| Using structural MRI to identify bipolar disorders–13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group A Nunes, HG Schnack, CRK Ching, I Agartz, TN Akudjedu, M Alda, ... Molecular psychiatry 25 (9), 2130-2143, 2020 | 126 | 2020 |
| Mediation of the influence of childhood maltreatment on depression relapse by cortical structure: a 2-year longitudinal observational study N Opel, R Redlich, K Dohm, D Zaremba, J Goltermann, J Repple, ... The Lancet Psychiatry 6 (4), 318-326, 2019 | 116 | 2019 |
| Systematic misestimation of machine learning performance in neuroimaging studies of depression C Flint, M Cearns, N Opel, R Redlich, DMA Mehler, D Emden, NR Winter, ... Neuropsychopharmacology 46 (8), 1510-1517, 2021 | 92 | 2021 |
| Quantifying deviations of brain structure and function in major depressive disorder across neuroimaging modalities NR Winter, R Leenings, J Ernsting, K Sarink, L Fisch, D Emden, J Blanke, ... JAMA psychiatry 79 (9), 879-888, 2022 | 77 | 2022 |
| Elevated body-mass index is associated with reduced white matter integrity in two large independent cohorts J Repple, N Opel, S Meinert, R Redlich, T Hahn, NR Winter, C Kaehler, ... Psychoneuroendocrinology 91, 179-185, 2018 | 64 | 2018 |
| Cortical surface area alterations shaped by genetic load for neuroticism N Opel, AT Amare, R Redlich, J Repple, C Kaehler, D Grotegerd, K Dohm, ... Molecular Psychiatry 25 (12), 3422-3431, 2020 | 56 | 2020 |
| Leukemia gene atlas–a public platform for integrative exploration of genome-wide molecular data K Hebestreit, S Gröttrup, D Emden, J Veerkamp, C Ruckert, HU Klein, ... PloS one 7 (6), e39148, 2012 | 56 | 2012 |
| Influence of electroconvulsive therapy on white matter structure in a diffusion tensor imaging study J Repple, S Meinert, I Bollettini, D Grotegerd, R Redlich, D Zaremba, ... Psychological medicine 50 (5), 849-856, 2020 | 28 | 2020 |
| PHOTONAI—A Python API for rapid machine learning model development R Leenings, NR Winter, L Plagwitz, V Holstein, J Ernsting, K Sarink, ... Plos one 16 (7), e0254062, 2021 | 23 | 2021 |
| Childhood maltreatment moderates the influence of genetic load for obesity on reward related brain structure and function in major depression N Opel, R Redlich, J Repple, C Kaehler, D Grotegerd, K Dohm, ... Psychoneuroendocrinology 100, 18-26, 2019 | 21 | 2019 |
| From ‘loose fitting’to high-performance, uncertainty-aware brain-age modelling T Hahn, L Fisch, J Ernsting, NR Winter, R Leenings, K Sarink, D Emden, ... Brain 144 (3), e31-e31, 2021 | 16 | 2021 |
| An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling T Hahn, J Ernsting, NR Winter, V Holstein, R Leenings, M Beisemann, ... Science advances 8 (1), eabg9471, 2022 | 14 | 2022 |
| Smartphone-based self-reports of depressive symptoms using the remote monitoring application in psychiatry (ReMAP): interformat validation study J Goltermann, D Emden, EJ Leehr, K Dohm, R Redlich, U Dannlowski, ... JMIR mental health 8 (1), e24333, 2021 | 11 | 2021 |
| Genetic, individual, and familial risk correlates of brain network controllability in major depressive disorder T Hahn, NR Winter, J Ernsting, M Gruber, MJ Mauritz, L Fisch, R Leenings, ... Molecular psychiatry 28 (3), 1057-1063, 2023 | 10 | 2023 |
| More alike than different: Quantifying deviations of brain structure and function in major depressive disorder across neuroimaging modalities NR Winter, R Leenings, J Ernsting, K Sarink, L Fisch, D Emden, J Blanke, ... arXiv preprint arXiv:2112.10730, 2021 | 10 | 2021 |
| Technical feasibility and adherence of the Remote Monitoring Application in Psychiatry (ReMAP) for the assessment of affective symptoms D Emden, J Goltermann, U Dannlowski, T Hahn, N Opel Journal of Affective Disorders 294, 652-660, 2021 | 9 | 2021 |
| Predicting brain-age from raw t 1-weighted magnetic resonance imaging data using 3d convolutional neural networks L Fisch, J Ernsting, NR Winter, V Holstein, R Leenings, M Beisemann, ... arXiv preprint arXiv:2103.11695, 2021 | 7 | 2021 |
| A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder NR Winter, J Blanke, R Leenings, J Ernsting, L Fisch, K Sarink, C Barkhau, ... JAMA psychiatry, 2024 | 6 | 2024 |
| A complex systems model of temporal fluctuations in depressive symptomatology H Jamalabadi, SG Hofmann, L Teutenberg, D Emden, J Goltermann, ... PsyArXiv, 2022 | 6 | 2022 |
| A network control theory approach to longitudinal symptom dynamics in major depressive disorder T Hahn, H Jamalabadi, D Emden, J Goltermann, J Ernsting, NR Winter, ... arXiv preprint arXiv:2107.10178, 2021 | 6 | 2021 |
