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Language-related white-matter-tract deficits in children with benign epilepsy with centrotemporal spikes: A retrospective study

  • Sungkyunkwan University
  • Jeonbuk National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

Background and Purpose Benign epilepsy with centrotemporal spikes (BECTS) is one of the most common pediatric epilepsies, and it generally has a good prognosis. However, recent research has indicated that the epileptic activity of BECTS can cause cognitive defects such as language, visuospatial, and auditory verbal memory deficits. This study assessed language-de-livery deficits in BECTS patients using diffusion-tensor magnetic resonance imaging (DTI). Methods T1-weighted MRI, DTI, and language tests were conducted in 16 BECTS patients and 16 age-matched controls. DTI data were analyzed using the TRActs Constrained by Underlying Anatomy tool in FreeSurfer 5.3, and 18 major white-matter tracts were extracted, which included 4 language-related tracts: the inferior longitudinal fasciculus, superior longitudinal fasciculus–parietal terminations, superior longitudinal fasciculus–temporal terminations, and uncinate fasciculus (UNC). Language tests included the Korean version of the Receptive and Expressive Vocabulary Test, Test of Problem-Solving Abilities (TOPS), and the mean length of utterance in words. Results The BECTS group exhibited decreased mean fractional anisotropy and increased mean radial diffusivity, with significant differences in both the superior longitudinal fasciculus and the left UNC (p<0.05), which are the language-related white-matter tracts in the dual-loop model. The TOPS language test scores were significantly lower in the BECTS group than in the control group (p<0.05). Conclusions It appears that BECTS patients can exhibit language deficits. Seizure activities of BECTS could alter DTI scalar values in the language-related white-matter tracts.

Original languageEnglish
Pages (from-to)502-510
Number of pages9
JournalJournal of Clinical Neurology (Korea)
Volume15
Issue number4
DOIs
StatePublished - 2019.10

Keywords

  • Dual-loop model
  • Language test
  • ‌Diffusion-tensor imaging

Quacquarelli Symonds(QS) Subject Topics

  • Medicine

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