Deep brain stimulation of globus pallidus internus for monogenic dystonia
Objective: We aimed to evaluate the efficacy of GPi-DBS in patients with monogenic autosomal dominant dystonia associated with mutations in TOR1A(DYT1), THAP(DYT6),and KMT2B (DYT28) genes.…Perceptions Regarding Asleep and Awake DBS Among Neurologists and Neurosurgeons
Objective: To compare trends and perceptions regarding Asleep and Awake deep brain stimulation (DBS) between neurologists (NLGs) and neurosurgeons (NSXs) in the USA and abroad.…The impact of Deep Brain Stimulation for Parkinson’s disease on Quality of Life
Objective: To evaluate the long-term outcomes in Quality of Life (QoL) for patients with Parkinson’s disease (PwP) enrolled in a global, real-world device registry for…Using LEAD-DBS to Identify the Optimal DBS Electrode in the Abbott Infinity System
Objective: To determine whether the optimal electrode contact selected in Abbott deep brain stimulation (DBS) leads is the same using conventional versus image-guided programming (LEAD-DBS…Impact of DBS STN on motor symptoms, postural instability, QoL in PD patients from the Belarusian population
Objective: To evaluate the efficiency of DBS STN in PD patients in Republican center of neurology and neurosurgery Background: Deep brain stimulation (DBS) of the…Can Technology Improve Service Delivery and Patient Outcomes in a Parkinson’s Speech and Language Therapy Clinic?
Objective: - Determine if Telea, an online care platform, can aid in efficiently addressing caseload needs and quantify clinical time saved through…Initiation of AT-HOME PD2, a Remote Observational Study of Parkinson’s Disease Clinical Trial Participants
Objective: To describe the design and initiation of a remote, long-term observational Parkinson’s disease (PD) study - Tele-Health Outcomes in Multiyear Extensions of Parkinson’s Disease…Reliability of Digital Measures in Parkinson’s Disease and Their Implications for Sample Size Calculations
Objective: Assess the reliability and measurement error of measures derived from digital health technologies (DHTs) in Parkinson’s Disease (PD) patients and estimate sample size for…Wearable sensors and AI in Parkinson’s disease – How continuous symptom and treatment response monitoring can enable better clinical decision making – Interim results from an observational study
Objective: To investigate how continuous objective information on motor symptoms and treatment response combined with subjective patient reported insights can be used to optimize Parkinson’s…Artificial Intelligence Opportunities for Diagnostics of Dementia via Speech (Brainphone Project)
Objective: The aim of the clinical study was the assessment of efficiency of the screening diagnositics method for dementia by speech using AI-based technology (BRAINPHONE…
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