Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen-Shannon Distance

Area of Science:

• Neuroscience
• Complex Systems Analysis

Background:

• Characterizing human brain dynamics is challenging.
• Differentiating simple behavioral states, like resting with eyes open versus closed, remains intricate.

Purpose of the Study:

• To address the challenge of distinguishing between resting brain states.
• To improve the discrimination of electroencephalogram (EEG) records during different resting conditions.

Main Methods:

• Multiscale analyses were performed on electroencephalogram (EEG) records.
• The permutation Jensen-Shannon distance was employed as a key analytical tool.
• The influence of linear and nonlinear temporal correlations on state discrimination was investigated.

Main Results:

• The study successfully unveiled the impact of temporal correlations on brain state discrimination.
• Significant findings were obtained regarding the distinction between resting states.

Conclusions:

• The employed multiscale analysis approach significantly enhances the distinction between resting brain states.
• Understanding temporal correlations is crucial for accurate brain state characterization.