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      Measuring functional connectivity with wearable MEG

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          Abstract

          Optically-pumped magnetometers (OPMs) offer the potential for a step change in magnetoencephalography (MEG) enabling wearable systems that provide improved data quality, accommodate any subject group, allow data capture during movement and potentially reduce cost. However, OPM-MEG is a nascent technology and, to realise its potential, it must be shown to facilitate key neuroscientific measurements, such as the characterisation of brain networks. Networks, and the connectivities that underlie them, have become a core area of neuroscientific investigation, and their importance is underscored by many demonstrations of their disruption in brain disorders. Consequently, a demonstration of network measurements using OPM-MEG would be a significant step forward. Here, we aimed to show that a wearable 50-channel OPM-MEG system enables characterisation of the electrophysiological connectome. To this end, we measured connectivity in the resting state and during a visuo-motor task, using both OPM-MEG and a state-of-the-art 275-channel cryogenic MEG device. Our results show that resting-state connectome matrices from OPM and cryogenic systems exhibit a high degree of similarity, with correlation values >70%. In addition, in task data, similar differences in connectivity between individuals (scanned multiple times) were observed in cryogenic and OPM-MEG data, again demonstrating the fidelity of the OPM-MEG device. This is the first demonstration of network connectivity measured using OPM-MEG, and results add weight to the argument that OPMs will ultimately supersede cryogenic sensors for MEG measurement.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain.

            An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute (MNI) (D. L. Collins et al., 1998, Trans. Med. Imag. 17, 463-468) was performed. The MNI single-subject main sulci were first delineated and further used as landmarks for the 3D definition of 45 anatomical volumes of interest (AVOI) in each hemisphere. This procedure was performed using a dedicated software which allowed a 3D following of the sulci course on the edited brain. Regions of interest were then drawn manually with the same software every 2 mm on the axial slices of the high-resolution MNI single subject. The 90 AVOI were reconstructed and assigned a label. Using this parcellation method, three procedures to perform the automated anatomical labeling of functional studies are proposed: (1) labeling of an extremum defined by a set of coordinates, (2) percentage of voxels belonging to each of the AVOI intersected by a sphere centered by a set of coordinates, and (3) percentage of voxels belonging to each of the AVOI intersected by an activated cluster. An interface with the Statistical Parametric Mapping package (SPM, J. Ashburner and K. J. Friston, 1999, Hum. Brain Mapp. 7, 254-266) is provided as a freeware to researchers of the neuroimaging community. We believe that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain in which deformations are well known. However, this tool does not alleviate the need for more sophisticated labeling strategies based on anatomical or cytoarchitectonic probabilistic maps.
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              Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

              An MRI time course of 512 echo-planar images (EPI) in resting human brain obtained every 250 ms reveals fluctuations in signal intensity in each pixel that have a physiologic origin. Regions of the sensorimotor cortex that were activated secondary to hand movement were identified using functional MRI methodology (FMRI). Time courses of low frequency (< 0.1 Hz) fluctuations in resting brain were observed to have a high degree of temporal correlation (P < 10(-3)) within these regions and also with time courses in several other regions that can be associated with motor function. It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain.
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                Author and article information

                Journal
                9215515
                20498
                Neuroimage
                Neuroimage
                NeuroImage
                1053-8119
                1095-9572
                15 June 2021
                29 January 2021
                15 April 2021
                21 June 2021
                : 230
                : 117815
                Affiliations
                [a ]Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom
                [b ]QuSpin Inc., 331 South 104th Street, Suite 130, Louisville, 80027, CO, USA
                Author notes

                Credit authorship contribution statement

                Elena Boto: Conceptualization, Methodology, Formal analysis, Data curation, Writing - original draft. Ryan M. Hill: Conceptualization, Methodology, Formal analysis, Data curation, Software, Writing - review & editing. Molly Rea: Methodology, Data curation, Writing - review & editing. Niall Holmes: Conceptualization, Methodology, Software, Data curation, Writing - review & editing. Zelekha A. Seedat: Methodology, Software, Writing - review & editing. James Leggett: Methodology, Software, Writing - review & editing. Vishal Shah: Resources, Writing - review & editing. James Osborne: Resources, Software, Writing - review & editing. Richard Bowtell: Conceptualization, Methodology, Software, Formal analysis, Writing - review & editing. Matthew J. Brookes: Conceptualization, Methodology, Software, Formal analysis, Writing - original draft, Project administration, Funding acquisition.

                [* ]Corresponding author. elena.boto@ 123456nottingham.ac.uk (E. Boto).
                Article
                NIHMS1710574
                10.1016/j.neuroimage.2021.117815
                8216250
                33524584
                a34ce50a-9889-4973-880e-edb854ea1f63

                This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/)

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                Categories
                Article

                Neurosciences
                optically-pumped magnetometer,opm,magnetoencephalography,meg,opm-meg,functional connectivity,network,wearable meg,amplitude-envelope correlation,aec

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