Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Saclay CEA Centre, Neurospin, Gif-Sur-Yvette Cedex, France.
PLoS Biol. 2024 Sep 24;22(9):e3002808. doi: 10.1371/journal.pbio.3002808. eCollection 2024 Sep.
Neural activity and behavior vary within an individual (states) and between individuals (traits). However, the mapping of state-trait neural variation to behavior is not well understood. To address this gap, we quantify moment-to-moment changes in brain-wide co-activation patterns derived from resting-state functional magnetic resonance imaging. In healthy young adults, we identify reproducible spatiotemporal features of co-activation patterns at the single-subject level. We demonstrate that a joint analysis of state-trait neural variations and feature reduction reveal general motifs of individual differences, encompassing state-specific and general neural features that exhibit day-to-day variability. The principal neural variations co-vary with the principal variations of behavioral phenotypes, highlighting cognitive function, emotion regulation, alcohol and substance use. Person-specific probability of occupying a particular co-activation pattern is reproducible and associated with neural and behavioral features. This combined analysis of state-trait variations holds promise for developing reproducible neuroimaging markers of individual life functional outcome.
神经活动和行为在个体内部(状态)和个体之间(特征)都存在差异。然而,状态-特征神经变化与行为的映射关系还不是很清楚。为了解决这一差距,我们从静息态功能磁共振成像中量化了大脑整体共激活模式的瞬间变化。在健康的年轻成年人中,我们在单个主体水平上确定了共激活模式的可重复的时空特征。我们证明,对状态-特征神经变化和特征减少的联合分析揭示了个体差异的一般模式,包括表现出日常可变性的特定状态和一般神经特征。主要神经变化与行为表型的主要变化共变,突出了认知功能、情绪调节、酒精和物质使用。占据特定共激活模式的特定个体的可能性是可重复的,并且与神经和行为特征相关。这种状态-特征变化的综合分析有望开发出可重复的神经影像学个体生活功能结果的标志物。