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Predicting Speech-in-Noise Recognition From Performance on the Trail Making Test: Results From a Large-Scale Internet
Rachel J Ellis1, Peter Molander, Jerker Rönnberg
11Department of Behavioural Sciences and Learning, Linnaeus Centre HEAD, Swedish Institute for Disability Research, Linköping University, Linköping, Sweden; 2Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden; and 3Eriksholm Research Centre, Oticon A/S, Snekkersten, Denmark.
The internet-based Trail Making Test (TMT) effectively predicts speech-in-noise recognition abilities. Better TMT performance, assessing processing speed and cognitive function, correlates with improved auditory perception.
Area of Science:
- Auditory Neuroscience
- Cognitive Psychology
- Human Computer Interaction
Background:
- Speech-in-noise (SPIN) perception is crucial for effective communication.
- Assessing SPIN difficulties often requires specialized audiological equipment.
- Cognitive functions, including processing speed, significantly impact SPIN abilities.
Purpose of the Study:
- To evaluate the efficacy of an internet-delivered Trail Making Test (TMT) in predicting performance on a SPIN task.
- To explore the relationship between TMT performance and auditory perception in a large, diverse sample.
Main Methods:
- 1509 participants (aged 18-91) completed online computerized versions of the TMT (simple and complex) and an adaptive SPIN recognition test.
- Data collection and testing were conducted entirely via the internet, ensuring accessibility and standardization.
Main Results:
- A significant positive correlation was found between TMT performance (both subtests) and SPIN recognition scores.
- 38% of participants scored below the threshold indicating a potential hearing loss on the SPIN test.
- TMT performance explained a portion of the variance in SPIN recognition.
Conclusions:
- The internet-based TMT shows promise as a tool for assessing speech-recognition difficulties.
- TMT's predictive utility stems from its ability to measure both processing speed and complex cognitive functions relevant to auditory perception.
- This digital approach may facilitate wider screening and potential intervention for hearing-related communication challenges.
