Abstract

Background: The diagnosis of Parkinson's Disease (PD) remains a challenge and is currently based on the assessment of clinical symptoms. PD is also a heterogeneous disease with great variability in symptoms, disease course, and response to therapy. There is a general need for a better understanding of this heterogeneity and the interlinked long-term changes in brain function and structure in PD. Over the past years there is increasing interest in the value of new paradigms in Magnetic Resonance Imaging (MRI) and the potential of ultra-high field strength imaging in the diagnostic work-up of PD. With this multimodal 7 T MRI study, our objectives are: 1) To identify distinctive MRI characteristics in PD patients and to create a diagnostic tool based on these differences. 2) To correlate MRI characteristics to clinical phenotype, genetics and progression of symptoms. 3) To detect future imaging biomarkers for disease progression that could be valuable for the evaluation of new therapies.

Methods: The TRACK-PD study is a longitudinal observational study in a cohort of 130 recently diagnosed (

Discussion: This is the first longitudinal, observational, 7 T MRI study in PD patients. With this study, an important contribution can be made to the improvement of the current diagnostic process in PD. Moreover, this study will be able to provide valuable information related to the different clinical phenotypes of PD and their correlating MRI characteristics. The long-term aim of this study is to better understand PD and develop new biomarkers for disease progression which may help new therapy development. Eventually, this may lead to predictive models for individual PD patients and towards personalized medicine in the future.

Original languageEnglish
Article number292
Number of pages10
JournalBMC Neurology
Volume20
Issue number1
DOIs
Publication statusPublished - 5 Aug 2020

Keywords

  • Cohort studies
  • Parkinson's disease
  • Ultra-high field MRI
  • Biomarkers
  • 7 TESLA MRI
  • SUBSTANTIA-NIGRA
  • CLINICAL-FEATURES
  • RATING-SCALE
  • BIOMARKERS
  • HYPERINTENSITY
  • QUESTIONNAIRE
  • DISORDERS
  • DIAGNOSIS
  • RELIABILITY

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