So you know in neurology we use drugs that we’ve been using for decades and many years and in many cases it’s very hard to tell whether patients will respond to these medications or not. And the use of levodopa in Parkinson’s disease is a very good example of that. You know some patients respond very well and don’t really develop side effects for many years and in some patients may not derive as much benefit from long-term levodopa therapy or can develop side effects that can be quite bothersome and interfere with their quality of life...
So you know in neurology we use drugs that we’ve been using for decades and many years and in many cases it’s very hard to tell whether patients will respond to these medications or not. And the use of levodopa in Parkinson’s disease is a very good example of that. You know some patients respond very well and don’t really develop side effects for many years and in some patients may not derive as much benefit from long-term levodopa therapy or can develop side effects that can be quite bothersome and interfere with their quality of life. And I think understanding the baseline resting motor connectivity and to what extent these motor networks are actually impacted by the alpha-synucleinopathy or the pathology that’s causing changes within these motor networks can maybe give us a window of insight into whether or not these patients might respond to these therapies and that’s exactly what we did. We did a study looking at multiple areas in the literature that we compiled in order to give us a window of insight into how resting state connectivity may give insight into biomarkers of levodopa response.
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