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.
|Number of pages||8|
|Journal||International Journal of Audiology|
|Publication status||Published - 1 Apr 2021|
- Behavioural measures
- alpha power
- listening effort
- performance accuracy
- speech perception
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Manchester Centre for Audiology and Deafness (ManCAD)
Munro, K., Millman, R., Lamb, W., Dawes, P., Plack, C., Stone, M., Kluk-De Kort, K., Moore, D., Morton, C., Prendergast, G., Couth, S., Schlittenlacher, J., Chilton, H., Visram, A., Dillon, H., Guest, H., Heinrich, A., Jackson, I., Littlejohn, J., Jones, L., Lough, M., Morgan, R., Perugia, E., Roughley, A., Whiston, H., Wright, C., Saunders, G., Kelly, C., Cross, H., Loughran, M. & Hoseinabadi, R.