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Abstract #4164

Reliability Analysis of the Resting State Sensitively & Specifically Identifies Parkinson Disease

Frank M. Skidmore1,2, Mark Yang3, Lewis Baxter2, Karen von Deneen2, Guojun He2, Keith White4, Kenneth Heilman5, Mark Gold2, Yijun Liu2

1Neurology, North Florida/South Georgia VA Medical Center, Gainesville, FL, United States; 2Department of Psychiatry, University of Florida, Gainesville, FL, United States; 3Department of Statistics, University of Florida, Gainesville, FL, United States; 4Department of Psychology, University of Florida, Gainesville, FL, United States; 5Department of Neurology, University of Florida, Gainesville, FL, United States


We wished to evaluate if resting state fMRI could identify individuals with Parkinson disease (PD_. Analyzing the resting state and using a cross-validation approach, we were able to separate individuals with PD from controls with a 92% sensitivity and 86% specificity. Our work shows proof of concept for use of fMRI as a biomarker technique for identification of PD.

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