Effective connectivity of working memory performance: a DCM study of MEG data.

ABSTRACT: Visual working memory (WM) engages several nodes of a large-scale network that includes frontal, parietal, and visual regions; however, little is understood about how these regions interact to support WM behavior. In particular, it is unclear whether network dynamics during WM maintenance primarily represent feedforward or feedback connections. This question has important implications for current debates about the relative roles of frontoparietal and visual regions in WM maintenance. In the current study, we investigated the network activity supporting WM using MEG data acquired while healthy subjects performed a multi-item delayed estimation WM task. We used computational modeling of behavior to discriminate correct responses (high accuracy trials) from two different types of incorrect re

SUBMITTER: Santo-Angles A 

PROVIDER: S-EPMC10944968 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature