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Large-scale resting state network correlates of cognitive impairment in Parkinson's disease and related dopaminergic deficits

Overview of attention for article published in Frontiers in Systems Neuroscience, April 2014
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Title
Large-scale resting state network correlates of cognitive impairment in Parkinson's disease and related dopaminergic deficits
Published in
Frontiers in Systems Neuroscience, April 2014
DOI 10.3389/fnsys.2014.00045
Pubmed ID
Authors

Alexander V. Lebedev, Eric Westman, Andrew Simmons, Aleksandra Lebedeva, Françoise J. Siepel, Joana B. Pereira, Dag Aarsland

Abstract

Cognitive impairment is a common non-motor feature of Parkinson's disease (PD). Understanding the neural mechanisms of this deficit is crucial for the development of efficient methods for treatment monitoring and augmentation of cognitive functions in PD patients. The current study aimed to investigate resting state fMRI correlates of cognitive impairment in PD from a large-scale network perspective, and to assess the impact of dopamine deficiency on these networks. Thirty PD patients with resting state fMRI were included from the Parkinson's Progression Marker Initiative (PPMI) database. Eighteen patients from this sample were also scanned with (123)I-FP-CIT SPECT. A standardized neuropsychological battery was administered, evaluating verbal memory, visuospatial, and executive cognitive domains. Image preprocessing was performed using an SPM8-based workflow, obtaining time-series from 90 regions-of-interest (ROIs) defined from the AAL brain atlas. The Brain Connectivity Toolbox (BCT) was used to extract nodal strength from all ROIs, and modularity of the cognitive circuitry determined using the meta-analytical software Neurosynth. Brain-behavior covariance patterns between cognitive functions and nodal strength were estimated using Partial Least Squares. Extracted latent variable (LV) scores were matched with the performances in the three cognitive domains (memory, visuospatial, and executive) and striatal dopamine transporter binding ratios (SBR) using linear modeling. Finally, influence of nigrostriatal dopaminergic deficiency on the modularity of the "cognitive network" was analyzed. For the range of deficits studied, better executive performance was associated with increased dorsal fronto-parietal cortical processing and inhibited subcortical and primary sensory involvement. This profile was also characterized by a relative preservation of nigrostriatal dopaminergic function. The profile associated with better memory performance correlated with increased prefronto-limbic processing, and was not associated with presynaptic striatal dopamine uptake. SBR ratios were negatively correlated with modularity of the "cognitive network," suggesting integrative effects of the preserved nigrostriatal dopamine system on this circuitry.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 2%
United States 1 <1%
United Kingdom 1 <1%
Unknown 215 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 20%
Student > Ph. D. Student 42 19%
Student > Master 22 10%
Student > Bachelor 18 8%
Student > Doctoral Student 17 8%
Other 32 14%
Unknown 45 20%
Readers by discipline Count As %
Neuroscience 47 21%
Medicine and Dentistry 38 17%
Psychology 33 15%
Engineering 14 6%
Agricultural and Biological Sciences 12 5%
Other 19 9%
Unknown 58 26%
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 16 March 2014.
All research outputs
#18,367,612
of 22,749,166 outputs
Outputs from Frontiers in Systems Neuroscience
#1,128
of 1,340 outputs
Outputs of similar age
#163,217
of 225,512 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#40
of 48 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,340 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 225,512 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.