科学通报(英文版)2024，Vol.69Issue(10) ：1536-1555.DOI:10.1016/j.scib.2024.03.006

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

Bin Lu Xiao Chen Francisco Xavier Castellanos Paul M.Thompson Xi-Nian Zuo Yu-Feng Zang Chao-Gan Yan
科学通报(英文版)2024，Vol.69Issue(10) ：1536-1555.DOI:10.1016/j.scib.2024.03.006
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  • NETL
  • NSTL
  • 中国科学院心理研究所
  • 万方数据

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

Bin Lu 1Xiao Chen 1Francisco Xavier Castellanos 2Paul M.Thompson 3Xi-Nian Zuo 4Yu-Feng Zang 5Chao-Gan Yan6
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作者信息

  • 1. CAS Key Laboratory of Behavioral Science,Institute of Psychology,Beijing 100101,China;Department of Psychology,University of Chinese Academy of Sciences,Beijing 100101,China
  • 2. Department of Child and Adolescent Psychiatry,NYU Grossman School of Medicine,New York 10016,USA;Nathan Kline Institute for Psychiatric Research,Orangeburg 10962,USA
  • 3. Imaging Genetics Center,Mark & Mary Stevens Institute for Neuroimaging & Informatics,Keck School of Medicine,University of Southern California,Los Angeles 90033,USA
  • 4. 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
  • 5. 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
  • 6. CAS Key Laboratory of Behavioral Science,Institute of Psychology,Beijing 100101,China;Department of Psychology,University of Chinese Academy of Sciences,Beijing 100101,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
  • 折叠

Abstract

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.

Key words

Magnetic resonance imaging/Neuropsychiatric disorders/Big data/Open science/Artificial intelligence

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基金项目

Sci-Tech Innovation 2030-Major Projects of Brain Science and Braininspired Intelligence Technology(2021ZD0200600)

国家自然科学基金(82122035)

国家自然科学基金(81671774)

国家自然科学基金(81630031)

国家自然科学基金(32300933)

中国科学院重点研究项目(ZDBS-SSW-JSC006)

Beijing Nova Program of Science and Technology(Z191100001119104)

Beijing Nova Program of Science and Technology(20230484465)

北京市自然科学基金(J230040)

Scientific Foundation of Institute of Psychology,Chinese Academy of Sciences(E3CX1425)

Scientific Foundation of Institute of Psychology,Chinese Academy of Sciences(E2CX4425YZ)

国家留学基金委项目(202104910248)

出版年

2024
科学通报(英文版)
中国科学院

科学通报(英文版)

CSTPCD
ISSN：1001-6538
参考文献量215
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