Predicting Speech-in-Noise Recognition From Performance on the Trail Making Test: Results From a Large-Scale Internet Study

Ear and Hearing
Rachel J EllisThomas Lunner

Abstract

The aim of the study was to investigate the utility of an internet-based version of the trail making test (TMT) to predict performance on a speech-in-noise perception task. Data were taken from a sample of 1509 listeners between ages 18 and 91 years old. Participants completed computerized versions of the TMT and an adaptive speech-in-noise recognition test. All testing was conducted via the internet. The results indicate that better performance on both the simple and complex subtests of the TMT are associated with better speech-in-noise recognition scores. Thirty-eight percent of the participants had scores on the speech-in-noise test that indicated the presence of a hearing loss. The findings suggest that the TMT may be a useful tool in the assessment, and possibly the treatment, of speech-recognition difficulties. The results indicate that the relation between speech-in-noise recognition and TMT performance relates both to the capacity of the TMT to index processing speed and to the more complex cognitive abilities also implicated in TMT performance.

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Citations

Jul 15, 2017·PloS One·Marcela Perrone-BertolottiFanny Meunier
Nov 29, 2017·Journal of the Association for Research in Otolaryngology : JARO·Yihsin Tai, Fatima T Husain
Sep 9, 2017·Journal of Speech, Language, and Hearing Research : JSLHR·Håkan HuaRachel J Ellis
Mar 21, 2020·International Journal of Audiology·Sebastián RiveraLouise Hickson
Mar 14, 2017·Frontiers in Psychology·Lily Tao, Marcus Taft
Nov 30, 2019·Frontiers in Integrative Neuroscience·Katri Annukka SaarikiviVesa Putkinen
Apr 4, 2021·Geriatrics·Shraddha A ShendeRaksha A Mudar

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