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The Mismatch Negativity Compared: EEG, SQUID-MEG, and Novel Helium-OPMs.

作者信息

Gutteling Tjerk P, Mattout Jérémie, Daligault Sébastien, Jung Julien, Labyt Etienne, Schwartz Denis, Lecaignard Françoise

机构信息

CERMEP-Imagerie du Vivant, MEG Departement, Lyon, France.

CNRS, INSERM, Centre de Recherche en Neurosciences de Lyon CRNL U1028, UMR5292, COPHY, Université Claude Bernard Lyon 1, Bron, France.

出版信息

Hum Brain Mapp. 2025 Oct 1;46(14):e70368. doi: 10.1002/hbm.70368.

Abstract

Magneto-encephalography (MEG) provides a higher spatial resolution than electro-encephalography (EEG) to measure human auditory responses. However, conventional cryogenic MEG systems (SQUID-MEG) suffer from severe technological restrictions limiting, for instance, routine clinical use. Fortunately, a new generation of MEG sensors, optically pumped magnetometers (OPMs), has been developed to bridge the gap, combining the wearability of EEG with the benefits of MEG signal acquisition. We aim to assess their potential for studying auditory mismatch processing. The auditory mismatch negativity (MMN) is a well-characterized evoked component observable using a passive oddball paradigm with two-tone sound sequences. It has been extensively described using both EEG and MEG and is part of many EEG-based clinical applications, such as the assessment of patients with disorders of consciousness. MMN is therefore a relevant candidate to evaluate OPM performance. We use recently developed Helium-OPMs, which are high dynamic range MEG sensors that operate at room temperature. We compare their performance with cryogenic SQUID-MEG and EEG in a passive frequency oddball paradigm. Results show a significant MMN across subjects in all modalities as well as a high temporal similarity between modalities. Signal-to-noise ratios were also similar, and detection of significant individual MMN (within-subjects) using the OPM system was equal to or better than EEG. Given that the OPM system tested here is a prototype comprised of only five sensors, these results are a promising step towards wearable MEG that combines the advantages of MEG and EEG.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2164/12476031/03087ad7832d/HBM-46-e70368-g003.jpg

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