City Research Online

Items where Author is "Schmaal, L."

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Number of items: 17.

Article

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

Han, L. K. M., Dima, D. ORCID: 0000-0002-2598-0952, Zhu, X. (2023). Editorial: Women in psychiatry 2022: computational psychiatry. Frontiers in Psychiatry, 14, article number 1167498. doi: 10.3389/fpsyt.2023.1167498

Constantinides, C., Han, L. K. M., Alloza, C. (2022). Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium. Molecular Psychiatry, 28(3), pp. 1201-1209. doi: 10.1038/s41380-022-01897-w

Frangou, S., Modabbernia, A., Williams, S. C. R. (2022). Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years. Human Brain Mapping, 43(1), pp. 431-451. doi: 10.1002/hbm.25364

Dima, D. ORCID: 0000-0002-2598-0952, Modabbernia, A., Papachristou, E. (2022). Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years. Human Brain Mapping, 43(1), pp. 452-469. doi: 10.1002/hbm.25320

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

van Erp, T. G. M., Walton, E., Hibar, D.P. (2018). Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process?. Biological Psychiatry, 85(7), e35-e39. doi: 10.1016/j.biopsych.2018.10.003

van Erp, T. G. M., Walton, E., Hibar, D. P. (2018). Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium. Biological Psychiatry, 84(9), pp. 644-654. doi: 10.1016/j.biopsych.2018.04.023

Thompson, P.M., Andreassen, O.A., Arias-Vasquez, A. (2015). ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide.. Neuroimage, 145(Pt B), pp. 389-408. doi: 10.1016/j.neuroimage.2015.11.057

Thompson, P.M., Stein, J.L., Medland, S.E. (2014). The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data.. Brain Imaging and Behavior, 8(2), pp. 153-182. doi: 10.1007/s11682-013-9269-5

Conference or Workshop Item

Zhu, D., Riedel, B. C., Jahanshad, N. (2017). Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model. In: 20th International Conference on Medical Image Computing and Computer Assisted Intervention. Quebec City, Quebec, Canada, 10th - 14th September 2017. 20th International Conference on Medical Image Computing and Computer Assisted Intervention, 10-14 Sep 2017, Quebec City, Canada.

Working Paper

Dima, D. ORCID: 0000-0002-2598-0952, Papachristou, E., Modabbernia, A. Subcortical Volume Trajectories across the Lifespan: Data from 18,605 healthy individuals aged 3-90 years (10.1101/2020.05.05.079475). Cold Spring Harbor Laboratory.

This list was generated on Thu May 1 03:38:11 2025 UTC.