"Deep learning applications to DBS structural and functional connectivity data in movement disorders: Personalization and prediction of outcomes"
Presented by: Gabriel A. de Erausquin, MD, Ph.D., MSc
Zachry Foundation Distinguished Professor of Neurology, The Glenn Biggs Institute of Alzheimer's & Neurodegenerative Disorders, Long School of Medicine, UT Health San Antonio
The presentation will discuss data on the use of deep learning strategies to understand the types of connectivity patterns of active deep brain stimulation leads in patients with either essential tremor or Parkinson's disease. Then, further discuss the value of connectivity patterns to predict clinical outcomes in both disorders.