A Systematic Evaluation of Machine Learning-Based Biomarkers for Major Depressive Disorder.

Autor:	Winter NR; Institute for Translational Psychiatry, University of Münster, Münster, Germany.; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany., Blanke J; Institute for Translational Psychiatry, University of Münster, Münster, Germany., Leenings R; Institute for Translational Psychiatry, University of Münster, Münster, Germany.; Faculty of Mathematics and Computer Science, University of Münster, Münster, Germany., Ernsting J; Institute for Translational Psychiatry, University of Münster, Münster, Germany.; Faculty of Mathematics and Computer Science, University of Münster, Münster, Germany.; Institute for Geoinformatics, University of Münster, Münster, Germany., Fisch L; Institute for Translational Psychiatry, University of Münster, Münster, Germany., Sarink K; Institute for Translational Psychiatry, University of Münster, Münster, Germany., Barkhau C; Institute for Translational Psychiatry, University of Münster, Münster, Germany., Emden D; Institute for Translational Psychiatry, University of Münster, Münster, Germany., Thiel K; Institute for Translational Psychiatry, University of Münster, Münster, Germany., Flinkenflügel K; Institute for Translational Psychiatry, University of Münster, Münster, Germany., Winter A; Institute for Translational Psychiatry, University of Münster, Münster, Germany., Goltermann J; Institute for Translational Psychiatry, University of Münster, Münster, Germany., Meinert S; Institute for Translational Psychiatry, University of Münster, Münster, Germany.; Institute for Translational Neuroscience, University of Münster, Münster, Germany., Dohm K; Institute for Translational Psychiatry, University of Münster, Münster, Germany., Repple J; Institute for Translational Psychiatry, University of Münster, Münster, Germany.; Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany., Gruber M; Institute for Translational Psychiatry, University of Münster, Münster, Germany.; Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany., Leehr EJ; Institute for Translational Psychiatry, University of Münster, Münster, Germany., Opel N; Institute for Translational Psychiatry, University of Münster, Münster, Germany.; Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany.; Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health, Jena, Germany.; German Center for Mental Health (DZPG), Jena, Germany., Grotegerd D; Institute for Translational Psychiatry, University of Münster, Münster, Germany., Redlich R; Institute for Translational Psychiatry, University of Münster, Münster, Germany.; Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health, Jena, Germany.; Department of Psychology, University of Halle, Halle, Germany.; German Center for Mental Health (DZPG), Halle, Germany., Nitsch R; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany.; Institute for Translational Neuroscience, University of Münster, Münster, Germany., Bauer J; Clinic for Radiology, University of Münster, University Hospital Münster, Münster, Germany., Heindel W; Clinic for Radiology, University of Münster, University Hospital Münster, Münster, Germany., Gross J; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany.; Institute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany., Risse B; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany.; Faculty of Mathematics and Computer Science, University of Münster, Münster, Germany.; Institute for Geoinformatics, University of Münster, Münster, Germany., Andlauer TFM; Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany., Forstner AJ; Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany.; Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany., Nöthen MM; Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany., Rietschel M; Department of Genetic Epidemiology, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany., Hofmann SG; Department of Clinical Psychology, Philipps-University Marburg, Marburg, Germany., Pfarr JK; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.; Center for Mind, Brain and Behavior (CMBB), Marburg, Germany., Teutenberg L; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.; Center for Mind, Brain and Behavior (CMBB), Marburg, Germany., Usemann P; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.; Center for Mind, Brain and Behavior (CMBB), Marburg, Germany., Thomas-Odenthal F; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.; Center for Mind, Brain and Behavior (CMBB), Marburg, Germany., Wroblewski A; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.; Center for Mind, Brain and Behavior (CMBB), Marburg, Germany., Brosch K; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.; Center for Mind, Brain and Behavior (CMBB), Marburg, Germany., Stein F; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.; Center for Mind, Brain and Behavior (CMBB), Marburg, Germany., Jansen A; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.; Center for Mind, Brain and Behavior (CMBB), Marburg, Germany.; Core Facility Brain Imaging, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany., Jamalabadi H; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany., Alexander N; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.; Center for Mind, Brain and Behavior (CMBB), Marburg, Germany., Straube B; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.; Center for Mind, Brain and Behavior (CMBB), Marburg, Germany., Nenadic I; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.; Center for Mind, Brain and Behavior (CMBB), Marburg, Germany., Kircher T; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.; Center for Mind, Brain and Behavior (CMBB), Marburg, Germany., Dannlowski U; Institute for Translational Psychiatry, University of Münster, Münster, Germany.; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany., Hahn T; Institute for Translational Psychiatry, University of Münster, Münster, Germany.; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany.
Jazyk:	angličtina
Zdroj:	JAMA psychiatry [JAMA Psychiatry] 2024 Apr 01; Vol. 81 (4), pp. 386-395.
DOI:	10.1001/jamapsychiatry.2023.5083
Abstrakt:	Importance: Biological psychiatry aims to understand mental disorders in terms of altered neurobiological pathways. However, for one of the most prevalent and disabling mental disorders, major depressive disorder (MDD), no informative biomarkers have been identified. Objective: To evaluate whether machine learning (ML) can identify a multivariate biomarker for MDD. Design, Setting, and Participants: This study used data from the Marburg-Münster Affective Disorders Cohort Study, a case-control clinical neuroimaging study. Patients with acute or lifetime MDD and healthy controls aged 18 to 65 years were recruited from primary care and the general population in Münster and Marburg, Germany, from September 11, 2014, to September 26, 2018. The Münster Neuroimaging Cohort (MNC) was used as an independent partial replication sample. Data were analyzed from April 2022 to June 2023. Exposure: Patients with MDD and healthy controls. Main Outcome and Measure: Diagnostic classification accuracy was quantified on an individual level using an extensive ML-based multivariate approach across a comprehensive range of neuroimaging modalities, including structural and functional magnetic resonance imaging and diffusion tensor imaging as well as a polygenic risk score for depression. Results: Of 1801 included participants, 1162 (64.5%) were female, and the mean (SD) age was 36.1 (13.1) years. There were a total of 856 patients with MDD (47.5%) and 945 healthy controls (52.5%). The MNC replication sample included 1198 individuals (362 with MDD [30.1%] and 836 healthy controls [69.9%]). Training and testing a total of 4 million ML models, mean (SD) accuracies for diagnostic classification ranged between 48.1% (3.6%) and 62.0% (4.8%). Integrating neuroimaging modalities and stratifying individuals based on age, sex, treatment, or remission status does not enhance model performance. Findings were replicated within study sites and also observed in structural magnetic resonance imaging within MNC. Under simulated conditions of perfect reliability, performance did not significantly improve. Analyzing model errors suggests that symptom severity could be a potential focus for identifying MDD subgroups. Conclusion and Relevance: Despite the improved predictive capability of multivariate compared with univariate neuroimaging markers, no informative individual-level MDD biomarker-even under extensive ML optimization in a large sample of diagnosed patients-could be identified.
Databáze:	MEDLINE
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