Associations between pre-stimulus alpha power, hearing level and performance in a digits-in-noise task.

Autor:	Alhanbali S; Manchester Centre for Audiology and Deafness, School of Health Sciences, University of Manchester, Manchester, UK.; Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.; Department of Hearing and Speech Science, School of Rehabilitation Sciences, The University of Jordan, Amman, Jordan., Munro KJ; Manchester Centre for Audiology and Deafness, School of Health Sciences, University of Manchester, Manchester, UK.; Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK., Dawes P; Manchester Centre for Audiology and Deafness, School of Health Sciences, University of Manchester, Manchester, UK.; Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK., Perugia E; Manchester Centre for Audiology and Deafness, School of Health Sciences, University of Manchester, Manchester, UK.; Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK., Millman RE; Manchester Centre for Audiology and Deafness, School of Health Sciences, University of Manchester, Manchester, UK.; Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
Jazyk:	angličtina
Zdroj:	International journal of audiology [Int J Audiol] 2022 Mar; Vol. 61 (3), pp. 197-204. Date of Electronic Publication: 2021 Apr 01.
DOI:	10.1080/14992027.2021.1899314
Abstrakt:	Objective: Baseline electroencephalography (EEG) alpha power, i.e. that measured prior to stimulus presentation, is a potential objective predictor of task performance. Here we assessed the predictive power of EEG alpha on performance accuracy in a digits-in-noise recognition task, factoring in hearing thresholds and age. Design: EEG alpha power, recorded while participants listened to target digits presented in a noise background, was analysed during two different baseline periods: i) a pre-stimulus baseline (pre-STIM) free from any acoustic stimulus, and ii) a pre-target baseline (pre-TARG) recorded in background noise only. Study Sample: Eighty-five participants with either normal hearing or aided hearing impairment (age range: 55-85 years old, 42 male). Results: Hierarchical multiple regression analyses indicated that i) lower hearing thresholds and, to a lesser extent, higher pre-STIM alpha power were associated with improved performance accuracy ii) alpha power in pre-STIM and pre-TARG were highly correlated across individuals but pre-TARG alpha power was not a significant predictor of performance accuracy. Conclusion: Investigations of baseline EEG alpha power as a predictor of speech-in-noise performance accuracy should control for associations between hearing thresholds and measures of EEG baseline periods.
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu