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Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

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Ageing without hearing loss or cognitive impairment causes a decrease in speech intelligibility only in informational

R Rajan¹, K E Cainer

¹Department of Physiology, Monash University, Monash, VIC, Australia. ramesh.rajan@med.monash.edu.au

|May 20, 2008

Summary

This summary is machine-generated.

Older adults (>60) experience difficulty understanding speech in noise, particularly with complex auditory scenes. This suggests a decline in modality-specific cognitive processing for speech segregation.

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Area of Science:

Auditory Neuroscience
Cognitive Aging
Speech Perception

Background:

Understanding speech in noise relies on auditory streaming and segregation.
Ageing impairs speech comprehension in noisy environments.
The role of generalized versus modality-specific cognitive factors in age-related speech-in-noise difficulties is not fully understood.

Purpose of the Study:

To investigate how ageing affects the discrimination of open-set speech in background noise.
To examine the influence of sentence demand and masker type on age-related speech perception decline.

Main Methods:

Tested normal-hearing individuals across decade age cohorts (20-69 years).
Utilized sentences with varying structural and linguistic characteristics to alter demand.
Employed energetic and informational maskers to manipulate auditory load.

Main Results:

A decline in speech reception thresholds was observed in the oldest cohort (>60 years).
This decline was specific to the more demanding informational masker condition.
Performance reduction was evident for both sentence types under informational masking.

Conclusions:

Ageing is associated with a modality-specific decline in cognitive processing for speech segregation.
Older adults (>60) show reduced efficiency in using acoustic and phonetic cues to separate speech from background noise.
Informational masking significantly impacts speech perception in older adults, highlighting cognitive load challenges.