Characterizing directional dynamics of semantic prediction based on inter-regional temporal generalization.

ABSTRACT: The event-related potential/field component N400(m) has been widely used as a neural index for semantic prediction. It has long been hypothesized that feedback information from inferior frontal areas plays a critical role in generating the N400. However, due to limitations in causal connectivity estimation, direct testing of this hypothesis has remained difficult. Here, magnetoencephalography (MEG) data was obtained during a classic N400 paradigm where the semantic predictability of a fixed target noun was manipulated in simple German sentences. To estimate causality, we implemented a novel approach based on machine learning and temporal generalization to estimate the effect of inferior frontal gyrus (IFG) on temporal areas. In this method, a support vector machine (SVM) classifier is trai

SUBMITTER: Mamashli F 

PROVIDER: S-EPMC10888763 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature