COMMITMENT
Publications
2023
Bharadhwaj, V. S., S. Mubeen, A. Sargsyan, G. M. Jose, S. Geissler, M. Hofmann-Apitius, D. Domingo-Fernández, and A. T. Kodamullil (2023). "Integrative analysis to identify shared mechanisms between schizophrenia and bipolar disorder and their comorbidities." Prog Neuro-Psychopharmacol Biol Psychiatry 122: 110688. doi.org/10.1016/j.pnpbp.2022.110688.
Güldener, U., T. Kessler, M. von Scheidt, J. S. Hawe, B. Gerhard, D. Maier, M. Lachmann, K.-L. Laugwitz, S. Cassese, A. W. Schömig, A. Kastrati, and H. Schunkert (2023). "Machine Learning Identifies New Predictors on Restenosis Risk after Coronary Artery Stenting in 10,004 Patients with Surveillance Angiography." J Clin Med 12(8): 2941. doi.org/10.3390/jcm12082941.
Pedersen, M. L., D. Alnæs, D. van der Meer, S. Fernandez-Cabello, P. Berthet, A. Dahl, R. Kjelkenes, E. Schwarz, W. K. Thompson, D. M. Barch, O. A. Andreassen, and L. T. Westlye (2023). "Computational Modeling of the n-Back Task in the ABCD Study: Associations of Drift Diffusion Model Parameters to Polygenic Scores of Mental Disorders and Cardiometabolic Diseases." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 8(3): 290–299. doi.org/10.1016/j.bpsc.2022.03.012.
2022
Beck, D., A. G. de Lange, M. L. Pedersen, D. Alnaes, Maximov, II, I. Voldsbekk, G. Richard, A. M. Sanders, K. M. Ulrichsen, E. S. Dorum, K. K. Kolskar, E. A. Hogestol, N. E. Steen, S. Djurovic, O. A. Andreassen, J. E. Nordvik, T. Kaufmann, and L. T. Westlye (2022). "Cardiometabolic risk factors associated with brain age and accelerate brain ageing." Hum Brain Mapp 43(2): 700-720. www.ncbi.nlm.nih.gov/pubmed/34626047.
Beck, D., A.-M. G. de Lange, D. Alnæs, I. I. Maximov, M. L. Pedersen, O. D. Leinhard, J. Linge, R. Simon, G. Richard, K. M. Ulrichsen, E. S. Dørum, K. K. Kolskår, A.-M. Sanders, A. Winterton, T. P. Gurholt, T. Kaufmann, N. E. Steen, J. E. Nordvik, O. A. Andreassen, and L. T. Westlye (2022). "Adipose tissue distribution from body MRI is associated with cross-sectional and longitudinal brain age in adults." NeuroImage: Clinical 33: 102949. doi.org/10.1016/j.nicl.2022.102949.
Cao, H., X. Hong, H. Tost, A. Meyer-Lindenberg, and E. Schwarz (2022). "Advancing translational research in neuroscience through multi-task learning." Front Psychiatry 13. doi.org/10.3389/fpsyt.2022.993289.
Cao, H., Y. Zhang, J. Baumbach, P. R. Burton, D. Dwyer, N. Koutsouleris, J. Matschinske, Y. Marcon, S. Rajan, T. Rieg, P. Ryser-Welch, J. Späth, T. C. Consortium, C. Herrmann, and E. Schwarz (2022). "dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning." Bioinformatics. doi.org/10.1093/bioinformatics/btac616.
Dwyer, D. B., M. O. Buciuman, A. Ruef, J. Kambeitz, M. Sen Dong, C. Stinson, L. Kambeitz-Ilankovic, F. Degenhardt, R. Sanfelici, L. A. Antonucci, P. A. Lalousis, J. Wenzel, M. F. Urquijo-Castro, D. Popovic, O. F. Oeztuerk, S. S. Haas, J. Weiske, D. Hauke, S. Neufang, C. Schmidt-Kraepelin, S. Ruhrmann, N. Penzel, T. Lichtenstein, M. Rosen, K. Chisholm, A. Riecher-Rossler, L. Egloff, A. Schmidt, C. Andreou, J. Hietala, T. Schirmer, G. Romer, C. Michel, W. Rossler, C. Maj, O. Borisov, P. M. Krawitz, P. Falkai, C. Pantelis, R. Lencer, A. Bertolino, S. Borgwardt, M. Noethen, P. Brambilla, F. Schultze-Lutter, E. Meisenzahl, S. J. Wood, C. Davatzikos, R. Upthegrove, R. K. R. Salokangas, N. Koutsouleris, and P. Consortium (2022). "Clinical, Brain, and Multilevel Clustering in Early Psychosis and Affective Stages." JAMA Psychiatry. www.ncbi.nlm.nih.gov/pubmed/35583903.
Figueiredo, R. Q., S. D. del Ser, T. Raschka, M. Hofmann-Apitius, A. T. Kodamullil, S. Mubeen, and D. Domingo-Fernández (2022). "Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets." BMC Bioinformatics 23(1): 231. doi.org/10.1186/s12859-022-04765-0.
Li, L., Z. Chen, M. von Scheidt, S. Li, A. Steiner, U. Guldener, S. Koplev, A. Ma, K. Hao, C. Pan, A. J. Lusis, S. Pang, T. Kessler, R. Ermel, K. Sukhavasi, A. Ruusalepp, J. Gagneur, J. Erdmann, J. C. Kovacic, J. L. M. Bjorkegren, and H. Schunkert (2022). "Transcriptome-wide association study of coronary artery disease identifies novel susceptibility genes." Basic Res Cardiol 117(1): 6. www.ncbi.nlm.nih.gov/pubmed/35175464.
Schwarz, E. (2022). "Advancing Psychiatric Biomarker Discovery Through Multimodal Machine Learning." Biol Psychiatry 91(6): 524-525. doi.org/10.1016/j.biopsych.2021.12.009.
2021
Figueiredo, R.Q., Raschka, T., Kodamullil, A.T., Hofmann-Apitius, M., Mubeen, S. and Domingo-Fernandez, D. (2021). "Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanisms." Nucleic Acids Res 49(14): 7939-7953. www.ncbi.nlm.nih.gov/pubmed/34197603.
Koppe, G., Meyer-Lindenberg, A. and Durstewitz, D. (2021). "Deep learning for small and big data in psychiatry." Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 46(1): 176-190. www.ncbi.nlm.nih.gov/pubmed/32668442.
Koutsouleris, N., Dwyer, D.B., Degenhardt, F., Maj, C., Urquijo-Castro, M.F., Sanfelici, R., Popovic, D., Oeztuerk, O., Haas, S.S., Weiske, J., Ruef, A., Kambeitz-Ilankovic, L., Antonucci, L.A., Neufang, S., Schmidt-Kraepelin, C., Ruhrmann, S., Penzel, N., Kambeitz, J., Haidl, T.K., Rosen, M., Chisholm, K., Riecher-Rossler, A., Egloff, L., Schmidt, A., Andreou, C., Hietala, J., Schirmer, T., Romer, G., Walger, P., Franscini, M., Traber-Walker, N., Schimmelmann, B.G., Fluckiger, R., Michel, C., Rossler, W., Borisov, O., Krawitz, P.M., Heekeren, K., Buechler, R., Pantelis, C., Falkai, P., Salokangas, R.K.R., Lencer, R., Bertolino, A., Borgwardt, S., Noethen, M., Brambilla, P., Wood, S.J., Upthegrove, R., Schultze-Lutter, F., Theodoridou, A., Meisenzahl, E. and Consortium, P. (2021). "Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression." JAMA psychiatry 78(2): 195-209. www.ncbi.nlm.nih.gov/pubmed/33263726.
Miranda, L., Paul, R., Putz, B., Koutsouleris, N. and Muller-Myhsok, B. (2021). "Systematic Review of Functional MRI Applications for Psychiatric Disease Subtyping." Front Psychiatry 12: 665536. www.ncbi.nlm.nih.gov/pubmed/34744805.
Schwarz, E., Alnaes, D., Andreassen, O.A., Cao, H., Chen, J., Degenhardt, F., Doncevic, D., Dwyer, D., Eils, R., Erdmann, J., Herrmann, C., Hofmann-Apitius, M., Kaufmann, T., Koutsouleris, N., Kodamullil, A.T., Khuntia, A., Mucha, S., Nothen, M.M., Paul, R., Pedersen, M.L., Quintero, A., Schunkert, H., Sharma, A., Tost, H., Westlye, L.T., Zhang, Y. and Meyer-Lindenberg, A. (2021). "Identifying multimodal signatures underlying the somatic comorbidity of psychosis: the COMMITMENT roadmap." Mol Psychiatry 26(3): 722-724. www.ncbi.nlm.nih.gov/pubmed/33060817.
Schweiger, J.I., Capraz, N., Akdeniz, C., Braun, U., Ebalu, T., Moessnang, C., Berhe, O., Zang, Z., Schwarz, E., Bilek, E., Meyer-Lindenberg, A. and Tost, H. (2021). "Brain structural correlates of upward social mobility in ethnic minority individuals." Social Psychiatry and Psychiatric Epidemiology: 1–11. www.ncbi.nlm.nih.gov/pubmed/34383084.
2020
Karki, R., Madan, S., Gadiya, Y., Domingo-Fernandez, D., Kodamullil, A.T. and Hofmann-Apitius, M. (2020). "Data-Driven Modeling of Knowledge Assemblies in Understanding Comorbidity Between Type 2 Diabetes Mellitus and Alzheimer's Disease." J Alzheimers Dis 78(1): 87-95. www.ncbi.nlm.nih.gov/pubmed/32925069.
Quintero, A., Hubschmann, D., Kurzawa, N., Steinhauser, S., Rentzsch, P., Kramer, S., Andresen, C., Park, J., Eils, R., Schlesner, M. and Herrmann, C. (2020). "ShinyButchR: Interactive NMF-based decomposition workflow of genome-scale datasets." Biol Methods Protoc 5(1): bpaa022. www.ncbi.nlm.nih.gov/pubmed/33376806.