Evidence map›Paper›PMID 25185810›Full record

ArticleJournal of neurophysiology2014

Mathematical analysis of depolarization block mediated by slow inactivation of fast sodium channels in midbrain dopamine neurons.

Kun Qian, Na Yu, Kristal R Tucker, Edwin S Levitan, Carmen C Canavier

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

28 citing papers in PubMed, 34 citations in OpenAlex.

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  6. Observing hidden neuronal states in experiments.PLoS computational biology · 2025
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  18. Disrupting Epileptiform Activity by Preventing Parvalbumin Interneuron Depolarization Block.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
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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 3 institutions in 1 country.

Kun QianDepartment of Cell Biology and Anatomy, Louisiana State University School of Medicine, New Orleans, Louisiana; Neuroscience Center of Excellence, Louisiana State University School of Medicine, New Orleans, Louisiana; and.
Na YuDepartment of Cell Biology and Anatomy, Louisiana State University School of Medicine, New Orleans, Louisiana;
Kristal R TuckerDepartment of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Edwin S LevitanDepartment of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Carmen C CanavierDepartment of Cell Biology and Anatomy, Louisiana State University School of Medicine, New Orleans, Louisiana; Neuroscience Center of Excellence, Louisiana State University School of Medicine, New Orleans, Louisiana; and ccanav@lsuhsc.edu.
Louisiana State University Health Sciences Center New Orleans · USUniversity of Pittsburgh · USLouisiana State University · US

Funding

Multiphoton ConfocalP30GM103340 · NIGMS · LSU HEALTH SCIENCES CENTER · PI HONG, SONG · 2012 to 2016
$5.1M
Intrinsic currents modulate synaptic integration in dopamine neuronsR01NS061097 · NINDS · LSU HEALTH SCIENCES CENTER · PI CANAVIER, CARMEN CASTRO · 2009 to 2013
$1.7M
Dynamic Clamp Study of Calcium Channels in Nigral Dopamine NeuronsF32NS078994 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TUCKER, KRISTAL RAYLONE · 2012 to 2014
$156k
NIGMS NIH HHS P30 GM-103340NIGMS NIH HHS P30 GM103340NINDS NIH HHS F32 NS-078994NINDS NIH HHS R01 NS-061097NINDS NIH HHS R01 NS061097
6 · The paper itself

Abstract

Dopamine neurons in freely moving rats often fire behaviorally relevant high-frequency bursts, but depolarization block limits the maximum steady firing rate of dopamine neurons in vitro to ∼10 Hz. Using a reduced model that faithfully reproduces the sodium current measured in these neurons, we show that adding an additional slow component of sodium channel inactivation, recently observed in these neurons, qualitatively changes in two different ways how the model enters into depolarization block. First, the slow time course of inactivation allows multiple spikes to be elicited during a strong depolarization prior to entry into depolarization block. Second, depolarization block occurs near or below the spike threshold, which ranges from -45 to -30 mV in vitro, because the additional slow component of inactivation negates the sodium window current. In the absence of the additional slow component of inactivation, this window current produces an N-shaped steady-state current-voltage (I-V) curve that prevents depolarization block in the experimentally observed voltage range near -40 mV. The time constant of recovery from slow inactivation during the interspike interval limits the maximum steady firing rate observed prior to entry into depolarization block. These qualitative features of the entry into depolarization block can be reversed experimentally by replacing the native sodium conductance with a virtual conductance lacking the slow component of inactivation. We show that the activation of NMDA and AMPA receptors can affect bursting and depolarization block in different ways, depending upon their relative contributions to depolarization versus to the total linear/nonlinear conductance.

Indexed as

Membrane PotentialsModels, NeurologicalAction PotentialsAnimalsDopaminergic NeuronsMaleMesencephalonRatsRats, Sprague-DawleyReceptors, AMPAReceptors, N-Methyl-D-AspartateVoltage-Gated Sodium ChannelsReceptors, AMPAReceptors, N-Methyl-D-AspartateVoltage-Gated Sodium Channelsburstingdepolarization blocksubstantia nigra

Identifiers

PMID25185810
PMCPMC4254877
OpenAlexW2324171895

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.