Two new studies are pointing the way toward round-the-clock personalized care for people with Parkinson's disease through an implanted device that can treat movement problems during the day and insomnia at night.
Two new studies are pointing the way toward round-the-clock personalized care for people with Parkinson's disease through an implanted device that can treat movement problems during the day and insomnia at night.
When it spots them, it intervenes with precisely calibrated pulses of electricity. The therapy complements the medications that Parkinson's patients take to manage their symptoms, giving less stimulation when the drug is active, to ward off excess movements, and more stimulation as the drug wears off, to prevent stiffness.
Starr has been laying the groundwork for this technology for more than a decade. In 2013, he developed a way to detect and then record the abnormal brain rhythms associated with Parkinson's. In 2021, his team identified specific patterns in those brain rhythms that correspond to motor symptoms. Some patients then opt to have a standard cDBS device implanted, which provides a constant level of electrical stimulation. Constant DBS may reduce the amount of medication needed and partially reduce swings in symptoms. But the device also can over- or undercompensate, causing symptoms to veer from one extreme to the other during the day.
Building on findings from adaptive DBS studies that he had run at Oxford University a decade earlier, Little worked with Starr and the team to develop an approach for detecting these highly variable signals across different medication and stimulation levels. To help fill that gap, Little conducted a separate trial that included four patients with Parkinson's and one patient with dystonia, a related movement disorder. In their paper published in, first author Fahim Anjum, PhD, a postdoctoral scholar in the Department of Neurology at UCSF, demonstrated that the device could recognize brain activity associated with various states of sleep.
Sleep Disorder Research Brain Tumor Brain-Computer Interfaces Disorders And Syndromes Parkinson's Medical Technology Sports Science Biometric
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