Characterizing Spatial Signatures of Gastric Electrical Activity Using Biomagnetic Source Localization

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dc.contributor.author Avci, Recep
dc.contributor.author Eichler, Chad E
dc.contributor.author Paskaranandavadivel, Niranchan
dc.contributor.author Du, Peng
dc.contributor.author Angeli-Gordon, Timothy R
dc.contributor.author Bradshaw, Leonard A
dc.contributor.author Cheng, Leo K
dc.coverage.spatial United States
dc.date.accessioned 2024-03-14T02:58:01Z
dc.date.available 2024-03-14T02:58:01Z
dc.date.issued 2022-11
dc.identifier.citation (2022). IEEE Transactions on Biomedical Engineering, 69(11), 3551-3558.
dc.identifier.issn 0018-9294
dc.identifier.uri https://hdl.handle.net/2292/67745
dc.description.abstract Background: The motility patterns in the gastrointestinal tract are regulated, in part, by bioelectrical events known as slow waves (SWs). Understanding temporal and spatial features of gastric SWs can help reveal the underlying causes of functional motility disorders. Objective: This study investigated the ability of source localization techniques to characterize the spatial signatures of SW activity using simulated and experimental magnetogastrography data. Methods: Two SW propagation patterns (antegrade and retrograde) with two rhythms (normogastric and bradygastric) were used to simulate magnetic fields using 4 anatomically realistic stomach and torso geometries. Source localization was performed utilizing the equivalent current dipole (ECD) and the equivalent magnetic dipole (EMD) models. Results: In the normogastric simulations when compared with the SW activity, the EMD model was capable of identifying the SW propagation in the lateral, antero-posterior, and supero-inferior axes with the median correlation coefficients of 0.66, 0.53, and 0.83, respectively, whereas the ECD model produced lower correlation scores (median: 0.52, 0.44, and 0.44). Moreover, the EMD model resulted in distinct and opposite spatial signatures for the antegrade and retrograde propagation. Similarly, when experimental data was used, the EMD model revealed antegrade-like signatures where the propagation was mostly towards the third quadrant in the supero-inferior (preprandial: 49%, postprandial: 35%) and antero-posterior (preprandial: 49%, postprandial: 50%) axes. Conclusion and Significance: The EMD model was able to identify and classify the spatial signatures of SW activities, which can help to inform the interpretation of non-invasive recordings of gastric SWs as a biomarker of functional motility disorders.
dc.format.medium Print-Electronic
dc.language eng
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofseries IEEE Transactions on Biomedical Engineering
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/
dc.subject Gastrointestinal Tract
dc.subject Stomach
dc.subject Gastrointestinal Motility
dc.subject Postprandial Period
dc.subject Magnetics
dc.subject Magnetic Fields
dc.subject 40 Engineering
dc.subject 4003 Biomedical Engineering
dc.subject Digestive Diseases
dc.subject Clinical Research
dc.subject Science & Technology
dc.subject Technology
dc.subject Engineering, Biomedical
dc.subject Engineering
dc.subject Computational modeling
dc.subject Location awareness
dc.subject Torso
dc.subject Magnetic moments
dc.subject SQUIDs
dc.subject Magnetic analysis
dc.subject Slow waves
dc.subject magnetogastrography
dc.subject source localization
dc.subject functional gastric motility disorders
dc.subject SLOW-WAVE
dc.subject VOLUME CONDUCTOR
dc.subject MODEL
dc.subject PROPAGATION
dc.subject PARAMETERS
dc.subject RESOLUTION
dc.subject FIELDS
dc.subject 0801 Artificial Intelligence and Image Processing
dc.subject 0903 Biomedical Engineering
dc.subject 0906 Electrical and Electronic Engineering
dc.subject 4009 Electronics, sensors and digital hardware
dc.subject 4603 Computer vision and multimedia computation
dc.title Characterizing Spatial Signatures of Gastric Electrical Activity Using Biomagnetic Source Localization
dc.type Journal Article
dc.identifier.doi 10.1109/tbme.2022.3174847
pubs.issue 11
pubs.begin-page 3551
pubs.volume 69
dc.date.updated 2024-02-13T13:30:11Z
dc.rights.holder Copyright: IEEE en
dc.identifier.pmid 35560086 (pubmed)
pubs.author-url https://ieeexplore.ieee.org/document/9774897
pubs.end-page 3558
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Research Support, Non-U.S. Gov't
pubs.subtype research-article
pubs.subtype Journal Article
pubs.subtype Research Support, N.I.H., Extramural
pubs.elements-id 903078
pubs.org-id Bioengineering Institute
pubs.org-id ABI Associates
dc.identifier.eissn 1558-2531
pubs.number 11
pubs.record-created-at-source-date 2024-02-14
pubs.online-publication-date 2022-10-19


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