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

OBJECTIVE 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. DESIGN 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. RESULTS 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. CONCLUSIONS 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.