Evidence map›Paper›PMID 25910230›Full record

ArticlePLoS computational biology2015

Existence and control of Go/No-Go decision transition threshold in the striatum.

Jyotika Bahuguna, Ad Aertsen, Arvind Kumar

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Computational insights on asymmetricalCognitive neurodynamics · 2024
    Article
  4. Article
  5. Bayesian Mapping of the Striatal Microcircuit Reveals Robust Asymmetries in the Probabilities and Distances of Connections.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  6. Review
  7. Article
  8. The microcircuits of striatum in silico.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  9. Article
  10. Biased competition in the absence of input bias revealed through corticostriatal computation.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  11. Errors in Action Timing and Inhibition Facilitate Learning by Tuning Distinct Mechanisms in the Underlying Decision Process.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  12. Article
  13. Review
  14. A Pause-then-Cancel model of stopping: evidence from basal ganglia neurophysiology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jyotika BahugunaBernstein Center Freiburg and Faculty of Biology, University of Freiburg, Freiburg, Germany; Computational Biology, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, Sweden.
Ad AertsenBernstein Center Freiburg and Faculty of Biology, University of Freiburg, Freiburg, Germany.
Arvind KumarBernstein Center Freiburg and Faculty of Biology, University of Freiburg, Freiburg, Germany; Computational Biology, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A typical Go/No-Go decision is suggested to be implemented in the brain via the activation of the direct or indirect pathway in the basal ganglia. Medium spiny neurons (MSNs) in the striatum, receiving input from cortex and projecting to the direct and indirect pathways express D1 and D2 type dopamine receptors, respectively. Recently, it has become clear that the two types of MSNs markedly differ in their mutual and recurrent connectivities as well as feedforward inhibition from FSIs. Therefore, to understand striatal function in action selection, it is of key importance to identify the role of the distinct connectivities within and between the two types of MSNs on the balance of their activity. Here, we used both a reduced firing rate model and numerical simulations of a spiking network model of the striatum to analyze the dynamic balance of spiking activities in D1 and D2 MSNs. We show that the asymmetric connectivity of the two types of MSNs renders the striatum into a threshold device, indicating the state of cortical input rates and correlations by the relative activity rates of D1 and D2 MSNs. Next, we describe how this striatal threshold can be effectively modulated by the activity of fast spiking interneurons, by the dopamine level, and by the activity of the GPe via pallidostriatal backprojections. We show that multiple mechanisms exist in the basal ganglia for biasing striatal output in favour of either the `Go' or the `No-Go' pathway. This new understanding of striatal network dynamics provides novel insights into the putative role of the striatum in various behavioral deficits in patients with Parkinson's disease, including increased reaction times, L-Dopa-induced dyskinesia, and deep brain stimulation-induced impulsivity.

Indexed as

Models, NeurologicalAction PotentialsAnimalsComputer SimulationCorpus StriatumDecision MakingDopaminergic NeuronsHumansNerve NetReceptors, DopamineReceptors, Dopamine

Identifiers

PMID25910230
PMCPMC4409064

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.