Rachel Ellis

Cognitive skills and the effect of noise on perceived effort in employees with aided hearing impairment and normal hearing

The aim of the following study was to examine the relationship between working memory capacity (WMC), executive functions (EFs) and perceived effort (PE) after completing a work-related task in quiet and in noise in employees with aided hearing impairment (HI) and normal hearing. The study sample consisted of 20 hearing-impaired and 20 normally hearing participants. Measures of hearing ability, WMC and EFs were tested prior to performing a work-related task in quiet and in simulated traffic noise. PE of the work-related task was also measured. Analysis of variance was used to analyze within- and between-group differences in cognitive skills, performance on the work-related task and PE. The presence of noise yielded a significantly higher PE for both groups. However, no significant group differences were observed in WMC, EFs, PE and performance in the work-related task. Interestingly, significant negative correlations were only found between PE in the noise condition and the ability to update information for both groups. In summary, noise generates a significantly higher PE and brings explicit processing capacity into play, irrespective of hearing. This suggest that increased PE involves other factors such as type of task that is to be performed, performance in the cognitive skill required solving the task at hand and whether noise is present. We therefore suggest that special consideration in hearing care should be made to the individuals prerequisites on these factors in the labor market.

Predicting Speech-in-Noise Recognition From Performance on the Trail Making Test: Results From a Large-Scale Internet Study.

Objective: The aim of the study was to investigate the utility of an internet-based version of the trail making test (TMT) to predict performance on a speech-in-noise perception task. Design: Data were taken from a sample of 1509 listeners between ages 18 and 91 years old. Participants completed computerized versions of the TMT and an adaptive speech-in-noise recognition test. All testing was conducted via the internet. Results: The results indicate that better performance on both the simple and complex subtests of the TMT are associated with better speech-in-noise recognition scores. Thirty-eight percent of the participants had scores on the speech-in-noise test that indicated the presence of a hearing loss. Conclusions: The findings suggest that the TMT may be a useful tool in the assessment, and possibly the treatment, of speech-recognition difficulties. The results indicate that the relation between speech-in-noise recognition and TMT performance relates both to the capacity of the TMT to index processing speed and to the more complex cognitive abilities also implicated in TMT performance.

Cognition and Speech-In-Noise Recognition: The Role of Proactive Interference

BACKGROUND Complex working memory (WM) span tasks have been shown to predict speech-in-noise (SIN) recognition. Studies of complex WM span tasks suggest that, rather than indexing a single cognitive process, performance on such tasks may be governed by separate cognitive subprocesses embedded within WM. Previous research has suggested that one such subprocess indexed by WM tasks is proactive interference (PI), which refers to difficulties memorizing current information because of interference from previously stored long-term memory representations for similar information. PURPOSE The aim of the present study was to investigate phonological PI and to examine the relationship between PI (semantic and phonological) and SIN perception. RESEARCH DESIGN A within-subjects experimental design was used. STUDY SAMPLE An opportunity sample of 24 young listeners with normal hearing was recruited. DATA COLLECTION AND ANALYSIS Measures of resistance to, and release from, semantic and phonological PI were calculated alongside the signal-to-noise ratio required to identify 50% of keywords correctly in a SIN recognition task. The data were analyzed using t-tests and correlations. RESULTS Evidence of release from and resistance to semantic interference was observed. These measures correlated significantly with SIN recognition. Limited evidence of phonological PI was observed. CONCLUSIONS The results show that capacity to resist semantic PI can be used to predict SIN recognition scores in young listeners with normal hearing. On the basis of these findings, future research will focus on investigating whether tests of PI can be used in the treatment and/or rehabilitation of hearing loss.

Speech Recognition and Cognitive Skills in Bimodal Cochlear Implant Users

Purpose To examine the relation between speech recognition and cognitive skills in bimodal cochlear implant (CI) and hearing aid users. Method Seventeen bimodal CI users (28-74 years) were recruited to the study. Speech recognition tests were carried out in quiet and in noise. The cognitive tests employed included the Reading Span Test and the Trail Making Test (Daneman & Carpenter, 1980; Reitan, 1958, 1992), measuring working memory capacity and processing speed and executive functioning, respectively. Data were analyzed using paired-sample t tests, Pearson correlations, and partial correlations controlling for age. Results The results indicate that performance on some cognitive tests predicts speech recognition and that bimodal listening generates a significant improvement in speech in quiet compared to unilateral CI listening. However, the current results also suggest that bimodal listening requires different cognitive skills than does unimodal CI listening. This is likely to relate to the relative difficulty of having to integrate 2 different signals and then map the integrated signal to representations stored in the long-term memory. Conclusions Even though participants obtained speech recognition benefit from bimodal listening, the results suggest that processing bimodal stimuli involves different cognitive skills than does unimodal conditions in quiet. Thus, clinically, it is important to consider this when assessing treatment outcomes.

Editorial: Cognitive Hearing Mechanisms of Language Understanding: Short- and Long-Term Perspectives

Editorial : Cognitive hearing mechanisms of language understanding: Short- and long-term perspectives

How does susceptibility to proactive interference relate to speech recognition in aided and unaided conditions

Proactive interference (PI) is the capacity to resist interference to the acquisition of new memories from information stored in the long-term memory. Previous research has shown that PI correlates significantly with the speech-in-noise recognition scores of younger adults with normal hearing. In this study, we report the results of an experiment designed to investigate the extent to which tests of visual PI relate to the speech-in-noise recognition scores of older adults with hearing loss, in aided and unaided conditions. The results suggest that measures of PI correlate significantly with speech-in-noise recognition only in the unaided condition. Furthermore the relation between PI and speech-in-noise recognition differs to that observed in younger listeners without hearing loss. The findings suggest that the relation between PI tests and the speech-in-noise recognition scores of older adults with hearing loss relates to capability of the test to index cognitive flexibility.