Ontology highlight
ABSTRACT:
SUBMITTER: Kochunov P
PROVIDER: S-EPMC4387079 | biostudies-literature | 2015 May
REPOSITORIES: biostudies-literature
Kochunov Peter P Jahanshad Neda N Marcus Daniel D Winkler Anderson A Sprooten Emma E Nichols Thomas E TE Wright Susan N SN Hong L Elliot LE Patel Binish B Behrens Timothy T Jbabdi Saad S Andersson Jesper J Lenglet Christophe C Yacoub Essa E Moeller Steen S Auerbach Eddie E Ugurbil Kamil K Sotiropoulos Stamatios N SN Brouwer Rachel M RM Landman Bennett B Lemaitre Hervé H den Braber Anouk A Zwiers Marcel P MP Ritchie Stuart S van Hulzen Kimm K Almasy Laura L Curran Joanne J deZubicaray Greig I GI Duggirala Ravi R Fox Peter P Martin Nicholas G NG McMahon Katie L KL Mitchell Braxton B Olvera Rene L RL Peterson Charles C Starr John J Sussmann Jessika J Wardlaw Joanna J Wright Margie M Boomsma Dorret I DI Kahn Rene R de Geus Eco J C EJ Williamson Douglas E DE Hariri Ahmad A van 't Ent Dennis D Bastin Mark E ME McIntosh Andrew A Deary Ian J IJ Hulshoff Pol Hilleke E HE Blangero John J Thompson Paul M PM Glahn David C DC Van Essen David C DC
NeuroImage 20150304
The degree to which genetic factors influence brain connectivity is beginning to be understood. Large-scale efforts are underway to map the profile of genetic effects in various brain regions. The NIH-funded Human Connectome Project (HCP) is providing data valuable for analyzing the degree of genetic influence underlying brain connectivity revealed by state-of-the-art neuroimaging methods. We calculated the heritability of the fractional anisotropy (FA) measure derived from diffusion tensor imag ...[more]