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Dynamic brain network states in human generalized spike-wave discharges

Generalized spike-wave discharges in idiopathic generalized epilepsy are conventionally assumed to have abrupt onset and offset. However, in rodent models, discharges emerge during a dynamic evolution of brain network states, extending several seconds before and after the discharge. In human idiopat...

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Autores principales: Tangwiriyasakul, Chayanin, Perani, Suejen, Centeno, Maria, Yaakub, Siti Nurbaya, Abela, Eugenio, Carmichael, David W, Richardson, Mark P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158757/
https://www.ncbi.nlm.nih.gov/pubmed/30169608
http://dx.doi.org/10.1093/brain/awy223
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author Tangwiriyasakul, Chayanin
Perani, Suejen
Centeno, Maria
Yaakub, Siti Nurbaya
Abela, Eugenio
Carmichael, David W
Richardson, Mark P
author_facet Tangwiriyasakul, Chayanin
Perani, Suejen
Centeno, Maria
Yaakub, Siti Nurbaya
Abela, Eugenio
Carmichael, David W
Richardson, Mark P
author_sort Tangwiriyasakul, Chayanin
collection PubMed
description Generalized spike-wave discharges in idiopathic generalized epilepsy are conventionally assumed to have abrupt onset and offset. However, in rodent models, discharges emerge during a dynamic evolution of brain network states, extending several seconds before and after the discharge. In human idiopathic generalized epilepsy, simultaneous EEG and functional MRI shows cortical regions may be active before discharges, and network connectivity around discharges may not be normal. Here, in human idiopathic generalized epilepsy, we investigated whether generalized spike-wave discharges emerge during a dynamic evolution of brain network states. Using EEG-functional MRI, we studied 43 patients and 34 healthy control subjects. We obtained 95 discharges from 20 patients. We compared data from patients with discharges with data from patients without discharges and healthy controls. Changes in MRI (blood oxygenation level-dependent) signal amplitude in discharge epochs were observed only at and after EEG onset, involving a sequence of parietal and frontal cortical regions then thalamus (P < 0.01, across all regions and measurement time points). Examining MRI signal phase synchrony as a measure of functional connectivity between each pair of 90 brain regions, we found significant connections (P < 0.01, across all connections and measurement time points) involving frontal, parietal and occipital cortex during discharges, and for 20 s after EEG offset. This network prominent during discharges showed significantly low synchrony (below 99% confidence interval for synchrony in this network in non-discharge epochs in patients) from 16 s to 10 s before discharges, then ramped up steeply to a significantly high level of synchrony 2 s before discharge onset. Significant connections were seen in a sensorimotor network in the minute before discharge onset. This network also showed elevated synchrony in patients without discharges compared to healthy controls (P = 0.004). During 6 s prior to discharges, additional significant connections to this sensorimotor network were observed, involving prefrontal and precuneus regions. In healthy subjects, significant connections involved a posterior cortical network. In patients with discharges, this posterior network showed significantly low synchrony during the minute prior to discharge onset. In patients without discharges, this network showed the same level of synchrony as in healthy controls. Our findings suggest persistently high sensorimotor network synchrony, coupled with transiently (at least 1 min) low posterior network synchrony, may be a state predisposing to generalized spike-wave discharge onset. Our findings also show that EEG onset and associated MRI signal amplitude change is embedded in a considerably longer period of evolving brain network states before and after discharge events.
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spelling pubmed-61587572018-10-02 Dynamic brain network states in human generalized spike-wave discharges Tangwiriyasakul, Chayanin Perani, Suejen Centeno, Maria Yaakub, Siti Nurbaya Abela, Eugenio Carmichael, David W Richardson, Mark P Brain Original Articles Generalized spike-wave discharges in idiopathic generalized epilepsy are conventionally assumed to have abrupt onset and offset. However, in rodent models, discharges emerge during a dynamic evolution of brain network states, extending several seconds before and after the discharge. In human idiopathic generalized epilepsy, simultaneous EEG and functional MRI shows cortical regions may be active before discharges, and network connectivity around discharges may not be normal. Here, in human idiopathic generalized epilepsy, we investigated whether generalized spike-wave discharges emerge during a dynamic evolution of brain network states. Using EEG-functional MRI, we studied 43 patients and 34 healthy control subjects. We obtained 95 discharges from 20 patients. We compared data from patients with discharges with data from patients without discharges and healthy controls. Changes in MRI (blood oxygenation level-dependent) signal amplitude in discharge epochs were observed only at and after EEG onset, involving a sequence of parietal and frontal cortical regions then thalamus (P < 0.01, across all regions and measurement time points). Examining MRI signal phase synchrony as a measure of functional connectivity between each pair of 90 brain regions, we found significant connections (P < 0.01, across all connections and measurement time points) involving frontal, parietal and occipital cortex during discharges, and for 20 s after EEG offset. This network prominent during discharges showed significantly low synchrony (below 99% confidence interval for synchrony in this network in non-discharge epochs in patients) from 16 s to 10 s before discharges, then ramped up steeply to a significantly high level of synchrony 2 s before discharge onset. Significant connections were seen in a sensorimotor network in the minute before discharge onset. This network also showed elevated synchrony in patients without discharges compared to healthy controls (P = 0.004). During 6 s prior to discharges, additional significant connections to this sensorimotor network were observed, involving prefrontal and precuneus regions. In healthy subjects, significant connections involved a posterior cortical network. In patients with discharges, this posterior network showed significantly low synchrony during the minute prior to discharge onset. In patients without discharges, this network showed the same level of synchrony as in healthy controls. Our findings suggest persistently high sensorimotor network synchrony, coupled with transiently (at least 1 min) low posterior network synchrony, may be a state predisposing to generalized spike-wave discharge onset. Our findings also show that EEG onset and associated MRI signal amplitude change is embedded in a considerably longer period of evolving brain network states before and after discharge events. Oxford University Press 2018-10 2018-08-28 /pmc/articles/PMC6158757/ /pubmed/30169608 http://dx.doi.org/10.1093/brain/awy223 Text en © The Author(s) (2018). Published by Oxford University Press on behalf of the Guarantors of Brain. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Tangwiriyasakul, Chayanin
Perani, Suejen
Centeno, Maria
Yaakub, Siti Nurbaya
Abela, Eugenio
Carmichael, David W
Richardson, Mark P
Dynamic brain network states in human generalized spike-wave discharges
title Dynamic brain network states in human generalized spike-wave discharges
title_full Dynamic brain network states in human generalized spike-wave discharges
title_fullStr Dynamic brain network states in human generalized spike-wave discharges
title_full_unstemmed Dynamic brain network states in human generalized spike-wave discharges
title_short Dynamic brain network states in human generalized spike-wave discharges
title_sort dynamic brain network states in human generalized spike-wave discharges
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158757/
https://www.ncbi.nlm.nih.gov/pubmed/30169608
http://dx.doi.org/10.1093/brain/awy223
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