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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
977

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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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Parkinson's disease biomarkers program brain imaging repository.

Edward Ofori1, Guangwei Du2, Debra Babcock3

  • 1Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL 32611, USA.

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The Parkinson's Disease Biomarkers Program (PDBP) is identifying biomarkers for Parkinson's disease (PD) to advance understanding and clinical trials. This multi-site study shares integrated data and biosamples for research collaboration.

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Area of Science:

  • Neuroscience
  • Biomarker Discovery
  • Clinical Research

Background:

  • Parkinson's disease (PD) lacks definitive biomarkers for diagnosis and progression tracking.
  • Existing research requires integrated data and biosamples for comprehensive analysis.
  • The Parkinson's Disease Biomarkers Program (PDBP) was established to address these needs.

Purpose of the Study:

  • To identify Parkinson's disease (PD) biomarkers for improved understanding of disease pathophysiology.
  • To develop novel tools for evaluating PD in clinical trials.
  • To facilitate research and collaboration in PD biomarker discovery.

Main Methods:

  • Multi-site data collection from PD patients, atypical Parkinsonian patients, essential tremor patients, and healthy controls.
  • Integration of clinical evaluations (motor, cognitive) and biosamples (blood, cerebrospinal fluid).
  • Development of a web-based Data Management Resource for data and biosample sharing.

Main Results:

  • Established a comprehensive database of integrated study data and biosamples.
  • Initiated the development of brain imaging markers for PD diagnosis, progression, and prognosis.
  • Facilitated rapid data and biosample sharing across the PD research community.

Conclusions:

  • The PDBP consortium serves as a valuable resource for PD research and collaboration.
  • The program advances the discovery of biomarkers for understanding PD pathophysiology.
  • The shared data and biosamples will aid in developing new diagnostic and prognostic tools for PD.