Ontology highlight
ABSTRACT: Objective
Functional magnetic resonance imaging is sensitive to the variation in language network patterns. Large populations are needed to rigorously assess atypical patterns, which, even in neurological populations, are a minority.Methods
We studied 220 patients with focal epilepsy and 118 healthy volunteers who performed an auditory description decision task. We compared a data-driven hierarchical clustering approach to the commonly used a priori laterality index (LI) threshold (LI < 0.20 as atypical) to classify language patterns within frontal and temporal regions of interest. We explored (n = 128) whether IQ varied with different language activation patterns.Results
The rate of atypical language among healthy volunteers (2.5%) and patients (24.5%) agreed with
SUBMITTER: Berl MM
PROVIDER: S-EPMC4209919 | biostudies-literature | 2014 Jan
REPOSITORIES: biostudies-literature