Evidence map›Paper›PMID 25505406›Full record

ArticleFrontiers in computational neuroscience2014

Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network.

Jason T Moyer, Benjamin L Halterman, Leif H Finkel, John A Wolf

Abstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Pathological cell assembly dynamics in a striatal MSN network model.Frontiers in computational neuroscience · 2024
    Article
  4. Article
  5. Article
  6. Striatal network modeling in Huntington's Disease.PLoS computational biology · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Loss of Homeostasis in the Direct Pathway in a Mouse Model of Asymptomatic Parkinson's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Article
  16. 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

4 authors.

Jason T MoyerDepartment of Bioengineering, University of Pennsylvania Philadelphia, PA, USA.
Benjamin L HaltermanDepartment of Bioengineering, University of Pennsylvania Philadelphia, PA, USA.
Leif H FinkelDepartment of Bioengineering, University of Pennsylvania Philadelphia, PA, USA.
John A WolfDepartment of Neurosurgery, University of Pennsylvania Philadelphia, PA, USA.

Funding

The International epilepsy electrophysiology databaseU24NS063930 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI LITT, BRIAN · 2010 to 2014
$5.6M
Integrated Interdisciplinary Training in Computational NeuroscienceT90DA022763 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI KAHANA, MICHAEL JACOB · 2006 to 2010
$713k
NIDA NIH HHS T90 DA022763NINDS NIH HHS U24 NS063930
6 · The paper itself

Abstract

Striatal medium spiny neurons (MSNs) receive lateral inhibitory projections from other MSNs and feedforward inhibitory projections from fast-spiking, parvalbumin-containing striatal interneurons (FSIs). The functional roles of these connections are unknown, and difficult to study in an experimental preparation. We therefore investigated the functionality of both lateral (MSN-MSN) and feedforward (FSI-MSN) inhibition using a large-scale computational model of the striatal network. The model consists of 2744 MSNs comprised of 189 compartments each and 121 FSIs comprised of 148 compartments each, with dendrites explicitly represented and almost all known ionic currents included and strictly constrained by biological data as appropriate. Our analysis of the model indicates that both lateral inhibition and feedforward inhibition function at the population level to limit non-ensemble MSN spiking while preserving ensemble MSN spiking. Specifically, lateral inhibition enables large ensembles of MSNs firing synchronously to strongly suppress non-ensemble MSNs over a short time-scale (10-30 ms). Feedforward inhibition enables FSIs to strongly inhibit weakly activated, non-ensemble MSNs while moderately inhibiting activated ensemble MSNs. Importantly, FSIs appear to more effectively inhibit MSNs when FSIs fire asynchronously. Both types of inhibition would increase the signal-to-noise ratio of responding MSN ensembles and contribute to the formation and dissolution of MSN ensembles in the striatal network.

Indexed as

basal gangliacomputational modelinhibitionobsessive-compulsive disorderParkinson diseasesignal-to-noise ratiostriatumTourette syndrome

Identifiers

PMID25505406
PMCPMC4243567

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.