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General anesthesia reduces complexity and temporal asymmetry of the informational structures derived from neural recordings in Drosophila

Authors :
Roberto N. Muñoz
Angus Leung
Aidan Zecevik
Felix A. Pollock
Dror Cohen
Bruno van Swinderen
Naotsugu Tsuchiya
Kavan Modi
Source :
Physical Review Research, Vol 2, Iss 2, p 023219 (2020)
Publication Year :
2020
Publisher :
American Physical Society, 2020.

Abstract

We apply techniques from the field of computational mechanics to evaluate the statistical complexity of neural recording data from fruit flies. First, we connect statistical complexity to the flies' level of conscious arousal, which is manipulated by general anesthesia (isoflurane). We show that the complexity of even single channel time series data decreases under anesthesia. The observed difference in complexity between the two states of conscious arousal increases as higher orders of temporal correlations are taken into account. We then go on to show that, in addition to reducing complexity, anesthesia also modulates the informational structure between the forward- and reverse-time neural signals. Specifically, using three distinct notions of temporal asymmetry we show that anesthesia reduces temporal asymmetry on information-theoretic and information-geometric grounds. In contrast to prior work, our results show that: (1) Complexity differences can emerge at very short timescales and across broad regions of the fly brain, thus heralding the macroscopic state of anesthesia in a previously unforeseen manner, and (2) that general anesthesia also modulates the temporal asymmetry of neural signals. Together, our results demonstrate that anesthetized brains become both less structured and more reversible.

Subjects

Subjects :
Physics
QC1-999

Details

Language :
English
ISSN :
26431564
Volume :
2
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Physical Review Research
Publication Type :
Academic Journal
Accession number :
edsdoj.3e87a69b60164213abd3b1509353ba3a
Document Type :
article
Full Text :
https://doi.org/10.1103/PhysRevResearch.2.023219