Frontiers in Neurology (Mar 2023)

Tracking auditory mismatch negativity responses during full conscious state and coma

  • Adianes Herrera-Diaz,
  • Adianes Herrera-Diaz,
  • Rober Boshra,
  • Paniz Tavakoli,
  • Chia-Yu A. Lin,
  • Netri Pajankar,
  • Netri Pajankar,
  • Elham Bagheri,
  • Elham Bagheri,
  • Richard Kolesar,
  • Alison Fox-Robichaud,
  • Alison Fox-Robichaud,
  • Cindy Hamielec,
  • Cindy Hamielec,
  • James P. Reilly,
  • James P. Reilly,
  • John F. Connolly,
  • John F. Connolly,
  • John F. Connolly,
  • John F. Connolly,
  • John F. Connolly,
  • John F. Connolly

DOI
https://doi.org/10.3389/fneur.2023.1111691
Journal volume & issue
Vol. 14

Abstract

Read online

The mismatch negativity (MMN) is considered the electrophysiological change-detection response of the brain, and therefore a valuable clinical tool for monitoring functional changes associated with return to consciousness after severe brain injury. Using an auditory multi-deviant oddball paradigm, we tracked auditory MMN responses in seventeen healthy controls over a 12-h period, and in three comatose patients assessed over 24 h at two time points. We investigated whether the MMN responses show fluctuations in detectability over time in full conscious awareness, or whether such fluctuations are rather a feature of coma. Three methods of analysis were utilized to determine whether the MMN and subsequent event-related potential (ERP) components could be identified: traditional visual analysis, permutation t-test, and Bayesian analysis. The results showed that the MMN responses elicited to the duration deviant-stimuli are elicited and reliably detected over the course of several hours in healthy controls, at both group and single-subject levels. Preliminary findings in three comatose patients provide further evidence that the MMN is often present in coma, varying within a single patient from easily detectable to undetectable at different times. This highlights the fact that regular and repeated assessments are extremely important when using MMN as a neurophysiological predictor of coma emergence.

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