Evidence map›Paper›PMID 39228452›Full record

ArticleBasic and clinical neuroscience

A Full-wave Solution of Deep Sources in the Lossy Human Head to Accurate Electroencephalography and Magnetoencephalography.

Sattar Samadi, Bijan Zakeri, Reza Khanbabaie

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Article in Basic and clinical neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sattar SamadiDepartment of Electrical Engineering, Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran.ORCID https://orcid.org/0009-0001-3243-8491
Bijan ZakeriDepartment of Electrical Engineering, Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran.ORCID https://orcid.org/0000-0001-7115-0055
Reza KhanbabaieDepartment of Physics, University osf British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0001-6574-2097

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Currents in the brain flow inside neurons and across their boundaries into the extracellular medium, create electric and magnetic fields. These fields, which contain suitable information on brain activity, can be measured by electroencephalography (EEG), magnetoencephalography (MEG), and direct neural imaging. Methods: In this paper, we employed an electromagnetic model of the neuron activity and human head to derive electric and magnetic fields (brain waves) using a full-wave approach (ie. without any approximation). Currently, the brain waves are only derived using the quasi-static approximation (QSA) of Maxwell's equations in electromagnetic theory. Results: As a result, source localization in brain imaging will produce some errors. So far, the error rate of the QSA on the output results of electric and magnetic fields has not been investigated. This issue has become more noticeable due to the increased sensitivity of modern electroencephalography (EEG) and magnetoencephalography (MEG) devices. This work introduces issues that QSA encounters in this problem and reveals the necessity of a full-wave solution. Then, a full-wave solution of the problem in closed-form format is presented for the first time. This solution is done in two scenarios: the source (active neurons) is in the center of a sphere, and when the source is out of the center but deeply inside the sphere. The first scenario is simpler, but the second one is much more complicated and is solved using a partial-wave series expression. Conclusion: One of the significant achievements of this model is improving the interpretation of EEG and MEG measurements, resulting in more accurate source localization.

Indexed as

Brain imagingBrain wavesFull-wave analysisHuman head modelingQuasi-static approximation

Identifiers

PMID39228452
PMCPMC11367220

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