Voluntary Respiration Control: Signature Analysis by EEG

Area of Science:

• Neuroscience
• Physiology
• Biomedical Engineering

Background:

• Voluntary respiratory control is crucial for applications like respiratory assistance and rehabilitation.
• Neural signals, particularly electroencephalography (EEG), may hold key signatures of voluntary respiration.
• Understanding the brain-EEG correlation during voluntary breathing is essential for developing related technologies.

Purpose of the Study:

• To investigate the correlation between voluntary respiration and scalp EEG signals.
• To identify potential neural markers associated with conscious control of breathing.

Main Methods:

• Synchronous collection of EEG and respiration signals during voluntary breathing at varying intensities.
• Analysis of low-frequency band (0-2 Hz) spectrum characteristics.
• Computation of EEG-respiration phase lock value (PLV) and EEG sample entropy.

Main Results:

• Significant enhancement of 0-2 Hz EEG power in frontal and right-parietal areas during voluntary breathing.
• Decreased spectral distance between EEG and respiration signals and increased frontal EEG-respiration PLV.
• A trend of decreasing EEG sample entropy observed during voluntary respiration.

Conclusions:

• A strong correlation exists between voluntary respiration and scalp EEG.
• Findings support the development of methods to identify voluntary respiratory consciousness.
• Potential for non-invasive monitoring of breathing intentions via brain-computer interfaces (BCI).