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      Improved spatio-temporal measurements of visually evoked fields using optically-pumped magnetometers

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          Abstract

          Recent developments in performance and practicality of optically-pumped magnetometers (OPMs) have enabled new capabilities in non-invasive brain function mapping through magnetoencephalography. In particular, the lack of cryogenic operating conditions allows for more flexible placement of sensor heads closer to the brain, leading to improved spatial resolution and source localisation capabilities. Through recording visually evoked brain fields (VEFs), we demonstrate that the closer sensor proximity can be exploited to improve temporal resolution. We use OPMs, and superconducting quantum interference devices (SQUIDs) for reference, to measure brain responses to flash and pattern reversal stimuli. We find highly reproducible signals with consistency across multiple participants, stimulus paradigms and sensor modalities. The temporal resolution advantage of OPMs is manifest in a twofold improvement, compared to SQUIDs. The capability for improved spatio-temporal signal tracing is illustrated by simultaneous vector recordings of VEFs in the primary and associative visual cortex, where a time lag on the order of 10–20 ms is consistently found. This paves the way for further spatio-temporal studies of neurophysiological signal tracking in visual stimulus processing, and other brain responses, with potentially far-reaching consequences for time-critical mapping of functionality in healthy and pathological brains.

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          FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data

          This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. The software is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data. It includes algorithms for simple and advanced analysis, such as time-frequency analysis using multitapers, source reconstruction using dipoles, distributed sources and beamformers, connectivity analysis, and nonparametric statistical permutation tests at the channel and source level. The implementation as toolbox allows the user to perform elaborate and structured analyses of large data sets using the MATLAB command line and batch scripting. Furthermore, users and developers can easily extend the functionality and implement new algorithms. The modular design facilitates the reuse in other software packages.
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            Über das Elektrenkephalogramm des Menschen

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              Oxygenation-sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields

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                Author and article information

                Contributors
                A.Gialopsou@sussex.ac.uk
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                17 November 2021
                17 November 2021
                2021
                : 11
                : 22412
                Affiliations
                [1 ]GRID grid.12082.39, ISNI 0000 0004 1936 7590, Department of Physics and Astronomy, , University of Sussex, ; Falmer, Brighton, BN1 9HQ UK
                [2 ]GRID grid.12082.39, ISNI 0000 0004 1936 7590, Clinical Imaging Sciences Centre, , University of Sussex, ; Falmer, Brighton, BN1 9PH UK
                [3 ]GRID grid.4764.1, ISNI 0000 0001 2186 1887, Physikalisch Technische Bundesanstalt, ; 10587 Berlin, Germany
                [4 ]GRID grid.5600.3, ISNI 0000 0001 0807 5670, Cardiff University Brain Research Imaging Centre (CUBRIC), , Cardiff University, ; Cardiff, CF24 4HQ UK
                Article
                1854
                10.1038/s41598-021-01854-7
                8599680
                34789806
                11068518-7c56-428f-bd12-905aca7d07a4
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 June 2021
                : 1 November 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                Award ID: EP/T001046/1
                Award ID: EP/T001046/1
                Award ID: EP/T001046/1
                Funded by: FundRef http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: KO 5321/3-1 and TR 408/11-1
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                neuroscience,visual system,quantum physics
                Uncategorized
                neuroscience, visual system, quantum physics

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