paul M. Thompson, Heritability and reliability of automatically segmented human hippocampal formation subregions, In NeuroImage, Volume 128, 2016, Pages 125-137, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2015.12.039.es_ES
dc.identifier.issn1053-8119
dc.identifier.urihttp://hdl.handle.net/10810/22694
dc.descriptionAvailable online 30 December 2015es_ES
dc.description.abstractThe human hippocampal formation can be divided into a set of cytoarchitecturally and functionally distinct subregions, involved in different aspects of memory formation. Neuroanatomical disruptions within these subregions are associated with several debilitating brain disorders including Alzheimer's disease, major depression, schizophrenia, and bipolar disorder. Multi-center brain imaging consortia, such as the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) consortium, are interested in studying disease effects on these subregions, and in the genetic factors that affect them. For large-scale studies, automated extraction and subsequent genomic association studies of these hippocampal subregionmeasuresmay provide additional insight. Here, we evaluated the test–retest reliability and transplatform reliability (1.5 T versus 3 T) of the subregion segmentationmodule in the FreeSurfer software package using three independent cohorts of healthy adults, one young (Queensland Twins Imaging Study, N= 39), another elderly (Alzheimer's Disease Neuroimaging Initiative, ADNI-2, N =163) and another mixed cohort of healthy and depressed participants (Max Planck Institute, MPIP,N=598).We also investigated agreement between themost recent version of this algorithm (v6.0) and an older version (v5.3), again using the ADNI-2 and MPIP cohorts in addition to a sample from the Netherlands Study for Depression and Anxiety (NESDA) (N=221). Finally, we estimated the heritability (h2) of the segmented subregion volumes using the full sample of young, healthy QTIM twins (N=728). Test–retest reliability was high for all twelve subregions in the 3 T ADNI-2 sample (intraclass correlation coefficient (ICC)=0.70–0.97) andmoderate-to-high in the 4 TQTIM sample (ICC=0.5–0.89). Transplatform reliabilitywas strong for eleven of the twelve subregions (ICC=0.66–0.96); however, the hippocampal fissure was not consistently reconstructed across 1.5 T and 3 T field strengths (ICC = 0.47–0.57). Between-version agreement was moderate for the hippocampal tail, subiculum and presubiculum (ICC = 0.78–0.84; Dice Similarity Coefficient (DSC)=0.55–0.70), and poor for all other subregions (ICC=0.34–0.81; DSC=0.28–0.51). All hippocampal subregion volumes were highly heritable (h2=0.67–0.91). Our findings indicate that eleven of the twelve human hippocampal subregions segmented using FreeSurfer version 6.0 may serve as reliable and informative quantitative phenotypes for future multi-site imaging genetics initiatives such as those of the ENIGMA consortium.es_ES
dc.description.sponsorshipThis work was supported in part by a Consortium grant (U54 EB020403) from the NIH contributing to the Big Data to Knowledge (BD2K) Initiative, including the NIBIB. The study also received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska- Curie grant agreement No 654911 (project “THALAMODEL”). Juan Eugenio Iglesias also acknowledges financial support from the Gipuzkoako Foru Aldundia (Fellows Gipuzkoa Program) and the Spanish Ministry of Economy and Competitiveness grant TEC2014-51882-P. Data collection and sharing for this projectwas funded in part by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging, theNational Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer's Association; Alzheimer's Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California.es_ES
dc.language.isoenges_ES
dc.publisherNeuroImagees_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/654911
dc.relationinfo:eu-repo/grantAgreement/MINECO/TEC2014-51882-P
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectIN-VIVO MRIes_ES
dc.subjectSUBCORTICAL BRAIN VOLUMESes_ES
dc.subjectTEMPORAL-LOBE EPILEPSYes_ES
dc.subjectSURFACE-BASED ANALYSISes_ES
dc.subjectHIGH-RESOLUTION MRIes_ES
dc.subjectCOMMON VARIANTSes_ES
dc.subjectALZHEIMERS-DISEASEes_ES
dc.subjectAUTOMATED SEGMENTATIONes_ES
dc.subjectCOMPUTATIONAL ATLASes_ES
dc.subjectMAJOR DEPRESSIONes_ES
dc.titleHeritability and reliability of automatically segmented human hippocampal formation subregionses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)es_ES
dc.relation.publisherversionhttps://www.journals.elsevier.com/neuroimagees_ES
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S1053811915011520?via%3Dihub
dc.identifier.doi10.1016/j.neuroimage.2015.12.039


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