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Functional brain network analysis using electroencephalography in late-onset Lennox-Gastaut syndrome
Zhi Ji Wang1, Soyoung Park2, Heung Dong Kim1
1Division of Pediatric Neurology, Department of Pediatrics, Severance Children's Hospital, Epilepsy Research Institute, Yonsei University College of Medicine, Seoul, South Korea.
Epilepsy Research
|May 9, 2024
Summary
Late-onset Lennox-Gastaut syndrome (LGS) shows distinct brain network patterns. Increased cognitive network segregation in alpha/beta bands suggests a less disturbed maturation process when LGS begins later in childhood.
Area of Science:
- Neuroscience
- Clinical Neurology
- Epileptology
Background:
- Lennox-Gastaut syndrome (LGS) is a severe childhood epilepsy.
- Late-onset LGS, defined by onset after age 8, is less understood.
- Investigating LGS functional network properties is crucial for understanding its pathophysiology.
Purpose of the Study:
- To explore clinical characteristics of late-onset LGS.
- To analyze functional network properties using electroencephalography (EEG) connectivity.
- To compare late-onset LGS with typical age-onset LGS.
Main Methods:
- Retrospective chart review of 9 late-onset LGS patients.
- EEG connectivity analysis using graph theory (clustering coefficient [CC] and characteristic path length [CPL]).
- Comparison of clinical and network parameters between late-onset and typical LGS groups.
Main Results:
- No significant clinical differences between late-onset and typical LGS groups.
- Higher CC values in alpha and beta bands in late-onset LGS, particularly in cognitive processing regions.
- No significant differences in CPL between the groups.
Conclusions:
- Increased cognitive network segregation (higher CC) in late-onset LGS suggests a less disturbed maturation process.
- Alpha and beta band activity alterations are key indicators.
- Findings imply that later LGS onset may be associated with more typical brain network development.

