Ellis Rachel J, Molander Peter, Rönnberg Jerker, Lyxell Björn, Andersson Gerhard, Lunner Thomas
1Department 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.
Ear Hear. 2016 Jan-Feb;37(1):73-9. doi: 10.1097/AUD.0000000000000218.
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.
本研究旨在调查基于互联网的连线测验（TMT）版本预测噪声中言语感知任务表现的效用。
数据取自1509名年龄在18至91岁之间的听众样本。参与者完成了TMT的计算机化版本和自适应噪声中言语识别测试。所有测试均通过互联网进行。
结果表明，TMT简单和复杂子测试中表现更好与噪声中言语识别分数更高相关。38%的参与者在噪声中言语测试中的分数表明存在听力损失。
研究结果表明，TMT可能是评估以及可能治疗言语识别困难的有用工具。结果表明，噪声中言语识别与TMT表现之间的关系既与TMT索引处理速度的能力有关，也与TMT表现中涉及的更复杂认知能力有关。
