Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/56951
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dc.creatorVinícius Rezende Carvalhopt_BR
dc.creatorMarcio Flavio Dutra Moraespt_BR
dc.creatorSydney Cashpt_BR
dc.creatorEduardo Mazoni Andrade Marçal Mendespt_BR
dc.date.accessioned2023-07-25T17:26:41Z-
dc.date.available2023-07-25T17:26:41Z-
dc.date.issued2021-
dc.citation.volume17pt_BR
dc.citation.issue1pt_BR
dc.citation.spage1pt_BR
dc.citation.epage24pt_BR
dc.identifier.doihttps://doi.org/10.1371/journal.pcbi.1008377pt_BR
dc.identifier.issn1553-7358pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/56951-
dc.description.resumoThe extraction of electrophysiological features that reliably forecast the occurrence of seizures is one of the most challenging goals in epilepsy research. Among possible approaches to tackle this problem is the use of active probing paradigms in which responses to stimuli are used to detect underlying system changes leading up to seizures. This work evaluates the theoretical and mechanistic underpinnings of this strategy using two coupled populations of the well-studied Wendling neural mass model. Different model settings are evaluated, shifting parameters (excitability, slow inhibition, or inter-population coupling gains) from normal towards ictal states while probing stimuli are applied every 2 seconds to the input of either one or both populations. The correlation between the extracted features and the ictogenic parameter shifting indicates if the impending transition to the ictal state may be identified in advance. Results show that not only can the response to the probing stimuli forecast seizures but this is true regardless of the altered ictogenic parameter. That is, similar feature changes are highlighted by probing stimuli responses in advance of the seizure including: increased response variance and lag-1 autocorrelation, decreased skewness, and increased mutual information between the outputs of both model subsets. These changes were mostly restricted to the stimulated population, showing a local effect of this perturbational approach. The transition latencies from normal activity to sustained discharges of spikes were not affected, suggesting that stimuli had no pro-ictal effects. However, stimuli were found to elicit interictal-like spikes just before the transition to the ictal state. Furthermore, the observed feature changes highlighted by probing the neuronal populations may reflect the phenomenon of critical slowing down, where increased recovery times from perturbations may signal the loss of a systems’ resilience and are common hallmarks of an impending critical transition. These results provide more evidence that active probing approaches highlight information about underlying system changes involved in ictogenesis and may be able to play a role in assisting seizure forecasting methods which can be incorporated into early-warning systems that ultimately enable closing the loop for targeted seizure-controlling interventions.pt_BR
dc.languageporpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICApt_BR
dc.publisher.departmentICB - DEPARTAMENTO DE FISIOLOGIA E BIOFÍSICApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofPLOS Computational Biologypt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectNeural mass modelspt_BR
dc.subjectEpilepsypt_BR
dc.subject.otherEpilepsiapt_BR
dc.titleActive probing to highlight approaching transitions to ictal states in coupled neural mass modelspt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008377pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-1821-1634pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-4557-6391pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-3267-3862pt_BR
Appears in Collections:Artigo de Periódico



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