Recently entropy measures have been explored as indices of the complexity of rs-fMRI time-series which decrease in aging and dementia. Here, we compared multi-scale entropy (MSE) of rs-fMRI with tau PET measures of neurofibrillary tangles in a cohort of 50 aged subjects in the ADRC database, through correlational and machine learning approaches. We show that the complexity of BOLD signals provides an index of the information processing capacity of regional neuron populations, and is associated with tau-related neuronal injury and cognitive decline in the AD processes.
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