Decoding Spatial Memory Retrieval in Cubical Space Using fMRI Signals.

ABSTRACT: The way spatial memory retrieval is represented in the brain remains unclear to date. Previous studies have displayed a hippocampus-centered navigation network using functional magnetic resonance imaging (fMRI) analysis. There have been some studies on the representation of navigation behavior by signal distribution patterns, but only in the hippocampus and adjacent structures. In this study, we aimed to determine (1) the brain regions that represent information in both intensity and distribution patterns during spatial memory retrieval and (2) whether the patterns of neural responses represent spatial memory retrieval behavior performance. Both univariate analysis [general linear model (GLM)] and multivariate pattern analysis (MVPA) were employed to reveal the spatial distributions of bra

SUBMITTER: Guo J 

PROVIDER: S-EPMC8168467 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature