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Signal enhancement in the output stage of the basal ganglia by synaptic short-term plasticity in the direct, indirect, and hyperdirect pathways

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2013
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Title
Signal enhancement in the output stage of the basal ganglia by synaptic short-term plasticity in the direct, indirect, and hyperdirect pathways
Published in
Frontiers in Computational Neuroscience, January 2013
DOI 10.3389/fncom.2013.00076
Pubmed ID
Authors

Mikael Lindahl, Iman Kamali Sarvestani, Örjan Ekeberg, Jeanette Hellgren Kotaleski

Abstract

Many of the synapses in the basal ganglia display short-term plasticity. Still, computational models have not yet been used to investigate how this affects signaling. Here we use a model of the basal ganglia network, constrained by available data, to quantitatively investigate how synaptic short-term plasticity affects the substantia nigra reticulata (SNr), the basal ganglia output nucleus. We find that SNr becomes particularly responsive to the characteristic burst-like activity seen in both direct and indirect pathway striatal medium spiny neurons (MSN). As expected by the standard model, direct pathway MSNs are responsible for decreasing the activity in SNr. In particular, our simulations indicate that bursting in only a few percent of the direct pathway MSNs is sufficient for completely inhibiting SNr neuron activity. The standard model also suggests that SNr activity in the indirect pathway is controlled by MSNs disinhibiting the subthalamic nucleus (STN) via the globus pallidus externa (GPe). Our model rather indicates that SNr activity is controlled by the direct GPe-SNr projections. This is partly because GPe strongly inhibits SNr but also due to depressing STN-SNr synapses. Furthermore, depressing GPe-SNr synapses allow the system to become sensitive to irregularly firing GPe subpopulations, as seen in dopamine depleted conditions, even when the GPe mean firing rate does not change. Similar to the direct pathway, simulations indicate that only a few percent of bursting indirect pathway MSNs can significantly increase the activity in SNr. Finally, the model predicts depressing STN-SNr synapses, since such an assumption explains experiments showing that a brief transient activation of the hyperdirect pathway generates a tri-phasic response in SNr, while a sustained STN activation has minor effects. This can be explained if STN-SNr synapses are depressing such that their effects are counteracted by the (known) depressing GPe-SNr inputs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Sweden 2 3%
France 1 2%
United Kingdom 1 2%
United States 1 2%
Serbia 1 2%
Unknown 56 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 30%
Student > Ph. D. Student 16 25%
Student > Master 6 9%
Student > Postgraduate 4 6%
Professor > Associate Professor 4 6%
Other 10 16%
Unknown 5 8%
Readers by discipline Count As %
Neuroscience 15 23%
Agricultural and Biological Sciences 15 23%
Computer Science 11 17%
Medicine and Dentistry 6 9%
Mathematics 2 3%
Other 7 11%
Unknown 8 13%
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 19 June 2013.
All research outputs
#19,701,336
of 24,226,848 outputs
Outputs from Frontiers in Computational Neuroscience
#1,091
of 1,406 outputs
Outputs of similar age
#226,695
of 289,058 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#94
of 135 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,406 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.