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Bipolar Disorders|December 11, 2021
Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness-ENIGMA study in 2436 individualsSean R McWhinney, Christoph Abé, Martin Alda, et al.
Psychological Medicine|February 27, 2023
Mega-analysis of association between obesity and cortical morphology in bipolar disorders: ENIGMA study in 2832 participantsSean R McWhinney, Christoph Abé, Martin Alda, et al.
Molecular Psychiatry|April 17, 2021
Association between body mass index and subcortical brain volumes in bipolar disorders-ENIGMA study in 2735 individualsSean R McWhinney, Christoph Abé, Martin Alda, et al.
American Journal of Human Genetics|June 13, 2003
Genome scan meta-analysis of schizophrenia and bipolar disorder, part III: Bipolar disorderRicardo Segurado, Sevilla D Detera-Wadleigh, Douglas F Levinson, et al.
Molecular Psychiatry|December 8, 2019
Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working GroupTianye Jia, Congying Chu, Yun Liu, et al.
Stroke|June 11, 2020
Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter HyperintensitiesNicola J Armstrong, Karen A Mather, Muralidharan Sargurupremraj, et al.
Human Brain Mapping|June 3, 2024
Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders-ENIGMA study in people with bipolar disorders and obesitySean R McWhinney, Jaroslav Hlinka, Eduard Bakstein, et al.
Biological Psychiatry|August 25, 2019
The Association Between Familial Risk and Brain Abnormalities Is Disease Specific: An ENIGMA-Relatives Study of Schizophrenia and Bipolar DisorderSonja M C de Zwarte, Rachel M Brouwer, Ingrid Agartz, et al.
Plos One|July 11, 2013
Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder: A Consortium on Lithium Genetics (ConLiGen) ReportMirko Manchia, Mazda Adli, Nirmala Akula, et al.
Journal of Affective Disorders|January 26, 2026
Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working GroupHui Xin Ng, Christoph Abé, Martin Alda, et al.
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