Classifying Alzheimer Disease Using Resting State Coefficient of Variance BOLD Signals

There is a strong relationship between neurodegenerative disease and altering brain clearance. Brain clearance was shown to be driven by three physiological brain signals. In this paper, we show the importance of abnormality detection of physiological pulsations which is effective in detecting neurodegenerative diseases. We use the coefficient of variance of rs-fMRI BOLD signal (CVBOLD) as the physiological signal distribution that reflects brain activity. In this work, we found relations between the CVBOLD values in specific brain regions of Alzheimer’s subjects. We provided a comparison of different models that were used to handle this challenge and the brain regions that are most affected.