scispace - formally typeset
H

Henrik Walter

Researcher at Humboldt University of Berlin

Publications -  613
Citations -  29392

Henrik Walter is an academic researcher from Humboldt University of Berlin. The author has contributed to research in topics: Medicine & Functional magnetic resonance imaging. The author has an hindex of 81, co-authored 543 publications receiving 23060 citations. Previous affiliations of Henrik Walter include University of Edinburgh & University of Bonn.

Papers
More filters
Journal ArticleDOI

Subcortical brain alterations in major depressive disorder : findings from the ENIGMA Major Depressive Disorder working group

TL;DR: Three-dimensional brain magnetic resonance imaging data was meta-analyzed to identify subcortical brain volumes that robustly discriminate major depressive disorder patients from healthy controls and showed robust smaller hippocampal volumes in MDD patients, moderated by age of onset and first episode versus recurrent episode status.
Journal ArticleDOI

Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.

Lianne Schmaal, +93 more
- 01 Jun 2017 - 
TL;DR: In this article, the authors present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD.
Journal ArticleDOI

Common genetic variants influence human subcortical brain structures.

Derrek P. Hibar, +344 more
- 09 Apr 2015 - 
TL;DR: In this paper, the authors conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts.
Journal ArticleDOI

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

Paul M. Thompson, +332 more
TL;DR: The ENIGMA Consortium has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected.