New paper from the Lab published in Frontiers in Human Neuroscience

Archived from previous site:

We discovered new biometrics of Parkinson’s disease that can subtype its severity based on sensory-motor features in relation to the motor output variability of a subject without proprioception. The work was in collaboration with Howard Poizner of UCSD and Jonathan Cole of Poole Hospital in the UK

Originally posted October 23, 2014