A Machine Learning Approach to the Differentiation of Functional Magnetic Resonance Imaging Data of Chronic Fatigue Syndrome (CFS) From a Sedentary Control.
Provenzano, Destie, Washington, Stuart D, Baraniuk, James N·Frontiers in computational neuroscience·2020
Researchers used a computer algorithm to analyze brain scans from ME/CFS patients and healthy controls while they performed a memory task, both before and after exercise. The algorithm was able to correctly identify which scans came from ME/CFS patients 80% of the time on the first day and 76% on the second day, suggesting that ME/CFS may create a distinctive pattern of brain activity that could eventually be used as an objective diagnostic test.