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Quantifying cerebellar signal detectability in MEG and EEG in epilepsy using anatomically informed source modeling.

Overview

Authors: Teppei Matsubara1,2, Abbas Sohrabpour1,2, Seppo P Ahlfors1,2, Mainak Jas1,2, John Samuelsson1,2, Padmavathi Sundaram1,2, Steven Stufflebeam1,2
ORCID iDs: Teppei Matsubara, Seppo P Ahlfors
  1. Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
  2. Harvard Medical School, Boston, MA, USA
Institutions: Massachusetts General Hospital (United States); Athinoula A. Martinos Center for Biomedical Imaging (United States); Harvard University (United States)
Journal: NeuroImage, volume 333, article 121930
Dates: published online 15 April 2026; in print June 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.neuroimage.2026.121930 · PMID 41990896 · PMCID PMC13293240 · OpenAlex W7154478360
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: structural MRI / diffusion (modality), EEG (modality), MEG (modality), human (organism), epilepsy (population)
Methods: Spectral & time-frequency, Statistics, Machine learning, Connectivity, Source localization, fMRI & imaging, Physiology & signal measures
Keywords: MEG, EEG, OPM, Epilepsy, SNR, Cerebellum
MeSH: Cerebellum*, Electroencephalography*, Epilepsy*, Magnetoencephalography*, Adolescent, Adult, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Models, Neurological, Signal-To-Noise Ratio, Young Adult (* major topic)
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: National Institutes of Health (R21NS140619, 1R01NS112183, 5R01NS104585, S10OD030469, P41EB030006); NINDS NIH HHS (R01 NS112183, R21 NS140619, R01 NS104585); NIBIB NIH HHS (P41 EB030006); NIH HHS (S10 OD030469)
Citations: cited by 2 papers (Europe PMC); 75 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it says that the code is available on request

Read it in the paper: doi.org/10.1016/j.neuroimage.2026.121930.

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Data

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Data availability statement

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  • it says that the data are available on request

Read it in the paper: doi.org/10.1016/j.neuroimage.2026.121930.

Versions

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 7 authors, 6 keywords, 15 MeSH terms, 4 funders, 73 references.

Cite

This paper

Matsubara, T., Sohrabpour, A., Ahlfors, S. P., Jas, M., Samuelsson, J., Sundaram, P., & Stufflebeam, S. (2026). Quantifying cerebellar signal detectability in MEG and EEG in epilepsy using anatomically informed source modeling. NeuroImage, 333, 121930. https://doi.org/10.1016/j.neuroimage.2026.121930

BibTeX

@article{matsubara2026quantifying,
author = {Matsubara, Teppei and Sohrabpour, Abbas and Ahlfors, Seppo P and Jas, Mainak and Samuelsson, John and Sundaram, Padmavathi and Stufflebeam, Steven},
title = {{Quantifying cerebellar signal detectability in MEG and EEG in epilepsy using anatomically informed source modeling}},
journal = {NeuroImage},
year = {2026},
month = apr,
volume = {333},
pages = {121930},
publisher = {Elsevier BV},
issn = {1053-8119},
doi = {10.1016/j.neuroimage.2026.121930},
url = {https://doi.org/10.1016/j.neuroimage.2026.121930},
pmid = {41990896},
pmcid = {PMC13293240}
}

RIS

TY - JOUR
AU - Matsubara, Teppei
AU - Sohrabpour, Abbas
AU - Ahlfors, Seppo P
AU - Jas, Mainak
AU - Samuelsson, John
AU - Sundaram, Padmavathi
AU - Stufflebeam, Steven
TI - Quantifying cerebellar signal detectability in MEG and EEG in epilepsy using anatomically informed source modeling
T2 - NeuroImage
J2 - Neuroimage
PY - 2026
DA - 2026/04/15
VL - 333
SP - 121930
SN - 1053-8119
PB - Elsevier BV
DO - 10.1016/j.neuroimage.2026.121930
UR - https://doi.org/10.1016/j.neuroimage.2026.121930
LA - en
ER -

CSL-JSON

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"language": "en",
"issued": {
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