首页|Dissecting Psychiatric Heterogeneity and Comorbidity with Core Region-Based Machine Learning

Dissecting Psychiatric Heterogeneity and Comorbidity with Core Region-Based Machine Learning

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Machine learning approaches are increasingly being applied to neuroimaging data from patients with psy-chiatric disorders to extract brain-based features for diagno-sis and prognosis.The goal of this review is to discuss recent practices for evaluating machine learning applications to obsessive-compulsive and related disorders and to advance a novel strategy of building machine learning models based on a set of core brain regions for better performance,inter-pretability,and generalizability.Specifically,we argue that a core set of co-altered brain regions(namely'core regions')comprising areas central to the underlying psychopathology enables the efficient construction of a predictive model to identify distinct symptom dimensions/clusters in individual patients.Hypothesis-driven and data-driven approaches are further introduced showing how core regions are identified from the entire brain.We demonstrate a broadly applica-ble roadmap for leveraging this core set-based strategy to accelerate the pursuit of neuroimaging-based markers for diagnosis and prognosis in a variety of psychiatric disorders.

Psychiatric disordersObsessive-compulsive disorderCore regionMagnetic resonance imagingMachine learningNeuroimaging-based diagnosis

Qian Lv、Kristina Zeljic、Shaoling Zhao、Jiangtao Zhang、Jianmin Zhang、Zheng Wang

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School of Psychological and Cognitive Sciences,Beijing Key Laboratory of Behavior and Mental Health,IDG/McGovern Institute for Brain Research,Peking-Tsinghua Center for Life Sciences,Peking University,Beijing 100871,China

School of Health and Psychological Sciences,City,University of London,London EC1V 0HB,UK

Institute of Neuroscience,State Key Laboratory of Neuroscience,CAS Center for Excellence in Brain Science and Intelligence Technology,Chinese Academy of Sciences,Shanghai 200031,China

University of Chinese Academy of Sciences,Beijing 101408,China

Tongde Hospital of Zhejiang Province(Zhejiang Mental Health Center),Zhejiang Office of Mental Health,Hangzhou 310012,China

School of Biomedical Engineering,Hainan University,Haikou 570228,China

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Key-Area Research and Development Program of Guangdong ProvinceNational Natural Science Foundation of ChinaNational Key R&D Program of ChinaPeking-Tsinghua Centre for Life SciencesPeking-Tsinghua Center for Life Sciences

2019B030335001821513032021ZD0204002

2023

10.1007/s12264-023-01057-2

神经科学通报(英文版)
中国科学院上海生命科学研究院

神经科学通报(英文版)

CSTPCDCSCD
影响因子：0.741
ISSN：1673-7067
年,卷(期)：2023.39(8)
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