Visual Statistical Learning Alters Low-Dimensional Cortical Architecture.

ABSTRACT: Our brains are in a constant state of generating predictions, implicitly extracting environmental regularities to support later cognition and behavior, a process known as statistical learning (SL). While prior work investigating the neural basis of SL has focused on the activity of single brain regions in isolation, much less is known about how distributed brain areas coordinate their activity to support such learning. Using fMRI and a classic visual SL task, we investigated changes in whole-brain functional architecture as human female and male participants implicitly learned to associate pairs of images, and later, when predictions generated from learning were violated. By projecting individuals' patterns of cortical and subcortical functional connectivity onto a low-dimensional manifold

SUBMITTER: Rowchan K 

PROVIDER: S-EPMC12019107 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature