Evidence map›Paper›PMID 34873945›Full record

ReviewThe Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry2023

Bioelectromagnetism in Human Brain Research: New Applications, New Questions.

Joachim Gross, Markus Junghöfer, Carsten Wolters

Abstract readReview
In one paragraph

Review in The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. A survey on integral equations for bioelectric modeling.Physics in medicine and biology · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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.

Joachim GrossInstitute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany.ORCID 0000-0002-3994-1006
Markus JunghöferInstitute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany.
Carsten WoltersInstitute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany.ORCID 0000-0001-6233-424X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioelectromagnetism has contributed some of the most commonly used techniques to human neuroscience such as magnetoencephalography (MEG), electroencephalography (EEG), transcranial magnetic stimulation (TMS), and transcranial electric stimulation (TES). The considerable differences in their technical design and practical use give rise to the impression that these are quite different techniques altogether. Here, we review, discuss and illustrate the fundamental principle of Helmholtz reciprocity that provides a common ground for all four techniques. We show that, more than 150 years after its discovery by Helmholtz in 1853, reciprocity is important to appreciate the strengths and limitations of these four classical tools in neuroscience. We build this case by explaining the concept of Helmholtz reciprocity, presenting a methodological account of this principle for all four methods and, finally, by illustrating its application in practical clinical studies.

Indexed as

BrainTranscranial Magnetic StimulationBrain MappingElectroencephalographyHumansMagnetoencephalographyBioelectromagnetismEEGelectroencephalographyelectrophysiologyHelmholtz reciprocitymagnetoencephalographyMEGneurostimulationTESTMS

Identifiers

PMID34873945
PMCPMC9902961

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.