Evidence map›Paper›PMID 18650326›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2008

Channel density distributions explain spiking variability in the globus pallidus: a combined physiology and computer simulation database approach.

Cengiz Günay, Jeremy R Edgerton, Dieter Jaeger

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

78 citing papers in PubMed.

  1. Article
  2. Temporal Variability in the Spiking Activity of Neurons in the External Globus Pallidus in Healthy and Parkinsonian Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Biophysical and Architectural Mechanisms of Subthalamic Theta under Response Conflict.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  10. Article
  11. Article
  12. BOLD Monitoring in the Neural Simulator ANNarchy.Frontiers in neuroinformatics · 2022
    Article
  13. On the Role of Arkypallidal and Prototypical Neurons for Phase Transitions in the External Pallidum.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  14. Article
  15. Article
  16. Circuit Stability to Perturbations Reveals Hidden Variability in the Balance of Intrinsic and Synaptic Conductances.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  17. Article
  18. Article
  19. Review
  20. Thinking Outside the Box (and Arrow): Current Themes in Striatal Dysfunction in Movement Disorders.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2019
    Review

18 more citing papers are in PubMed but not listed here.

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.

Cengiz GünayDepartment of Biology, Emory University, Atlanta, Georgia 30322, USA.
Jeremy R Edgerton
Dieter Jaeger

Funding

CONTROL OF SPIKING IN BASAL GANGLIA OUTPUT NEURONSR01NS039852 · NINDS · EMORY UNIVERSITY · PI JAEGER, DIETER · 2000 to 2008
$2.1M
Synaptic integration in the deep cerebellar nucleiR01MH065634 · NIMH · EMORY UNIVERSITY · PI JAEGER, DIETER · 2003 to 2007
$1.1M
NIMH NIH HHS R01 MH065634NIMH NIH HHS R01-MH065634NINDS NIH HHS R01 NS039852NINDS NIH HHS R01-NS039852
6 · The paper itself

Abstract

Globus pallidus (GP) neurons recorded in brain slices show significant variability in intrinsic electrophysiological properties. To investigate how this variability arises, we manipulated the biophysical properties of GP neurons using computer simulations. Specifically, we created a GP neuron model database with 100,602 models that had varying densities of nine membrane conductances centered on a hand-tuned model that replicated typical physiological data. To test the hypothesis that the experimentally observed variability can be attributed to variations in conductance densities, we compared our model database results to a physiology database of 146 slice recordings. The electrophysiological properties of generated models and recordings were assessed with identical current injection protocols and analyzed with a uniform set of measures, allowing a systematic analysis of the effects of varying voltage-gated and calcium-gated conductance densities on the measured properties and a detailed comparison between models and recordings. Our results indicated that most of the experimental variability could be matched by varying conductance densities, which we confirmed with additional partial block experiments. Further analysis resulted in two key observations: (1) each voltage-gated conductance had effects on multiple measures such as action potential waveform and spontaneous or stimulated spike rates; and (2) the effect of each conductance was highly dependent on the background context of other conductances present. In some cases, such interactions could reverse the effect of the density of one conductance on important excitability measures. This context dependence of conductance density effects is important to understand drug and neuromodulator effects that work by affecting ion channels.

Indexed as

Computer SimulationModels, NeurologicalAction PotentialsAnimalsAnimals, NewbornElectric ConductivityElectric StimulationGlobus PallidusIn Vitro TechniquesIon Channel GatingIon ChannelsMaleNeuronsRatsRats, Sprague-DawleyIon Channels

Identifiers

PMID18650326
PMCPMC5771640

What OpenQuestion holds

Textmetadata
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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.