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Alterations in Brain Connectivity Underlying Beta Oscillations in Parkinsonism

Overview of attention for article published in PLoS Computational Biology, August 2011
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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1 blog
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1 X user
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1 Facebook page

Citations

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165 Dimensions

Readers on

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337 Mendeley
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1 CiteULike
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Title
Alterations in Brain Connectivity Underlying Beta Oscillations in Parkinsonism
Published in
PLoS Computational Biology, August 2011
DOI 10.1371/journal.pcbi.1002124
Pubmed ID
Authors

Rosalyn J. Moran, Nicolas Mallet, Vladimir Litvak, Raymond J. Dolan, Peter J. Magill, Karl J. Friston, Peter Brown

Abstract

Cortico-basal ganglia-thalamocortical circuits are severely disrupted by the dopamine depletion of Parkinson's disease (PD), leading to pathologically exaggerated beta oscillations. Abnormal rhythms, found in several circuit nodes are correlated with movement impairments but their neural basis remains unclear. Here, we used dynamic causal modelling (DCM) and the 6-hydroxydopamine-lesioned rat model of PD to examine the effective connectivity underlying these spectral abnormalities. We acquired auto-spectral and cross-spectral measures of beta oscillations (10-35 Hz) from local field potential recordings made simultaneously in the frontal cortex, striatum, external globus pallidus (GPe) and subthalamic nucleus (STN), and used these data to optimise neurobiologically plausible models. Chronic dopamine depletion reorganised the cortico-basal ganglia-thalamocortical circuit, with increased effective connectivity in the pathway from cortex to STN and decreased connectivity from STN to GPe. Moreover, a contribution analysis of the Parkinsonian circuit distinguished between pathogenic and compensatory processes and revealed how effective connectivity along the indirect pathway acquired a strategic importance that underpins beta oscillations. In modelling excessive beta synchrony in PD, these findings provide a novel perspective on how altered connectivity in basal ganglia-thalamocortical circuits reflects a balance between pathogenesis and compensation, and predicts potential new therapeutic targets to overcome dysfunctional oscillations.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 11 3%
United States 9 3%
Germany 5 1%
France 2 <1%
China 2 <1%
Canada 2 <1%
Netherlands 1 <1%
Japan 1 <1%
Cuba 1 <1%
Other 0 0%
Unknown 303 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 87 26%
Researcher 86 26%
Student > Master 40 12%
Professor 18 5%
Student > Bachelor 18 5%
Other 59 18%
Unknown 29 9%
Readers by discipline Count As %
Neuroscience 78 23%
Agricultural and Biological Sciences 74 22%
Medicine and Dentistry 44 13%
Psychology 35 10%
Engineering 29 9%
Other 33 10%
Unknown 44 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 January 2012.
All research outputs
#4,344,505
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#3,555
of 9,003 outputs
Outputs of similar age
#22,192
of 132,104 outputs
Outputs of similar age from PLoS Computational Biology
#20
of 63 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 132,104 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.