Brain-scale Theta Band Functional Connectivity As A Signature of Slow Breathing and Breath-hold Phases
arxiv(2023)
摘要
The study reported herein attempts to understand the neural mechanisms
engaged in the conscious control of breathing and breath-hold. The variations
in the electroencephalogram (EEG) based functional connectivity (FC) of the
human brain during consciously controlled breathing at 2 cycles per minute
(cpm), and breath-hold have been investigated and reported here. An
experimental protocol involving controlled breathing and breath-hold sessions,
synchronized to a visual metronome, was designed and administered to 20 healthy
subjects (9 females and 11 males). EEG data were collected during these
sessions using the 61-channel eego mylab system from ANT Neuro. Further, FC was
estimated for all possible pairs of EEG time series data, for 7 EEG bands.
Feature selection using a genetic algorithm (GA) was performed to identify a
subset of functional connections that would best distinguish the inhale,
exhale, inhale-hold, and exhale-hold phases using a random committee
classifier. The best accuracy of 93.36 % was obtained when 1161 theta-band
functional connections were fed as input to the classifier, highlighting the
efficacy of the theta-band functional connectome in distinguishing these phases
of the respiratory cycle. This functional network was further characterized
using graph measures, and observations illustrated a statistically significant
difference in the efficiency of information exchange through the network during
different respiratory phases.
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