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Detection of stimulus deviance within primate primary auditory cortex: intracortical mechanisms of mismatch

D C Javitt1, M Steinschneider, C E Schroeder

  • 1Department of Psychiatry, Albert Einstein College of Medicine, Bronx, NY 10461.

Brain Research
|December 26, 1994
PubMed

Insights

Mismatch negativity (MMN), an auditory event-related potential, shows primary auditory cortex (AI) processes stimulus relationships. This study reveals AI

Area of Science:

  • Neuroscience
  • Auditory Neuroscience
  • Cognitive Neuroscience

Background:

  • Mismatch negativity (MMN) is an auditory event-related potential reflecting preattentive detection of auditory stimulus deviance.
  • MMN is associated with the auditory sensory memory system and typically generated in the supratemporal auditory cortex.
  • Previous studies using electro- and magnetoencephalography have not definitively determined the role of primary auditory cortex (AI) in MMN generation.

Purpose of the Study:

  • To investigate the contribution of primary auditory cortex (AI) to scalp-recorded MMN in monkeys.
  • To determine if AI is activated differently by standard versus deviant auditory stimuli.
  • To localize the generators of MMN-like activity within AI.

Main Methods:

  • Utilized moveable multichannel electrodes inserted into the superior temporal plane of monkeys.
  • Presented auditory oddball paradigms with loud or soft click stimuli as standards and deviants.
  • Analyzed electrophysiological responses within AI and surrounding areas.

Main Results:

  • Demonstrated a significant contribution of AI to MMN, with greater responses to deviant stimuli than standard stimuli.
  • Localized MMN-like activity primarily to supragranular laminae within AI.
  • Observed similar initial thalamocortical excitation for both standard and deviant stimuli, but larger supragranular responses to deviants.

Conclusions:

  • Primary auditory cortex (AI) plays a significant role in generating MMN, particularly in response to deviant auditory stimuli.
  • AI participates in processing the relationships between auditory stimuli, not just individual acoustic properties.
  • These findings indicate AI's involvement in cognitive processing of auditory information, beyond purely sensory functions.

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