Canard solutions in neural mass models: consequences on critical regimes
Abstract Mathematical models at multiple temporal and spatial scales can unveil the fundamental mechanisms of critical transitions in brain activities. Neural mass models (NMMs) consider the average temporal dynamics of interconnected neuronal subpopulations without explicitly representing the under...
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Online Access: | https://doi.org/10.1186/s13408-021-00109-z |
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doaj-5b1a9e130ddf471d84b1fb9496d917992021-09-19T11:07:01ZengSpringerOpenJournal of Mathematical Neuroscience2190-85672021-09-0111112710.1186/s13408-021-00109-zCanard solutions in neural mass models: consequences on critical regimesElif Köksal Ersöz0Fabrice Wendling1Univ Rennes, INSERM, LTSI-U1099Univ Rennes, INSERM, LTSI-U1099Abstract Mathematical models at multiple temporal and spatial scales can unveil the fundamental mechanisms of critical transitions in brain activities. Neural mass models (NMMs) consider the average temporal dynamics of interconnected neuronal subpopulations without explicitly representing the underlying cellular activity. The mesoscopic level offered by the neural mass formulation has been used to model electroencephalographic (EEG) recordings and to investigate various cerebral mechanisms, such as the generation of physiological and pathological brain activities. In this work, we consider a NMM widely accepted in the context of epilepsy, which includes four interacting neuronal subpopulations with different synaptic kinetics. Due to the resulting three-time-scale structure, the model yields complex oscillations of relaxation and bursting types. By applying the principles of geometric singular perturbation theory, we unveil the existence of the canard solutions and detail how they organize the complex oscillations and excitability properties of the model. In particular, we show that boundaries between pathological epileptic discharges and physiological background activity are determined by the canard solutions. Finally we report the existence of canard-mediated small-amplitude frequency-specific oscillations in simulated local field potentials for decreased inhibition conditions. Interestingly, such oscillations are actually observed in intracerebral EEG signals recorded in epileptic patients during pre-ictal periods, close to seizure onsets.https://doi.org/10.1186/s13408-021-00109-zMultiple time-scale systemsCanardsBurstingExcitabilityEpilepsyNeural mass model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elif Köksal Ersöz Fabrice Wendling |
spellingShingle |
Elif Köksal Ersöz Fabrice Wendling Canard solutions in neural mass models: consequences on critical regimes Journal of Mathematical Neuroscience Multiple time-scale systems Canards Bursting Excitability Epilepsy Neural mass model |
author_facet |
Elif Köksal Ersöz Fabrice Wendling |
author_sort |
Elif Köksal Ersöz |
title |
Canard solutions in neural mass models: consequences on critical regimes |
title_short |
Canard solutions in neural mass models: consequences on critical regimes |
title_full |
Canard solutions in neural mass models: consequences on critical regimes |
title_fullStr |
Canard solutions in neural mass models: consequences on critical regimes |
title_full_unstemmed |
Canard solutions in neural mass models: consequences on critical regimes |
title_sort |
canard solutions in neural mass models: consequences on critical regimes |
publisher |
SpringerOpen |
series |
Journal of Mathematical Neuroscience |
issn |
2190-8567 |
publishDate |
2021-09-01 |
description |
Abstract Mathematical models at multiple temporal and spatial scales can unveil the fundamental mechanisms of critical transitions in brain activities. Neural mass models (NMMs) consider the average temporal dynamics of interconnected neuronal subpopulations without explicitly representing the underlying cellular activity. The mesoscopic level offered by the neural mass formulation has been used to model electroencephalographic (EEG) recordings and to investigate various cerebral mechanisms, such as the generation of physiological and pathological brain activities. In this work, we consider a NMM widely accepted in the context of epilepsy, which includes four interacting neuronal subpopulations with different synaptic kinetics. Due to the resulting three-time-scale structure, the model yields complex oscillations of relaxation and bursting types. By applying the principles of geometric singular perturbation theory, we unveil the existence of the canard solutions and detail how they organize the complex oscillations and excitability properties of the model. In particular, we show that boundaries between pathological epileptic discharges and physiological background activity are determined by the canard solutions. Finally we report the existence of canard-mediated small-amplitude frequency-specific oscillations in simulated local field potentials for decreased inhibition conditions. Interestingly, such oscillations are actually observed in intracerebral EEG signals recorded in epileptic patients during pre-ictal periods, close to seizure onsets. |
topic |
Multiple time-scale systems Canards Bursting Excitability Epilepsy Neural mass model |
url |
https://doi.org/10.1186/s13408-021-00109-z |
work_keys_str_mv |
AT elifkoksalersoz canardsolutionsinneuralmassmodelsconsequencesoncriticalregimes AT fabricewendling canardsolutionsinneuralmassmodelsconsequencesoncriticalregimes |
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