Document Type : Review Article
Authors
1
Student Research Committee, MSc in Audiology, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2
Department of Audiology, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3
MSc in Audiology. Department of Audiology, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4
MSc in Audiology. Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract
Background and Aim: Central auditory processing is defined as the effective and effsicient use and analysis of sound signals by the central nervous system encompassing detectable processing of auditory information in the central nervous system and the neurobiological activities that give rise to electrophysiological auditory potentials. Auditory temporal processing is the perception of sound or perception of sound changes within a short time interval, and is a major capability in the perception of speech and non-speech sounds, music, rhythm and periodicity. Auditory temporal processing also is considered an essential ability in discrimination of pith, duration and phoneme. Several tests have been made to assess auditory temporal processing; the most popular tests include Duration Pattern Sequence Test (DPST), Pitch Pattern Sequence Test (PPST), and Random Gap Detection Test (RGDT). This present review was carried out to collect information about the standard values of the test results from these three tests.
Materials and Methods: A literature review about normative data of tonal auditory processing tests was carried out based on the studies published from 1971 to 2015 in PubMed, Google Scholar, and Science Direct databases, using keywords including auditory processing, adult auditory processing, temporal auditory processing, normative data of Duration Pattern Sequence Test, normative data of Pitch Pattern Sequence Test, normative data of Random Gap Detection Test, and Gap In Noise.
Conclusion: Increase in the number of participants leads to more accurate results for obtaining norm information. The best criterion is two standard deviations from the mean.
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