Details

Autor(en) / Beteiligte

• Rea, Molly
• Holmes, Niall
• Hill, Ryan M.
• Boto, Elena
• Leggett, James
• Edwards, Lucy J.
• Woolger, David
• Dawson, Eliot
• Shah, Vishal
• Osborne, James
• Bowtell, Richard
• Brookes, Matthew J.

Titel

Precision magnetic field modelling and control for wearable magnetoencephalography

Ist Teil von

• NeuroImage (Orlando, Fla.), 2021-11, Vol.241, p.118401-118401, Article 118401

Ort / Verlag

Amsterdam: Elsevier Inc

Erscheinungsjahr

2021

Link zum Volltext

Quelle

Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals

Beschreibungen/Notizen

• •OPMs offer a step change for MEG, but rely on controlled magnetic field environments.•Here, optical tracking is combined with magnetometer data to create precision field maps.•Field maps are used to inform optimal currents in magnetic field cancellation coils.•The remnant static magnetic field experienced by the OPMs is reduced to 0.29 nT.•Motion artefact in OPM-MEG data is reduced by a factor of 5 via field nulling. Optically-pumped magnetometers (OPMs) are highly sensitive, compact magnetic field sensors, which offer a viable alternative to cryogenic sensors (superconducting quantum interference devices – SQUIDs) for magnetoencephalography (MEG). With the promise of a wearable system that offers lifespan compliance, enables movement during scanning, and provides higher quality data, OPMs could drive a step change in MEG instrumentation. However, this potential can only be realised if background magnetic fields are appropriately controlled, via a combination of optimised passive magnetic screening (i.e. enclosing the system in layers of high-permeability materials), and electromagnetic coils to further null the remnant magnetic field. In this work, we show that even in an OPM-optimised passive shield with extremely low (<2 nT) remnant magnetic field, head movement generates significant artefacts in MEG data that manifest as low-frequency interference. To counter this effect we introduce a magnetic field mapping technique, in which the participant moves their head to sample the background magnetic field using a wearable sensor array; resulting data are compared to a model to derive coefficients representing three uniform magnetic field components and five magnetic field gradient components inside the passive shield. We show that this technique accurately reconstructs the magnitude of known magnetic fields. Moreover, by feeding the obtained coefficients into a bi-planar electromagnetic coil system, we were able to reduce the uniform magnetic field experienced by the array from a magnitude of 1.3±0.3 nT to 0.29±0.07 nT. Most importantly, we show that this field compensation generates a five-fold reduction in motion artefact at 0‒2 Hz, in a visual steady-state evoked response experiment using 6 Hz stimulation. We suggest that this technique could be used in future OPM-MEG experiments to improve the quality of data, especially in paradigms seeking to measure low-frequency oscillations, or in experiments where head movement is encouraged.