Increased determinism in brain electrical activity occurs in association with multiple sclerosis

Area of Science:

• Neuroscience
• Biomedical Engineering

Background:

• Altered brain electrical activity complexity is linked to neurological disorders.
• The relationship between brain activity complexity and multiple sclerosis (MS) requires further investigation.

Purpose of the Study:

• To investigate if decreased complexity of brain electrical activity is associated with multiple sclerosis (MS).
• To evaluate the potential of EEG complexity analysis as a diagnostic tool for MS.

Main Methods:

• Recurrence plots and nonlinear variables (percent recurrence - %R, percent determinism - %D) were calculated from EEG epochs of 10 MS patients in remission and 10 healthy controls.
• Spectral analysis was performed as a linear control measure.
• Averaged %R and %D values were compared between groups.

Main Results:

• Subjects with MS exhibited significantly higher %R (6.6±1.3%) compared to controls (5.1±1.3%), indicating reduced brain activity complexity (P = 0.017).
• No significant differences were found between groups for %D or spectral analysis.
• The study successfully identified differences in brain activity complexity between MS patients and healthy individuals.

Conclusions:

• The findings suggest that reduced complexity in EEG signals is characteristic of MS.
• %R analysis of EEG shows promise as a potential diagnostic biomarker for MS.
• Further research could validate EEG complexity analysis for clinical MS diagnosis.