Evidence map›Paper›PMID 29934728›Full record

ArticleBrain topography2018

Requirements for Coregistration Accuracy in On-Scalp MEG.

Rasmus Zetter, Joonas Iivanainen, Matti Stenroos, Lauri Parkkonen

Open access · hybridAbstract read
In one paragraph

Article in Brain topography, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Spatial-Jitter Model for Magnetoencephalography Sensor Arrays.IEEE transactions on medical imaging · 2026
    Article
  3. Article
  4. Determining sensor geometry and gain in a wearable MEG system.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. OMMR: Co-registration toolbox of OPM-MEG and MRI.Frontiers in neuroscience · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

4 authors at 1 institution in 1 country.

Rasmus ZetterDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, 00076, Aalto, Finland. rasmus.zetter@aalto.fi.ORCID 0000-0002-5331-2521
Joonas IivanainenDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, 00076, Aalto, Finland.ORCID 0000-0001-6034-4604
Matti StenroosDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, 00076, Aalto, Finland.
Lauri ParkkonenDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, 00076, Aalto, Finland.
Aalto University · FI

Funding

A Room Temperature Atomic Magnetrode System for Telemetry of Epileptic SeizuresR01NS094604 · NINDS · UNIVERSITY OF COLORADO · PI BARTH, DANIEL S., KNAPPE, SVENJA · 2015 to 2019
$2.5M
NINDS NIH HHS R01 NS094604
6 · The paper itself

Abstract

Recent advances in magnetic sensing has made on-scalp magnetoencephalography (MEG) possible. In particular, optically-pumped magnetometers (OPMs) have reached sensitivity levels that enable their use in MEG. In contrast to the SQUID sensors used in current MEG systems, OPMs do not require cryogenic cooling and can thus be placed within millimetres from the head, enabling the construction of sensor arrays that conform to the shape of an individual's head. To properly estimate the location of neural sources within the brain, one must accurately know the position and orientation of sensors in relation to the head. With the adaptable on-scalp MEG sensor arrays, this coregistration becomes more challenging than in current SQUID-based MEG systems that use rigid sensor arrays. Here, we used simulations to quantify how accurately one needs to know the position and orientation of sensors in an on-scalp MEG system. The effects that different types of localisation errors have on forward modelling and source estimates obtained by minimum-norm estimation, dipole fitting, and beamforming are detailed. We found that sensor position errors generally have a larger effect than orientation errors and that these errors affect the localisation accuracy of superficial sources the most. To obtain similar or higher accuracy than with current SQUID-based MEG systems, RMS sensor position and orientation errors should be [Formula: see text] and [Formula: see text], respectively.

Indexed as

BrainBrain MappingHumansMagnetoencephalographyScalpCoregistrationMagnetoencephalographyOptically-pumped magnetometer

Identifiers

PMID29934728
PMCPMC6182446
OpenAlexW2949224319

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.