Masked features of task states found in individual brain networks.

ABSTRACT: Completing complex tasks requires that we flexibly integrate information across brain areas. While studies have shown how functional networks are altered during different tasks, this work has generally focused on a cross-subject approach, emphasizing features that are common across people. Here we used extended sampling "precision" fMRI data to test the extent to which task states generalize across people or are individually specific. We trained classifiers to decode state using functional network data in single-person datasets across 5 diverse task states. Classifiers were then tested on either independent data from the same person or new individuals. Individualized classifiers were able to generalize to new participants. However, classification performance was significantly higher within

SUBMITTER: Porter A 

PROVIDER: S-EPMC10016040 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature