A Connectivity-Based Psychometric Prediction Framework for Brain-Behavior Relationship Studies.

ABSTRACT: The recent availability of population-based studies with neuroimaging and behavioral measurements opens promising perspectives to investigate the relationships between interindividual variability in brain regions' connectivity and behavioral phenotypes. However, the multivariate nature of connectivity-based prediction model severely limits the insight into brain-behavior patterns for neuroscience. To address this issue, we propose a connectivity-based psychometric prediction framework based on individual regions' connectivity profiles. We first illustrate two main applications: 1) single brain region's predictive power for a range of psychometric variables and 2) single psychometric variable's predictive power variation across brain region. We compare the patterns of brain-behavior provide

SUBMITTER: Wu J 

PROVIDER: S-EPMC8660224 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature