Sign in
NeuroscienceHearing Research
Peer-reviewed journal article

Neural tracking as a diagnostic tool to assess the auditory pathway

Marlies GillisiD, Jana Van CanneytiD, Tom FrancartiD, Jonas VanthornhoutiD

Abstract

When a person listens to sound, the brain time-locks to specific aspects of the sound. This is called neural tracking and it can be investigated by analysing neural responses (e.g., measured by electroencephalography) to continuous natural speech. Measures of neural tracking allow for an objective investigation of a range of auditory and linguistic processes in the brain during natural speech perception. This approach is more ecologically valid than traditional auditory evoked responses and has great potential for research and clinical applications. This article reviews the neural tracking framework and highlights three prominent examples of neural tracking analyses: neural tracking of the fundamental frequency of the voice (f0), the speech envelope and linguistic features. Each of these analyses provides a unique point of view into the human brains hierarchical stages of speech processing. F0-tracking assesses the encoding of fine temporal information in the early stages of the auditory pathway, i.e., from the auditory periphery up to early processing in the primary auditory cortex. Envelope tracking reflects bottom-up and top-down speechrelated processes in the auditory cortex and is likely necessary but not sufficient for speech intelligibility. Linguistic feature tracking (e.g. word or phoneme surprisal) relates to neural processes more directly related to speech intelligibility. Together these analyses form a multi-faceted objective assessment of an individuals auditory and linguistic processing.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
57
FWCI
1.85
Field percentile
top 13%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISPrinsloo '22Kösem '22Guo '25Verschueren '22Vanthornhou '19Gillis '23
80% semantic matchNeuroscience
Kevin D. Prinsloo, Edmund C. Lalor·Journal of Neuroscience·Aug 30, 2022· 33 citations