Structural neuroimaging biomarkers for obsessive-compulsive disorder in the ENIGMA-OCD consortium: medication matters
- PMID: 33033241
- PMCID: PMC7598942
- DOI: 10.1038/s41398-020-01013-y
Structural neuroimaging biomarkers for obsessive-compulsive disorder in the ENIGMA-OCD consortium: medication matters
Abstract
No diagnostic biomarkers are available for obsessive-compulsive disorder (OCD). Here, we aimed to identify magnetic resonance imaging (MRI) biomarkers for OCD, using 46 data sets with 2304 OCD patients and 2068 healthy controls from the ENIGMA consortium. We performed machine learning analysis of regional measures of cortical thickness, surface area and subcortical volume and tested classification performance using cross-validation. Classification performance for OCD vs. controls using the complete sample with different classifiers and cross-validation strategies was poor. When models were validated on data from other sites, model performance did not exceed chance-level. In contrast, fair classification performance was achieved when patients were grouped according to their medication status. These results indicate that medication use is associated with substantial differences in brain anatomy that are widely distributed, and indicate that clinical heterogeneity contributes to the poor performance of structural MRI as a disease marker.
Conflict of interest statement
Dr. Baker has received research support from the National Institute of Mental Health (NIMH) and Valera Health. Dr. Brennan has received consulting fees from Rugen Therapeutics and Nobilis Therapeutics and research grant support from Eli Lilly, Transcept Pharmaceuticals, and Biohaven Pharmaceuticals. Dr. Walitza has received lecture honoraria Opopharma in the last 3 years. Her work was supported in the last 3 years by the Swiss National Science Foundation (SNF), diverse EU FP7s, HSM Hochspezialisierte Medizin of the Kanton Zurich, Switzerland, Bfarm Germany, Zinep, Hartmann Müller Stiftung, Olga Mayenfisch. Dr. Dan J. Stein has received research grants and/or consultancy honoraria from Lundbeck and Sun in the past 3 years. Dr. Paul M. Thompson has received research grant support from Biogen, Inc., for research unrelated to the topic of this manuscript. Dr. Ivanov has received honoraria from Lundbeck as a member of the Data Safety Monitoring Committee and research grants from the National Institute on Drug Abuse in the last 3 years. Dr. Pittenger has received research support and/or honoraria for consultation from Biohaven Pharmaceuticals, Blackthorn Therapeutics, Abide Therapeutics, and Brainsway, and royalties or honoraria from Oxford University Press and Elsevier in the past 3 years. Dr. Feusner has received an honorarium from Pfizer and consultation fees from NOCD, Inc. Dr. Piacentini has received research support from Pfizer Pharmaceuticals for research unrelated to the topic of this manuscript. Dr. Soreni has received support for Investigator Initiated Clinical Trial from Lundbeck LLC unrelated to the topic of this study. Dr. Buitelaar has been in the past 3 years a consultant to/member of advisory board of/and/or speaker for Shire, Roche, Medice, and Servier. He is not an employee of any of these companies, and not a stock shareholder of any of these companies. He has no other financial or material support, including expert testimony, patents, royalties. Dr. Mataix-Cols receives royalties for contributing articles to UpToDate (Wolters Kluwer Health), and for editorial work from Elsevier, all unrelated to the current work. In the last three years, Dr. Simpson has received research support for an industry-sponsored clinical trial from Biohaven Pharmaceuticals, royalties from UpToDate, Inc, and a stipend from JAMA Psychiatry for her role as Associate Editor. Dr. Tolin has received research support from Biohaven Pharmaceuticals. All other individually-named authors in- and outside of the ENIGMA-OCD working group reported no biomedical financial interests or potential conflicts of interest.
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References
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- American Psychiatric Association. Diagnostic and statistical manual of mental disorders, 5th edn. (DSM-5). Diagn. Stat. Man. Ment. Disord.280, 10.1176/appi.books.9780890425596.744053. (2013).
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