Exploring potential resting-state EEG biomarkers of obsessive-compulsive disorder based on explainable machine learning analysis of independent training and test samples

Abstract Background At present, the clinical diagnosis of obsessive-compulsive disorder (OCD) is primarily based on interviews with patients by experienced psychiatrists, which is inherently limited by its subjectivity. Therefore, there is a pressing clinical need to identify objective biomarkers of...

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Autori principali:	Zongya Zhao, Junming Wang, Yanxiang Niu, Mengyue Qiu, Mingjie Zhu, Mingcai Li, Huicong Ren, Zhixian Gao, Chang Wang, Wu Ren, Xuezhi Zhou, Mingchao Qi, Zhaohui Zhang, Zihao Xu, Yi Yu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2025-11-01
Serie:	BMC Psychiatry
Soggetti:	Obsessive compulsive disorder EEG biomarker Explainable machine learning SHAP
Accesso online:	https://doi.org/10.1186/s12888-025-07583-9
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