Spectro-Temporal Modulation Sensitivity Prospectively Predicts Speech-in-Noise Recognition in Cochlear Implant Users.
TL;DR
A simple spectro-temporal ripple discrimination test is a reliable predictor of speech-in-noise outcome 1 year after cochlear implantation, over and above established clinical speech tests.
Abstract
Objectives
For cochlear implant (CI) patients, reliable predictors of speech outcome are desirable. In this longitudinal study, we examined the contributions of spectro-temporal sensitivity to successful speech recognition following cochlear implantation.
Design
We assessed N = 46 recently implanted adult patients shortly after CI activation (T1) and 6 months later (T2) with an adaptive ripple discrimination paradigm where dynamic ripples varied around the temporal rate of 4 Hz and spectral scale of 0.5 cyc/oct. At time points T1 and T2, we evaluated speech-in-quiet recognition using the Freiburg number and monosyllabic word test. The Oldenburg speech-in-noise test was administered 1 year after implantation (T3) to a subset of N = 36 CI recipients.
Results
Shortly after implantation (T1), temporal ripple discrimination thresholds predicted speech-in-noise recognition 1 year later (T3; Pearson's r = 0.51). In a linear model predicting 1-year speech-in-noise outcome, the predictors temporal or spectral thresholds at T1 and age performed better than speech measures such as Freiburg wordrecognition.
Conclusions
A simple spectro-temporal ripple discrimination test is a reliable predictor of speech-in-noise outcome 1 year after cochlear implantation, over and above established clinical speech tests. It offers an efficient method in clinical settings to improve the early prediction of speech outcome.