Machine learning supervised classification study for Parkinson`s disease progression through graph-based feature selection method
Objective: The model helps neuro physicians/ neurologists to improve the PD symptoms, or therapeutic-treatment planning-procedures. Background: Artificial intelligence-based machine learning (AI-ML) supervised classification systems have…Beyond the subthalamic nucleus: tractography patterns of Magnetic Resonance-guided Focused Ultrasound subthalamotomy
Objective: To identify subthalamic clusters that predict maximum improvement in bradykinesia, rigidity and tremor. To map-out the cortical fingerprint, which predict maximum efficacy. Background: Subthalamotomy…Striatal Blood brain barrier opening in Parkinson´s disease
Objective: To test safety and feasibility of repeated low-intensity focused ultrasound (FUS) blood brain barrier opening (BBB) in the striatum of Parkinson’s disease (PD) patients.…Identification and clinical characterization of GBA variants in the Luxembourg Parkinson’s Study
Objective: Assess the entire set of variants in the glucocerebrosidase (GBA) gene by long-read sequencing in the Luxembourg Parkinson’s study (LuxPARK) and characterize genotype-phenotype correlations…Corticobasal syndrome and Parkinson’s disease at the beginning: usefulness of different asymmetrical patterns for early diagnosis.
Objective: To evaluate R2 Blink Reflex Recovery Cycle (R2BRRC) and cortical thickness in drug-naïve PD patients and in CBS patients for characterizing pathophysiological mechanisms underlying…Association of a new pathogenic variant of LRRK2 with modifying lysosomal genes in a family with Parkinson’s disease
Objective: To characterize a Parkinson’s disease (PD) family with high recurrence of the disease. Background: Parkinson’s disease (PD) is a complex neurodegenerative disorder in which…Genome-wide association study of Aβ, t-tau and p-tau in CSF in Parkinson’s disease
Objective: To investigate genetic contributions to the Alzheimer’s disease (AD) related cerebrospinal fluid (CSF) biomarkers in the patients with Parkinson’s disease (PD). Background: Aβ, t-tau…Clinically interpretable severity estimation of facial expression impairment in Parkinson’s disease
Objective: To develop a scalable and interpretable computer-vision based algorithm to measure the severity of facial impairment in Parkinson’s disease. Background: Neurological disorders frequently manifest…Design of a prodromal screening study for subtypes in Parkinson’s Disease
Objective: To follow-up prodromal Parkinson’s Disease (PD) subtypes in a longitudinal cohort study, validating new biomarkers and ethical guidelines for early detection of PD. Background:…High preoperative gait variability is a prognostic predictor of gait and balance in Parkinson disease patients with deep brain stimulation
Objective: To elucidate the objective biomarker for long-term outcome of STN DBS in PD patients, we investigated the value of pre-operative quantitative gait parameters for…
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