Dynamic brain network modulation by paced breathing and breath-holding: an EEG-based functional connectivity study.

ABSTRACT:

Introduction

Growing evidence shows that voluntary breathing maneuvers modulate cortical oscillations, yet the precise frequency-specific signatures of functional connectivity (FC) remain unclear.

Methods

This study investigated the impact of different respiratory conditions on brain FC using EEG recordings. Three respiratory conditions were collected and analyzed: self-paced breathing (SB), breath-holding (BH), and computer-paced breathing (PB). The power spectral density (PSD), phase-locking value (PLV), and brain network characteristics were analyzed for these different conditions.

Results

The results all showed significant differences. The PSD analysis revealed increased low-frequency (δ and θ) activity during SB and higher high-frequency (α a

SUBMITTER: Chen K 

PROVIDER: S-EPMC12711548 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature