Disentangling large-scale brain dynamics and their links to behavior during the emotional face matching task.

ABSTRACT: Emotion processing engages multiple large-scale brain networks. However, prior investigations relying on a priori, contrast-based models of brain activity obscure networks' distinct temporal dynamics and roles in task performance. Here, we performed tensor independent component analysis to identify and track concurrent brain processes, including those with non-canonical dynamics, during the emotional face matching task (EFMT) in healthy young adults (n = 413; n = 416 replication). Ten EFMT-recruited large-scale brain networks were identified, reflecting flexible recoupling of visual association cortex to diverse non-visual networks. These networks collectively engaged 74% of cortex and more strongly explained variability in cognition and a performance-based index of emotion interference th

SUBMITTER: Korponay C 

PROVIDER: S-EPMC12332188 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature