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3,900 results for “parkinsonism”
Parkinson disease validation algorithms
<p>The primary objective of this study was to validate two algorithms for the identification of persons with PD using clinical diagnosis as the reference standard on an Italian sample of people with PD. </p> <p>Two algorithms (index tests) applied to health administrative databases (hospital discharge, drug prescriptions, exemptions for medical costs) were validated against clinical diagnosis of PD by an expert neurologist (reference standard) in a cohort of consecutive outpatients.</p> <p>The two algorithms showed high accuracy for identifying patients with PD: one with greater sensitivity 94.2% (95% CI 88.4 – 97.6) and the other with greater specificity 98.1% (95% CI 97.7 – 98.5).</p>
Single-nucleus RNA-sequencing reveals oligodendrocytes and their progenitors as vulnerable cell types in prefrontal cortex and anterior cingulate of brains with Parkinson's disease
<p>Several prior studies have proposed the involvement of various brain regions and cell types in Parkinson's disease (PD) pathology. Here, we performed snRNA-seq on the prefrontal cortex and anterior cingulate regions from post-mortem control and PD brain tissue. We found a dramatic association of oligodendrocytes and oligodendrocyte precursor cells with PD-linked risk loci and reported several dysregulated genes and pathways, including regulation of tau-protein kinase activity, regulation of inclusion body assembly and protein processing involved in protein targeting to mitochondria.</p>
Intensive training programme improves handwriting in a community cohort of people with Parkinson's disease
<p><strong>Background</strong>: People with Parkinson’s disease (PwP) often report problems with their handwriting before they receive a formal diagnosis. Many PwP suffer from deteriorating handwriting throughout their illness, which has detrimental effects on many aspects of their quality of life. </p> <p><strong>Aims:</strong> To assess a 6-week online training programme aimed at improving handwriting of PwP. </p> <p><strong>Methods</strong>: Handwriting samples from a community-based cohort of PwP (n=48) were analysed using Systematic Detection of Writing Problems (SOS-PD) by two independent raters, before and after a 6-week remotely-monitored Physiotherapy-led training programme. Inter-rater variability on multiple measures of handwriting quality was analysed. The handwriting data was analysed using pre/post design in the same individuals. Multiple aspects of the handwriting samples were assessed, including writing fluency, transitions between letters, regularity in letter size, word spacing, and straightness of lines. </p> <p><strong>Results</strong>: Analysis of inter-rater reliability showed high agreement for total handwriting scores, letter size, as well as speed and legibility scores, whereas there were mixed levels of inter-rater reliability for other handwriting measures. Overall handwriting quality (p=0.001) and legibility (p=0.009) significantly improved, while letter size (p=0.012), fluency (p=0.001), regularity of letter size (p=0.009) and straightness of lines (p=0.036) were also enhanced. </p> <p><strong>Conclusions</strong>: The results of this study show that this 6-week intensive remotely-monitored Physiotherapy-led handwriting programme, improved handwriting in PwP. This is the first of its kind study using this tool remotely and it demonstrated that the SOS-PD is reliable for measuring handwriting in PwP.</p> <p><strong>Background</strong>: People with Parkinson’s disease (PwP) often report problems with their handwriting before they receive a formal diagnosis. Many PwP suffer from deteriorating handwriting throughout their illness, which has detrimental effects on many aspects of their quality of life. </p> <p><strong>Aims:</strong> To assess a 6-week online training programme aimed at improving handwriting of PwP. </p> <p><strong>Methods</strong>: Handwriting samples from a community-based cohort of PwP (n=48) were analysed using Systematic Detection of Writing Problems (SOS-PD) by two independent raters, before and after a 6-week remotely-monitored Physiotherapy-led training programme. Inter-rater variability on multiple measures of handwriting quality was analysed. The handwriting data was analysed using pre/post design in the same individuals. Multiple aspects of the handwriting samples were assessed, including writing fluency, transitions between letters, regularity in letter size, word spacing, and straightness of lines. </p> <p><strong>Results</strong>: Analysis of inter-rater reliability showed high agreement for total handwriting scores, letter size, as well as speed and legibility scores, whereas there were mixed levels of inter-rater reliability for other handwriting measures. Overall handwriting quality (p=0.001) and legibility (p=0.009) significantly improved, while letter size (p=0.012), fluency (p=0.001), regularity of letter size (p=0.009) and straightness of lines (p=0.036) were also enhanced. </p> <p><strong>Conclusions</strong>: The results of this study show that this 6-week intensive remotely-monitored Physiotherapy-led handwriting programme, improved handwriting in PwP. This is the first of its kind study using this tool remotely and it demonstrated that the SOS-PD is reliable for measuring handwriting in PwP.</p>
Generalizable electroencephalographic classification of Parkinson's disease using deep learning
<p>This is the data originally accessed from http://predict.cs.unm.edu/downloads.php </p> <p>Here, we provide the pre-processed data from our manuscript to allow for the easy replication of our experiments. </p> <p>Here is the repo associated with our paper: https://github.com/diamandis-lab/CNN_EEG_PD </p>
Omics data integration suggests a potential idiopathic Parkinson's disease signature
<p>Dataset linked to the manuscript under revision: <strong>Omics data integration suggests a potential idiopathic Parkinson's disease signature.</strong><i><strong> </strong>Complete manuscript information can be found here: https:/doi.org/</i>10.17881/v8jg-pw83</p>
rTMS to Improve Cognition in Parkinson's
ClinicalTrials.gov study NCT03836950. IPD Sharing: YES. Countries: 1. Publications: 0.
Split-belt Treadmill Training for Freezing of Gait in Parkinson's Disease
ClinicalTrials.gov study NCT05511597. IPD Sharing: NO. Countries: 1. Publications: 2.
Effect of WB-EMS on Parkinson's Disease
ClinicalTrials.gov study NCT04878679. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Efficacy of Nano-PSO in Parkinson's Disease.
ClinicalTrials.gov study NCT05142085. IPD Sharing: NO. Countries: 1. Publications: 12.
Exercise Intervention and Dexterity in Parkinson
ClinicalTrials.gov study NCT01749917. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Coenzyme Q10 as a Symptomatic Treatment in Parkinson's Disease
ClinicalTrials.gov study NCT00180037. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Selegiline for the Treatment of Excessive Daytime Sleepiness in Parkinson's Disease
ClinicalTrials.gov study NCT04870372. IPD Sharing: NO. Countries: 1. Publications: 2.
Increased Gut Permeability to Lipopolysaccharides (LPS) in Parkinson's Disease
ClinicalTrials.gov study NCT01155492. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Riluzole to Treat Parkinson's Disease
ClinicalTrials.gov study NCT00013624. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Galantamine Executive Function in Parkinson's Disease
ClinicalTrials.gov study NCT00211588. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Glucose Tolerance in Patients With an Idiopathic Parkinson's Disease
ClinicalTrials.gov study NCT01114321. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Effects of Deep Brain Stimulation in Parkinson's Disease
ClinicalTrials.gov study NCT00855621. IPD Sharing: Not stated. Countries: 1. Publications: 1.
EMD 128130 for the Treatment of Parkinson's Disease
ClinicalTrials.gov study NCT00009048. IPD Sharing: Not stated. Countries: 1. Publications: 3.
The Acute Effect of Cervical Mobilization in Parkinson's Disease
ClinicalTrials.gov study NCT04524143. IPD Sharing: NO. Countries: 1. Publications: 8.
Biomarker Assessments of Leukine During Treatment of Parkinson's Disease
ClinicalTrials.gov study NCT03790670. IPD Sharing: NO. Countries: 1. Publications: 5.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.