An ultra-sensitive multi-channel MEG system for the non-invasive single-trial detection of cortical population spikes.

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Title: An ultra-sensitive multi-channel MEG system for the non-invasive single-trial detection of cortical population spikes.
Authors: Barnes J; Physikalisch-Technische Bundesanstalt (PTB), Abbestrasse 2-12, 10587, Berlin, Germany. Jim.Barnes@ptb.de.; Institute of Biomedical Engineering and Informatics, Faculty of Computer Science and Automation, Technische-Universität Ilmenau, 98693, Ilmenau, Germany. Jim.Barnes@ptb.de., Arsalani S; Physikalisch-Technische Bundesanstalt (PTB), Abbestrasse 2-12, 10587, Berlin, Germany., Waterstraat G; Neurophysics Group, Department of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany., Curio G; Neurophysics Group, Department of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany., Radzinski L; Neurophysics Group, Department of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany.; Faculty of Electrical Engineering and Computer Science, Technische-Universität Berlin, 10587, Berlin, Germany., Haueisen J; Institute of Biomedical Engineering and Informatics, Faculty of Computer Science and Automation, Technische-Universität Ilmenau, 98693, Ilmenau, Germany., Körber R; Physikalisch-Technische Bundesanstalt (PTB), Abbestrasse 2-12, 10587, Berlin, Germany.
Source: Scientific reports [Sci Rep] 2026 May 26; Vol. 16 (1). Date of Electronic Publication: 2026 May 26.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-50113-0