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Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
Published on: October 24, 2012
Neural tracking of the speech envelope predicts binaural unmasking
Benjamin Dieudonné1, Lien Decruy1, Jonas Vanthornhout1
1Experimental Otorhinolaryngology, Department of Neurosciences, KU Leuven - University of Leuven, Leuven, Belgium.
Abstract:
Binaural unmasking is a remarkable phenomenon that it is substantially easier to detect a signal in noise when the interaural parameters of the signal are different from those of the noise - a useful mechanism in so-called cocktail party scenarios. In this study, we investigated the effect of binaural unmasking on neural tracking of the speech envelope. We measured EEG in 8 participants who listened to speech in noise at a fixed signal-to-noise ratio, in two conditions: one where speech and noise had the same interaural phase difference (both speech and noise having an opposite waveform across ears, SπNπ), and one where the interaural phase difference of the speech was different from that of the noise (only the speech having an opposite waveform across ears, SπN). We measured a clear benefit of binaural unmasking in behavioural speech understanding scores, accompanied by increased neural tracking of the speech envelope. Moreover, analysing the temporal response functions revealed that binaural unmasking also resulted in decreased peak latencies and increased peak amplitudes. Our results are consistent with previous research using auditory evoked potentials and steady-state responses to quantify binaural unmasking at cortical levels. Moreover, they confirm that neural tracking of speech is associated with speech understanding, even if the acoustic signal-to-noise ratio is kept constant. From a clinical perspective, these results offer the potential for the objective evaluation of binaural speech understanding mechanisms, and the objective detection of pathologies sensitive to binaural processing, such as asymmetric hearing loss, auditory neuropathy and age-related deficits.
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