Application of polymer sensitive MRI sequence to localization of EEG electrodes.
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| Title: | Application of polymer sensitive MRI sequence to localization of EEG electrodes. |
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| Authors: | Butler, Russell1,2 russell.buttler@usherbrooke.ca, Gilbert, Guillaume3, Descoteaux, Maxime2,4, Bernier, Pierre-Michel5, Whittingstall, Kevin1,2,6 |
| Source: | Journal of Neuroscience Methods. Feb2017, Vol. 278, p36-45. 10p. |
| Subjects: | Electroencephalography, Functional magnetic resonance imaging, Polymers, High resolution imaging, Electrodes |
| Abstract: | Background The growing popularity of simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) opens up the possibility of imaging EEG electrodes while the subject is in the scanner. Such information could be useful for improving the fusion of EEG-fMRI datasets. New method Here, we report for the first time how an ultra-short echo time (UTE) MR sequence can image the materials of an MR-compatible EEG cap, finding that electrodes and some parts of the wiring are visible in a high resolution UTE. Using these images, we developed a segmentation procedure to obtain electrode coordinates based on voxel intensity from the raw UTE, using hand labeled coordinates as the starting point. Results We were able to visualize and segment 95% of EEG electrodes using a short (3.5 min) UTE sequence. We provide scripts and template images so this approach can now be easily implemented to obtain precise, subject-specific EEG electrode positions while adding minimal acquisition time to the simultaneous EEG-fMRI protocol. Comparison with existing method(s) T1 gel artifacts are not robust enough to localize all electrodes across subjects, the polymers composing Brainvision cap electrodes are not visible on a T1, and adding T1 visible materials to the EEG cap is not always possible. We therefore consider our method superior to existing methods for obtaining electrode positions in the scanner, as it is hardware free and should work on a wide range of materials (caps). Conclusions EEG electrode positions are obtained with high precision and no additional hardware. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Neuroscience Methods is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 121242481 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Application of polymer sensitive MRI sequence to localization of EEG electrodes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Butler%2C+Russell%22">Butler, Russell</searchLink><relatesTo>1,2</relatesTo><i> russell.buttler@usherbrooke.ca</i><br /><searchLink fieldCode="AR" term="%22Gilbert%2C+Guillaume%22">Gilbert, Guillaume</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Descoteaux%2C+Maxime%22">Descoteaux, Maxime</searchLink><relatesTo>2,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Bernier%2C+Pierre-Michel%22">Bernier, Pierre-Michel</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Whittingstall%2C+Kevin%22">Whittingstall, Kevin</searchLink><relatesTo>1,2,6</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Neuroscience+Methods%22">Journal of Neuroscience Methods</searchLink>. Feb2017, Vol. 278, p36-45. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink><br /><searchLink fieldCode="DE" term="%22Functional+magnetic+resonance+imaging%22">Functional magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Polymers%22">Polymers</searchLink><br /><searchLink fieldCode="DE" term="%22High+resolution+imaging%22">High resolution imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Electrodes%22">Electrodes</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background The growing popularity of simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) opens up the possibility of imaging EEG electrodes while the subject is in the scanner. Such information could be useful for improving the fusion of EEG-fMRI datasets. New method Here, we report for the first time how an ultra-short echo time (UTE) MR sequence can image the materials of an MR-compatible EEG cap, finding that electrodes and some parts of the wiring are visible in a high resolution UTE. Using these images, we developed a segmentation procedure to obtain electrode coordinates based on voxel intensity from the raw UTE, using hand labeled coordinates as the starting point. Results We were able to visualize and segment 95% of EEG electrodes using a short (3.5 min) UTE sequence. We provide scripts and template images so this approach can now be easily implemented to obtain precise, subject-specific EEG electrode positions while adding minimal acquisition time to the simultaneous EEG-fMRI protocol. Comparison with existing method(s) T1 gel artifacts are not robust enough to localize all electrodes across subjects, the polymers composing Brainvision cap electrodes are not visible on a T1, and adding T1 visible materials to the EEG cap is not always possible. We therefore consider our method superior to existing methods for obtaining electrode positions in the scanner, as it is hardware free and should work on a wide range of materials (caps). Conclusions EEG electrode positions are obtained with high precision and no additional hardware. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Neuroscience Methods is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jneumeth.2016.12.013 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 36 Subjects: – SubjectFull: Electroencephalography Type: general – SubjectFull: Functional magnetic resonance imaging Type: general – SubjectFull: Polymers Type: general – SubjectFull: High resolution imaging Type: general – SubjectFull: Electrodes Type: general Titles: – TitleFull: Application of polymer sensitive MRI sequence to localization of EEG electrodes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Butler, Russell – PersonEntity: Name: NameFull: Gilbert, Guillaume – PersonEntity: Name: NameFull: Descoteaux, Maxime – PersonEntity: Name: NameFull: Bernier, Pierre-Michel – PersonEntity: Name: NameFull: Whittingstall, Kevin IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 02 Text: Feb2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 01650270 Numbering: – Type: volume Value: 278 Titles: – TitleFull: Journal of Neuroscience Methods Type: main |
| ResultId | 1 |
