Socioeconomic status (SES) and cognitive outcomes are predicted by resting-state EEG in school-aged children.

ABSTRACT: Children's socioeconomic status (SES) is related to patterns of intrinsic resting-state brain function that subserve relevant cognitive processes over the course of development. Although infant research has demonstrated the association between children's environments, cognitive outcomes, and resting-state electroencephalography (rsEEG), it remains unknown how these aspects of their environment, tied to SES, impact neural and cognitive development throughout the school years. To address this gap, we applied a multivariate pattern analysis (MVPA) to rsEEG data to identify which neural frequencies at rest are differentially associated with unique aspects of socioeconomic status (SES; income and maternal education) and cognitive (vocabulary, working memory) outcomes among school-aged children

SUBMITTER: Schneider JM 

PROVIDER: S-EPMC11570756 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature