Evidence map›Paper›PMID 20396983›Full record

ReviewCerebellum (London, England)2010

Rebound discharge in deep cerebellar nuclear neurons in vitro.

Reza Tadayonnejad, Dustin Anderson, Michael L Molineux, W Hamish Mehaffey, Kusala Jayasuriya, Ray W Turner

Open access · hybridAbstract readReview
In one paragraph

Review in Cerebellum (London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  7. Article
  8. The Cerebro-Cerebellum as a Locus of Forward Model: A Review.Frontiers in systems neuroscience · 2020
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Modeling the generation of output by the cerebellar nuclei.Neural networks : the official journal of the International Neural Network Society · 2013
    Review
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 1 institution in 1 country.

Reza TadayonnejadDepartment of Cell Biology & Anatomy, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada T2N 4N1.
Dustin Anderson
Michael L Molineux
W Hamish Mehaffey
Kusala Jayasuriya
Ray W Turner
University of Calgary · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Neurons of the deep cerebellar nuclei (DCN) play a critical role in defining the output of cerebellum in the course of encoding Purkinje cell inhibitory inputs. The earliest work performed with in vitro preparations established that DCN cells have the capacity to translate membrane hyperpolarizations into a rebound increase in firing frequency. The primary means of distinguishing between DCN neurons has been according to cell size and transmitter phenotype, but in some cases, differences in the firing properties of DCN cells maintained in vitro have been reported. In particular, it was shown that large diameter cells in the rat DCN exhibit two phenotypes of rebound discharge in vitro that may eventually help define their functional roles in cerebellar output. A transient burst and weak burst phenotype can be distinguished based on the frequency and pattern of rebound discharge immediately following a hyperpolarizing stimulus. Work to date indicates that the difference in excitability arises from at least the degree of activation of T-type Ca(2+) current during the immediate phase of rebound firing and Ca(2+)-dependent K(+) channels that underlie afterhyperpolarizations. Both phenotypes can be detected following stimulation of Purkinje cell inhibitory inputs under conditions that preserve resting membrane potential and natural ionic gradients. In this paper, we review the evidence supporting the existence of different rebound phenotypes in DCN cells and the ion channel expression patterns that underlie their generation.

Indexed as

AnimalsCalcium Channels, T-TypeCerebellar NucleiIn Vitro TechniquesMembrane PotentialsNeuronsPhenotypeRatsRats, Sprague-DawleyCalcium Channels, T-Type

Identifiers

PMID20396983
PMCPMC2949560
OpenAlexW1985203336

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.