Evidence map›Paper›PMID 30952810›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2019

Single-Cell Membrane Potential Fluctuations Evince Network Scale-Freeness and Quasicriticality.

James K Johnson, Nathaniel C Wright, Jì Xià, Ralf Wessel

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% 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, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Power Laws in Empirical Eigenvalue Spectra.Entropy (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. The fractal brain: scale-invariance in structure and dynamics.Cerebral cortex (New York, N.Y. : 1991) · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Temporal Signatures of Criticality in Human Cortical Excitability as Probed by Early Somatosensory Responses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  13. Article
  14. Long-range temporal correlations in scale-free neuromorphic networks.Network neuroscience (Cambridge, Mass.) · 2020
    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

4 authors at 1 institution in 1 country.

James K JohnsonDepartment of Physics, Washington University, St. Louis, Missouri 63130 jkjohnson@wustl.edu.ORCID 0000-0003-4014-3244
Nathaniel C WrightDepartment of Physics, Washington University, St. Louis, Missouri 63130.ORCID 0000-0001-7135-6977
Jì XiàDepartment of Physics, Washington University, St. Louis, Missouri 63130.ORCID 0000-0003-1349-9114
Ralf WesselDepartment of Physics, Washington University, St. Louis, Missouri 63130.
Washington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What information single neurons receive about general neural circuit activity is a fundamental question for neuroscience. Somatic membrane potential (

Indexed as

AlgorithmsAnimalsElectrophysiological PhenomenaMembrane PotentialsMicroelectrodesModels, NeurologicalNerve NetNeuronsPatch-Clamp TechniquesPyramidal CellsSingle-Cell AnalysisTurtlesVisual Cortexbalanced networksmembrane potentialneural computationneuronal avalanchesrenormalization groupscale-free

Identifiers

PMID30952810
PMCPMC6561693
OpenAlexW2903629288

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.