Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.
Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States.
Neuroimage. 2021 Jul 15;235:117963. doi: 10.1016/j.neuroimage.2021.117963. Epub 2021 Apr 2.
A major goal of human neuroscience is to relate differences in brain function to differences in behavior across people. Recent work has established that whole-brain functional connectivity patterns are relatively stable within individuals and unique across individuals, and that features of these patterns predict various traits. However, while functional connectivity is most often measured at rest, certain tasks may enhance individual signals and improve sensitivity to behavior differences. Here, we show that compared to the resting state, functional connectivity measured during naturalistic viewing-i.e., movie watching-yields more accurate predictions of trait-like phenotypes in the domains of both cognition and emotion. Traits could be predicted using less than three minutes of data from single video clips, and clips with highly social content gave the most accurate predictions. Results suggest that naturalistic stimuli amplify individual differences in behaviorally relevant brain networks.
人类神经科学的主要目标之一是将大脑功能的差异与个体之间的行为差异联系起来。最近的研究已经证实，全脑功能连接模式在个体内部相对稳定，在个体之间具有独特性，并且这些模式的特征可以预测各种特征。然而，虽然功能连接通常在休息时进行测量，但某些任务可能会增强个体信号并提高对行为差异的敏感性。在这里，我们表明与静息状态相比，在自然观看期间（即观看电影）测量的功能连接可以更准确地预测认知和情感领域的特质样表型。使用单个视频剪辑的不到三分钟的数据即可预测特征，并且具有高度社交内容的剪辑可以提供最准确的预测。结果表明，自然刺激会放大与行为相关的大脑网络中的个体差异。
