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73
datasets available to search
ShareScore release 0.9.0
Dataset results
73 results for “Parkinson's disease','biomarkers”
Identifying Biomarkers of Parkinson's Disease Using Magnetic Resonance Imaging (MRI)
ClinicalTrials.gov study NCT01888185. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Exploring Brain Molecular Imaging and Blood Biomarkers in Subjects With Glucocerebrosidase Mutations: Toward a Precision Medicine Approach to Characterize Parkinson's Disease Clinical Trajectories
ClinicalTrials.gov study NCT06167603. IPD Sharing: NO. Countries: 1. Publications: 0.
Innovative Biomarkers in de Novo Parkinson's Disease
ClinicalTrials.gov study NCT03940677. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Uncovering an Electrical Biomarker for Freezing of Gait in Parkinson's Disease
ClinicalTrials.gov study NCT02548897. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Biomarker Discovery in Parkinson's Disease
ClinicalTrials.gov study NCT02016092. IPD Sharing: NO. Countries: 1. Publications: 0.
Effects of High-dose Coenzyme Q10 on Biomarkers of Oxidative Damage and Clinical Outcome in Parkinson Disease
ClinicalTrials.gov study NCT01892176. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Efficacy, Safety, Tolerability, and Biomarker Effects of GT-02287 in Early Parkinson's Disease
ClinicalTrials.gov study NCT07280299. IPD Sharing: NO. Countries: 0. Publications: 0.
Predicting Outcomes From tDCS Intervention in Parkinson' Disease Using Electroencephalographic Biomarkers and Machine Learning Approach: the PREDICT Study Protocol
ClinicalTrials.gov study NCT04819061. IPD Sharing: Not stated. Countries: 0. Publications: 0.
SudoScan as a Biomarker of Parkinson's Disease
ClinicalTrials.gov study NCT02767037. IPD Sharing: YES. Countries: 0. Publications: 0.
Exploring Sarcopenia in Parkinson's Disease Patients by Combining Serum Biomarker Levels
ClinicalTrials.gov study NCT06511531. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Effect of Biological Sex on Multimodal Biomarkers of Disease Progression in Patients with Parkinson's Disease
ClinicalTrials.gov study NCT06790381. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Analysis of the Prognostic Role of Epigenetic Biomarkers in Relation to the Motor Decline in Parkinson's Disease
ClinicalTrials.gov study NCT05384522. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Technology-based therapy-response and prognostic biomarkers in a prospective study of a de novo Parkinson's disease cohort
<p>This database includes the raw data linked with the paper “ Technology-based therapy-response and prognostic biomarkers in a prospective study of a de novo Parkinson’s disease cohort” published on “NPJ Parkinson’s disease”.</p> <p>This work aims at identifying prognostic biomarkers in newly diagnosed PD patients and quantifying therapy-response. Forty de novo PD patients underwent clinical and technology-based kinematic assessments performing motor tasks (MDS-UPDRS part III) to assess tremor, bradykinesia, gait, and postural stability (T0). A visit after 6 months (T1) and a clinical and kinematic assessment after 12 months (T2) where scheduled. A clinical follow-up was provided between 30 and 36 months after the diagnosis (T3).</p> <p>We performed an ANOVA for repeated measures to compare patients’ kinematic features at baseline and at T2 to assess therapy response. Pearson correlation test was run between baseline kinematic features and UPDRS III score variation between T0 and T3, to select candidate kinematic prognostic biomarkers. A multiple linear regression model was created to predict the long-term motor outcome using T0 kinematic measures. All motor tasks significantly improved after the dopamine replacement therapy.</p> <p>A significant correlation was found between UPDRS scores variation and some baseline bradykinesia (toe tapping amplitude decrement, p = 0.009) and gait features (velocity of arms and legs, sit-to-stand time, p = 0.007; p = 0.009; p = 0.01, respectively).</p> <p>A linear regression model including four baseline kinematic features could significantly predict the motor outcome (p = 0.000214). Technology-based objective measures represent possible early and reproducible therapy-response and prognostic biomarkers.</p> <p> </p> <p> </p> <p> </p>
ScienceDex guides
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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.