Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform Activity

Texto completo
Autor(es):
Ciba, Manuel [1] ; Bestel, Robert [1] ; Nick, Christoph [1] ; de Arruda, Guilherme Ferraz [2] ; Peron, Thomas [3] ; Henrique, Comin Cesar [4] ; Costa, Luciano da Fontoura [5] ; Rodrigues, Francisco Aparecido [3] ; Thielemann, Christiane [1]
Número total de Autores: 9
Afiliação do(s) autor(es):
[1] Univ Appl Sci Aschaffenburg, Biomems Lab, D-63743 Aschaffenburg - Germany
[2] ISI Fdn, I-10126 Turin - Italy
[3] Univ Sao Paulo, Inst Math & Comp Sci, BR-13566590 Sao Carlos, SP - Brazil
[4] Univ Fed Sao Carlos, Dept Comp Sci, BR-13565905 Sao Carlos, SP - Brazil
[5] Univ Sao Paulo, Inst Fis Sao Carlos, BR-13566590 Sao Carlos, SP - Brazil
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: NEURAL COMPUTATION; v. 32, n. 5, p. 887-911, MAY 2020.
Citações Web of Science: 0
Resumo

As synchronized activity is associated with basic brain functions and pathological states, spike train synchrony has become an important measure to analyze experimental neuronal data. Many measures of spike train synchrony have been proposed, but there is no gold standard allowing for comparison of results from different experiments. This work aims to provide guidance on which synchrony measure is best suited to quantify the effect of epileptiform-inducing substances (e.g., bicuculline, BIC) in in vitro neuronal spike train data. Spike train data from recordings are likely to suffer from erroneous spike detection, such as missed spikes (false negative) or noise (false positive). Therefore, different timescale-dependent (cross-correlation, mutual information, spike time tiling coefficient) and timescale-independent (Spike-contrast, phase synchronization (PS), A-SPIKE-synchronization, A-ISI-distance, ARI-SPIKE-distance) synchrony measures were compared in terms of their robustness to erroneous spike trains. For this purpose, erroneous spike trains were generated by randomly adding (false positive) or deleting (false negative) spikes (in silico manipulated data) from experimental data. In addition, experimental data were analyzed using different spike detection threshold factors in order to confirm the robustness of the synchrony measures. All experimental data were recorded from cortical neuronal networks on microelectrode array chips, which show epileptiform activity induced by the substance BIC. As a result of the in silico manipulated data, Spike-contrast was the only measure that was robust to false-negative as well as false-positive spikes. Analyzing the experimental data set revealed that all measures were able to capture the effect of BIC in a statistically significant way, with Spike-contrast showing the highest statistical significance even at low spike detection thresholds. In summary, we suggest using Spike-contrast to complement established synchrony measures because it is timescale independent and robust to erroneous spike trains. (AU)

Processo FAPESP: 15/22308-2 - Representações intermediárias em Ciência Computacional para descoberta de conhecimento
Beneficiário:Roberto Marcondes Cesar Junior
Linha de fomento: Auxílio à Pesquisa - Temático
Processo FAPESP: 16/23827-6 - Análise de processos epidêmicos e de sincronização em redes complexas
Beneficiário:Thomas Kaue Dal Maso Peron
Linha de fomento: Bolsas no Brasil - Pós-Doutorado
Processo FAPESP: 18/09125-4 - Representação, Caracterização e Modelagem de Imagens Biológicas Utilizando Redes Complexas
Beneficiário:Cesar Henrique Comin
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 13/26416-9 - Modelagem de processos dinâmicos em redes complexas
Beneficiário:Francisco Aparecido Rodrigues
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 12/51301-8 - Cortical networks
Beneficiário:Francisco Aparecido Rodrigues
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 12/25219-2 - Modelagem, análise e simulação de processos dinâmicos em redes complexas
Beneficiário:Guilherme Ferraz de Arruda
Linha de fomento: Bolsas no Brasil - Doutorado