Department of Biomedical Engineering, The Pennsylvania State University, PA, USA.
Department of Engineering Science and Mechanics, The Pennsylvania State University, PA, USA.
Neuroimage. 2020 Jul 15;215:116853. doi: 10.1016/j.neuroimage.2020.116853. Epub 2020 Apr 14.
An essential task of neuroscience is to elucidate the relationship between brain activity, brain structure, and human behavior. This study aims to understand this 3-way relationship by studying the population covariance of resting-state functional connectivity, cortical thickness, and behavioral/demographic measures in a large cohort of individuals. Using a data-driven canonical correlation analysis, we found that maximal pairwise correlations between the three modalities are approximately along the same direction across subjects, which is characterized by the change of the overall positive-negative trait of human behavior. More importantly, this behavioral change is associated with a divergent modulation of both resting-state connectivity and cortical thickness across cortical hierarchies between the higher-order cognitive networks and lower-order sensory/motor regions. The findings suggest that the cross-hierarchy contrast of structural and functional brain measures is tightly linked to the overall positive-negative trait of human behavior/demographics.
神经科学的一个基本任务是阐明大脑活动、大脑结构和人类行为之间的关系。本研究旨在通过对大量个体的静息态功能连接、皮质厚度和行为/人口统计学测量的群体协方差进行研究，来理解这种 3 者之间的关系。通过使用数据驱动的典型相关分析，我们发现三种模态之间的最大成对相关性在个体之间大致沿着相同的方向，其特征是人类行为的整体正负特征的变化。更重要的是，这种行为变化与静息态连接和皮质厚度之间的皮质层次之间的高阶认知网络和低阶感觉/运动区域之间的发散调制有关。研究结果表明，结构和功能脑测量的跨层次对比与人类行为/人口统计学的整体正负特征密切相关。
