Effects of Age and Cognitive Functions on the Neural Tracking of Speech in Noise

Older adults often struggle to comprehend speech in noisy environments, a challenge influenced by declines in both auditory processing and cognitive functions. This study examines age-related differences in speech recognition in noise, focusing on the roles of delta (1-4 Hz) and theta (4-8 Hz) neural oscillations and their relationship with cognitive function, particularly working memory. Electroencephalography (EEG) was used to collect data from 23 young adults (20-35 years) and 23 older adults (65-80 years) with normal hearing. Cognitive assessments were administered to older adults, and both groups completed an EEG task involving speech recognition in Speech-Shaped Noise (SSN) at individualized noise levels based on their Sentence Recognition Scores (SRS). Results showed that age significantly impacted hit rates and reaction times in noisy speech recognition tasks. Theta-band neural tracking was notably stronger in older adults, while delta-band tracking showed no age-related difference. Pearsons correlations indicated significant associations between age-related cognitive decline, reduced hearing sensitivity, and Mini-Mental State Examination (MMSE) scores. Regression analyses showed that theta-band neural tracking at specific SRS levels significantly predicted word list recognition in the higher SRT group, while constructional recall was strongly predicted in the lower SRT group. The findings suggest that older adults may rely on theta-band neural tracking as a compensatory mechanism to support speech perception in noise, with indirect links between working memory and speech perception. Further research is needed to explore the causal relationship between cognitive function and hearing.