Evidence map›Paper›PMID 20300651›Full record

ArticlePLoS computational biology2010

Neocortical axon arbors trade-off material and conduction delay conservation.

Julian M L Budd, Krisztina Kovács, Alex S Ferecskó, Péter Buzás, Ulf T Eysel, Zoltán F Kisvárday

Abstract read
In one paragraph

Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

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0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

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  12. Digital Reconstruction of the Neuro-Glia-Vascular Architecture.Cerebral cortex (New York, N.Y. : 1991) · 2021
    Article
  13. Article
  14. A Statistical Growth Property of Plant Root Architectures.Plant phenomics (Washington, D.C.) · 2020
    Article
  15. Article
  16. Article
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  18. Neural arbors are Pareto optimal.Proceedings. Biological sciences · 2019
    Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Julian M L BuddSchool of Informatics, University of Sussex, Brighton, United Kingdom. j.m.l.budd@susx.ac.uk
Krisztina Kovács
Alex S Ferecskó
Péter Buzás
Ulf T Eysel
Zoltán F Kisvárday

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The brain contains a complex network of axons rapidly communicating information between billions of synaptically connected neurons. The morphology of individual axons, therefore, defines the course of information flow within the brain. More than a century ago, Ramón y Cajal proposed that conservation laws to save material (wire) length and limit conduction delay regulate the design of individual axon arbors in cerebral cortex. Yet the spatial and temporal communication costs of single neocortical axons remain undefined. Here, using reconstructions of in vivo labelled excitatory spiny cell and inhibitory basket cell intracortical axons combined with a variety of graph optimization algorithms, we empirically investigated Cajal's conservation laws in cerebral cortex for whole three-dimensional (3D) axon arbors, to our knowledge the first study of its kind. We found intracortical axons were significantly longer than optimal. The temporal cost of cortical axons was also suboptimal though far superior to wire-minimized arbors. We discovered that cortical axon branching appears to promote a low temporal dispersion of axonal latencies and a tight relationship between cortical distance and axonal latency. In addition, inhibitory basket cell axonal latencies may occur within a much narrower temporal window than excitatory spiny cell axons, which may help boost signal detection. Thus, to optimize neuronal network communication we find that a modest excess of axonal wire is traded-off to enhance arbor temporal economy and precision. Our results offer insight into the principles of brain organization and communication in and development of grey matter, where temporal precision is a crucial prerequisite for coincidence detection, synchronization and rapid network oscillations.

Indexed as

Models, AnatomicModels, NeurologicalAnimalsAxonsHumansNeocortexNerve NetNeural ConductionReaction TimeSynaptic Transmission

Identifiers

PMID20300651
PMCPMC2837396

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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.