Probing the Pre-diagnostic Phase of Parkinson's Disease in Population-Based Studies

Parkinson's disease covers a wide spectrum of symptoms, ranging from early non-motor symptoms to the characteristic bradykinesia, tremor and rigidity. Although differences in the symptomatology of Parkinson's disease are increasingly recognized, there is still a lack of insight into the he...

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Published in:Frontiers in neurology Vol. 12; p. 702502
Main Authors: Dommershuijsen, Lisanne J., Boon, Agnita J. W., Ikram, M. Kamran
Format: Journal Article
Language:English
Published: Frontiers Media S.A 01.07.2021
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ISSN:1664-2295, 1664-2295
Online Access:Get full text
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Summary:Parkinson's disease covers a wide spectrum of symptoms, ranging from early non-motor symptoms to the characteristic bradykinesia, tremor and rigidity. Although differences in the symptomatology of Parkinson's disease are increasingly recognized, there is still a lack of insight into the heterogeneity of the pre-diagnostic phase of Parkinson's disease. In this perspective, we highlight three aspects regarding the role of population-based studies in providing new insights into the heterogeneity of pre-diagnostic Parkinson's disease. First we describe several specific advantages of population-based cohort studies, including the design which overcomes some common biases, the broad data collection and the high external validity. Second, we draw a parallel with the field of Alzheimer's disease to provide future directions to uncover the heterogeneity of pre-diagnostic Parkinson's disease. Finally, we anticipate on the emergence of prevention and disease-modification trials and the potential role of population-based studies herein. In the coming years, bridging gaps between study designs will be essential to make vital advances in elucidating the heterogeneity of pre-diagnostic Parkinson's disease.
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This article was submitted to Movement Disorders, a section of the journal Frontiers in Neurology
Reviewed by: Sebastian Heinzel, University of Kiel, Germany; Alastair Noyce, Queen Mary University of London, United Kingdom
M. Kamran Ikram orcid.org/0000-0003-0173-9571
Edited by: Honglei Chen, Michigan State University, United States
ORCID: Lisanne J. Dommershuijsen orcid.org/0000-0001-6951-6935
ISSN:1664-2295
1664-2295
DOI:10.3389/fneur.2021.702502