Reliability and signal comparison of OPM-MEG, fMRI & iEEG in a repeated movie viewing paradigm.
The 6 matches
- [1] § Methods › OPM › Amplitude of the analytic signal ↔ code/withinViewing_betweenSubs_OPM.m, lines 29–76 · score 0.91 · 12–28 Hz, 28–46 Hz, 55–70 Hz, 8–12 Hz, 0.5–116 Hz, 0.5–4 Hz
- [2] § Methods › OPM › Amplitude of the analytic signal ↔ code/MNE_betweenSubs_OPM.m, lines 29–76 · score 0.91 · 12–28 Hz, 28–46 Hz, 55–70 Hz, 8–12 Hz, 0.5–116 Hz, 0.5–4 Hz
- [3] § Results › Within-subject comparisons ↔ code/MNE_betweenSubs_OPM.m, lines 29–76 · score 0.85 · 12–28 Hz, 28–46 Hz, 55–70 Hz, 8–12 Hz, 0.5–116 Hz, 0.5–4 Hz
- [4] § Results › Within-subject comparisons ↔ code/MNE_withinSubs_OPM.m, lines 28–54 · score 0.85 · 12–28 Hz, 28–46 Hz, 55–70 Hz, 8–12 Hz, 0.5–116 Hz, 0.5–4 Hz
- [5] § Methods › Analyses › Signal-to-noise (SNR) comparisons ↔ code/SNR_OPM.m, lines 172–218 · score 0.54 · surrogate SNR, cluster sums, tails, OPM
- [6] § Methods › Analyses › Signal-to-noise (SNR) comparisons ↔ code/SNR_OPM-fMRI.m, lines 158–213 · score 0.53 · surrogate SNR, cluster sums, tails, OPM
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
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The authors' code
MATLAB · 213 lines · 8 KB · no license · 2 matches
MNE_betweenSubs_OPM.m, no license · at the source
Overview
Abstract
Optically pumped magnetometers (OPMs) offer a promising advancement in noninvasive neuroimaging via magnetoencephalography (MEG), but establishing their reliability and comparability to existing methods remains an ongoing endeavor. Here, we evaluated OPM recordings by assessing their test-retest reliability and comparing them to functional magnetic resonance imaging (fMRI) and intracranial electroencephalography (iEEG) recordings. Data were collected from three independent participant groups during repeated viewings of a movie segment. In 7 canonical frequency bands (δ: 0.5–4 Hz, θ: 4–8 Hz, α: 8–12 Hz, β: 12–28 Hz, γ1: 28–46 Hz, γ2: 55–70 Hz, and HF: 64–116 Hz), as well as a broadband (BB: 0.5–116 Hz) signal, we quantified the signal consistency (1) within individuals, (2) across subjects, and (3) across modalities. OPM exhibited widespread reliability, particularly in lower frequency bands; spatial patterns resembled those of fMRI and iEEG in visual and auditory regions. Cross-modal analyses revealed robust correspondence between OPM and both fMRI and iEEG, including inverse correlations at low frequencies and positive correlations at higher frequencies in the OPM-fMRI comparison, consistent with known relationships between oscillatory power and BOLD responses. Comparisons of signal-to-noise (SNR) estimates further revealed that in some regions, the SNR of cross-modal alignment exceeded within-modality reliability, suggesting that bridging between modalities can sometimes enhance SNR by attenuating reliably shared noise. Our findings demonstrate that OPM consistently captures stimulus-driven neural dynamics that converge with established modalities.
Reproduced under the paper's license (CC BY), from the paper cited above.
Repository
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OSF urjvb
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
- 28 September 2026: the link answers (HTTP 200)
20 files, to read at the source
This repository has no license: its authors keep all rights. Read it at the source.
- code/
MNE_betweenMethods_OPM-f — MATLAB, 197 lines, not shown hereMRI.m - code/
MNE_betweenMethods_OPM-i — MATLAB, 190 lines, not shown hereEEG.m - code/
MNE_betweenSubs_OPM.m — MATLAB, 213 lines, 2 matches, not shown here - code/
MNE_withinSubs_OPM.m — MATLAB, 192 lines, 1 match, not shown here - code/
SNR_OPM-fMRI.m — MATLAB, 528 lines, 1 match, not shown here - code/
SNR_OPM.m — MATLAB, 528 lines, 1 match, not shown here - code/
betweenMethods_OPM-fMRI. — MATLAB, 207 lines, not shown herem - code/
betweenMethods_OPM-iEEG. — MATLAB, 185 lines, not shown herem - code/
betweenMethods_fMRI-iEEG — MATLAB, 178 lines, not shown here.m - code/
betweenSubs_OPM.m — MATLAB, 213 lines, not shown here - code/
betweenSubs_fMRI.m — MATLAB, 163 lines, not shown here - code/
overlap.m — MATLAB, 301 lines, not shown here - code/
withinSubs_OPM.m — MATLAB, 189 lines, not shown here - code/
withinSubs_fMRI.m — MATLAB, 146 lines, not shown here - code/
withinSubs_iEEG.m — MATLAB, 153 lines, not shown here - code/
withinViewing_betweenMet — MATLAB, 197 lines, not shown herehods_OPM-fMRI.m - code/
withinViewing_betweenMet — MATLAB, 200 lines, not shown herehods_OPM-iEEG.m - code/
withinViewing_betweenMet — MATLAB, 178 lines, not shown herehods_fMRI-iEEG.m - code/
withinViewing_betweenSub — MATLAB, 213 lines, 1 match, not shown heres_OPM.m - code/
withinViewing_betweenSub — MATLAB, 164 lines, not shown heres_fMRI.m
The paper's code and data availability statement is in the Data section.
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Data
Datasets cited
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Data and Code Availability
Data and analysis code underlying the conclusions of the manuscript are available at the Open Science Framework (OSF): https://
Reproduced under the paper's license (CC BY), from the paper cited above.
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Cite
This paper
Christiano, O. R., & Michelmann, S. (2026). Reliability and signal comparison of OPM-MEG, fMRI &
BibTeX
@article{christiano2026r
author = {Christiano, Olivia R. and Michelmann, Sebastian},
title = {{Reliability and signal comparison of OPM-MEG, fMRI \&
journal = {Imaging neuroscience (Cambridge, Mass.)},
year = {2026},
month = may,
volume = {4},
pages = {IMAG.a.1218},
publisher = {MIT Press},
issn = {2837-6056},
doi = {10.1162/
url = {https://
pmid = {42125202},
pmcid = {PMC13159027}
}
RIS
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AU - Christiano, Olivia R.
AU - Michelmann, Sebastian
TI - Reliability and signal comparison of OPM-MEG, fMRI &
T2 - Imaging neuroscience (Cambridge, Mass.)
J2 - Imaging Neurosci (Camb)
PY - 2026
DA - 2026/
VL - 4
SP - IMAG.a.1218
SN - 2837-6056
PB - MIT Press
DO - 10.1162/
UR - https://
LA - en
ER -
CSL-JSON
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