Functional brain network analysis using electroencephalography in late-onset Lennox-Gastaut syndrome.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
Read More Add to Saved list
  • Additional Information
    • Source:
      Publisher: Elsevier Science Publishers Country of Publication: Netherlands NLM ID: 8703089 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6844 (Electronic) Linking ISSN: 09201211 NLM ISO Abbreviation: Epilepsy Res Subsets: MEDLINE
    • Publication Information:
      Original Publication: Amsterdam : Elsevier Science Publishers, c1987-
    • Subject Terms:
      Lennox Gastaut Syndrome*/physiopathology ; Electroencephalography*/methods ; Brain*/physiopathology; Humans ; Male ; Female ; Adolescent ; Child ; Young Adult ; Age of Onset ; Adult ; Neural Pathways/physiopathology ; Brain Mapping/methods
    • Abstract:
      Objective: We aimed to explore the clinical characteristics and functional network properties of patients with late-onset Lennox-Gastaut syndrome (LGS).
      Methods: Late-onset LGS was defined by the appearance of LGS features after 8 years of age. We reviewed the medical charts of 9 patients with late-onset LGS, and performed electroencephalography connectivity analysis using graph theory. We assessed the clustering coefficient (CC) and characteristic path length (CPL), which are common basic measures of functional networks that represent local segregation and global integration. The characteristics and brain parameters of late-onset LGS were compared with a typical age-onset LGS group.
      Results: Late onset LGS subjects were older than typical age onset LGS at the time of testing, but otherwise there were no significant differences in clinical characteristics. The late-onset group showed higher median CC values in the alpha (p = 0.045) and beta (p < 0.001) bands over brain regions implicated in cognitive processing. There were no significant differences in CPL between the LGS groups.
      Conclusions: Higher clustering coefficient values, in alpha/beta bands over brain regions implicated in cognitive processing, are consistent with increased cognitive network segregation in late onset LGS compared to typical age-onset LGS. Given network segregation is a normal aspect of brain maturation, these results imply that this process is less disturbed when the LGS process begins later in childhood.
      Competing Interests: Declaration of Competing Interest None.
      (Copyright © 2024 Elsevier B.V. All rights reserved.)
    • Contributed Indexing:
      Keywords: Cognitive outcome; Functional connectivity; Late-onset; Lennox–Gastaut syndrome
    • Publication Date:
      Date Created: 20240509 Date Completed: 20240606 Latest Revision: 20240606
    • Publication Date:
      20240607
    • Accession Number:
      10.1016/j.eplepsyres.2024.107370
    • Accession Number:
      38723341