首页|The power of many brains:Catalyzing neuropsychiatric discovery through open neuroimaging data and large-scale collaboration

The power of many brains:Catalyzing neuropsychiatric discovery through open neuroimaging data and large-scale collaboration

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Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric dis-orders.By pooling images from various cohorts,statistical power has increased,enabling the detection of subtle abnormalities and robust associations,and fostering new research methods.Global collabora-tions in imaging have furthered our knowledge of the neurobiological foundations of brain disorders and aided in imaging-based prediction for more targeted treatment.Large-scale magnetic resonance imaging initiatives are driving innovation in analytics and supporting generalizable psychiatric studies.We also emphasize the significant role of big data in understanding neural mechanisms and in the early identification and precise treatment of neuropsychiatric disorders.However,challenges such as data har-monization across different sites,privacy protection,and effective data sharing must be addressed.With proper governance and open science practices,we conclude with a projection of how large-scale imaging resources and collaborations could revolutionize diagnosis,treatment selection,and outcome prediction,contributing to optimal brain health.

Magnetic resonance imagingNeuropsychiatric disordersBig dataOpen scienceArtificial intelligence

Bin Lu、Xiao Chen、Francisco Xavier Castellanos、Paul M.Thompson、Xi-Nian Zuo、Yu-Feng Zang、Chao-Gan Yan

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CAS Key Laboratory of Behavioral Science,Institute of Psychology,Beijing 100101,China

Department of Psychology,University of Chinese Academy of Sciences,Beijing 100101,China

Department of Child and Adolescent Psychiatry,NYU Grossman School of Medicine,New York 10016,USA

Nathan Kline Institute for Psychiatric Research,Orangeburg 10962,USA

Imaging Genetics Center,Mark & Mary Stevens Institute for Neuroimaging & Informatics,Keck School of Medicine,University of Southern California,Los Angeles 90033,USA

Developmental Population Neuroscience Research Center,IDG/McGovern Institute for Brain Research,Beijing Normal University,Beijing 100875,China

National Basic Science Data Center,Beijing 100190,China

Centre for Cognition and Brain Disorders,The Affiliated Hospital of Hangzhou Normal University,Hangzhou 310004,China

Institute of Psychological Science,Hangzhou Normal University,Hangzhou 310030,China

Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairment,Hangzhou 311121,China

International Big-Data Center for Depression Research,Institute of Psychology,Chinese Academy of Sciences,Beijing 100101,China

Magnetic Resonance Imaging Research Center,Institute of Psychology,Chinese Academy of Sciences,Beijing 100101,China

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Sci-Tech Innovation 2030-Major Projects of Brain Science and Braininspired Intelligence Technology国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金中国科学院重点研究项目Beijing Nova Program of Science and TechnologyBeijing Nova Program of Science and Technology北京市自然科学基金Scientific Foundation of Institute of Psychology,Chinese Academy of SciencesScientific Foundation of Institute of Psychology,Chinese Academy of Sciences国家留学基金委项目

2021ZD020060082122035816717748163003132300933ZDBS-SSW-JSC006Z19110000111910420230484465J230040E3CX1425E2CX4425YZ202104910248

2024

10.1016/j.scib.2024.03.006

科学通报(英文版)
中国科学院

科学通报(英文版)

CSTPCD
ISSN：1001-6538
年,卷(期)：2024.69(10)
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