Reply to Lockhart et al.: Advancing the understanding of sex differences in functional brain organization with innovative AI tools.
作者信息
Ryali Srikanth, Zhang Yuan, Supekar Kaustubh, Menon Vinod
机构信息
Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305.
Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305.
出版信息
Proc Natl Acad Sci U S A. 2025 Jan 14;122(2):e2419736121. doi: 10.1073/pnas.2419736121. Epub 2025 Jan 2.
Abstract
摘要
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本文引用的文献
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Functional brain networks are associated with both sex and gender in children.功能性脑网络与儿童的性别有关。
Sci Adv. 2024 Jul 12;10(28):eadn4202. doi: 10.1126/sciadv.adn4202.
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Male-female comparisons are powerful in biomedical research - don't abandon them.在生物医学研究中，男女对比作用显著——不要摒弃它们。
Nature. 2024 May;629(8010):37-40. doi: 10.1038/d41586-024-01205-2.
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Why it's essential to study sex and gender, even as tensions rise.为何即便紧张局势加剧，研究性与性别仍至关重要。
Nature. 2024 May;629(8010):7-8. doi: 10.1038/d41586-024-01207-0.
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Deep learning models reveal replicable, generalizable, and behaviorally relevant sex differences in human functional brain organization.深度学习模型揭示了人类功能大脑组织中可复制、可推广且与行为相关的性别差异。
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