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Summary
This summary is machine-generated.

Researchers identified a unique brain activity pattern for self-voice perception. This self-voice network activation decreased with better self-other voice discrimination and bone-conducted stimuli, offering insights into auditory hallucinations.

Keywords:
bone conductionhigh-density EEGinsulalimbic systemself-other voice discrimination

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychiatry

Background:

  • The human
  • self
  • representation involves specialized neural systems across various functions and modalities.
  • Neural underpinnings of self-voice representation are less understood compared to self-face and self-body.
  • Previous self-voice studies lacked bone conduction, altering perceived auditory feedback.

Purpose of the Study:

  • To identify spatiotemporal patterns of self-other voice discrimination (SOVD).
  • To investigate the neural correlates of self-voice perception using both air- and bone-conducted stimuli.
  • To explore the clinical implications for auditory-verbal hallucinations.

Main Methods:

  • Combined psychophysics, voice-morphing technology, and high-density electroencephalography (EEG).
  • Studied 26 healthy participants discriminating between self and other voices.
  • Utilized both air- and bone-conducted auditory stimuli.

Main Results:

  • Identified a self-voice-specific EEG topographic map around 345 ms post-stimulus.
  • This map activated a network including the insula, cingulate cortex, and medial temporal lobe.
  • Network activation decreased with improved SOVD performance and with bone-conducted stimuli, which also improved task performance.

Conclusions:

  • Self-voice perception engages a distinct neural network.
  • Bone conduction enhances self-voice discrimination and reduces the recruitment of this specific network.
  • Findings reveal neural correlates of SOVD impairments, potentially explaining auditory-verbal hallucinations.