Imaging of brain electric field networks with spatially resolved EEG
We present a method for spatially resolving the electric field potential throughout the entire volume of the human brain from electroencephalography (EEG) data. The method is not a variation of the well-known ‘source reconstruction’ methods, but rather a direct solution to the EEG inverse problem ba...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2025-06-01
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| Series: | eLife |
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| Online Access: | https://elifesciences.org/articles/100123 |
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| author | Lawrence R Frank Vitaly L Galinsky Olave Krigolson Susan Tapert Stephan Bickel Antigona Martinez |
| author_facet | Lawrence R Frank Vitaly L Galinsky Olave Krigolson Susan Tapert Stephan Bickel Antigona Martinez |
| author_sort | Lawrence R Frank |
| collection | DOAJ |
| description | We present a method for spatially resolving the electric field potential throughout the entire volume of the human brain from electroencephalography (EEG) data. The method is not a variation of the well-known ‘source reconstruction’ methods, but rather a direct solution to the EEG inverse problem based on our recently developed model for brain waves that demonstrates the inadequacy of the standard ‘quasi-static approximation’ that has fostered the belief that such a reconstruction is not physically possible. The method retains the high temporal/frequency resolution of EEG, yet has spatial resolution comparable to (or better than) functional MRI (fMRI), without its significant inherent limitations. The method is validated using simultaneous EEG/fMRI data in healthy subjects, intracranial EEG data in epilepsy patients, comparison with numerical simulations, and a direct comparison with standard state-of-the-art EEG analysis in a well-established attention paradigm. The method is then demonstrated on a very large cohort of subjects performing a standard gambling task designed to activate the brain’s ‘reward circuit’. The technique uses the output from standard extant EEG systems and thus has potential for immediate benefit to a broad range of important basic scientific and clinical questions concerning brain electrical activity. By offering an inexpensive and portable alternative to fMRI, it provides a realistic methodology to efficiently promote the democratization of medicine. |
| format | Article |
| id | doaj-art-3ba416ad461f415e9d5a7558d582c7d8 |
| institution | OA Journals |
| issn | 2050-084X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj-art-3ba416ad461f415e9d5a7558d582c7d82025-08-20T02:03:00ZengeLife Sciences Publications LtdeLife2050-084X2025-06-011310.7554/eLife.100123Imaging of brain electric field networks with spatially resolved EEGLawrence R Frank0https://orcid.org/0000-0001-7235-587XVitaly L Galinsky1https://orcid.org/0000-0003-0420-6834Olave Krigolson2Susan Tapert3Stephan Bickel4Antigona Martinez5University of California, San Diego, La Jolla, United StatesUniversity of California, San Diego, La Jolla, United StatesUniversity of Victoria, Victoria, CanadaUniversity of California, San Diego, La Jolla, United StatesNathan Kline Institute, Orangeburg, United States; Feinstein Institute for Medical Research, New York, United StatesFeinstein Institute for Medical Research, New York, United StatesWe present a method for spatially resolving the electric field potential throughout the entire volume of the human brain from electroencephalography (EEG) data. The method is not a variation of the well-known ‘source reconstruction’ methods, but rather a direct solution to the EEG inverse problem based on our recently developed model for brain waves that demonstrates the inadequacy of the standard ‘quasi-static approximation’ that has fostered the belief that such a reconstruction is not physically possible. The method retains the high temporal/frequency resolution of EEG, yet has spatial resolution comparable to (or better than) functional MRI (fMRI), without its significant inherent limitations. The method is validated using simultaneous EEG/fMRI data in healthy subjects, intracranial EEG data in epilepsy patients, comparison with numerical simulations, and a direct comparison with standard state-of-the-art EEG analysis in a well-established attention paradigm. The method is then demonstrated on a very large cohort of subjects performing a standard gambling task designed to activate the brain’s ‘reward circuit’. The technique uses the output from standard extant EEG systems and thus has potential for immediate benefit to a broad range of important basic scientific and clinical questions concerning brain electrical activity. By offering an inexpensive and portable alternative to fMRI, it provides a realistic methodology to efficiently promote the democratization of medicine.https://elifesciences.org/articles/100123electroencephalographyEEGneuroimagingbrain wavesSPECTREfunctional magnetic resonance imaging |
| spellingShingle | Lawrence R Frank Vitaly L Galinsky Olave Krigolson Susan Tapert Stephan Bickel Antigona Martinez Imaging of brain electric field networks with spatially resolved EEG eLife electroencephalography EEG neuroimaging brain waves SPECTRE functional magnetic resonance imaging |
| title | Imaging of brain electric field networks with spatially resolved EEG |
| title_full | Imaging of brain electric field networks with spatially resolved EEG |
| title_fullStr | Imaging of brain electric field networks with spatially resolved EEG |
| title_full_unstemmed | Imaging of brain electric field networks with spatially resolved EEG |
| title_short | Imaging of brain electric field networks with spatially resolved EEG |
| title_sort | imaging of brain electric field networks with spatially resolved eeg |
| topic | electroencephalography EEG neuroimaging brain waves SPECTRE functional magnetic resonance imaging |
| url | https://elifesciences.org/articles/100123 |
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