Evaluation of behavioral variance/covariance explained by the neuroimaging data through a pattern-based regression.

ABSTRACT: Neuroimaging data have been widely used to understand the neural bases of human behaviors. However, most studies were either based on a few predefined regions of interest or only able to reveal limited vital regions, hence not providing an overarching description of the relationship between neuroimaging and behaviors. Here, we proposed a voxel-based pattern regression that not only could investigate the overall brain-associated variance (BAV) for a given behavioral measure but could also evaluate the shared neural bases between different behaviors across multiple neuroimaging data. The proposed method demonstrated consistently high reliability and accuracy through comprehensive simulations. We further implemented this approach on real data of adolescents (IMAGEN project, n = 2089) and adul

SUBMITTER: Chen D 

PROVIDER: S-EPMC10941514 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature