Neurophysiology of mismatch negativity generation: a biophysical modeling study

Carolina Fernandez Pujol1,2, Joshua Bruce1, Ryan V Thorpe2

  • 1Department of Biomedical Engineering, University of Miami, Coral Gables, FL, USA.

Insights

Mismatch negativity (MMN) brain responses are not fully understood, hindering biomarker development. Biophysical modeling revealed that deviants require prolonged thalamic input, generating MMN via specific pyramidal neuron currents.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Auditory Perception

Background:

  • Mismatch negativity (MMN) is a brain response to stimulus changes, crucial for auditory processing.
  • MMN is affected by neurological and psychiatric conditions, yet its neurophysiology remains unclear.
  • Understanding MMN neurophysiology is vital for its use as a clinical biomarker.

Purpose of the Study:

  • To investigate the neurophysiological basis of MMN using biophysical modeling.
  • To analyze MMN generation in response to auditory frequency deviants.

Main Methods:

  • Biophysical modeling of auditory oddball paradigm with frequency deviants.
  • Simulating feedforward and feedback input sequences for standard and deviant tones.

Main Results:

  • Standard tone responses were modeled by feedforward-then-feedback input.
  • Deviant tone responses required additional prolonged input to supragranular layers, likely from the non-lemniscal thalamus.
  • This input generated MMN through downward-currents in supragranular and deep pyramidal neurons.

Conclusions:

  • Current circuit-level MMN models derived from animal studies may be incomplete.
  • The non-lemniscal thalamus plays a critical role in MMN generation.
  • Further research is needed to fully elucidate the neurophysiological underpinnings of MMN.

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