Literature DB >> 35970471

Cross-Axis Dynamic Field Compensation of Optically Pumped Magnetometer Arrays for MEG.

Stephen E Robinson1, Amaia Benitez Andonegui2, Tom Holroyd2, K Jeramy Hughes3, Orang Alem3, Svenja Knappe3, Tyler Maydew4, Andreas Griesshammer4, Allison Nugent2.   

Abstract

We present dynamic field compensation (DFC), whereby three-axis field measurements from reference magnetometers are used to dynamically maintain null at the alkali vapor cells of an array of primary sensors that are proximal to a subject's scalp. Precision measurement of the magnetoencephalogram (MEG) by zero-field optically pumped magnetometer (OPM) sensors requires that sensor response is linear and sensor gain is constant over time. OPMs can be operated in open-loop mode, where the measured field is proportional to the output at the demodulated photodiode output, or in closed-loop, where on-board coils are dynamically driven to maintain the internal cell at zero field in the measurement direction. While OPMs can be operated in closed-loop mode along all three axes, this can increase sensor noise and poses engineering challenges. Uncompensated fluctuations in the ambient field along any statically nulled axes perturb the measured field by tipping the measurement axis and altering effective sensor gain - a phenomenon recently referred to as cross-axis projection error (CAPE). These errors are particularly problematic when OPMs are allowed to move in the remnant background field. Sensor gain-errors, if not mitigated, preclude precision measurements with OPMs operating in the presence of ambient field fluctuations within a typical MEG laboratory. In this manuscript, we present the cross-axis dynamic field compensation (DFC) method for maintaining zero field dynamically on all three axes of each sensor in an array of OPMs. Together, DFC and closed-loop operation strongly attenuate errors introduced by CAPE. This method was implemented by using three orthogonal reference sensors together with OPM electronics that permit driving each sensor's transverse field coils dynamically to maintain null field across its OPM measurement cell. These reference sensors can also be used for synthesizing 1st-gradient response to further reduce the effects of fluctuating ambient fields on measured brain activity and compensate for movement within a uniform field. We demonstrate that, using the DFC method, magnetic field measurement errors of less than 0.7% are easily achieved for an array of OPM sensors in the presence of ambient field perturbations of several nT.
Copyright © 2022. Published by Elsevier Inc.

Entities:  

Keywords:  Cross-axis projection error; Dynamic field compensation; Linearity; Magnetoencephalography; Optically pumped magnetometer; Synthetic gradiometer

Mesh:

Year:  2022        PMID: 35970471      PMCID: PMC9464713          DOI: 10.1016/j.neuroimage.2022.119559

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   7.400


  23 in total

1.  Reducing crosstalk in optically-pumped magnetometer arrays.

Authors:  N V Nardelli; S P Krzyzewski; S A Knappe
Journal:  Phys Med Biol       Date:  2019-11-04       Impact factor: 3.609

2.  A 7-Channel High-[Formula: see text] SQUID-Based On-Scalp MEG System.

Authors:  Christoph Pfeiffer; Silvia Ruffieux; Lars Jonsson; Maxim L Chukharkin; Alexei Kalaboukhov; Minshu Xie; Dag Winkler; Justin F Schneiderman
Journal:  IEEE Trans Biomed Eng       Date:  2019-08-30       Impact factor: 4.538

3.  Magnetoencephalography: detection of the brain's electrical activity with a superconducting magnetometer.

Authors:  D Cohen
Journal:  Science       Date:  1972-02-11       Impact factor: 47.728

4.  A new generation of magnetoencephalography: Room temperature measurements using optically-pumped magnetometers.

Authors:  Elena Boto; Sofie S Meyer; Vishal Shah; Orang Alem; Svenja Knappe; Peter Kruger; T Mark Fromhold; Mark Lim; Paul M Glover; Peter G Morris; Richard Bowtell; Gareth R Barnes; Matthew J Brookes
Journal:  Neuroimage       Date:  2017-01-25       Impact factor: 6.556

5.  Magnetospinography visualizes electrophysiological activity in the cervical spinal cord.

Authors:  Satoshi Sumiya; Shigenori Kawabata; Yuko Hoshino; Yoshiaki Adachi; Kensuke Sekihara; Shoji Tomizawa; Masaki Tomori; Senichi Ishii; Kyohei Sakaki; Dai Ukegawa; Shuta Ushio; Taishi Watanabe; Atsushi Okawa
Journal:  Sci Rep       Date:  2017-05-19       Impact factor: 4.379

6.  Balanced, bi-planar magnetic field and field gradient coils for field compensation in wearable magnetoencephalography.

Authors:  Niall Holmes; Tim M Tierney; James Leggett; Elena Boto; Stephanie Mellor; Gillian Roberts; Ryan M Hill; Vishal Shah; Gareth R Barnes; Matthew J Brookes; Richard Bowtell
Journal:  Sci Rep       Date:  2019-10-02       Impact factor: 4.379

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

Authors:  Joonas Iivanainen; Rasmus Zetter; Mikael Grön; Karoliina Hakkarainen; Lauri Parkkonen
Journal:  Neuroimage       Date:  2019-03-15       Impact factor: 6.556

8.  Magnetic Field Mapping and Correction for Moving OP-MEG.

Authors:  Stephanie Mellor; Tim M Tierney; George C OaNeill; Nicholas Alexander; Robert A Seymour; Niall Holmes; Jose D Lopez; Ryan M Hill; Elena Boto; Molly Rea; Gillian Roberts; James Leggett; Richard Bowtell; Matthew J Brookes; Eleanor A Maguire; Matthew C Walker; Gareth R Barnes
Journal:  IEEE Trans Biomed Eng       Date:  2022-01-21       Impact factor: 4.538

9.  Spatial sampling of MEG and EEG based on generalized spatial-frequency analysis and optimal design.

Authors:  Joonas Iivanainen; Antti J Mäkinen; Rasmus Zetter; Matti Stenroos; Risto J Ilmoniemi; Lauri Parkkonen
Journal:  Neuroimage       Date:  2021-11-28       Impact factor: 6.556

10.  Evaluation of realistic layouts for next generation on-scalp MEG: spatial information density maps.

Authors:  Bushra Riaz; Christoph Pfeiffer; Justin F Schneiderman
Journal:  Sci Rep       Date:  2017-08-01       Impact factor: 4.379

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