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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Speech Perception

Background:

  • Speech perception relies on both auditory and visual information.
  • The McGurk effect demonstrates illusory sound perception from incongruent audio-visual (AV) stimuli.
  • Previous research indicates distributed cortical involvement in cross-modal speech perception, but network mechanisms are unclear.

Purpose of the Study:

  • To investigate the neural representation of subjective cross-modal speech perception.
  • To explore the limits of representational space and cortical network mechanisms in audio-visual speech perception.
  • To identify neural markers of audio-visual integration during speech perception.

Main Methods:

  • Combined psychophysical and electroencephalography (EEG) study.
  • Participants reported perceptions of synchronous and asynchronous incongruent AV speech stimuli.
  • Analysis of event-related potentials (ERPs), spectral power, and functional connectivity.

Main Results:

  • An enhanced positivity in the event-related potential (ERP) peak around 300 ms post-stimulus onset correlated with cross-modal perception.
  • Decreased spectral power in frontal and temporal regions and increased power in the occipital region were observed across frequency bands.
  • Enhanced gamma-band functional connectivity in frontal regions indicated audio-visual integration.

Conclusions:

  • Subjective cross-modal speech perception is underpinned by segregated information processing at individual brain locations.
  • Integration of information across large-scale brain networks, particularly involving frontal regions, is crucial for multisensory speech perception.
  • This study provides insights into the neural basis of audio-visual speech perception and integration.