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      On the Potential of a New Generation of Magnetometers for MEG: A Beamformer Simulation Study

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          Abstract

          Magnetoencephalography (MEG) is a sophisticated tool which yields rich information on the spatial, spectral and temporal signatures of human brain function. Despite unique potential, MEG is limited by a low signal-to-noise ratio (SNR) which is caused by both the inherently small magnetic fields generated by the brain, and the scalp-to-sensor distance. The latter is limited in current systems due to a requirement for pickup coils to be cryogenically cooled. Recent work suggests that optically-pumped magnetometers (OPMs) might be a viable alternative to superconducting detectors for MEG measurement. They have the advantage that sensors can be brought to within ~4 mm of the scalp, thus offering increased sensitivity. Here, using simulations, we quantify the advantages of hypothetical OPM systems in terms of sensitivity, reconstruction accuracy and spatial resolution. Our results show that a multi-channel whole-head OPM system offers (on average) a fivefold improvement in sensitivity for an adult brain, as well as clear improvements in reconstruction accuracy and spatial resolution. However, we also show that such improvements depend critically on accurate forward models; indeed, the reconstruction accuracy of our simulated OPM system only outperformed that of a simulated superconducting system in cases where forward field error was less than 5%. Overall, our results imply that the realisation of a viable whole-head multi-channel OPM system could generate a step change in the utility of MEG as a means to assess brain electrophysiological activity in health and disease. However in practice, this will require both improved hardware and modelling algorithms.

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          Most cited references68

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          Dynamic predictions: oscillations and synchrony in top-down processing.

          Classical theories of sensory processing view the brain as a passive, stimulus-driven device. By contrast, more recent approaches emphasize the constructive nature of perception, viewing it as an active and highly selective process. Indeed, there is ample evidence that the processing of stimuli is controlled by top-down influences that strongly shape the intrinsic dynamics of thalamocortical networks and constantly create predictions about forthcoming sensory events. We discuss recent experiments indicating that such predictions might be embodied in the temporal structure of both stimulus-evoked and ongoing activity, and that synchronous oscillations are particularly important in this process. Coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing.
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            Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources.

            To address the problem of volume conduction and active reference electrodes in the assessment of functional connectivity, we propose a novel measure to quantify phase synchronization, the phase lag index (PLI), and compare its performance to the well-known phase coherence (PC), and to the imaginary component of coherency (IC). The PLI is a measure of the asymmetry of the distribution of phase differences between two signals. The performance of PLI, PC, and IC was examined in (i) a model of 64 globally coupled oscillators, (ii) an EEG with an absence seizure, (iii) an EEG data set of 15 Alzheimer patients and 13 control subjects, and (iv) two MEG data sets. PLI and PC were more sensitive than IC to increasing levels of true synchronization in the model. PC and IC were influenced stronger than PLI by spurious correlations because of common sources. All measures detected changes in synchronization during the absence seizure. In contrast to PC, PLI and IC were barely changed by the choice of different montages. PLI and IC were superior to PC in detecting changes in beta band connectivity in AD patients. Finally, PLI and IC revealed a different spatial pattern of functional connectivity in MEG data than PC. The PLI performed at least as well as the PC in detecting true changes in synchronization in model and real data but, at the same token and like-wise the IC, it was much less affected by the influence of common sources and active reference electrodes. Copyright 2007 Wiley-Liss, Inc.
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              Neuronal synchrony: a versatile code for the definition of relations?

              W. Singer (1999)
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                26 August 2016
                2016
                : 11
                : 8
                : e0157655
                Affiliations
                [1 ]Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, NG7 2RD, Nottingham, United Kingdom
                [2 ]Midlands Ultracold Atom Research Centre, School of Physics and Astronomy, University of Nottingham, University Park, NG7 2RD, Nottingham, United Kingdom
                [3 ]Wellcome Trust Centre for Neuroimaging, University College London, 12 Queen Square, WC1N 3BG, London, United Kingdom
                Australian Research Council Centre of Excellence in Cognition and its Disorders, AUSTRALIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceived and designed the experiments: MJB GRB RB PM TMF PK.

                • Performed the experiments: EB SSM MJB.

                • Analyzed the data: EB SSM MJB.

                • Contributed reagents/materials/analysis tools: EB SSM MJB.

                • Wrote the paper: EB RB PK TMF PM GRB MJB.

                Article
                PONE-D-16-01644
                10.1371/journal.pone.0157655
                5001648
                27564416
                cf38dc78-4739-4b40-9619-c3f70650982b
                © 2016 Boto et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 January 2016
                : 2 June 2016
                Page count
                Figures: 8, Tables: 0, Pages: 24
                Funding
                Funded by: Medical Research Council (GB) New Investigator Grant
                Award ID: MR/M006301/1
                Award Recipient :
                Funded by: Engineering and Physical Sciences Research Council (GB) UK National Quantum Technology Hub for Sensors and Metrology Grant
                Award ID: EP/M013294/1
                Funded by: Medical Research Council and Engineering and Physical Sciences Research Council (GB) Partnership Grant
                Award ID: MR/K6010/86010/1
                Award Recipient :
                This work has been funded by the EPSRC UK National Quantum Technology Hub for Sensors and Metrology (EP/M013294/1). MJB is funded by a Medical Research Council New Investigator Research Grant (MR/M006301/1). SSM is funded by a MRC and EPSRC Partnership Grant (MR/K6010/86010/1).
                Categories
                Research Article
                Biology and Life Sciences
                Neuroscience
                Brain Mapping
                Magnetoencephalography
                Research and Analysis Methods
                Imaging Techniques
                Neuroimaging
                Magnetoencephalography
                Biology and Life Sciences
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                Magnetoencephalography
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