How is your sense of smell? Do you find yourself frequently dozing off during the day or thrashing about during dreams? Often, early stage Parkinson’s disease does not present with typical motor disturbance symptoms, making diagnosis problematic. Now, neuroscientists at York University have found five different models that use these types of non-motor clinical as well as biological variables to more accurately predict early-stage Parkinson’s disease.
Their five-model analysis is one of the first utilizing only non-motor clinical and biologic variables. Some models performed better than others but all distinguished early stage (preclinical) Parkinson’s disease from healthy, age-matched controls, with better than 80 per cent accuracy. The models may assist in more timely administration of future treatments as they become available, according to the study published in Frontiers in Neurology today.