Modulation in phase and frequency of neural oscillations during epileptiform activity induced by neonatal Zika virus infection in mice

Autor: Andrea T. Da Poian, Sergio T. Ferreira, Daniel J. L. L. Pinheiro, Jean Faber, Cláudia P. Figueiredo, Douglas Domingues Bueno, Leandro F. Oliveira, Iranaia Assunção Miranda, Isis N. O. Souza, Esper A. Cavalheiro, João Angelo Ferres Brogin, Julia R. Clarke
Přispěvatelé: Universidade de São Paulo (USP), Universidade Federal do Rio de Janeiro (UFRJ), Universidade Estadual Paulista (Unesp)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Scientific Reports
Web of Science
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Scientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
ISSN: 2045-2322
Popis: Made available in DSpace on 2020-12-10T20:08:54Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-04-21 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) Institutos Nacionais de Pesquisa - Instituto Nacional de Neurociencia Translacional Institutos Nacionais de Pesquisa - Inovacao em Medicamentos e Identificacao de Novos Alvos Terapeuticos Modulation of brain activity is one of the main mechanisms capable of demonstrating the synchronization dynamics of neural oscillations. In epilepsy, modulation is a key concept since seizures essentially result from neural hypersynchronization and hyperexcitability. In this study, we have introduced a time-dependent index based on the Kullback-Leibler divergence to quantify the effects of phase and frequency modulations of neural oscillations in neonatal mice exhibiting epileptiform activity induced by Zika virus (ZIKV) infection. Through this index, we demonstrate that fast oscillations (gamma and beta 2) are the more susceptible modulated rhythms in terms of phase, during seizures, whereas slow waves (delta and theta) mainly undergo changes in frequency. The index also allowed detection of specific patterns associated with the interdependent modulation of phase and frequency in neural activity. Furthermore, by comparing ZIKV modulations with the general computational model Epileptors, we verify different signatures related to the brain rhythms modulation in phase and frequency. These findings instigate new studies on the effects of ZIKV infection on neuronal networks from electrophysiological activities, and how different mechanisms can trigger epilepsy. Fed Univ Sao Paulo UNIFESP, Paulista Sch Med, Dept Neurol & Neurosurg, Sao Paulo, Brazil Fed Univ Rio De Janeiro UFRJ, Sch Pharm, BR-21944590 Rio De Janeiro, RJ, Brazil Sao Paulo State Univ, Dept Mech Engn, BR-15385000 Ilha Solteira, SP, Brazil Sao Paulo State Univ, Dept Math, BR-15385000 Ilha Solteira, SP, Brazil Fed Univ Rio de Janeiro UFRJ, Inst Microbiol Paulo de Goes, BR-21944590 Rio De Janeiro, RJ, Brazil Fed Univ Rio de Janeiro UFRJ, Inst Med Biochem Leopoldo de Meis, BR-21944590 Rio De Janeiro, RJ, Brazil Fed Univ Rio de Janeiro UFRJ, Inst Biophys Carlos Chagas Filho, BR-21944590 Rio De Janeiro, RJ, Brazil Fed Univ Sao Paulo UNIFESP, Inst Sci & Technol, Nucleus Neuroengn & Computat, Sao Paulo, Brazil Sao Paulo State Univ, Dept Mech Engn, BR-15385000 Ilha Solteira, SP, Brazil Sao Paulo State Univ, Dept Math, BR-15385000 Ilha Solteira, SP, Brazil CAPES: 001 CAPES: AUXPE: 0561/2018 CNPq: 442563/2016-7
Databáze: OpenAIRE