Brain signatures indexing variation in internal processing during perceptual decision-making.

ABSTRACT: Brain activity is highly variable even while performing the same cognitive task with consequences for performance. Discovering, characterizing, and linking variability in brain activity to internal processes has primarily relied on experimentally inducing changes (e.g., via attention manipulation) to identify neuronal and behavioral consequences or studying spontaneous changes in ongoing brain dynamics. However, changes in internal processing could arise from many factors, such as variation in strategy or arousal, that are independent of experimental conditions. Here we utilize a data-driven clustering method based on modularity-maximation to identify consistent spatial-temporal EEG activity patterns across individual trials and relate this activity to behavioral performance. Subjects (N =

SUBMITTER: Nakuci J 

PROVIDER: S-EPMC9882071 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature