Tinnitus Loudness Tracking: A “Type V Békésy” Pattern Does Not Exist for Pseudotinnitus

Steiger, James; Thielman, Emily J.; Henry, James A.

doi:10.3766/jaaa.24.10.4

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…The TES has been shown to (1) obtain measures of tinnitus loudness and pitch that are comparable to the same measures obtained by an audiologist using a clinical audiometer 11 ; (2) obtain reliable hearing thresholds with 1-dB resolution in normal-hearing and cochlear-impaired listeners 12 13 ; (3) obtain reliable tinnitus loudness matches with 1-dB resolution across the test-frequency range (0.25–16 kHz) 14 (loudness matches were equally reliable at all frequencies, including at the tinnitus pitch-matched frequency); (4) obtain reliable measures of tinnitus noise-matching, minimum masking levels, and residual inhibition (RI; temporary suppression of tinnitus following certain sound stimulation) 15 ; (5) enable efficient patient control of stimulus parameters during testing 16 ; and (6) conduct tinnitus pitch matching using Bayesian methodology to improve precision of the measures. 17 Other findings using the TES include the following: (1) psychoacoustic testing was not shown to be useful for detecting tinnitus malingering 18 19 20 ; (2) comparing measures of tinnitus loudness (loudness matching, constrained loudness scaling, and a numeric rating scale [NRS]) revealed only weak-to-moderate correlations 21 ; and (3) psychoacoustic measures of tinnitus appear unrelated to the impact of tinnitus, as assessed by a subjective outcome instrument. 22 These latter two studies were published by Quinn (formerly Manning) who was a postdoctoral researcher at the NCRAR from 2015 to 2021.…”

Section: Tinnitus Assessmentmentioning

confidence: 99%

History of Tinnitus Research at the VA National Center for Rehabilitative Auditory Research (NCRAR), 1997–2021: Studies and Key Findings

et al. 2023

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The Veterans Affairs (VA) Rehabilitation Research & Development (RR&D) National Center for Rehabilitative Auditory Research (NCRAR) was first funded by the RR&D Service in 1997 and has been funded continuously since that time. The overall purpose of the NCRAR is to “improve the quality of life of Veterans and others with hearing and balance problems through clinical research, technology development, and education that leads to better patient care” ( www.ncrar.research.va.gov ). An important component of the research conducted at the NCRAR has been a focus on clinical and rehabilitative aspects of tinnitus. Multiple investigators have received grants to conduct tinnitus research and the present article provides an overview of this research from the NCRAR's inception through 2021.

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Section: Tinnitus Assessmentmentioning

confidence: 99%

History of Tinnitus Research at the VA National Center for Rehabilitative Auditory Research (NCRAR), 1997–2021: Studies and Key Findings

et al. 2023

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“…Possible incentives for doing so include obtaining economic compensation or to be removed from difficult circumstances, such as military service (Jerger et al, 1981). Previous work has shown mixed results in distinguishing malingerers from tinnitus patients using psychoacoustic measures (Henry, McMillan, et al, 2013; Steiger et al, 2013), partially due to the lack of reliability within a given patient with tinnitus (McMillan et al, 2014). In this study we develop a system that automatically classifies (i.e.…”

Section: Introductionmentioning

confidence: 99%

Automatic Identification of Tinnitus Malingering Based on Overt and Covert Behavioral Responses During Psychoacoustic Testing

Smalt

Koops

Sugai

et al. 2022

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Tinnitus, or ringing in the ears, is a prevalent condition that imposes a substantial health and financial burden on the patient and to society. The diagnosis of tinnitus, like pain, relies on patient self-report. Subjective self-report measures can complicate the distinction between actual and fraudulent claims and obscure accurate severity assessments. In this study, we combined tablet-based self-directed hearing assessments with neural network classifiers to objectively determine tinnitus severity, and to differentiate participants with tinnitus (N=24) from a malingering cohort, who were instructed to feign an imagined tinnitus percept (N=28). We identified clear differences between the groups, both in their overt rating of tinnitus severity but also covert differences in their fingertip movement trajectories on the tablet surface as they performed the reporting assay. Using only 10 minutes of data, we achieved 81% accuracy classifying patients vs malingerers (ROC AUC=0.88) with leave-one-participant-out cross validation. Objective measurements of tinnitus will improve estimates of tinnitus prevalence and help to prioritize and direct funds for tinnitus compensation.

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“…Possible incentives for doing so include obtaining economic compensation or to be removed from difficult circumstances, such as military service 11 or for early retirement. Previous work has shown mixed results in distinguishing malingerers from tinnitus patients using psychoacoustic measures 12 , 13 , which may reflect the inherently fluctuant nature of tinnitus and the associated challenges this introduces for test-retest reliability for any given tinnitus subject over time 8 , 14 .…”

Section: Introductionmentioning

confidence: 99%

Automatic identification of tinnitus malingering based on overt and covert behavioral responses during psychoacoustic testing

et al. 2022

View full text Add to dashboard Cite

Tinnitus, or ringing in the ears, is a prevalent condition that imposes a substantial health and financial burden on the patient and to society. The diagnosis of tinnitus, like pain, relies on patient self-report, which can complicate the distinction between actual and fraudulent claims. Here, we combined tablet-based self-directed hearing assessments with neural network classifiers to automatically differentiate participants with tinnitus (N = 24) from a malingering cohort, who were instructed to feign an imagined tinnitus percept (N = 28). We identified clear differences between the groups, both in their overt reporting of tinnitus features, but also covert differences in their fingertip movement trajectories on the tablet surface as they performed the reporting assay. Using only 10 min of data, we achieved 81% accuracy classifying patients and malingerers (ROC AUC = 0.88) with leave-one-out cross validation. Quantitative, automated measurements of tinnitus salience could improve clinical outcome assays and more accurately determine tinnitus incidence.

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Tinnitus Loudness Tracking: A “Type V Békésy” Pattern Does Not Exist for Pseudotinnitus

Abstract: Tinnitus loudness tracking does not appear to hold promise as a clinical tool for the identification of participants exhibiting pseudotinnitus.

Cited by 3 publications

References 28 publications

History of Tinnitus Research at the VA National Center for Rehabilitative Auditory Research (NCRAR), 1997–2021: Studies and Key Findings

History of Tinnitus Research at the VA National Center for Rehabilitative Auditory Research (NCRAR), 1997–2021: Studies and Key Findings

Automatic Identification of Tinnitus Malingering Based on Overt and Covert Behavioral Responses During Psychoacoustic Testing

Automatic identification of tinnitus malingering based on overt and covert behavioral responses during psychoacoustic testing

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