Department of Anesthesiology

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Dynamical criticality during induction of anesthesia in human ECoG recordings.

TitleDynamical criticality during induction of anesthesia in human ECoG recordings.
Publication TypeJournal Article
Year of Publication2014
AuthorsAlonso LM, Proekt A, Schwartz TH, Pryor KO, Cecchi GA, Magnasco MO
JournalFront Neural Circuits
Volume8
Pagination20
Date Published2014
ISSN1662-5110
KeywordsAnesthetics, Intravenous, Cerebral Cortex, Electroencephalography, Humans, Neurons, Propofol
Abstract

In this work we analyze electro-corticography (ECoG) recordings in human subjects during induction of anesthesia with propofol. We hypothesize that the decrease in responsiveness that defines the anesthetized state is concomitant with the stabilization of neuronal dynamics. To test this hypothesis, we performed a moving vector autoregressive analysis and quantified stability of neuronal dynamics using eigenmode decomposition of the autoregressive matrices, independently fitted to short sliding temporal windows. Consistent with the hypothesis we show that while the subject is awake, many modes of neuronal activity oscillations are found at the edge of instability. As the subject becomes anesthetized, we observe statistically significant increase in the stability of neuronal dynamics, most prominently observed for high frequency oscillations. Stabilization was not observed in phase randomized surrogates constructed to preserve the spectral signatures of each channel of neuronal activity. Thus, stability analysis offers a novel way of quantifying changes in neuronal activity that characterize loss of consciousness induced by general anesthetics.

DOI10.3389/fncir.2014.00020
Alternate JournalFront Neural Circuits
PubMed ID24723852
PubMed Central IDPMC3971201
Grant List1K08GM106144-01 / GM / NIGMS NIH HHS / United States
K08 GM106144 / GM / NIGMS NIH HHS / United States