Time Scale Complexity Analysis of Resting State Fluctuations
UCLA, Los Angeles, CA, United States
The present study explores multi-scale entropy (MSE)
analysis to investigate the entropy of resting state fMRI signals across
multiple time scales. MSE analysis distinguishes random noise from complex
signals since the entropy of the former decreases with larger time scales
while the latter signal maintains its entropy due to self-similarity"
across time scales. The results show enhanced contrast in entropy between
gray and white matter, as well as between age groups using MSE analysis.