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Anjanibhargavi Ragothaman

Researcher at Oregon Health & Science University

Publications -  21
Citations -  1381

Anjanibhargavi Ragothaman is an academic researcher from Oregon Health & Science University. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 6, co-authored 16 publications receiving 952 citations. Previous affiliations of Anjanibhargavi Ragothaman include University of Southern California.

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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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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.
Journal ArticleDOI

Mapping Subcortical Brain Alterations in 22q11.2 Deletion Syndrome : Effects of Deletion Size and Convergence With Idiopathic Neuropsychiatric Illness

Christopher R.K. Ching, +57 more
TL;DR: In the largest neuroimaging study of 22q11DS to date, the authors found widespread alterations to subcortical brain structures, which were affected by deletion size and psychotic illness.
Posted ContentDOI

The genetic architecture of the human cerebral cortex

Katrina L. Grasby, +438 more
- 03 Sep 2018 - 
TL;DR: A genome-wide association meta-analysis of brain MRI data from 35,660 individuals with replication in 15,578 individuals found significant enrichment for loci influencing total surface area within regulatory elements active during prenatal cortical development, supporting the radial unit hypothesis.
Posted ContentDOI

Genetic determinants of cortical structure (thickness, surface area and volumes) among disease free adults in the CHARGE Consortium

Edith Hofer, +224 more
- 09 Sep 2018 - 
TL;DR: It is found that genetic heterogeneity between cortical measures and brain regions, and 161 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways are identified, which are a rich resource for studies of the biological mechanisms behind cortical development and aging.