Evidence map›Paper›PMID 29522509›Full record

ArticlePLoS computational biology2018

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

Sarah Jarvis, Konstantin Nikolic, Simon R Schultz

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Optogenetic Stimulation Recruits Cortical Neurons in a Morphology-Dependent Manner.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  3. Article
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  5. Article
  6. Review
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  8. The Input-Output Relation of Primary Nociceptive Neurons is Determined by the Morphology of the Peripheral Nociceptive Terminals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  9. Review
  10. Article
  11. Mechanisms underlying gain modulation in the cortex.Nature reviews. Neuroscience · 2020
    Review
  12. Article
  13. Article
  14. Article
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 at 2 institutions in 1 country.

Sarah JarvisCentre for Neurotechnology and Department of Bioengineering, Imperial College London, London, United Kingdom.
Konstantin NikolicCentre for Bio-Inspired Technology and Department of Electrical & Electronic Engineering, Imperial College London, London, United Kingdom.
Simon R SchultzCentre for Neurotechnology and Department of Bioengineering, Imperial College London, London, United Kingdom.ORCID 0000-0002-6794-5813
London Centre for Nanotechnology · GBImperial College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/K001817/1Biotechnology and Biological Sciences Research Council BB/L018268/1Wellcome Trust
6 · The paper itself

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.

Indexed as

Computational BiologyComputer SimulationDendritesKineticsModels, NeurologicalNeuronsOpsinsOptogeneticsPyramidal CellsSynapsesOpsins

Identifiers

PMID29522509
PMCPMC5862493
OpenAlexW2950200460

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.