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Learning from the Longitudinal Outcomes of Children with Hearing Impairment (LOCHI) study: summary of 5-year findings and implications
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Investigating the interaction between dichotic deficits and cognitive abilities using the Dichotic Digits difference Test (DDdT) part 2
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Cortical auditory evoked potentials in (un)aided normal-hearing and hearing-impaired adults
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Development of telscreen : a telephone-based speech-in-noise hearing screening test with a novel masking noise and scoring procedure
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The Dichotic Digits difference Test (DDdT) : development, normative data, and test-retest reliability studies part 1
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Cortical auditory-evoked potentials in response to multitone stimuli in hearing-impaired adults
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Results from a national central auditory processing disorder service : a real-world assessment of diagnostic practices and remediation for central auditory processing disorder
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The Development of the Mealings, Demuth, Dillon, and Buchholz Classroom Speech Perception Test
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The Effect of different open plan and enclosed classroom acoustic conditions on speech perception in Kindergarten children
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An Assessment of different sized open plan and enclosed kindergarten classroom listening environments
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Effect of audibility on spatial release from speech-on-speech masking
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The Audiological journey and early outcomes of twelve infants with auditory neuropathy spectrum disorder from birth to two years of age
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Investigating the acoustics of a sample of open plan and enclosed Kindergarten classrooms in Australia
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The Impact of auditory processing and cognitive abilities in children
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Estimating hearing thresholds in hearing-impaired adults through objective detection of cortical auditory evoked potentials
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Abstract:
Background: Hearing threshold estimation based on cortical auditory evoked potentials (CAEPs) has been applied for some decades. However, available research is scarce evaluating the accuracy of this technique with an automated paradigm for the objective detection of CAEPs. Purpose: To determine the difference between behavioral and CAEP thresholds detected using an objective paradigm based on the Hotelling's T² statistic. To propose a decision tree to choose the next stimulus level in a sample of hearing-impaired adults. This knowledge potentially could increase the efficiency of clinical hearing threshold testing. Research Design: Correlational cohort study. Thresholds obtained behaviorally were compared with thresholds obtained through cortical testing. Study Sample: Thirty-four adults with hearing loss participated in this study. Data Collection and Analysis: For each audiometric frequency and each ear, behavioral thresholds were collected with both pure-tone and 40-msec tone-burst stimuli. Then, corresponding cortical hearing thresholds were determined. An objective cortical-response detection algorithm based on the Hotelling's T² statistic was applied to determine response presence. A decision tree was used to select the next stimulus level. In total, 241 behavioral-cortical threshold pairs were available for analysis. The differences between CAEP and behavioral thresholds (and their standard deviations [SDs]) were determined for each audiometric frequency. Cortical amplitudes and electroencephalogram noise levels were extracted. The practical applicability of the decision tree was evaluated and compared to a Hughson-Westlake paradigm. Results: It was shown that, when collapsed over all audiometric frequencies, behavioral pure-tone thresholds were on average 10 dB lower than 40-msec cortical tone-burst thresholds, with an SD of 10 dB. Four percent of CAEP thresholds, all obtained from just three individual participants, were more than 30 dB higher than their behavioral counterparts. The use of a decision tree instead of a Hughson-Westlake procedure to obtain a CAEP threshold did not seem to reduce test time, but there was significantly less variation in the number of CAEP trials needed to determine a threshold. Conclusions: Behavioral hearing thresholds in hearing-impaired adults can be determined with an acceptable degree of accuracy (mean threshold correction and SD of both 10 dB) using an objective statistical cortical-response detection algorithm in combination with a decision tree to determine the test levels. ; 14 page(s)
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Keyword:
automated objective detection; cortical auditory evoked potentials; estimation techniques; hearing impairment; hearing thresholds
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URL: http://hdl.handle.net/1959.14/1063898
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Bigger is better : increasing cortical auditory response amplitude via stimulus spectral complexity
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An Evaluation of the performance of two binaural beamformers in complex and dynamic multitalker environments
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Evaluation of headphone effects on performance in the LiSN & Learn auditory training software
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Effect of audibility on spatial release from speech-on-speech masking
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