ArticleEpilepsia open2018
Unravelling the brain networks driving spike-wave discharges in genetic generalized epilepsy-common patterns and individual differences.
Article in Epilepsia open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Unilateral ultra long-term subcutaneous EEG monitoring in drug-refractory idiopathic generalized epilepsy.Epilepsia · 2026Article
- The potential of laminar functional MRI in refining the understanding of epilepsy in humans.Brain : a journal of neurology · 2025Review
- Connectomes in Temporal Lobe and Idiopathic Generalized Epilepsies.Journal of clinical medicine · 2025Review
- Impact of LITAF on Mitophagy and Neuronal Damage in Epilepsy via MCL-1 Ubiquitination.CNS neuroscience & therapeutics · 2025Article
- Effect of Antiseizure Medication on the Salience Network in Patients with Epilepsy with Generalized Tonic-Clonic Seizures Alone.Biomedicines · 2024Article
- Comparison of Resting-State EEG Network Analyses With and Without Parallel MRI in Genetic Generalized Epilepsy.Brain topography · 2023Article
- Abnormal static and dynamic functional network connectivity of the whole-brain in children with generalized tonic-clonic seizures.Frontiers in neuroscience · 2023Article
- EEG Network Analysis in Epilepsy with Generalized Tonic-Clonic Seizures Alone.Brain sciences · 2022Article
- Discerning Seizure-Onset v. Propagation Zone: Pre-and-Post-Operative Resting-State fMRI Directionality and Boerwinkle Neuroplasticity Index.NeuroImage. Clinical · 2022Article
- Probabilistic mapping of thalamic nuclei and thalamocortical functional connectivity in idiopathic generalised epilepsy.Human brain mapping · 2021Article
- fMRI-Based Effective Connectivity in Surgical Remediable Epilepsies: A Pilot Study.Brain topography · 2021Article
- Dynamic Causal Modeling Self-Connectivity Findings in the Functional Magnetic Resonance Imaging Neuropsychiatric Literature.Frontiers in neuroscience · 2021Review
- Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity.Frontiers in neurology · 2019Review
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveGenetic generalized epilepsies (GGEs) are characterized by generalized spike-wave discharges (GSWDs) in electroencephalography (EEG) recordings without underlying structural brain lesions. The origin of the epileptic activity remains unclear, although several studies have reported involvement of thalamus and default mode network (DMN). The aim of the current study was to investigate the networks involved in the generation and temporal evolution of GSWDs to elucidate the origin and propagation of the underlying generalized epileptic activity.
methodsWe examined 12 patients with GGE and GSWDs using EEG-functional magnetic resonance imaging (fMRI) and identified involved brain areas on the basis of a classical general linear model (GLM) analysis. The activation time courses of these areas were further investigated to reveal their temporal sequence of activations and deactivations. Dynamic causal modeling (DCM) was used to determine the generator of GSWDs in GGE.
resultsWe observed activity changes in the thalamus, DMN, dorsal attention network (DAN), salience network (SN), basal ganglia, dorsolateral prefrontal cortex, and motor cortex with supplementary motor area, however, with a certain heterogeneity between patients. Investigation of the temporal sequence of activity changes showed deactivations in the DMN and DAN and activations in the SN and thalamus preceding the onset of GSWDs on EEG by several seconds. DCM analysis indicated that the DMN gates GSWDs in GGE. SIGNIFICANCE: The observed interplay between DMN, DAN, SN, and thalamus may indicate a downregulation of consciousness. The DMN seems to play a leading role as a driving force behind these changes. Overall, however, there were also clear differences in activation patterns between patients, reflecting a certain heterogeneity in this cohort of GGE patients.
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