Evidence map›Paper›PMID 32701953›Full record

ArticlePLoS computational biology2020

The location of the axon initial segment affects the bandwidth of spike initiation dynamics.

Christophe Verbist, Michael G Müller, Huibert D Mansvelder, Robert Legenstein, Michele Giugliano

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Dynamic Gain Decomposition Reveals Functional Effects of Dendrites, Ion Channels, and Input Statistics in Population Coding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Brief Sensory Deprivation Triggers Cell Type-Specific Structural and Functional Plasticity in Olfactory Bulb Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    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

5 authors at 4 institutions in 4 countries.

Christophe VerbistMolecular, Cellular, and Network Excitability Laboratory, Institute Born-Bunge and Department of Biomedical Sciences, Universiteit Antwerpen, Wilrijk, Belgium.ORCID 0000-0002-3379-7867
Michael G MüllerInstitute of Theoretical Computer Science, Graz University of Technology, Graz, Austria.ORCID 0000-0001-7025-5090
Huibert D MansvelderDepartment of Integrative Neurophysiology, Amsterdam Neuroscience, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-1365-5340
Robert LegensteinInstitute of Theoretical Computer Science, Graz University of Technology, Graz, Austria.ORCID 0000-0002-8724-5507
Michele GiuglianoMolecular, Cellular, and Network Excitability Laboratory, Institute Born-Bunge and Department of Biomedical Sciences, Universiteit Antwerpen, Wilrijk, Belgium.ORCID 0000-0003-2626-594X
Graz University of Technology · ATAmsterdam Neuroscience · NLScuola Internazionale Superiore di Studi Avanzati · ITUniversity of Antwerp · BE

Funding

Austrian Science Fund FWF I 3251
6 · The paper itself

Abstract

The dynamics and the sharp onset of action potential (AP) generation have recently been the subject of intense experimental and theoretical investigations. According to the resistive coupling theory, an electrotonic interplay between the site of AP initiation in the axon and the somato-dendritic load determines the AP waveform. This phenomenon not only alters the shape of APs recorded at the soma, but also determines the dynamics of excitability across a variety of time scales. Supporting this statement, here we generalize a previous numerical study and extend it to the quantification of the input-output gain of the neuronal dynamical response. We consider three classes of multicompartmental mathematical models, ranging from ball-and-stick simplified descriptions of neuronal excitability to 3D-reconstructed biophysical models of excitatory neurons of rodent and human cortical tissue. For each model, we demonstrate that increasing the distance between the axonal site of AP initiation and the soma markedly increases the bandwidth of neuronal response properties. We finally consider the Liquid State Machine paradigm, exploring the impact of altering the site of AP initiation at the level of a neuronal population, and demonstrate that an optimal distance exists to boost the computational performance of the network in a simple classification task.

Indexed as

Action PotentialsAlgorithmsAnimalsAxon Initial SegmentAxonsCerebral CortexComputational BiologyComputer SimulationDendritesHumansImaging, Three-DimensionalLinear ModelsMachine LearningModels, NeurologicalNeocortexNeuronsPotassium Channels

Identifiers

PMID32701953
PMCPMC7402515
OpenAlexW3045114781

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.