Evidence map›Paper›PMID 21808608›Full record

ArticleFrontiers in systems neuroscience2011

Striatal fast-spiking interneurons: from firing patterns to postsynaptic impact.

Andreas Klaus, Henrike Planert, J J Johannes Hjorth, Joshua D Berke, Gilad Silberberg, Jeanette Hellgren Kotaleski

Open access · goldAbstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

22 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. 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
  3. Article
  4. Review
  5. Differential Alteration in Expression of Striatal GABAFrontiers in molecular neuroscience · 2017
    Article
  6. Article
  7. Article
  8. Npas1+ Pallidal Neurons Target Striatal Projection Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Article
  9. Article
  10. Article
  11. Are striatal tyrosine hydroxylase interneurons dopaminergic?The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    Article
  12. Therapeutic mechanisms of high-frequency stimulation in Parkinson's disease and neural restoration via loop-based reinforcement.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  13. Article
  14. Article
  15. Article
  16. Target selectivity of feedforward inhibition by striatal fast-spiking interneurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    Article
  17. Article
  18. Article
  19. Article
  20. Functional properties of striatal fast-spiking interneurons.Frontiers in systems neuroscience · 2011
    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

6 authors at 3 institutions in 2 countries.

Andreas KlausNobel Institute for Neurophysiology, Department of Neuroscience, Karolinska Institute Stockholm, Sweden.
Henrike Planert
J J Johannes Hjorth
Joshua D Berke
Gilad Silberberg
Jeanette Hellgren Kotaleski
Allen Institute for Brain Science · USKarolinska Institutet · SEUniversity of Michigan · US

Funding

Reinforcement Learning and Striatal Patch/Matrix ArchitectureR21DA032259 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BERKE, JOSHUA D · 2011 to 2012
$378k
NIDA NIH HHS R21 DA032259
6 · The paper itself

Abstract

In the striatal microcircuit, fast-spiking (FS) interneurons have an important role in mediating inhibition onto neighboring medium spiny (MS) projection neurons. In this study, we combined computational modeling with in vitro and in vivo electrophysiological measurements to investigate FS cells in terms of their discharge properties and their synaptic efficacies onto MS neurons. In vivo firing of striatal FS interneurons is characterized by a high firing variability. It is not known, however, if this variability results from the input that FS cells receive, or if it is promoted by the stuttering spike behavior of these neurons. Both our model and measurements in vitro show that FS neurons that exhibit random stuttering discharge in response to steady depolarization do not show the typical stuttering behavior when they receive fluctuating input. Importantly, our model predicts that electrically coupled FS cells show substantial spike synchronization only when they are in the stuttering regime. Therefore, together with the lack of synchronized firing of striatal FS interneurons that has been reported in vivo, these results suggest that neighboring FS neurons are not in the stuttering regime simultaneously and that in vivo FS firing variability is more likely determined by the input fluctuations. Furthermore, the variability in FS firing is translated to variability in the postsynaptic amplitudes in MS neurons due to the strong synaptic depression of the FS-to-MS synapse. Our results support the idea that these synapses operate over a wide range from strongly depressed to almost fully recovered. The strong inhibitory effects that FS cells can impose on their postsynaptic targets, and the fact that the FS-to-MS synapse model showed substantial depression over extended periods of time might indicate the importance of cooperative effects of multiple presynaptic FS interneurons and the precise orchestration of their activity.

Indexed as

cortexmedium spiny projection neuronparvalbumin-positive interneuronstuttering dischargesynaptic depression

Identifiers

PMID21808608
PMCPMC3139213
OpenAlexW2102781841

What OpenQuestion holds

Textmetadata
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.