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Dryad

Animal data associated with: Pattern dynamics and stochasticity of the brain rhythms

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Mar 21, 2023 version files 43.24 MB

Abstract

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. The data published here are used to 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, patterns of θ, 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, are derived from the data. The results offer a complementary–mesoscale–perspective on brain wave structure, dynamics, and functionality.