Cited by 41Ion channel regulation and functionstochastic dynamics and bifurcationNeural dynamics and brain function

Calcium-activated SK channels control firing regularity by modulating sodium channel availability in midbrain dopamine neurons

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Iyer, Rajeshwari, Ungless, Mark A., Faisal, Aldo A.·2017·Scientific Reports

Abstract

Dopamine neurons in the substantia nigra pars compacta and ventral tegmental area regulate behaviours such as reward-related learning, and motor control. Dysfunction of these neurons is implicated in Schizophrenia, addiction to drugs, and Parkinson’s disease. While some dopamine neurons fire single spikes at regular intervals, others fire irregular single spikes interspersed with bursts. Pharmacological inhibition of calcium-activated potassium (SK) channels increases the variability in their firing pattern, sometimes also increasing the number of spikes fired in bursts, indicating that SK channels play an important role in maintaining dopamine neuron firing regularity and burst firing. However, the exact mechanisms underlying these effects are still unclear. Here, we develop a biophysical model of a dopamine neuron incorporating ion channel stochasticity that enabled the analysis of availability of ion channels in multiple states during spiking. We find that decreased firing regularity is primarily due to a significant decrease in the AHP that in turn resulted in a reduction in the fraction of available voltage-gated sodium channels due to insufficient recovery from inactivation. Our model further predicts that inhibition of SK channels results in a depolarisation of action potential threshold along with an increase in its variability.

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References 104 · Cited by 41

Research works printed but not linked: 3

  1. [71]Bunney, A. A. G. a. B. S. In Psychopharmacology - 4th Generation of Progress (Raven Press, New York, New York, 1995 2000).
  2. [98]Faisal, A. A. in Computational Systems Neurobiology (ed N. Le Novere) Ch. 8, 227–257 (Springer, 2013).
  3. [108]Abbott, P. D. a. L. F. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. (The MIT Press, 2005).

Authors
Iyer, R., Ungless, M. A., & Faisal, A. A.
Affiliations
Hammersmith Hospital (GB)
Corresponding author
  • Ungless, Mark A.
  • Faisal, Aldo A.
Venue
Scientific Reports
Published
2017-07-12
Volume
7
Issue
1
Pages
5248-5248
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2731554713
Cited by
41
References
104
Citations by year
2026: 1 · 2025: 3 · 2024: 4 · 2023: 4 · 2022: 11 · 2021: 8 · 2020: 4 · 2019: 4 · 2018: 1 · 2017: 1
FWCI
1.11
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • UCL Discovery (University College London) (submittedVersion)
  • Spiral (Imperial College London) (submittedVersion, cc-by)
Funders
Medical Research Council (U120085816)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
dopaminergic neurons, burst firing, afterhyperpolarization, recovery from inactivation, biophysical neuron models, substantia nigra pars compacta, ventral tegmental area, action potential threshold
MeSH terms
Action Potentials, Animals, Calcium, Calcium Channel Agonists, Dopamine, Mesencephalon, Patch-Clamp Techniques, Potassium Channel Blockers, Small-Conductance Calcium-Activated Potassium Channels, Dopaminergic Neurons

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