Literature DB >> 30268930

Network characteristics in benign epilepsy with centro-temporal spikes patients indicating defective connectivity during spindle sleep: A partial directed coherence study of EEG signals.

Giulia Varotto1, Silvana Franceschetti2, Davide Caputo1, Elisa Visani1, Laura Canafoglia1, Elena Freri3, Francesca Ragona3, Giuliano Avanzini1, Ferruccio Panzica1.   

Abstract

OBJECTIVE: To investigate the changes in EEG connectivity in children with the typical presentation of benign epilepsy with centro-temporal spikes (BECTS).
METHODS: We compared awake and spindle-sleep EEG recordings obtained by a standard electrode array in patients with lateralised (10 Right, 9 Left-BECTS) or bilateral spikes (10 MF-BECTS) and in 17 age-matched controls. We analysed EEG activity using partial directed coherence, an estimator of connectivity based on the multivariate autoregressive models and calculated in- and out-degrees, strength, clustering coefficient and betweenness centrality.
RESULTS: In comparison with the controls, the awake EEG recordings of the patients with lateralised BECTS showed a minimal increase in out-degrees on F4 and F3. The greater differences, found during sleep, included significant reductions in both in- and out-degrees and strength in all of the patient groups, but in T4 or T3 showing increased out-degrees and strength in Right and Left-BECTS. Betweenness centrality was significantly reduced on C3 and C4 in the patients with MF-BECTS.
CONCLUSIONS: Our observations suggest that the main finding in BECTS patients is widely reduced local connectivity. SIGNIFICANCE: The network changes in BECTS can be interpreted as a permissive condition occurring in a developmental window that predisposes to seizure generation during spindle-sleep.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Benign childhood epilepsy; Effective connectivity; Partial directed coherence

Mesh:

Year:  2018        PMID: 30268930     DOI: 10.1016/j.clinph.2018.09.008

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  1 in total

1.  Data-Driven Network Dynamical Model of Rat Brains During Acute Ictogenesis.

Authors:  Victor Hugo Batista Tsukahara; Jordão Natal de Oliveira Júnior; Vitor Bruno de Oliveira Barth; Jasiara Carla de Oliveira; Vinicius Rosa Cota; Carlos Dias Maciel
Journal:  Front Neural Circuits       Date:  2022-08-10       Impact factor: 3.342

  1 in total

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