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Browse 1,818 clinical trials for parkinson's disease. Find studies that match your criteria and connect with research centers.
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NCT05070013
Parkinson's Disease (PD) is the second most common of the age-related neurodegenerative disorders, affecting over 1,900 adults per 100,000 over the age of 80 in the US. The prevalence of sleep dysfunction in PD is estimated at nearly 80-90% which includes sleep fragmentation, insomnia, rapid eye movement (REM or dream sleep) Sleep Behavior Disorder (RBD), Restless legs syndrome (RLS), periodic limb movement, excessive daytime sleepiness, and sleep apnea. Sleep is vital to homeostasis, cognition, and nervous system repair. The dysfunctional sleep accompanying PD adversely affects both motor and non-motor symptoms, resulting in diminished quality of life for both patients and caregivers, including impairments in mood and behavior, and increased morbidity and mortality. Knowledge of sleep phenomenology and pathology in humans has largely been informed by analysis of non-invasive scalp electroencephalogram (EEG), and despite the profound importance of sleep, the underlying neural circuits important for controlling sleep and wakefulness in humans remain poorly understood. This study assesses whether adaptive stimulation of the Subthalamic Nucleus (STN) drives changes in sleep episode maintenance and improves sleep quality. Participants are adults with PD who experience inadequate motor symptom relief, and who have been offered implantation of a deep brain stimulator system targeting STN for the treatment of motor symptoms (standard-of-care). Prior to surgery, participant sleep patterns will be assessed with questionnaires and monitored with a non-invasive watch-like device. Approximately four months after implantation surgery, participants will each receive 2 1-week deep brain stimulation (DBS) treatments and 1 1-week control session with no DBS in random order. Sleep patterns will again be monitored during the treatments and compared to the patterns before surgery.
NCT06602544
Freezing-of-gait (FoG) in Parkinson Disease (PD) is one of the most vivid and disturbing gait phenomena in neurology. Often described by patients as a feeling of "feet getting glued to the floor," FoG is formally defined as a "brief, episodic absence or marked reduction of forward progression of the feet despite the intention to walk." This debilitating gait phenomena is very common in PD, occurring in up to 80% of individuals with severe PD. When FoG arrests walking, serious consequences can occur such as loss of balance, falls, injurious events, consequent fear of falling, and increased hospitalization. Wearable robots are capable of augmenting spatiotemporal gait mechanics and are emerging as viable solutions for locomotor assistance in various neurological populations. For the proposed study, our goal is to understand how low force mechanical assistance from soft robotic apparel can best mitigate gait decline preceding a freezing episode and subsequent onset of FoG by improving spatial (e.g. stride length) and temporal features (e.g. stride time variability) of walking. We hypothesize that the ongoing gait-preserving effects can essentially minimize the accumulation of motor errors that lead to FoG. Importantly, the autonomous assistance provided by the wearable robot circumvents the need for cognitive or attentional resources, thereby minimizing risks for overloading the cognitive systems -- a known trigger for FoG, thus enhancing the repeatability and robustness of FoG-preventing effects.