Objective: Genetic 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.
Methods: We 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.
Results: We 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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http://dx.doi.org/10.1002/epi4.12252 | DOI Listing |
Neurochem Res
January 2025
Department of Physiology, Faculty of Medicine, University of Ondokuz Mayıs, Samsun, Türkiye.
In the present study, the effects of the acetylcholinesterase (AChE) enzyme inhibitor rivastigmine (RIVA) on spike-wave discharges (SWDs), memory impairment, anxiety-like behavior, and the transient receptor potential vanilloid 1 (TRPV1) gene expression were investigated in genetic absence epileptic Wistar Albino Glaxo/Rijswijk (WAG/Rij) rats. After tripolar electrodes were implanted on the WAG/Rij rats' skulls, single doses of 0.125, 0.
View Article and Find Full Text PDFEpilepsy Behav Rep
March 2025
Department of Neurology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China.
We presented a 7-year-old boy with refractory Epileptic Encephalopathy with Spike-and-Wave Activation in Sleep (EE-SWAS) successfully managed with a combination of propofol and midazolam. His seizures began at age 2, initially controlled by multiple antiseizure medications (ASMs) for almost three years. At age 5, seizures recurred with electroencephalography (EEG) showing electrical status epilepticus in sleep (ESES) and a spike-wave index (SWI) of 85 %.
View Article and Find Full Text PDFNeurobiol Dis
February 2025
Institute of Physiology I, Münster University, Münster, Germany. Electronic address:
Spike-wave-discharges (SWD) are the electrophysiological hallmark of absence epilepsy. SWD are generated in the thalamo-cortical network and a seizure onset zone was identified in the somatosensory cortex (S1). We have shown before that inhibition of the centromedian thalamic nucleus (CM) in GAERS rats resulted in a selective suppression of the spike component while rhythmic cortical 5-9 Hz oscillations remained present.
View Article and Find Full Text PDFCogn Neurodyn
December 2024
School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi People's Republic of China.
Waveform transitions have high correlation to spike wave discharges and polyspike wave discharges in seizure dynamics. This research adopts nonlinear dynamics to study the waveform transitions in a cerebral thalamo-coritcal neural network subjected to a square sensory control via discretization and mappings. The continuous non-smooth network outputs are discretized to establish implicit mapping chains or loops for stable and unstable waveform solutions.
View Article and Find Full Text PDFJ Comput Neurosci
December 2024
Department of Applied Mathematics, and Centre for Theoretical Neuroscience, University of Waterloo, 200 University Avenue W, Waterloo, N2L 3G1, ON, Canada.
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