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Journal Article A Bird’s-eye View of Brain Activity in Socially Interacting Mice through Mobile Edge Computing (MEC)
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Authors
Jisoo Kim, Chaewoo Kim, Hio-Been Han, Cheol Jun Cho, Wooseob Yeom, Sung Q. Lee, Jee Hyun Choi
Issue Date
2020-12
Citation
Science Advances, v.6, no.49, pp.1-11
ISSN
2375-2548
Publisher
American Association for the Advancement of Science
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1126/sciadv.abb9841
Abstract
Social cognition requires neural processing, yet a unifying method linking particular brain activities and social behaviors is lacking. Here, we embedded mobile edge computing (MEC) and light emitting diodes (LEDs) on a neurotelemetry headstage, such that a particular neural event of interest is processed by the MEC and subsequently an LED is illuminated, allowing simultaneous temporospatial visualization of that neural event in multiple, socially interacting mice. As a proof of concept, we configured our system to illuminate an LED in response to gamma oscillations in the basolateral amygdala (BLA gamma) in freely moving mice. We identified (i) BLA gamma responses to a spider robot, (ii) affect-related BLA gamma during conflict, and (iii) formation of defensive aggregation under a threat by the robot, and reduction of BLA gamma responses in the inner-located mice. Our system can provide an intuitive framework for examining brain-behavior connections in various ecological situations and population structures.
KSP Keywords
Freely moving, Gamma oscillations, Mobile Edge Computing(MEC), Neural processing, Social Cognition, Social behavior, Temporospatial visualization, brain activity, light-emitting diode(LED), proof-of-concept, spider robot
This work is distributed under the term of Creative Commons License (CCL)
(CC BY NC)
CC BY NC