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Correlation transfer from basal ganglia to thalamus in Parkinson's disease

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2011
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Title
Correlation transfer from basal ganglia to thalamus in Parkinson's disease
Published in
Frontiers in Computational Neuroscience, January 2011
DOI 10.3389/fncom.2011.00058
Pubmed ID
Authors

Reitsma Pamela, Doiron Brent, Rubin Jonathan

Abstract

Spike trains from neurons in the basal ganglia of parkinsonian primates show increased pairwise correlations, oscillatory activity, and burst rate compared to those from neurons recorded during normal brain activity. However, it is not known how these changes affect the behavior of downstream thalamic neurons. To understand how patterns of basal ganglia population activity may affect thalamic spike statistics, we study pairs of model thalamocortical (TC) relay neurons receiving correlated inhibitory input from the internal segment of the globus pallidus (GPi), a primary output nucleus of the basal ganglia. We observe that the strength of correlations of TC neuron spike trains increases with the GPi correlation level, and bursty firing patterns such as those seen in the parkinsonian GPi allow for stronger transfer of correlations than do firing patterns found under normal conditions. We also show that the T-current in the TC neurons does not significantly affect correlation transfer, despite its pronounced effects on spiking. Oscillatory firing patterns in GPi are shown to affect the timescale at which correlations are best transferred through the system. To explain this last result, we analytically compute the spike count correlation coefficient for oscillatory cases in a reduced point process model. Our analysis indicates that the dependence of the timescale of correlation transfer is robust to different levels of input spike and rate correlations and arises due to differences in instantaneous spike correlations, even when the long timescale rhythmic modulations of neurons are identical. Overall, these results show that parkinsonian firing patterns in GPi do affect the transfer of correlations to the thalamus.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Germany 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Professor 6 13%
Student > Doctoral Student 5 11%
Professor > Associate Professor 5 11%
Student > Bachelor 4 9%
Other 8 17%
Unknown 7 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 33%
Neuroscience 4 9%
Engineering 4 9%
Psychology 3 7%
Mathematics 2 4%
Other 8 17%
Unknown 10 22%
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 14 December 2011.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Frontiers in Computational Neuroscience
#1,156
of 1,336 outputs
Outputs of similar age
#169,848
of 180,328 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#18
of 19 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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