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Monday, July 20 • 7:00pm - 8:00pm
P137: General anesthesia reduces complexity and temporal asymmetry of the informational structures derived from neural recordings in Drosophila

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Roberto Munoz, Angus Leung, Aidan Zecevik, Felix Pollock, Dror Cohen, Bruno can Swinderen, Naotsugu Tsuchiya, Kavan Modi

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 anaesthesia (isoflurane). We show that the complexity of even single channel time series data decreases under anaesthesia. 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, anaesthesia also modulates the informational structure between the forward and reverse-time neural signals. Specifically, using three distinct notions of temporal asymmetry we show that anaesthesia 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 time scales and across broad regions of the fly brain, thus heralding the macroscopic state of anaesthesia in a previously unforeseen manner, and (2) that general anaesthesia also modulates the temporal asymmetry of neural signals. Together, our results demonstrate that anaesthetised brains become both less structured and more reversible.

Read about our study in detail here: https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.2.023219
Zoom Link: https://monash.zoom.us/j/8216197893

avatar for Roberto Munoz

Roberto Munoz

School of Physics and Astronomy, Monash University

Monday July 20, 2020 7:00pm - 8:00pm CEST
Slot 15