1. Tracking auditory mismatch negativity responses during full conscious state and coma.
- Author
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Herrera-Diaz A, Boshra R, Tavakoli P, Lin CA, Pajankar N, Bagheri E, Kolesar R, Fox-Robichaud A, Hamielec C, Reilly JP, and Connolly JF
- Abstract
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., Competing Interests: JC was employed (unsalaried) by VoxNeuro, Inc. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Herrera-Diaz, Boshra, Tavakoli, Lin, Pajankar, Bagheri, Kolesar, Fox-Robichaud, Hamielec, Reilly and Connolly.)
- Published
- 2023
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