Extracting orthogonal subject- and condition-specific signatures from fMRI data using whole-brain effective connectivity.

ABSTRACT: The study of brain communication based on fMRI data is often limited because such measurements are a mixture of session-to-session variability with subject- and condition-related information. Disentangling these contributions is crucial for real-life applications, in particular when only a few recording sessions are available. The present study aims to define a reliable standard for the extraction of multiple signatures from fMRI data, while verifying that they do not mix information about the different modalities (e.g., subjects and conditions such as tasks performed by them). In particular, condition-specific signatures should not be contaminated by subject-related information, since they aim to generalize over subjects. Practically, signatures correspond to subnetworks of directed inter

SUBMITTER: Pallares V 

PROVIDER: S-EPMC6057306 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature