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Completed

NCT Number: NCT04854031

Stream Segregation and Speech Recognition in Noise in Individuals With Cochlear Implants

Individuals with cochlear implants will complete tasks which measure auditory resolution, working memory, stream segregation, and speech recognition in the presence of competing speech using their everyday clinical device settings. The relationship between these tasks will be examined to identify the factors which predict successful speech recognition in the presence of competing speech.

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Key information

Conditions

Cochlear Implants

Age range

19 year–80 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Boys Town National Research Hospital

Omaha, Nebraska, 68131, United States

About this study

Individuals with cochlear implants struggle to understand speech in the presence of competing talkers because they have trouble segregating auditory streams. The premise of this project is that individual differences in auditory resolution and cognitive ability across individuals with cochlear implants determine the extent to which they can segregate auditory streams from one another and hear out target speech embedded in competing talkers. Our goal is to test whether the link between speech recognition in noise and individual differences in auditory resolution and working memory in individuals with cochlear implants is due to the limitations that these individual differences place on stream segregation. The outcome measure to be predicted is sentence recognition in two-talker babble. Previous work has found that spectral and temporal modulation detection thresholds (measures of auditory resolution) and performance on the reading span task (a measure of working memory that is closely linked to fluid intelligence) are predictors of speech recognition in quiet. To account for these sources of variability in speech recognition, we will verify that these tasks jointly predict individual differences in sentence recognition in quiet. Adding competing talkers during the speech recognition task will introduce additional variability beyond the variability of speech recognition in quiet. We hypothesize that this additional variability with competing talkers should be predicted by individual differences in stream segregation ability, which will in turn be predicted by auditory resolution and working memory. Obligatory and voluntary stream segregation ability will be measured using rapidly presented digit sequences manipulated to have alternating fundamental frequencies (F0) for each digit. Participants will resist integration and repeat back only the digits presented with the higher F0. The magnitude of the F0 alternation will be manipulated to control the difficulty of segregating streams. The predicted relationship between stream segregation and sentence recognition will be tested for auditory resolution and working memory in independent and combined models. Completing this goal will identify the auditory and cognitive factors that support stream segregation in post-lingually deafened adults with cochlear implants. This identification will enable development of cochlear implant design and rehabilitation strategies to facilitate stream segregation in these patients as well as investigation of the developmental trajectories of these factors in children with cochlear implants. We plan to implement this study in at-home testing conditions to avoid risking coronavirus disease 2019 transmission in the lab, so this work will also determine the feasibility of at-home testing of individuals with cochlear implants. At-home testing would expand the amount and diversity of participants we are able to recruit for future studies.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Has at least one cochlear implant.
  • Lost their hearing during adulthood.
  • Native English speaker.

Exclusion criteria

  • Cognitive impairment

Treatment and study plan

Cochlear Implants

Device

Individuals with cochlear implants will be tested on their hearing ability. Auditory recordings of speech will be played to participants from a loudspeaker. Recordings will be edited to add competing noise sources and to adjust talker voice pitch. Synthetic sounds will be manipulated to control auditory cue salience in detection tasks.

Primary outcomes

  1. Speech Recognition

    Time frame: Up to 30 minutes in each of two listening conditions.

    The metric for speech recognition is the percentage of Perceptually Robust English Sentence Test Open-set (PRESTO) sentence keywords that were correctly repeated in order.

  2. Temporal Modulation Detection Threshold

    Time frame: Up to 30 minutes

    The metric for temporal modulation detection is the modulation depth relative to 100% modulation which the participant can detect 71% of the time.

  3. Spectral Modulation Detection Thresholds

    Time frame: Up to 30 minutes

    The metric for spectral modulation detection is the magnitude of the peak-to-valley ratio of the spectrally modulated stimulus which the participant can detect 71% of the time.

  4. Reading Span Task Performance

    Time frame: Up to 20 minutes

    The outcome is the percentage of letters recalled in the correct position across all trials, out of a total of 75 letters.

  5. Digit Span Task Performance

    Time frame: Up to 20 minutes

    The outcome is the total percentage of digits recalled in the correct position across all trials, out of a maximum of 220.

  6. Free Recall Task Performance

    Time frame: Up to 10 minutes

    The outcome is the average number of words recalled from each list, with a possible maximum of 12.

  7. Digit Updating Task Performance

    Time frame: Up to 20 minutes

    The outcome is the percentage of numbers correctly recalled across boxes, out of a total of 49.

  8. Running Digit Span Task Performance

    Time frame: Up to 15 minutes

    The outcome is the average number of digits recalled in the correct position relative to the last item in the sequence across lists.

  9. Stream Segregation

    Time frame: Up to 1 hour

    The metric for stream segregation is the percent change in digit recall that occurs when voice pitch differs from the distractor digits (85, 120, and 150 Hz) relative to when voice pitch between target and distractor digits is the same (200 Hz).

Sponsors and collaborators

Lead sponsor

Father Flanagan's Boys' Home

Other

Registry information

Important dates

Study start
2021
Primary completion
2022
Study completion
2022
First posted
Apr 22, 2021
Registry last updated
May 18, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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