Visibility graph analysis of speech evoked auditory brainstem response in persistent developmental stuttering.


Journal

Neuroscience letters
ISSN: 1872-7972
Titre abrégé: Neurosci Lett
Pays: Ireland
ID NLM: 7600130

Informations de publication

Date de publication:
23 03 2019
Historique:
received: 27 08 2018
revised: 09 12 2018
accepted: 10 12 2018
pubmed: 15 12 2018
medline: 3 9 2019
entrez: 15 12 2018
Statut: ppublish

Résumé

In this research, the concept of fractality based on nonlinear science and chaos theory is explored to study and evaluate the complexity of speech-evoked auditory brainstem response (s-ABR) time series in order to capture its intrinsic multiscale dynamics. The visibility graph of the s-ABR series is proposed as a quantitative method to differentiate subjects with persistent developmental stuttering (PDS) from the normal group. Differential complexities between normal and PDS subjects is quantified using Graph index complexity (GIC). The model is applied to 14 individuals with PDS and 15 normal subjects. The results reveal the promising ability of GIC for assessment of abnormal activation of brainstem level in PDS group. It is observed that all s-ABR series have visibility graphs with a power-law topology and fractality in the s-ABR series is dictated by a mechanism associated with long-term memory of the auditory system dynamics at the brainstem level.

Identifiants

pubmed: 30550878
pii: S0304-3940(18)30860-7
doi: 10.1016/j.neulet.2018.12.015
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

28-32

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Marjan Mozaffarilegha (M)

Ibn-Sina Multidisciplinary Laboratory, Department of Physics, Shahid Beheshti University, Tehran, P.O. Box: 1983969411, Iran.

Hojjat Adeli (H)

The Ohio State University, United States. Electronic address: adeli.1@osu.edu.

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Classifications MeSH