摘要
Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric disorders.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 collaborations 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 harmonization 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.
作者
鲁彬
陈骁
Francisco Xavier Castellanos
Paul M.Thompson
左西年
臧玉峰
严超赣
Bin Lu;Xiao Chen;Francisco Xavier Castellanos;Paul M.Thompson;Xi-Nian Zuo;Yu-Feng Zang;Chao-Gan Yan(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;d 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)
基金
supported by the Sci-Tech Innovation 2030-Major Projects of Brain Science and Brain-inspired Intelligence Technology(2021ZD0200600)
the National Natural Science Foundation of China(82122035,81671774,81630031,32300933)
the Key Research Program of the Chinese Academy of Sciences(ZDBS-SSW-JSC006)
Beijing Nova Program of Science and Technology(Z191100001119104 and 20230484465)
Beijing Natural Science Foundation(J230040)
the Scientific Foundation of Institute of Psychology,Chinese Academy of Sciences(E3CX1425,E2CX4425YZ).
