Evidence map›Paper›PMID 28177156›Full record

ArticleThe European journal of neuroscience2017

From Maxwell's equations to the theory of current-source density analysis.

Sergey L Gratiy, Geir Halnes, Daniel Denman, Michael J Hawrylycz, Christof Koch, Gaute T Einevoll, Costas A Anastassiou

Open access · hybridAbstract read
In one paragraph

Article in The European journal of neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Computing Extracellular Electric Potentials from Neuronal Simulations.Advances in experimental medicine and biology · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. EFrontiers in neuroinformatics · 2019
    Article
  12. Article
  13. Review
  14. Somatotopic Representation of Second Pain in the Primary Somatosensory Cortex of Humans and Rodents.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  15. Article
  16. 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

7 authors at 3 institutions in 3 countries.

Sergey L GratiyAllen Institute for Brain Science, Seattle, WA, 98109, USA.
Geir HalnesFaculty of Science and Technology, Norwegian University of Life Sciences, Aas, Norway.
Daniel DenmanAllen Institute for Brain Science, Seattle, WA, 98109, USA.
Michael J HawrylyczAllen Institute for Brain Science, Seattle, WA, 98109, USA.
Christof KochAllen Institute for Brain Science, Seattle, WA, 98109, USA.
Gaute T EinevollFaculty of Science and Technology, Norwegian University of Life Sciences, Aas, Norway.
Costas A AnastassiouAllen Institute for Brain Science, Seattle, WA, 98109, USA.ORCID 0000-0002-6793-0611
Allen Institute for Brain Science · USNorwegian University of Life Sciences · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the widespread use of current-source density (CSD) analysis of extracellular potential recordings in the brain, the physical mechanisms responsible for the generation of the signal are still debated. While the extracellular potential is thought to be exclusively generated by the transmembrane currents, recent studies suggest that extracellular diffusive, advective and displacement currents-traditionally neglected-may also contribute considerably toward extracellular potential recordings. Here, we first justify the application of the electro-quasistatic approximation of Maxwell's equations to describe the electromagnetic field of physiological origin. Subsequently, we perform spatial averaging of currents in neural tissue to arrive at the notion of the CSD and derive an equation relating it to the extracellular potential. We show that, in general, the extracellular potential is determined by the CSD of membrane currents as well as the gradients of the putative extracellular diffusion current. The diffusion current can contribute significantly to the extracellular potential at frequencies less than a few Hertz; in which case it must be subtracted to obtain correct CSD estimates. We also show that the advective and displacement currents in the extracellular space are negligible for physiological frequencies while, within cellular membrane, displacement current contributes toward the CSD as a capacitive current. Taken together, these findings elucidate the relationship between electric currents and the extracellular potential in brain tissue and form the necessary foundation for the analysis of extracellular recordings.

Indexed as

Models, NeurologicalAlgorithmsAnimalsBrainDiffusionElectricityElectrodes, ImplantedElectromagnetic FieldsMaleMembrane PotentialsMice, Inbred C57BLNeuronsPhotic StimulationSynaptic TransmissionVisual Perceptioncurrent transferelectrical conductivityelectrical stimulationextracellular recordingsfield potentials

Identifiers

PMID28177156
PMCPMC5413824
OpenAlexW2586305175

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.