Pattern dynamics and stochasticity of the brain rhythms
Clarissa Hoffman, Jingheng Cheng, Daoyun Ji, Y. Dabaghian

TL;DR
This study investigates the detailed waveforms and patterns of brain rhythms, revealing their relationship with physiological functions, animal behavior, and spatial factors, providing a mesoscale perspective on brain wave dynamics.
Contribution
It introduces novel measures to analyze wave shape consistency and orderliness, linking wave patterns to behavior and spatial variables, advancing understanding of brain rhythm structure.
Findings
Wave patterns vary with animal speed and location.
Orderliness inversely correlates with irregularity and behavioral acceleration.
Patterns show spatial selectiveness and speed-modulated changes.
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. To address this, we used two independent approaches to link wave forms to their physiological functions: the first is based on quantifying their consistency with the underlying mean behavior, and the second assesses "orderliness" of the waves' features. The corresponding measures capture the wave's characteristic 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 of and waves, and Sharp Wave Ripples, and observed speed-modulated changes of the wave's cadence, an antiphase…
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Taxonomy
TopicsNeural dynamics and brain function · Functional Brain Connectivity Studies
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
