Evidence map›Paper›PMID 28266594›Full record

ArticleScientific reports2017

Autaptic Connections Shift Network Excitability and Bursting.

Laura Wiles, Shi Gu, Fabio Pasqualetti, Brandon Parvesse, David Gabrieli, Danielle S Bassett, David F Meaney

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Functional Brain Controllability Alterations in Stroke.Frontiers in bioengineering and biotechnology · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Neuronal Degeneration Impairs Rhythms Between Connected Microcircuits.Frontiers in computational neuroscience · 2020
    Article
  8. Autaptic Cultures: Methods and Applications.Frontiers in synaptic neuroscience · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Generative models for network neuroscience: prospects and promise.Journal of the Royal Society, Interface · 2017
    Review
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

7 authors.

Laura WilesDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.
Shi GuDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.
Fabio PasqualettiDepartment of Mechanical Engineering, University of California Riverside, CA, USA.
Brandon ParvesseDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.
David GabrieliDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.
Danielle S BassettDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.
David F MeaneyDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

Mechanisms of remodeling circuit connectivity after traumatic brain injuryR01NS088176 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI MEANEY, DAVID F · 2015 to 2018
$1.4M
Role of brain mechanosensors on outcome after traumatic brain injuryR21NS093293 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI MEANEY, DAVID F · 2015 to 2016
$440k
Mechanisms of remodeling circuit connectivity after traumatic brain injuryR56NS088176 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI MEANEY, DAVID F · 2014 to 2014
$400k
NINDS NIH HHS R01 NS088176NINDS NIH HHS R21 NS093293NINDS NIH HHS R56 NS088176
6 · The paper itself

Abstract

We examine the role of structural autapses, when a neuron synapses onto itself, in driving network-wide bursting behavior. Using a simple spiking model of neuronal activity, we study how autaptic connections affect activity patterns, and evaluate if controllability significantly affects changes in bursting from autaptic connections. Adding more autaptic connections to excitatory neurons increased the number of spiking events and the number of network-wide bursts. We observed excitatory synapses contributed more to bursting behavior than inhibitory synapses. We evaluated if neurons with high average controllability, predicted to push the network into easily achievable states, affected bursting behavior differently than neurons with high modal controllability, thought to influence the network into difficult to reach states. Results show autaptic connections to excitatory neurons with high average controllability led to higher burst frequencies than adding the same number of self-looping connections to neurons with high modal controllability. The number of autapses required to induce bursting was lowered by adding autapses to high degree excitatory neurons. These results suggest a role of autaptic connections in controlling network-wide bursts in diverse cortical and subcortical regions of mammalian brain. Moreover, they open up new avenues for the study of dynamic neurophysiological correlates of structural controllability.

Indexed as

Action PotentialsSynaptic TransmissionComputer SimulationModels, NeurologicalNeurons

Identifiers

PMID28266594
PMCPMC5339801

What OpenQuestion holds

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Registered trials

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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.