Identification of neural networks preferentially engaged by epileptogenic mass lesions through lesion network mapping analysis.

ABSTRACT: Lesion network mapping (LNM) has been applied to true lesions (e.g., cerebrovascular lesions in stroke) to identify functionally connected brain networks. No previous studies have utilized LNM for analysis of intra-axial mass lesions. Here, we implemented LNM for identification of potentially vulnerable epileptogenic networks in mass lesions causing medically-refractory epilepsy (MRE). Intra-axial brain lesions were manually segmented in patients with MRE seen at our institution (EL_INST). These lesions were then normalized to standard space and used as seeds in a high-resolution normative resting state functional magnetic resonance imaging template. The resulting connectivity maps were first thresholded (p_{Bonferroni_cor} < 0.05) and binarized; the thresholded binarized connectiv

SUBMITTER: Mansouri AM 

PROVIDER: S-EPMC7335039 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature