Abstract

A primary objective for cognitive neuroscience is to identify how features of the sensory environment are encoded in neural activity. Current auditory models of loudness perception can be used to make detailed predictions about the neural activity of the cortex as an individual listens to speech. We used two such models (loudness-sones and loudness-phons), varying in their psychophysiological realism, to predict the instantaneous loudness contours produced by 480 isolated words. These two sets of 480 contours were used to search for electrophysiological evidence of loudness processing in whole-brain recordings of electro- and magneto-encephalographic (EMEG) activity, recorded while subjects listened to the words. The technique identified a bilateral sequence of loudness processes, predicted by the more realistic loudness-sones model, that begin in auditory cortex at ~80 ms and subsequently reappear, tracking progressively down the superior temporal sulcus (STS) at lags from 230 to 330 ms. The technique was then extended to search for regions sensitive to the fundamental frequency (F0) of the voiced parts of the speech. It identified a bilateral F0 process in auditory cortex at a lag of ~90 ms, which was not followed by activity in STS. The results suggest that loudness information is being used to guide the analysis of the speech stream as it proceeds beyond auditory cortex down STS toward the temporal pole.

Highlights

  • How features of the auditory environment are encoded in neural activity is of primary importance in speech perception

  • The third lays out the procedure we use in this study to search for cortical entrainment, and the fourth describes the materials and methods for the electro- and magneto-encephalographic (EMEG) study on spoken words that provides the speech comprehension data analyzed here

  • The peak vertices for the main clusters at 75 and 90 ms both fall in auditory cortex (Heschl’s gyrus)

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Summary

Introduction

How features of the auditory environment are encoded in neural activity is of primary importance in speech perception. Questions regarding this encoding are tackled by hypothesizing models that specify which features of the environment are retained, and how they are represented in neural activity. In those situations where the environment changes over time, some of these features may be “tracked” by cortical current, a phenomenon known as cortical entrainment (Ding and Simon, 2014; Ding et al, 2014). The associated regions of entrainment are often found to be located in, or around, auditory cortex, as would be expected

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