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Abstract #0035

Multiple Time Scale Complexity Analysis of Resting State Fluctuations

Robert Smith1

1Neurology, 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.