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Nils Opel

Researcher at University of Münster

Publications -  168
Citations -  6137

Nils Opel is an academic researcher from University of Münster. The author has contributed to research in topics: Major depressive disorder & Medicine. The author has an hindex of 31, co-authored 125 publications receiving 3901 citations.

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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.
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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.
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The genetic architecture of the human cerebral cortex

Katrina L. Grasby, +359 more
- 20 Mar 2020 - 
TL;DR: Results support the radial unit hypothesis that different developmental mechanisms promote surface area expansion and increases in thickness and find evidence that brain structure is a key phenotype along the causal pathway that leads from genetic variation to differences in general cognitive function.
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ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

Paul M. Thompson, +213 more
TL;DR: This review summarizes the last decade of work by the ENIGMA Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease, and highlights the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings.
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Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data

TL;DR: A relatively small degree of structural impairment in the subgenual cingulate cortex before therapy seems to be associated with successful treatment with ECT, and neuroimaging techniques could prove to be promising tools for predicting the individual therapeutic effectiveness of ECT.