Increased Activation of Default Mode Network in Early Parkinson's With Excessive Daytime Sleepiness
The underlying neuropathology of excessive daytime sleepiness (EDS) remains elusive in Parkinson's disease (PD). We aim to investigate neural network changes that underlie EDS in PD. Early PD patients comprising eighty-one patients without EDS (EDS-) and seventeen patients with EDS (EDS+) recei...
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Published in | Frontiers in neuroscience Vol. 13; p. 1334 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Research Foundation
12.12.2019
Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
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Summary: | The underlying neuropathology of excessive daytime sleepiness (EDS) remains elusive in Parkinson's disease (PD). We aim to investigate neural network changes that underlie EDS in PD.
Early PD patients comprising eighty-one patients without EDS (EDS-) and seventeen patients with EDS (EDS+) received a resting state functional MRI scan and the Epworth Sleepiness Scale (ESS). Connectivities within the default mode network (DMN), motor and basal ganglia networks were compared between the EDS+ and EDS- groups. Correlations between network connectivity and the severity of EDS were investigated through linear regression.
EDS+ patients displayed a trend of increased network connectivity of the posterior DMN (pDMN). A significant positive correlation was found between connectivity of the ventromedial prefrontal cortex in the pDMN and ESS.
EDS+ patients are likely to display increased activation in the DMN, suggesting neural compensation in early PD or impaired attentiveness due to mechanisms such as mind-wandering. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Fabiana Novellino, Italian National Research Council (CNR), Italy This article was submitted to Neurodegeneration, a section of the journal Frontiers in Neuroscience Reviewed by: Bin Zhang, Guangzhou Medical University, China; Federica Vellante, Università degli Studi G. d’Annunzio Chieti e Pescara, Italy |
ISSN: | 1662-4548 1662-453X 1662-453X |
DOI: | 10.3389/fnins.2019.01334 |