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 inFrontiers in neuroscience Vol. 13; p. 1334
Main Authors Ooi, Leon Qi Rong, Wen, Ming-Ching, Ng, Samuel Yong-Ern, Chia, Nicole Shuang-Yu, Chew, Isabel Hui Min, Lee, Weiling, Xu, Zheyu, Hartono, Septian, Tan, Eng King, Chan, Ling Ling, Tan, Louis Chew-Seng
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 12.12.2019
Frontiers Media S.A
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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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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