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Are Sleep Disturbances Preclinical Markers of Parkinson’s Disease?

Overview of attention for article published in Neurochemical Research, November 2014
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Title
Are Sleep Disturbances Preclinical Markers of Parkinson’s Disease?
Published in
Neurochemical Research, November 2014
DOI 10.1007/s11064-014-1488-7
Pubmed ID
Authors

Altair B. dos Santos, Kristi A. Kohlmeier, George E. Barreto

Abstract

Parkinson's disease (PD) is a neurobehavioral disorder characterized by motor symptoms and signs, and non-motor abnormalities such as olfactory dysfunction, pain, sleep disorders and cognitive impairment. Amongst these alterations, sleep disturbances play an important role in the pathology, but presence of disturbed sleep is not currently considered in diagnosis. However, sleeping problems may precede by many years the classic motor abnormalities of PD and should be clinically evaluated as a potential marker before disease onset. The first disturbance reported with this potential was the disorder REM sleep behaviour and currently several other disturbances have gained importance as potential markers, such as excessive daytime sleepiness, restless legs syndrome and new evidence also points to changes in circadian rhythms. Here we present a brief review of the major evidence indicating that sleep disturbances precede the motor symptoms in PD and neurodegeneration occurs in regions that could underlie these phenomena in order to provide support for the conclusion that disturbances of sleep should be considered as valuable preclinical markers for PD.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Netherlands 1 1%
Denmark 1 1%
Australia 1 1%
Unknown 66 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 14%
Researcher 9 13%
Student > Ph. D. Student 9 13%
Student > Master 8 11%
Student > Doctoral Student 6 9%
Other 14 20%
Unknown 14 20%
Readers by discipline Count As %
Medicine and Dentistry 13 19%
Agricultural and Biological Sciences 11 16%
Neuroscience 9 13%
Social Sciences 4 6%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 13 19%
Unknown 17 24%