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Dataset Information

Network analysis of prospective brain development in youth with benign epilepsy with centrotemporal spikes and its relationship to cognition.


ABSTRACT:

Objective

Benign epilepsy with centrotemporal spikes (BECTS) is the most common childhood idiopathic localization-related epilepsy syndrome. BECTS presents normal routine magnetic resonance imaging (MRI); however, quantitative analytic techniques have captured subtle cortical and subcortical magnetic resonance anomalies. Network science, including graph theory (GT) analyses, facilitates understanding of brain covariance patterns, potentially informing in important ways how this common self-limiting epilepsy syndrome may impact normal patterns of brain and cognitive development.

Methods

GT analyses examined the developmental covariance among cortical and subcortical regions in children with new/recent onset BECTS (n = 19) and typically developing healthy controls (n = 22) who

SUBMITTER: Garcia-Ramos C 

PROVIDER: S-EPMC7394051 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature