Evidence map›Paper›PMID 29357476›Full record

ArticleJournal of neurophysiology2018

Robust and tunable bursting requires slow positive feedback.

Alessio Franci, Guillaume Drion, Rodolphe Sepulchre

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact, top 100% 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

12 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Slow negative feedback enhances robustness of square-wave bursting.Journal of computational neuroscience · 2023
    Article
  6. Article
  7. Article
  8. The geometry of rest-spike bistability.Journal of mathematical neuroscience · 2020
    Article
  9. Circuit Stability to Perturbations Reveals Hidden Variability in the Balance of Intrinsic and Synaptic Conductances.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  10. Review
  11. Article
  12. 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 3 institutions in 3 countries.

Alessio FranciDepartment of Mathematics, Universidad Nacional Autónoma de México , Mexico City, Mexico.ORCID 0000-0002-3911-625X
Guillaume DrionInstitut Montefiore, Université de Liege , Liege , Belgium.
Rodolphe SepulchreDepartment of Engineering, University of Cambridge , Cambridge , United Kingdom.
Universidad Nacional Autónoma de México · MXUniversity of Cambridge · GBUniversity of Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We highlight that the robustness and tunability of a bursting model critically rely on currents that provide slow positive feedback to the membrane potential. Such currents have the ability to make the total conductance of the circuit negative in a timescale that is termed "slow" because it is intermediate between the fast timescale of the spike upstroke and the ultraslow timescale of even slower adaptation currents. We discuss how such currents can be assessed either in voltage-clamp experiments or in computational models. We show that, while frequent in the literature, mathematical and computational models of bursting that lack the slow negative conductance are fragile and rigid. Our results suggest that modeling the slow negative conductance of cellular models is important when studying the neuromodulation of rhythmic circuits at any broader scale. NEW & NOTEWORTHY Nervous system functions rely on the modulation of neuronal activity between different rhythmic patterns. The mechanisms of this modulation are still poorly understood. Using computational modeling, we show the critical role of currents that provide slow negative conductance, distinct from the fast negative conductance necessary for spike generation. The significance of the slow negative conductance for neuromodulation is often overlooked, leading to computational models that are rigid and fragile.

Indexed as

Action PotentialsFeedback, PhysiologicalModels, NeurologicalAnimalsComputer SimulationHumansNeuronsburstingfeedbackmodelingneuromodulation

Identifiers

PMID29357476
PMCPMC5899319
OpenAlexW2727360361

What OpenQuestion holds

Textmetadata
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.