Tracking the dynamic representation of consonants from auditory periphery to cortex

In order to perceive meaningful speech, the auditory system must recognize different phonemes amidst a noisy and variable acoustic signal. To better understand the processing mechanisms underlying this ability, evoked cortical responses to different spoken consonants were measured with electroencephalography (EEG). Using multivariate pattern analysis (MVPA), binary classifiers attempted to discriminate between the EEG activity evoked by two given consonants at each peri-stimulus time sample, providing a dynamic measure of their cortical dissimilarity. To examine the relationship between representations at the auditory periphery and cortex, MVPA was also applied to modelled auditory-nerve (AN) responses of consonants, and time-evolving AN-based and EEG-based dissimilarities were compared with one another. Cortical dissimilarities between consonants were commensurate with their articulatory distinctions, particularly their manner of articulation, and to a lesser extent, their voicing. Furthermore, cortical distinctions between consonants in two periods of activity, centered at 130 and 400 ms after onset, aligned with their peripheral dissimilarities in distinct onset and post-onset periods, respectively. In relating speech representations across articulatory, peripheral, and cortical domains, the understanding of crucial transformations in the auditory pathway underlying the ability to perceive speech is advanced.