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Machine Learning detects pattern of differences in fMRI data between CFS & Gulf War Illness
Machine Learning detects pattern of differences in Functional Magnetic Resonance Imaging (fMRI) data between Chronic Fatigue Syndrome (CFS) and Gulf War Illness (GWI), by Destie Provenzano, Stuart D Washington, Yuan J Rao, Murray Loew and James Baraniuk in Brain Sci. … Continue reading →
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Tagged Destie Provenzano, Dr James N Baraniuk, fMRI, functional magnetic resonance imaging, Gulf War Illness, GWI, machine learning, Murray Loew, Stuart D Washington, working memory, Yuan J Rao
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Exercise alters brain activation in Gulf War Illness & ME/CFS
Exercise alters brain activation in Gulf War Illness and Myalgic Encephalomyelitis/ Chronic Fatigue Syndrome, by Stuart D Washington, Rakib U Rayhan, Richard Garner, Destie Provenzano, Kristina Zajur, Florencia Martinez Addiego, John W VanMeter, James N Baraniuk in Brain Communications, Vol 2, … Continue reading →
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Tagged brain, cognitive dysfunction, Destie Provenzano, Dr James N Baraniuk, Florencia Martinez Addiego, fMRI, functional magnetic resonance imaging, Gulf War Illness, GWI, John W VanMeter, Kristina Zajur, PEM, Post-exertional malaise, Rakib U Rayhan, Richard Garner, Stuart D Washington
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A machine learning approach to the differentiation of fMRI data of CFS from a sedentary control
A machine learning approach to the differentiation of Functional Magnetic Resonance Imaging data of Chronic Fatigue Syndrome (CFS) from a sedentary control, by Destie Provenzano, Stuart D Washington and James N Baraniuk in Front. Comput. Neurosci., 29 January 2020 [https://doi.org/10.3389/fncom.2020.00002] … Continue reading →
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Tagged Destie Provenzano, diagnostic marker, Dr James N Baraniuk, fMRI, functional magnetic resonance imaging, logistic regression model, machine learning, Stuart D Washington
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