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Molecular Psychiatry|September 2, 2018
Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working GroupAbraham Nunes, Hugo G Schnack, Christopher R K Ching, 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.Journal of Psychiatric Research|March 18, 2019
Association between solar insolation and a history of suicide attempts in bipolar I disorderMichael Bauer, Tasha Glenn, Martin Alda, et al.Human Brain Mapping|July 30, 2020
What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working GroupChristopher R K Ching, Derrek P Hibar, Tiril P Gurholt, et al.International Journal of Bipolar Disorders|September 1, 2021
Variations in seasonal solar insolation are associated with a history of suicide attempts in bipolar I disorderMichael Bauer, Tasha Glenn, Eric D Achtyes, et al.Molecular Psychiatry|May 20, 2020
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working groupLaura K M Han, Richard Dinga, Tim Hahn, et al.Journal of Psychosomatic Research|August 6, 2022
Association between polarity of first episode and solar insolation in bipolar I disorderMichael Bauer, Tasha Glenn, Eric D Achtyes, et al.International Journal of Bipolar Disorders|December 23, 2024
Association between a large change between the minimum and maximum monthly values of solar insolation and a history of suicide attempts in bipolar I disorderPhilipp Ritter, Tasha Glenn, Eric D Achtyes, et al.International Journal of Bipolar Disorders|June 22, 2023
Exploratory study of ultraviolet B (UVB) radiation and age of onset of bipolar disorderMichael Bauer, Tasha Glenn, Eric D Achtyes, et al.Pageof 17