Literature DB >> 23886426

Computer-automated tinnitus assessment: noise-band matching, maskability, and residual inhibition.

James A Henry1, Larry E Roberts, Roger M Ellingson, Emily J Thielman.   

Abstract

BACKGROUND: Psychoacoustic measures of tinnitus typically include loudness and pitch match, minimum masking level (MML), and residual inhibition (RI). We previously developed and documented a computer-automated tinnitus evaluation system (TES) capable of subject-guided loudness and pitch matching. The TES was further developed to conduct computer-aided, subject-guided testing for noise-band matching (NBM), MML, and RI.
PURPOSE: The purpose of the present study was to document the capability of the upgraded TES to obtain measures of NBM, MML, and RI, and to determine the test-retest reliability of the responses obtained. RESEARCH
DESIGN: Three subject-guided, computer-automated testing protocols were developed to conduct NBM. For MML and RI testing, a 2-12 kHz band of noise was used. All testing was repeated during a second session. STUDY SAMPLE: Subjects meeting study criteria were selected from those who had previously been tested for loudness and pitch matching in our laboratory. A total of 21 subjects completed testing, including seven females and 14 males.
RESULTS: The upgraded TES was found to be fairly time efficient. Subjects were generally reliable, both within and between sessions, with respect to the type of stimulus they chose as the best match to their tinnitus. Matching to bandwidth was more variable between measurements, with greater consistency seen for subjects reporting tonal tinnitus or wide-band noisy tinnitus than intermediate types. Between-session repeated MMLs were within 10 dB of each other for all but three of the subjects. Subjects who experienced RI during Session 1 tended to be those who experienced it during Session 2.
CONCLUSIONS: This study may represent the first time that NBM, MML, and RI audiometric testing results have been obtained entirely through a self-contained, computer-automated system designed specifically for use in the clinic. Future plans include refinements to achieve greater testing efficiency. American Academy of Audiology.

Entities:  

Mesh:

Year:  2013        PMID: 23886426     DOI: 10.3766/jaaa.24.6.5

Source DB:  PubMed          Journal:  J Am Acad Audiol        ISSN: 1050-0545            Impact factor:   1.664


  5 in total

1.  Transcranial electric and acoustic stimulation for tinnitus: study protocol for a randomized double-blind controlled trial assessing the influence of combined transcranial random noise and acoustic stimulation on tinnitus loudness and distress.

Authors:  Nicole Peter; Patrick Neff; Mariana Lopes Martins; Tobias Kleinjung; Martin Meyer; Vithushika Raveenthiran; Zino Wellauer
Journal:  Trials       Date:  2022-05-19       Impact factor: 2.728

2.  Amplitude Modulated Noise for Tinnitus Suppression in Tonal and Noise-Like Tinnitus.

Authors:  Stefan Schoisswohl; Johannes Arnds; Martin Schecklmann; Berthold Langguth; Winfried Schlee; Patrick Neff
Journal:  Audiol Neurootol       Date:  2020-01-06       Impact factor: 1.854

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

Authors:  Christopher J Smalt; Jenna A Sugai; Elouise A Koops; Kelly N Jahn; Kenneth E Hancock; Daniel B Polley
Journal:  NPJ Digit Med       Date:  2022-08-29

Review 4.  A State-of-the-Art Review: Personalization of Tinnitus Sound Therapy.

Authors:  Grant D Searchfield; Mithila Durai; Tania Linford
Journal:  Front Psychol       Date:  2017-09-20

Review 5.  Multidisciplinary Tinnitus Research: Challenges and Future Directions From the Perspective of Early Stage Researchers.

Authors:  Jorge Piano Simoes; Elza Daoud; Maryam Shabbir; Sana Amanat; Kelly Assouly; Roshni Biswas; Chiara Casolani; Albi Dode; Falco Enzler; Laure Jacquemin; Mie Joergensen; Tori Kok; Nuwan Liyanage; Matheus Lourenco; Punitkumar Makani; Muntazir Mehdi; Anissa L Ramadhani; Constanze Riha; Jose Lopez Santacruz; Axel Schiller; Stefan Schoisswohl; Natalia Trpchevska; Eleni Genitsaridi
Journal:  Front Aging Neurosci       Date:  2021-06-11       Impact factor: 5.750

  5 in total

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