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Title: Pattern dynamics and stochasticity of the brain rhythms
Our current understanding of brain rhythms is based on quantifying their instantaneous or time-averaged characteristics. What remains unexplored is the actual structure of the waves—their shapes and patterns over finite timescales. Here, we study brain wave patterning in different physiological contexts using two independent approaches: The first is based on quantifying stochasticity relative to the underlying mean behavior, and the second assesses “orderliness” of the waves’ features. The corresponding measures capture the waves’ characteristics and abnormal behaviors, such as atypical periodicity or excessive clustering, and demonstrate coupling between the patterns’ dynamics and the animal’s location, speed, and acceleration. Specifically, we studied patterns ofθ,γ, and ripple waves recorded in mice hippocampi and observed speed-modulated changes of the wave’s cadence, an antiphase relationship between orderliness and acceleration, as well as spatial selectiveness of patterns. Taken together, our results offer a complementary—mesoscale—perspective on brain wave structure, dynamics, and functionality.  more » « less
Award ID(s):
1901338
PAR ID:
10339258
Author(s) / Creator(s):
; ; ;
Editor(s):
Kopell, N
Publisher / Repository:
Proc Natl Acad Sci U S A .
Date Published:
Journal Name:
Proceedings of the National Academy of Sciences
Volume:
120
Issue:
14
ISSN:
0027-8424
Subject(s) / Keyword(s):
patterning, waveforms, hippocampus, learning and memory
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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