New, Non-Invasive Technology Can Accurately Diagnose Parkinson’s

Doctors have to hand-draw maps of the brain to detect Parkinson’s. However, sometimes this method can lead to misdiagnosis.

This may change after a research team led by Dr. David Vaillancourt, UF department chairman of applied physiology and kinesiology, engineered a non-invasive technology that automatically diagnoses Parkinson’s disease.

The research produced an automatic imaging system that uses MRI methods to diagnose Parkinson’s disease and other neurodegenerative disorders.

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