Sign in
NeuroscienceCNS Neuroscience & Therapeutics
Peer-reviewed journal article

Spike-and-wave discharges of absence seizures in a sleep waves-constrained corticothalamic model

Martynas DervinisiD, Vincenzo CrunelliiD

Abstract

AimsRecurrent network activity in corticothalamic circuits generates physiological and pathological EEG waves. Many computer models have simulated spike-and-wave discharges (SWDs), the EEG hallmark of absence seizures (ASs). However, these models either provided detailed simulated activity only in a selected territory (i.e. cortical or thalamic) or did not test whether their corticothalamic networks could reproduce the physiological activities that are generated by these circuits. MethodsUsing a biophysical large-scale corticothalamic model that reproduces the full extent of EEG sleep waves, including sleep spindles, delta and slow (<0.1 Hz) waves, here we investigated how single abnormalities in voltage- or transmitter-gated channels in the neocortex or thalamus lead to SWDs. ResultsWe found that a selective increase in the tonic {gamma}-aminobutyric acid type A receptor (GABA-A) inhibition of first order thalamocortical (TC) neurons or a selective decrease in cortical phasic GABA-A inhibition are sufficient to generate [~]4 Hz SWDs (as in humans) that invariably start in neocortical territories. Decreasing the leak conductance of higher order TC neurons leads to [~]7 Hz SWDs (as in rodent models) while maintaining sleep spindles at 7-14 Hz. ConclusionBy challenging key features of current mechanistic views, this simulated ictal corticothalamic activity provides novel understanding of ASs and makes key testable predictions.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
7
FWCI
1.05
Field percentile
top 28%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISAtherton '23Mangan '17Teng '22Dervinis '23McCafferty '23Sere '26
83% semantic matchNeuroscience
Zoe Atherton, Olivér Nagy, Lívia Barcsai+7 more·Neurobiology of Disease·Jan 30, 2023· 11 citations