Results 51 to 60 of about 33,332 (299)

Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study

open access: yesThe Lancet: Digital Health, 2019
Summary: Background: Development of valid, non-invasive biomarkers for parkinsonian syndromes is crucially needed. We aimed to assess whether non-invasive diffusion-weighted MRI can distinguish between parkinsonian syndromes using an automated imaging ...
Derek B Archer, PhD   +30 more
doaj   +1 more source

Parkinson's disease biomarkers: perspective from the NINDS Parkinson's Disease Biomarkers Program [PDF]

open access: yes, 2017
Biomarkers for Parkinson's disease (PD) diagnosis, prognostication and clinical trial cohort selection are an urgent need. While many promising markers have been discovered through the National Institute of Neurological Disorders and Stroke Parkinson's ...
Albin, Roger   +25 more
core   +1 more source

Purkinje Cell Loss in Essential Tremor: Collective Data From 215 Brains Over a 21‐Year Period

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Essential tremor is a highly prevalent movement disorder. Pathological changes observed in essential tremor cerebella center around Purkinje cells and neighboring neuronal populations. Postmortem studies have variably, but not always, shown reduced Purkinje cell counts in essential tremor compared to controls.
Chloë A. Kerridge   +4 more
wiley   +1 more source

Understanding fatigue in progressive supranuclear palsy

open access: yesScientific Reports, 2021
Fatigue is a common and disabling non-motor symptom (NMS) of Parkinson’s disease (PD); however, it has been poorly understood in patients with progressive supranuclear palsy (PSP).
Jong Hyeon Ahn   +4 more
doaj   +1 more source

Identifying Common Disease Trajectories of Progressive Supranuclear Palsy with Electronic Health Records. [PDF]

open access: yesMov Disord Clin Pract
Abstract Background Progressive supranuclear palsy (PSP) is a rare neurodegenerative disorder characterized by parkinsonism and impairments in balance, language, and cognition. As an atypical parkinsonism, PSP progresses rapidly, lacks effective treatments, and poses significant caregiving burdens. While prior studies have identified risk factors, they
Fu M   +3 more
europepmc   +2 more sources

Concomitant progressive supranuclear palsy and chronic traumatic encephalopathy in a boxer. [PDF]

open access: yes, 2014
We report the case of a 75-year-old ex-professional boxer who developed diplopia and eye movement abnormalities in his 60's followed by memory impairment, low mood and recurrent falls.
Hardy, J   +8 more
core   +2 more sources

Quantitative Assessment of Upper Limb Ataxia Using a Virtual Reality‐Based Evaluation System

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebellar ataxia impairs coordination and balance, reducing quality of life. Conventional clinical scales, including the Scale for the Assessment and Rating of Ataxia (SARA) and the International Cooperative Ataxia Rating Scale (ICARS), are widely used to assess ataxia but are limited by subjectivity and inter‐rater variability ...
Masayuki Sato   +5 more
wiley   +1 more source

Clinical features of supranuclear palsy

open access: yesБюллетень сибирской медицины, 2009
Progressive supranuclear palsy related to neurodegenerative diseases of the brain. In the pathological process involved, and stem structure. The disease manifests a combination of progressive akinetic-rigid syndrome and early development of postural ...
T. A. Valikova   +4 more
doaj   +1 more source

Variation at the TRIM11 Locus Modifies Progressive Supranuclear Palsy Phenotype [PDF]

open access: yes, 2018
Objective The basis for clinical variation related to underlying progressive supranuclear palsy (PSP) pathology is unknown. We performed a genome‐wide association study (GWAS) to identify genetic determinants of PSP phenotype.
Armstrong   +39 more
core   +3 more sources

A Mathematical Model of Cellular Aggregation Predicts Patterns of Tau Accumulation in Neurodegenerative Disease

open access: yesAdvanced Science, EarlyView.
A minimal computational model of cellular aggregate formation in neurodegenerative disease, encompassing two competing processes: cell‐autonomous and cell‐to‐cell triggers of aggregation, is presented. Despite its simplicity, the model can reproduce the aggregate patterns observed in post‐mortem brain images from the primary tauopathy Progressive ...
Shih‐Huan Huang   +8 more
wiley   +1 more source

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