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Non-invasive, automated MRI for Parkinson’s diagnosis

A research team led by UF’s David Vaillancourt, Ph.D., used a non-invasive MRI method with 1,002 patients to develop an automated system to accurately diagnose Parkinson’s disease and related but different neurodegenerative disorders.

Review of motor cortex effects of Parkinson disease published

Dr. David Vaillancourt from the University of Florida and Dr. Roxana Burciu from University of Delaware published a review of what different brain imaging techniques have been showing when looking at the primary motor cortex in Parkinson disease patients. The effects of Parkinson disease on the substantia nigra and related…

FGATIR – New imaging method for visualizing DBS targets developed at UF

We have recently developed and employed a Fast Gray Matter Acquisition T1 Inversion Recovery (FGATIR – pronounced F-gator) 3T MRI sequence to more reliably visualize the structures targeted in deep brain stimulation. You can see comparative screenshots of the FGATIR vs T1 and T2 FLAIR on the FGATIR page.