Cited by 269Atomic and Subatomic Physics ResearchMagnetic Field Sensors TechniquesAdvanced MRI Techniques and Applications

On-scalp MEG system utilizing an actively shielded array of optically-pumped magnetometers

Open access
Iivanainen, Joonas, Zetter, Rasmus, Grön, Mikael, Hakkarainen, Karoliina, Parkkonen, Lauri·2019·NeuroImage

Published version of a preprint

Abstract

The spatial resolution of magnetoencephalography (MEG) can be increased from that of conventional SQUID-based systems by employing on-scalp sensor arrays of e.g. optically-pumped magnetometers (OPMs). However, OPMs reach sufficient sensitivity for neuromagnetic measurements only when operated in a very low absolute magnetic field of few nanoteslas or less, usually not reached in a typical magnetically shielded room constructed for SQUID-based MEG. Moreover, field drifts affect the calibration of OPMs. Static and dynamic suppression of interfering fields is thus necessary for good-quality neuromagnetic measurements with OPMs. Here, we describe an on-scalp MEG system that utilizes OPMs and external compensation coils that provide static and dynamic shielding against ambient fields. In a conventional two-layer magnetically shielded room, our coil system reduced the maximum remanent DC-field component within an 8-channel OPM array from 70 to less than 1 nT, enabling the sensors to operate in the sensitive spin exchange relaxation-free regime. When compensating field drifts below 4 Hz, a low-frequency shielding factor of 22 dB was achieved, which reduced the peak-to-peak drift from 1.3 to 0.4 nT and thereby the standard deviation of the sensor calibration from 1.7% to 0.5%. Without band-limiting the field that was compensated, a low-frequency shielding factor of 43 dB was achieved. We validated the system by measuring brain responses to electric stimulation of the median nerve. With dynamic shielding and digital interference suppression methods, single-trial somatosensory evoked responses could be detected. Our results advance the deployment of OPM-based on-scalp MEG in lighter magnetic shields.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2019.03.022

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • OPM-MEG experiments involving participant motion require an OPM-optimised MSR with a very low remnant magnetic field and active magnetic shielding.

    “These constraints mean that OPM-MEG experiments involving participant motion require an OPM-optimised MSR with a very low remnant magnetic field along with ‘active’ magnetic shielding”

    From Naturalistic Hyperscanning with Wearable Magnetoencephalography (2023) · cites this paper as [35]

    The Introduction says that head motion through a remanent field changes the field experienced by wearable OPM sensors, and that nulling the field reduces those changes. But the Abstract and Discussion describe operation in a conventional two-layer MSR using external compensation coils, not a requirement for an OPM-optimised MSR. The paper demonstrates benefits of active shielding for field drifts; it does not establish that active shielding is required for every experiment involving participant motion. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 31

  1. Ahlfors S, Ilmoniemi RJ, 1989 Magnetometer position indicator for multichannel MEG In: Advances in Biomagnetism. Springer, pp. 693– 696.
  2. Alem O, Mhaskar R, Jiménez-Martínez R, Sheng D, LeBlanc J, Trahms L, Sander T, Kitching J, Knappe S, 2017 Magnetic field imaging with microfabricated optically-pumped magnetometers. Optic Express 25 (7), 7849– 7858. 28380903
  3. Allred J, Lyman R, Kornack T, Romalis M, 2002 High-sensitivity atomic magnetometer unaffected by spin-exchange relaxation. Phys. Rev. Lett. 89 (13), 130801. 12225013
  4. Baillet S, 2017 Magnetoencephalography for brain electrophysiology and imaging. Nat. Neurosci. 20 (3), 327. 28230841
  5. Borna A, Carter TR, Goldberg JD, Colombo AP, Jau Y-Y, Berry C, McKay J, Stephen J, Weisend M, Schwindt PD, 2017 A 20-channel magnetoencephalography system based on optically pumped magnetometers. Phys. Med. Biol. 62 (23), 8909. 29035875 PMC5890515
  6. Boto E, Bowtell R, Krüger P, Fromhold TM, Morris PG, Meyer SS, Barnes GR, Brookes MJ, 2016 On the potential of a new generation of magnetometers for MEG: a beamformer simulation study. PLoS One 11 (8), e0157655. 27564416 PMC5001648
  7. Budker D, Romalis M, 2007 Optical magnetometry. Nat. Phys. 3 (4), 227.
  8. Cohen-Tannoudji C, Dupont-Roc J, Haroche S, Laloë F, 1970 Diverses résonances de croisement de niveaux sur des atomes pompés optiquement en champ nul. I. Théorie. Rev. Phys. Appl. 5 (1), 95– 101.
  9. Colombo AP, Carter TR, Borna A, Jau Y-Y, Johnson CN, Dagel AL, Schwindt PD, 2016 Four-channel optically pumped atomic magnetometer for magnetoencephalography. Optic Express 24 (14), 15403– 15416. PMC5025229 27410816
  10. Ditterich J, Eggert T, 2001 Improving the homogeneity of the magnetic field in the magnetic search coil technique. IEEE Trans. Biomed. Eng. 48 (10), 1178– 1185. 11585042
  11. Faley M, Dammers J, Maslennikov Y, Schneiderman J, Winkler D, Koshelets V, Shah N, Dunin-Borkowski R, 2017 High-Tc SQUID biomagnetometers. Supercond. Sci. Technol. 30 (8), 083001.
  12. Gramfort A, Luessi M, Larson E, Engemann DA, Strohmeier D, Brodbeck C, Parkkonen L, Hämäläinen MS, 2014 MNE software for processing MEG and EEG data. Neuroimage 86, 446– 460. 24161808 PMC3930851
  13. Hämäläinen M, Hari R, Ilmoniemi RJ, Knuutila J, Lounasmaa OV, 1993 Magnetoencephalography–theory, instrumentation, and applications to noninvasive studies of the working human brain. Rev. Mod. Phys. 65 (2), 413.
  14. Holmes N, Leggett J, Boto E, Roberts G, Hill RM, Tierney TM, Shah V, Barnes GR, Brookes MJ, Bowtell R, 2018 A bi-planar coil system for nulling background magnetic fields in scalp mounted magnetoencephalography. Neuroimage. PMC6150951 30031934
  15. Iivanainen J, 2016 Active Magnetic Shield for Optical Neuromagnetic Measurements. M. Sc. thesis. Aalto University.
  16. Johnson CN, Schwindt P, Weisend M, 2013 Multi-sensor magnetoencephalography with atomic magnetometers. Phys. Med. Biol. 58 (17), 6065. 23939051 PMC4030549
  17. Kauraniemi J, Laakso TI, Hartimo I, Ovaska SJ, 1998 Delta operator realizations of direct-form IIR filters. IEEE Trans. Circuits Syst. II: Analog and Digital Signal Process. 45 (1), 41– 52.
  18. Nurminen J, Taulu S, Okada Y, 2008 Effects of sensor calibration, balancing and parametrization on the signal space separation method. Phys. Med. Biol. 53 (7), 1975. 18354243
  19. Riaz B, Pfeiffer C, Schneiderman JF, 2017 Evaluation of realistic layouts for next generation on-scalp MEG: spatial information density maps. Sci. Rep. 7 (1), 6974. 28765594 PMC5539206
  20. Shah V, Romalis M, 2009 Spin-exchange relaxation-free magnetometry using elliptically polarized light. Phys. Rev. 80 (1), 013416.
  21. Sheng D, Perry AR, Krzyzewski SP, Geller S, Kitching J, Knappe S, 2017a A microfabricated optically-pumped magnetic gradiometer. Appl. Phys. Lett. 110 (3), 031106. 28179732 PMC5250637
  22. Sheng J, Wan S, Sun Y, Dou R, Guo Y, Wei K, He K, Qin J, Gao J-H, 2017b Magnetoencephalography with a Cs-based high-sensitivity compact atomic magnetometer. Rev. Sci. Instrum. 88 (9), 094304. 28964239
  23. Slocum R, Marton B, 1973 Measurement of weak magnetic fields using zero-field parametric resonance in optically pumped He 4. IEEE Trans. Magn. 9 (3), 221– 226.
  24. Taulu S, Kajola M, Simola J, 2004 Suppression of interference and artifacts by the signal space separation method. Brain Topogr. 16 (4), 269– 275. 15379226
  25. Taulu S, Simola J, 2006 Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements. Phys. Med. Biol. 51 (7), 1759. 16552102
  26. Taulu S, Simola J, Kajola M, 2005 Applications of the signal space separation method. IEEE Trans. Signal Process. 53 (9), 3359– 3372.
  27. Taulu S, Simola J, Nenonen J, Parkkonen L, 2014 Novel noise reduction methods In: Magnetoencephalography. Springer, pp. 35– 71.
  28. Tsai L, Mair R, Rosen M, Patz S, Walsworth R, 2008 An open-access, very-low-field MRI system for posture-dependent 3He human lung imaging. J. Magn. Reson. 193 (2), 274– 285. 18550402 PMC2572034
  29. Uusitalo MA, Ilmoniemi RJ, 1997 Signal-space projection method forseparating MEG or EEG into components. Med. Biol. Eng. Comput. 35 (2), 135– 140. 9136207
  30. Vesanen PT, Nieminen JO, Zevenhoven KC, Dabek J, Parkkonen LT, Zhdanov AV, Luomahaara J, Hassel J, Penttilä J, Simola J,, 2013 Hybrid ultra-low-field MRI and magnetoencephalography system based on a commercial whole-head neuromagnetometer. Magn. Reson. Med. 69 (6), 1795– 1804. 22807201
  31. Zetter R, Iivanainen J, Stenroos M, Parkkonen L, 2017 Requirements for coregistration accuracy in on-scalp MEG. Brain Topogr. 1– 18. 29934728 PMC6182446

Cited by

Sorted by citations

Authors
Iivanainen, J., Zetter, R., Grön, M., Hakkarainen, K., & Parkkonen, L.
Affiliations
Aalto University (FI)
Corresponding author
Iivanainen, Joonas
Venue
NeuroImage
Publisher
Elsevier BV
Published
2019-07
Volume
194
Pages
244-258
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2952338767
Cited by
269
References
2
Citations by year
2026: 29 · 2025: 52 · 2024: 37 · 2023: 47 · 2022: 38 · 2021: 34 · 2020: 19 · 2019: 13
FWCI
11.43
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion, cc-by-nc-nd)
  • Aaltodoc (Aalto University) (submittedVersion, cc-by-nc-nd)
Funders
  • Finnish Cultural Foundation (00170330, 00180388)
  • European Research Council under ERC (678578)
  • National Institute of Neurological Disorders and Stroke of the National Institutes of Health (R01NS094604)
Topics
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Atomic and Subatomic Physics Research
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Magnetic Field Sensors Techniques
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
optically pumped magnetometers, magnetic shielding, compensation coils, sensor calibration, somatosensory evoked potentials, median nerve stimulation
MeSH terms
Humans, Scalp, Magnetoencephalography, Neuroimaging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review