Evidence map›Paper›PMID 28840190›Full record

ArticleeNeuro

Activity Dynamics and Signal Representation in a Striatal Network Model with Distance-Dependent Connectivity.

Sebastian Spreizer, Martin Angelhuber, Jyotika Bahuguna, Ad Aertsen, Arvind Kumar

Open access · goldAbstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. 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
  2. Patterns of synchronization in 2D networks of inhibitory neurons.Frontiers in computational neuroscience · 2022
    Article
  3. Ramping activity in the striatum.Frontiers in computational neuroscience · 2022
    Article
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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

5 authors at 2 institutions in 2 countries.

Sebastian SpreizerFaculty of Biology, University of Freiburg, Freiburg, D-79104, Germany.ORCID 0000-0002-7720-9211
Martin AngelhuberFaculty of Biology, University of Freiburg, Freiburg, D-79104, Germany.
Jyotika BahugunaInstitute of Neuroscience and Medicine (INM-6), Institute for Advanced Simulation 4 (IAS-6), Research Centre Jülich, Jülich, D-52428, Germany.ORCID 0000-0002-2858-5325
Ad AertsenFaculty of Biology, University of Freiburg, Freiburg, D-79104, Germany.ORCID 0000-0002-8596-6888
Arvind KumarBernstein Center Freiburg, University of Freiburg, Freiburg, D-79104, Germany.ORCID 0000-0002-8044-9195
University of Freiburg · DEForschungszentrum Jülich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The striatum is the main input nucleus of the basal ganglia. Characterizing striatal activity dynamics is crucial to understanding mechanisms underlying action selection, initiation, and execution. Here, we studied the effects of spatial network connectivity on the spatiotemporal structure of striatal activity. We show that a striatal network with nonmonotonically changing distance-dependent connectivity (according to a gamma distribution) can exhibit a wide repertoire of spatiotemporal dynamics, ranging from spatially homogeneous, asynchronous-irregular (AI) activity to a state with stable, spatially localized activity bumps, as in "winner-take-all" (WTA) dynamics. Among these regimes, the unstable activity bumps [transition activity (TA)] regime closely resembles the experimentally observed spatiotemporal activity dynamics and neuronal assemblies in the striatum. In contrast, striatal networks with monotonically decreasing distance-dependent connectivity (in a Gaussian fashion) can exhibit only an AI state. Thus, given the observation of spatially compact neuronal clusters in the striatum, our model suggests that recurrent connectivity among striatal projection neurons should vary nonmonotonically. In brain disorders such as Parkinson's disease, increased cortical inputs and high striatal firing rates are associated with a reduction in stimulus sensitivity. Consistent with this, our model suggests that strong cortical inputs drive the striatum to a WTA state, leading to low stimulus sensitivity and high variability. In contrast, the AI and TA states show high stimulus sensitivity and reliability. Thus, based on these results, we propose that in a healthy state the striatum operates in a AI/TA state and that lack of dopamine pushes it into a WTA state.

Indexed as

Models, NeurologicalAction PotentialsAnimalsCerebral CortexComputer SimulationCorpus StriatumDopamineModels, StatisticalNeural InhibitionNeural PathwaysNeuronsThalamusDopamineBasal gangliainhibitory networksneuronal assemblyParkinson’s diseasestriatum

Identifiers

PMID28840190
PMCPMC5566799
OpenAlexW2952997161

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.