Decoding Hearing-Related Changes in Older Adults' Spatiotemporal Neural Processing of Speech Using Machine Learning.
aging
event-related potentials
hearing loss
machine learning
speech perception
stability selection and control
support vector machine
Journal
Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481
Informations de publication
Date de publication:
2020
2020
Historique:
received:
18
12
2019
accepted:
25
06
2020
entrez:
9
8
2020
pubmed:
9
8
2020
medline:
9
8
2020
Statut:
epublish
Résumé
Speech perception in noisy environments depends on complex interactions between sensory and cognitive systems. In older adults, such interactions may be affected, especially in those individuals who have more severe age-related hearing loss. Using a data-driven approach, we assessed the temporal (
Identifiants
pubmed: 32765215
doi: 10.3389/fnins.2020.00748
pmc: PMC7378401
doi:
Types de publication
Journal Article
Langues
eng
Pagination
748Subventions
Organisme : NIDCD NIH HHS
ID : R01 DC016267
Pays : United States
Informations de copyright
Copyright © 2020 Mahmud, Ahmed, Al-Fahad, Moinuddin, Yeasin, Alain and Bidelman.
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