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Neural evidence for predictive coding in auditory cortex during speech production.

Kayoko Okada1,2, William Matchin3, Gregory Hickok4

  • 1Department of Psychology, Loyola Marymount University, Los Angeles, CA, USA.

Psychonomic Bulletin & Review
|April 12, 2017
PubMed
Summary
This summary is machine-generated.

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Speech production involves predictive coding, with silent articulation showing greater auditory cortex activation than imagined speech. This suggests enhanced predictive monitoring during overt speech production.

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psycholinguistics

Background:

  • Speech production models propose hierarchical organization with forward predictions for auditory feedback.
  • Internally generated speech (imagined speech) differs in error patterns from overt speech.
  • Articulated speech may involve predictive coding at more hierarchical levels than imagined speech.

Purpose of the Study:

  • To investigate neural evidence of predictive coding in speech production using functional magnetic resonance imaging (fMRI).
  • To compare brain activation patterns between silent articulation and imagined speech.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to scan 24 participants.
  • Participants silently articulated or imagined sequences of visually presented words synchronized with a metronome.
Keywords:
Cognitive neuroscienceSpeech production

Related Experiment Videos

Main Results:

  • Both silent articulation and imagined speech activated a left-hemisphere speech production network.
  • Silent articulation showed greater activation than imagined speech in the inferior frontal cortex, premotor cortex, and insula, indicating higher articulatory load.
  • Both conditions, despite being silent, exhibited greater activation in the auditory cortex (dorsal superior temporal gyrus) during silent articulation compared to imagined speech.

Conclusions:

  • The increased auditory cortex activation during silent articulation suggests forward predictions from additional perceptual/motor hierarchy levels.
  • These findings support the role of predictive coding in monitoring intended speech output during articulation.