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Cognitive Profiles and Hub Vulnerability in Parkinson's Disease

Overview of attention for article published in Frontiers in Neurology, June 2018
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Title
Cognitive Profiles and Hub Vulnerability in Parkinson's Disease
Published in
Frontiers in Neurology, June 2018
DOI 10.3389/fneur.2018.00482
Pubmed ID
Authors

Sue-Jin Lin, Tobias R. Baumeister, Saurabh Garg, Martin J. McKeown

Abstract

The clinicopathological correlations between aspects of cognition, disease severity and imaging in Parkinson's Disease (PD) have been unclear. We studied cognitive profiles, demographics, and functional connectivity patterns derived from resting-state fMRI data (rsFC) in 31 PD subjects from the Parkinson's Progression Markers Initiative (PPMI) database. We also examined rsFC from 19 healthy subjects (HS) from the Pacific Parkinson's Research Centre. Graph theoretical measures were used to summarize the rsFC patterns. Canonical correlation analysis (CCA) was used to relate separate cognitive profiles in PD that were associated with disease severity and demographic measures as well as rsFC network measures. The CCA model relating cognition to demographics suggested female gender and education supported cognitive function in PD, age and depression scores were anti-correlated with overall cognition, and UPDRS had little influence on cognition. Alone, rsFC global network measures did not significantly differ between PD and controls, yet some nodal network measures, such as network segregation, were distinguishable between PD and HS in cortical "hub" regions. The CCA model relating cognition to rsFC global network values, which was not related to the other CCA model relating cognition to demographic information, suggested modularity, rich club coefficient, and transitivity was also broadly related to cognition in PD. Our results suggest that education, aging, comorbidity, and gender impact cognition more than overall disease severity in PD. Cortical "hub" regions are vulnerable in PD, and impairments of processing speed, attention, scanning abilities, and executive skills are related to enhanced functional segregation seen in PD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 19%
Student > Bachelor 7 8%
Researcher 7 8%
Student > Doctoral Student 5 6%
Student > Master 5 6%
Other 5 6%
Unknown 40 47%
Readers by discipline Count As %
Neuroscience 14 16%
Psychology 8 9%
Medicine and Dentistry 7 8%
Agricultural and Biological Sciences 4 5%
Engineering 3 4%
Other 8 9%
Unknown 41 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 June 2018.
All research outputs
#20,523,725
of 23,092,602 outputs
Outputs from Frontiers in Neurology
#9,014
of 12,007 outputs
Outputs of similar age
#287,398
of 328,081 outputs
Outputs of similar age from Frontiers in Neurology
#249
of 322 outputs
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