↓ Skip to main content

Dynamical criticality during induction of anesthesia in human ECoG recordings

Overview of attention for article published in Frontiers in Neural Circuits, March 2014
Altmetric Badge

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
86 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Dynamical criticality during induction of anesthesia in human ECoG recordings
Published in
Frontiers in Neural Circuits, March 2014
DOI 10.3389/fncir.2014.00020
Pubmed ID
Authors

Leandro M. Alonso, Alex Proekt, Theodore H. Schwartz, Kane O. Pryor, Guillermo A. Cecchi, Marcelo O. Magnasco

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.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 2%
Germany 1 1%
Argentina 1 1%
Japan 1 1%
United States 1 1%
Unknown 80 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 22%
Student > Bachelor 12 14%
Student > Ph. D. Student 11 13%
Student > Master 9 10%
Professor > Associate Professor 6 7%
Other 15 17%
Unknown 14 16%
Readers by discipline Count As %
Neuroscience 15 17%
Agricultural and Biological Sciences 12 14%
Physics and Astronomy 10 12%
Medicine and Dentistry 9 10%
Psychology 8 9%
Other 16 19%
Unknown 16 19%