Evidence map›Paper›PMID 25680520›Full record

ArticleNeuroImage2015

Invariance in current dipole moment density across brain structures and species: physiological constraint for neuroimaging.

Shingo Murakami, Yoshio Okada

Abstract read
In one paragraph

Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

29 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. [Fontanel compensation for infant electroencephalography forward modeling method].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Ideal current dipoles are appropriate source representations for simulating neurons for intracranial recordings.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 2 institutions in 2 countries.

Shingo MurakamiDivision of Molecular and Cellular Pharmacology, Department of Pharmacology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
Yoshio OkadaDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: Yoshio.Okada@childrens.harvard.edu.
Boston Children's Hospital · USOsaka University · JP

Funding

PHYSIOLOGICAL BASES OF MAGNETOENCEPHALOGRAPHYR01NS021149 · NINDS · UNIVERSITY OF NEW MEXICO · PI OKADA, YOSHIO · 1985 to 2008
$1.9M
EVALUATION OF MEG AS A CURRENT SOURCE IMAGING TECHNIQUER01NS030968 · NINDS · UNIVERSITY OF NEW MEXICO · PI OKADA, YOSHIO · 1993 to 2004
$1.3M
NINDS NIH HHS NS30968NINDS NIH HHS R01 NS021149NINDS NIH HHS R01 NS030968NINDS NIH HHS R01 NS21149
6 · The paper itself

Abstract

Although anatomical constraints have been shown to be effective for MEG and EEG inverse solutions, there are still no effective physiological constraints. Strength of the current generator is normally described by the moment of an equivalent current dipole Q. This value is quite variable since it depends on size of active tissue. In contrast, the current dipole moment density q, defined as Q per surface area of active cortex, is independent of size of active tissue. Here we studied whether the value of q has a maximum in physiological conditions across brain structures and species. We determined the value due to the primary neuronal current (q primary) alone, correcting for distortions due to measurement conditions and secondary current sources at boundaries separating regions of differing electrical conductivities. The values were in the same range for turtle cerebellum (0.56-1.48 nAm/mm(2)), guinea pig hippocampus (0.30-1.34 nAm/mm(2)), and swine neocortex (0.18-1.63 nAm/mm(2)), rat neocortex (~2.2 nAm/mm(2)), monkey neocortex (~0.40 nAm/mm(2)) and human neocortex (0.16-0.77 nAm/mm(2)). Thus, there appears to be a maximum value across the brain structures and species (1-2 nAm/mm(2)). The empirical values closely matched the theoretical values obtained with our independently validated neural network model (1.6-2.8 nAm/mm(2) for initial spike and 0.7-3.1 nAm/mm(2) for burst), indicating that the apparent invariance is not coincidental. Our model study shows that a single maximum value may exist across a wide range of brain structures and species, varying in neuron density, due to fundamental electrical properties of neurons. The maximum value of q primary may serve as an effective physiological constraint for MEG/EEG inverse solutions.

Indexed as

AnimalsCerebellumElectroencephalographyElectrophysiological PhenomenaGuinea PigsHaplorhiniHippocampusHumansMagnetoencephalographyNeocortexNeural Networks, ComputerRatsSwineTurtlesCurrent source density analysisElectroencephalographyInverse solutionMagnetoencephalographyNeural current MRINeuroenergetics

Identifiers

PMID25680520
PMCPMC4415154
OpenAlexW1974328386

What OpenQuestion holds

Textmetadata
LicenceTDM
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.