City Research Online

Items where Author is "Ho, T. C."

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Belov, V., Erwin-Grabner, T., Aghajani, M. (2024). Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures. Scientific Reports, 14(1), article number 1084. doi: 10.1038/s41598-023-47934-8

Campos, A. I., Thompson, P. M., Veltman, D. J. (2021). Brain Correlates of Suicide Attempt in 18,925 Participants Across 18 International Cohorts.. Biological Psychiatry, 90(4), pp. 243-252. doi: 10.1016/j.biopsych.2021.03.015

Patel, Y., Parker, N., Shin, J. (2021). Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders. JAMA Psychiatry, 78(1), pp. 47-63. doi: 10.1001/jamapsychiatry.2020.2694

Han, L. K., Dinga, R., Hahn, T. (2020). Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group. Molecular Psychiatry, 26(9), pp. 5124-5139. doi: 10.1038/s41380-020-0754-0

Thompson, P. M., Jahanshad, N., Ching, C. R. (2020). ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries. Translational Psychiatry, 10(1), article number 100. doi: 10.1038/s41398-020-0705-1

de Kovel, C. G. F., Aftanas, L., Aleman, A. (2019). No Alterations of Brain Structural Asymmetry in Major Depressive Disorder: An ENIGMA Consortium Analysis. American Journal of Psychiatry, 176(12), pp. 1039-1049. doi: 10.1176/appi.ajp.2019.18101144

Tozzi, L., Garczarek, L., Janowitz, D. (2019). Interactive impact of childhood maltreatment, depression, and age on cortical brain structure: mega-analytic findings from a large multi-site cohort. Psychological Medicine, 50(6), pp. 1020-1031. doi: 10.1017/s003329171900093x

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