Cited by 28Neuroscience and Neuropharmacology ResearchNeural dynamics and brain functionPhotoreceptor and optogenetics research

Neuronal gain modulability is determined by dendritic morphology: A computational optogenetic study

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Jarvis, Sarah, Nikolic, Konstantin, Schultz, Simon R.·2018·PLOS Computational Biology

Published version of a preprint

Abstract

The mechanisms by which the gain of the neuronal input-output function may be modulated have been the subject of much investigation. However, little is known of the role of dendrites in neuronal gain control. New optogenetic experimental paradigms based on spatial profiles or patterns of light stimulation offer the prospect of elucidating many aspects of single cell function, including the role of dendrites in gain control. We thus developed a model to investigate how competing excitatory and inhibitory input within the dendritic arbor alters neuronal gain, incorporating kinetic models of opsins into our modeling to ensure it is experimentally testable. To investigate how different topologies of the neuronal dendritic tree affect the neuron's input-output characteristics we generate branching geometries which replicate morphological features of most common neurons, but keep the number of branches and overall area of dendrites approximately constant. We found a relationship between a neuron's gain modulability and its dendritic morphology, with neurons with bipolar dendrites with a moderate degree of branching being most receptive to control of the gain of their input-output relationship. The theory was then tested and confirmed on two examples of realistic neurons: 1) layer V pyramidal cells-confirming their role in neural circuits as a regulator of the gain in the circuit in addition to acting as the primary excitatory neurons, and 2) stellate cells. In addition to providing testable predictions and a novel application of dual-opsins, our model suggests that innervation of all dendritic subdomains is required for full gain modulation, revealing the importance of dendritic targeting in the generation of neuronal gain control and the functions that it subserves. Finally, our study also demonstrates that neurophysiological investigations which use direct current injection into the soma and bypass the dendrites may miss some important neuronal functions, such as gain modulation.

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Crossref · 10.1371/journal.pcbi.1006027

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  • Morphological features of dendrites regulate the extent to which gain control of individual neurons is possible, with moderate branching in pyramidal neurons potentially promoting the greatest possible range of gain modulation.

    “In addition, morphological features of the dendrites regulate the extent to which gain control of individual neurons is possible, with moderate branching in pyramidal neurons potentially promoting the greatest possible range of gain modulation96.”

    From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [96]

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Research works printed but not linked: 2

  1. [36]Mel BW. Why Have Dendrites? A Computational Perspective In: Stuart G, Spruston N, Häusser M, editors. Dendrites. Oxford University Press; 1999 p. 271– 289.
  2. [51]Evans B, Jarvis S, Schultz SR, Nikolic K. PyRHO: Computational optogenetics. Frontiers in Neuroinformatics. 2016; 10: 8. 27148037 PMC4834562

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Authors
Jarvis, S., Nikolic, K., & Schultz, S. R.
Affiliations
Imperial College London (GB)
Corresponding author
  • Jarvis, Sarah
  • Schultz, Simon R.
Venue
PLOS Computational Biology
Published
2018-03-09
Volume
14
Issue
3
Pages
e1006027
ISSN
  • 1553-734X (ISSN-L)
  • 1553-7358
OpenAlex
W2950200460
Cited by
28
References
55
Citations by year
2026: 1 · 2025: 4 · 2024: 3 · 2023: 2 · 2022: 1 · 2021: 6 · 2020: 5 · 2019: 5 · 2018: 1
FWCI
1.92
Type
journal article
Language
en
Open access
Locations
  • PLoS Computational Biology (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UWL Repository (University of West London) (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
  • Spiral (Imperial College London) (submittedVersion)
Funders
  • H2020 Marie Skłodowska-Curie Actions (628086)
  • Biotechnology and Biological Sciences Research Council (BB/L018268/1, BB/K001817/1)
  • Engineering and Physical Sciences Research Council (EP/N002474/1)
  • European Research Council (319818)
  • Wellcome Trust (ISSF)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Photoreceptor and optogenetics research
Keywords
dendritic morphology, dendritic branching, input-output function, optogenetics, excitatory and inhibitory inputs, layer 5 pyramidal neurons, stellate cells, dendritic targeting, computational neuron model
MeSH terms
Computer Simulation, Dendrites, Kinetics, Models, Neurological, Neurons, Synapses, Pyramidal Cells, Computational Biology, Opsins, Optogenetics

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