Ontology highlight
ABSTRACT:
SUBMITTER: Schmaal L
PROVIDER: S-EPMC4879183 | biostudies-literature | 2016 Jun
REPOSITORIES: biostudies-literature
Schmaal L L Veltman D J DJ van Erp T G M TG Sämann P G PG Frodl T T Jahanshad N N Loehrer E E Tiemeier H H Hofman A A Niessen W J WJ Vernooij M W MW Ikram M A MA Wittfeld K K Grabe H J HJ Block A A Hegenscheid K K Völzke H H Hoehn D D Czisch M M Lagopoulos J J Hatton S N SN Hickie I B IB Goya-Maldonado R R Krämer B B Gruber O O Couvy-Duchesne B B Rentería M E ME Strike L T LT Mills N T NT de Zubicaray G I GI McMahon K L KL Medland S E SE Martin N G NG Gillespie N A NA Wright M J MJ Hall G B GB MacQueen G M GM Frey E M EM Carballedo A A van Velzen L S LS van Tol M J MJ van der Wee N J NJ Veer I M IM Walter H H Schnell K K Schramm E E Normann C C Schoepf D D Konrad C C Zurowski B B Nickson T T McIntosh A M AM Papmeyer M M Whalley H C HC Sussmann J E JE Godlewska B R BR Cowen P J PJ Fischer F H FH Rose M M Penninx B W J H BW Thompson P M PM Hibar D P DP
Molecular psychiatry 20150630 6
The pattern of structural brain alterations associated with major depressive disorder (MDD) remains unresolved. This is in part due to small sample sizes of neuroimaging studies resulting in limited statistical power, disease heterogeneity and the complex interactions between clinical characteristics and brain morphology. To address this, we meta-analyzed three-dimensional brain magnetic resonance imaging data from 1728 MDD patients and 7199 controls from 15 research samples worldwide, to identi ...[more]