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

ABSTRACT Advances in the field of quantum sensing mean that magnetic field sensors, operating at room temperature, are now able to achieve sensitivity similar to that of cryogenically cooled devices (SQUIDs). This means that room temperature magnetoencephalography (MEG), with a greatly increased flexibility of sensor placement can now be considered. Further, these new sensors can be placed directly on the scalp surface giving, theoretically, a large increase in the magnitude of the measured signal. Here, we present recordings made using a single optically‐pumped magnetometer (OPM) in combination with a 3D‐printed head‐cast designed to accurately locate and orient the sensor relative to brain anatomy. Since our OPM is configured as a magnetometer it is highly sensitive to environmental interference. However, we show that this problem can be ameliorated via the use of simultaneous reference sensor recordings. Using median nerve stimulation, we show that the OPM can detect both evoked (phase‐locked) and induced (non‐phase‐locked oscillatory) changes when placed over sensory cortex, with signals ˜4 times larger than equivalent SQUID measurements. Using source modelling, we show that our system allows localisation of the evoked response to somatosensory cortex. Further, source‐space modelling shows that, with 13 sequential OPM measurements, source‐space signal‐to‐noise ratio (SNR) is comparable to that from a 271‐channel SQUID system. Our results highlight the opportunity presented by OPMs to generate uncooled, potentially low‐cost, high SNR MEG systems.

[1]  Mark W. Woolrich,et al.  Dynamic recruitment of resting state sub-networks , 2015, NeuroImage.

[2]  Alfred Kastler,et al.  The Hanle effect and its use for the measurements of very small magnetic fields , 1973 .

[3]  Matthew J. Brookes,et al.  Relating BOLD fMRI and neural oscillations through convolution and optimal linear weighting , 2010, NeuroImage.

[4]  M. Weisend,et al.  Magnetoencephalography with a two color pump-probe fiber-coupled atomic magnetometer. , 2010 .

[5]  Natsuhiko Mizutani,et al.  Human magnetoencephalogram measurements using newly developed compact module of high-sensitivity atomic magnetometer , 2015 .

[6]  L. Trahms,et al.  Magnetoencephalography with a chip-scale atomic magnetometer , 2012, Biomedical optics express.

[7]  Jacob M. Taylor,et al.  High-sensitivity diamond magnetometer with nanoscale resolution , 2008, 0805.1367.

[8]  J. Vrba Magnetoencephalography: the art of finding a needle in a haystack , 2002 .

[9]  D. Cohen Magnetoencephalography: Detection of the Brain's Electrical Activity with a Superconducting Magnetometer , 1972, Science.

[10]  A A Fife,et al.  Biomagnetometers for unshielded and well shielded environments. , 1991, Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics.

[11]  G. Christoffersen,et al.  Habituation: Events in the history of its characterization and linkage to synaptic depression. A new proposed kinetic criterion for its identification , 1997, Progress in Neurobiology.

[12]  Antoine Lutti,et al.  Discrimination of cortical laminae using MEG , 2014, NeuroImage.

[13]  Nikolaus Weiskopf,et al.  Flexible head-casts for high spatial precision MEG , 2017, Journal of Neuroscience Methods.

[14]  J. Elliott Gilpin AMERICAN CHEMICAL JOURNAL, APRIL , 1896 .

[15]  Matthew J. Brookes,et al.  On the Potential of a New Generation of Magnetometers for MEG: A Beamformer Simulation Study , 2016, PloS one.

[16]  Kristina R. Ciesielski,et al.  Pediatric MEG: Investigating Spatio-Temporal Connectivity of Developing Networks , 2014 .

[17]  D. Hoffman,et al.  Magnetoencephalography with an atomic magnetometer , 2006 .

[18]  Gareth R. Barnes,et al.  The missing link: analogous human and primate cortical gamma oscillations , 2005, NeuroImage.

[19]  A. C. Maloof,et al.  Ultrahigh sensitivity magnetic field and magnetization measurements with an atomic magnetometer , 2009, 0910.2206.

[20]  JM Zumer,et al.  Deconvolved fMRI correlates with source-localised MEG as a function of neural frequency oscillation , 2009, NeuroImage.

[21]  R. Wakai,et al.  A compact, high performance atomic magnetometer for biomedical applications , 2013, Physics in medicine and biology.

[22]  D. Cheyne MEG studies of sensorimotor rhythms: A review , 2013, Experimental Neurology.

[23]  Svenja Knappe,et al.  Magnetoencephalography of Epilepsy with a Microfabricated Atomic Magnetrode , 2014, The Journal of Neuroscience.

[24]  Siân E. Robson,et al.  Abnormal visuomotor processing in schizophrenia , 2015, NeuroImage: Clinical.

[25]  Svenja Knappe,et al.  Subpicotesla atomic magnetometry with a microfabricated vapour cell , 2007 .

[26]  Matthew J. Brookes,et al.  Optimising experimental design for MEG beamformer imaging , 2008, NeuroImage.

[27]  I. Fried,et al.  Coupling Between Neuronal Firing, Field Potentials, and fMRI in Human Auditory Cortex , 2005, Science.

[28]  J Gross,et al.  Properties of MEG tomographic maps obtained with spatial filtering , 2003, NeuroImage.

[29]  J. Vrba,et al.  Signal processing in magnetoencephalography. , 2001, Methods.

[30]  Amber L. Dagel,et al.  Four-channel optically pumped atomic magnetometer for magnetoencephalography. , 2016, Optics express.

[31]  Olaf Steinsträter,et al.  Sensitivity of beamformer source analysis to deficiencies in forward modeling , 2010, Human brain mapping.

[32]  Gareth R. Barnes,et al.  The use of anatomical constraints with MEG beamformers , 2003, NeuroImage.

[33]  Matthew J. Brookes,et al.  Investigating spatial specificity and data averaging in MEG , 2010, NeuroImage.

[34]  Han Xin-hua Superconductivity and its Applications , 2005 .

[35]  Stephen E. Robinson,et al.  SQUID sensor array configurations for magnetoencephalography applications , 2002 .

[36]  W. Singer,et al.  Abnormal neural oscillations and synchrony in schizophrenia , 2010, Nature Reviews Neuroscience.

[37]  A. Riehle,et al.  The ups and downs of beta oscillations in sensorimotor cortex , 2013, Experimental Neurology.

[38]  Michael P. Weisend,et al.  Multi-sensor magnetoencephalography with atomic magnetometers , 2013, Physics in medicine and biology.

[39]  Connor D. Shelly,et al.  Resolving thermoelectric “paradox” in superconductors , 2015, Science Advances.

[40]  J. Vrba,et al.  Multichannel SQUID Biomagnetic Systems , 2000 .

[41]  J. Kitching,et al.  Chip-scale atomic magnetometer , 2004 .

[42]  William D. Penny,et al.  A general Bayesian treatment for MEG source reconstruction incorporating lead field uncertainty , 2012, NeuroImage.

[43]  G. R. Barnes,et al.  A Quantitative Assessment of the Sensitivity of Whole-Head MEG to Activity in the Adult Human Cortex , 2002, NeuroImage.

[44]  Hui Xia,et al.  Multi-channel atomic magnetometer for magnetoencephalography: A configuration study , 2014, NeuroImage.

[45]  Mark W. Woolrich,et al.  Non-linear Parameter Estimates from Non-stationary MEG Data , 2016, Front. Neurosci..

[46]  Karl J. Friston,et al.  Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG , 2008, NeuroImage.

[47]  E. Halgren,et al.  Dynamic Statistical Parametric Mapping Combining fMRI and MEG for High-Resolution Imaging of Cortical Activity , 2000, Neuron.

[48]  S. Haroche,et al.  Detection of very weak magnetic fields (10−9gauss) by 87Rb zero-field level crossing resonances , 1969 .

[49]  Antoine Lutti,et al.  High precision anatomy for MEG , 2014, NeuroImage.

[50]  Florian Willomitzer,et al.  Consequences of EEG electrode position error on ultimate beamformer source reconstruction performance , 2014, Front. Neurosci..