Heterogeneous Responsiveness to Combined Motor–Cognitive Exercise in Parkinson’s Disease: A Latent Class Analysis
Objective: To evaluate the effects of a combined motor–cognitive exercise intervention in individuals with Parkinson’s disease (PD) and to explore latent response subgroups to identify…Automated Differentiation for Early Parkinsonism Using Clinical Structural MRI: A Multicenter Study
Objective: To develop and validate a T1-weighted structural MRI–based machine learning model for differentiating Parkinsonism at early-to-mid stage and generalize the model to routine anisotropic…Digital acoustic assessment of alleviating maneuvers in laryngeal dystonia: a 2-patient case series
Objective: To assess whether digital acoustic analysis can objectively capture posture-dependent symptom modulation in laryngeal dystonia. Background: Objective tools for quantifying alleviating maneuvers in laryngeal…Olfactory Dysfunction Across Neurodegenerative Disorders: A Prospective Cross-Sectional Comparison of Parkinson’s Disease, Alzheimer’s Disease and Idiopathic REM Sleep Behavior Disorder
Objective: To investigate whether olfactory function as measured by a standardized odor identification (Sniffin’ Stick) test, differs between patients with Parkinson's disease (PD), Alzheimer's disease…Specific thalamic subnuclei volumes associate with autonomic dysfunction in Parkinson’s disease
Objective: To elucidate the association between autonomic symptoms and Parkinson’s disease (PD) subgroups stratified by k-means clustering of thalamic subnuclear volumes measured by MRI. Background:…Large-Scale Shotgun Mass Spectrometry in Parkinson’s Disease Plasma Identifies Novel Biomarker Candidates
Objective: To identify novel Parkinson’s disease (PD) blood biomarkers using unbiased shotgun mass spectrometry. Background: PD is a common neurodegenerative disorder diagnosed based on its…Automated dystonic posture detection of the hand in children with GNAO1-related movement disorders from home-based videos using computer vision
Objective: To train a deep learning model to automatically detect dystonic hand posture from images extracted from home-video recordings in GNAO1-related dystonia. Background: Movement disorders…Clinical instability and fluctuations as an early marker of accelerated progression
Objective: To determine whether early clinical instability, quantified through combined motor and non-motor fluctuations, predicts a more severe longitudinal disease course in Parkinson’s disease. Background:…Stereotactic Neurosurgery for Holmes Tremor: a Retrospective Cohort Study
Objective: To evaluate the efficacy of stereotactic neurosurgery for Holmes tremor in a consecutive cohort and identify predictors of treatment outcome. Background: Holmes tremor is…Precision Gene Therapy Results in Clinical Benefit and Developmental Gains in Aromatic L-Amino Acid Decarboxylase Deficiency (AADCd): The UK Experience
Objective: To describe the UK cohort of children who have received regional brain-targeted gene therapy (GT) for AADCd. Background: Classical AADCd is an ultra-rare genetic…
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