Principal component analysis reveals multiple consistent responses to naturalistic stimuli in children and adults.

ABSTRACT: Functional MRI (fMRI) study of naturalistic conditions, for example, movie watching, usually focuses on shared responses across subjects. However, individual differences have been attracting increasing attention in search of group differences or associations with behavioral outcomes. Individual differences are typically studied by directly modeling the pair-wise intersubject correlation matrix or projecting the relations onto a single dimension. We contend that it is critical to examine whether there are one or more consistent responses underlying the whole sample, because multiple components, if exist, may undermine the intersubject relations using the previous methods. We propose to use principal component analysis (PCA) to examine the heterogeneity of brain responses across subjects and

SUBMITTER: Di X 

PROVIDER: S-EPMC9248318 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature