Results 21 to 30 of about 15,528 (133)

18F-AV-1451 positron emission tomography in Alzheimer's disease and progressive supranuclear palsy. [PDF]

open access: yes, 2016
The ability to assess the distribution and extent of tau pathology in Alzheimer's disease and progressive supranuclear palsy in vivo would help to develop biomarkers for these tauopathies and clinical trials of disease-modifying therapies.
Aigbirhio, Franklin I   +17 more
core   +1 more source

Comparison of gait in progressive supranuclear palsy, Parkinson’s disease and healthy older adults

open access: yesBMC Neurology, 2012
Background Progressive supranuclear palsy and Parkinson’s disease have characteristic clinical and neuropathologic profiles, but also share overlapping clinical features. This study aimed to analyze the gait of people with progressive supranuclear palsy (
Egerton Thorlene   +2 more
doaj   +1 more source

Neuropathologic basis of frontotemporal dementia in progressive supranuclear palsy. [PDF]

open access: yes, 2019
BackgroundProgressive supranuclear palsy (PSP) is a neurodegenerative disorder characterized by neuronal loss in the extrapyramidal system with pathologic accumulation of tau in neurons and glia.
Dickson, Dennis W   +8 more
core   +1 more source

Exercise and progressive supranuclear palsy : the need for explicit exercise reporting [PDF]

open access: yes, 2019
Background Progressive Supranuclear Palsy (PSP) is the most frequent form of atypical Parkinsonism. Although there is preliminary evidence for the benefits of gait rehabilitation, balance training and oculomotor exercises in PSP, the quality of ...
McGinley, Jennifer L.   +3 more
core   +2 more sources

Accuracy of MR markers for differentiating Progressive Supranuclear Palsy from Parkinson's disease

open access: yesNeuroImage: Clinical, 2016
Background: Advanced brain MR techniques are useful tools for differentiating Progressive Supranuclear Palsy from Parkinson's disease, although time-consuming and unlikely to be used all together in routine clinical work.
Stefano Zanigni   +14 more
doaj   +1 more source

Methods and utility of quantitative brainstem measurements in progressive supranuclear palsy versus Parkinson's disease in a routine clinical setting

open access: yesClinical Parkinsonism & Related Disorders, 2020
Background and Purpose: The clinical diagnosis of progressive supranuclear palsy can be challenging, as the clinical presentation overlaps with that of Parkinson's disease and multiple system atrophy.
Jessica Cooperrider   +2 more
doaj   +1 more source

Magnetic resonance imaging in the diagnosis of progressive supranuclear palsy: A case report and review of literature

open access: yesClinical Case Reports, 2023
Key Clinical Message Progressive supranuclear palsy (PSP) has many clinical features overlapping with other Parkinson syndromes and differentiation on clinical ground is difficult.
Baraka Alphonce   +4 more
doaj   +1 more source

Falls in Progressive Supranuclear Palsy [PDF]

open access: yesMovement Disorders Clinical Practice, 2019
ABSTRACTBackgroundDespite falls being an almost universal clinical feature and central to the presentation and diagnostic criteria of progressive supranuclear palsy, our understanding of falls is surprisingly limited and there are few effective treatment options.ObjectivesTo provide an overview of the topic of the impact, assessment, mechanism, and ...
Brown, Fraser S   +3 more
openaire   +3 more sources

Clinical features of progressive supranuclear palsy

open access: yesFrontiers in Aging Neuroscience, 2023
BackgroundProgressive supranuclear palsy (PSP) is a clinically heterogenous atypical parkinsonian syndrome. Therefore, early recognition and correct diagnosis of PSP is challenging but essential.
Yafei Wen   +36 more
doaj   +1 more source

Uncovering spatiotemporal patterns of atrophy in progressive supranuclear palsy using unsupervised machine learning [PDF]

open access: yes, 2023
To better understand the pathological and phenotypic heterogeneity of progressive supranuclear palsy and the links between the two, we applied a novel unsupervised machine learning algorithm (Subtype and Stage Inference) to the largest MRI data set to ...
Alexander, Daniel C   +15 more
core  

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