Evidence map›Paper›PMID 42029712›Full record

ArticleBrain topography2026

Conductivity Deviations as Virtual Sources in Magnetoencephalography.

Seppo P Ahlfors, Seok Lew, Matti S Hämäläinen, Risto J Ilmoniemi, Yoshio Okada

Abstract read
In one paragraph

Article in Brain topography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Seppo P AhlforsAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA. sahlfors@mgh.harvard.edu.ORCID 0000-0001-7674-6931
Seok LewDepartment of Engineering, Martin D. Walker School of STEM, Olivet Nazarene University, Bourbonnais, IL, USA.ORCID 0000-0002-5235-7656
Matti S HämäläinenDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.ORCID 0000-0001-6841-112X
Risto J IlmoniemiDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.ORCID 0000-0002-3340-2618
Yoshio OkadaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.ORCID 0000-0001-7627-0216

Funding

Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BRUCE R ROSEN · 2020 to 2026
$10.9M
Scalable Software for Distributed Processing and Visualization of Multi-Site MEG/EEG DatasetsR01NS104585 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI MATTI HAMALAINEN · 2018 to 2026
$4.3M
Non-invasive measures of multisensory cortical feedforward and feedback influencesR01DC016765 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI AHLFORS, SEPPO PENTTI, AHVENINEN, JYRKI · 2018 to 2022
$2.7M
TRIUX neo MEG system UpgradeS10OD030469 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI AHLFORS, SEPPO PENTTI · 2021 to 2021
$2.0M
NIBIB NIH HHS P41 EB030006NIDCD NIH HHS R01 DC016765NIH HHS R01DC016765NIH HHS R01NS104585NIH HHS S10 OD030469NINDS NIH HHS R01 NS104585
6 · The paper itself

Abstract

Magnetoencephalography (MEG) is a method to study electrical activity in the brain. MEG signals are modeled by primary currents, which represent neuronal activity, and associated passive volume currents, which depend on the conductivity distribution within the body. The effect of conductivity inhomogeneities can be described as if additional virtual source currents were present. Virtual sources help to understand conductivity effects independently from the sensor array properties. The Volume Current Formulation (VCF) of the virtual sources focuses on altered patterns of volume currents, whereas in the Secondary Current Formulation (SCF) the virtual sources are at locations where conductivity changes. We derived and compared these formulations for deviations from a reference conductivity distribution. In VCF, the virtual sources are located only where the conductivity deviation is non-zero, but their orientation and magnitude depend on the local electric field. In contrast, in SCF, both the location and the orientation of the virtual sources are determined by the conductivity distribution, typically by the anatomical tissue boundaries. In SCF, however, all conductivity boundaries, including those in the reference distribution, generally need to be considered. For spherically symmetric reference conductivity, in VCF the radial component of a virtual source does not contribute to any component of the magnetic field, whereas in SCF the radial component of a virtual source does not contribute to the radial component but contributes to the tangential components of the magnetic field. Complementary descriptions using VCF and SCF were illustrated in a model for fontanels in infants.

Indexed as

BrainBrain MappingElectric ConductivityMagnetoencephalographyModels, NeurologicalHumansFontanelForward modelMEGSecondary currentSkull defectVolume current

Identifiers

PMID42029712
PMCPMC13109224

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.