Preliminary Epilepsy Screening Using Multi- dimensional Brain Network Features

Preliminary Epilepsy Screening Using Multi- dimensional Brain Network Features | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Method Article Preliminary Epilepsy Screening Using Multi- dimensional Brain Network Features Yang Xi, Zhu Lan, TianYu Meng, Ying Chen, Lu Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7149592/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 10 You are reading this latest preprint version Abstract Epilepsy is a neurological disorder caused by abnormal neuronal activity, resulting in brain dysfunction. Preliminary screening and diagnosis during non-seizure periods are crucial, as they enable patients to better understand their condition, prepare for potential seizures, and identify optimal intervention opportunities. However, compared to obvious behavioural abnormalities during seizures, patients with epilepsy exhibit behaviour comparable to healthy individuals during non-seizure periods, making early detection challenging. Electroencephalogram (EEG) signals from patients with epilepsy exhibit complex spatiotemporal dynamics across multiple interconnected brain regions, offering valuable insights for preliminary screening. This study constructed a brain network during the interictal period of epilepsy using EEG data and integrated time-domain, frequency-domain, and nonlinear EEG features to comprehensively characterize the brain activity for patients with epilepsy. We developed a multimodal-gated graph convolutional network (MG-GCN) based on graph convolutional neural networks (GCNs). By incorporating a structure-aware regularization term, we improved the model's sensitivity to graph-based structural information in EEG data. Additionally, a cross-attention mechanism was employed to effectively fuse EEG signals, and brain networks, enabling preliminary screening and diagnosis. We found that there were differences in brain network structure between the interictal period of epilepsy and the resting state of healthy subjects in terms of functional connectivity and topological structure. Compared to existing methods, our model demonstrated superior performance, achieving an accuracy, sensitivity, specificity, F1-score, and precision of 95.08%, 94.61%, 96.03%, 94.65%, and 95.08%, respectively. The method proposed in this study achieves strong classification performance in the preliminary screening of interictal periods in epilepsy and offers a practical approach for auxiliary diagnosis during non-ictal phases. Epilepsy screening EEG brain network multi-dimensional feature fusion Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 20 Mar, 2026 Reviews received at journal 16 Mar, 2026 Reviewers agreed at journal 10 Mar, 2026 Reviewers agreed at journal 09 Mar, 2026 Reviews received at journal 30 Jan, 2026 Reviewers agreed at journal 08 Jan, 2026 Reviewers invited by journal 07 Sep, 2025 Editor assigned by journal 21 Jul, 2025 Submission checks completed at journal 18 Jul, 2025 First submitted to journal 17 Jul, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7149592","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Method Article","associatedPublications":[],"authors":[{"id":511394301,"identity":"f9b00222-3233-4535-b942-469181820a18","order_by":0,"name":"Yang Xi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAy0lEQVRIiWNgGAWjYBACxvkPEgw+/qmR42dvIFILc0PCg8KZDceMJXsOEKmFvSHxwWfOBubEDTcSiNTC23A4cTPjDjZjg5uPN95gqLGJJqhFsrEt2bjwjIyc5O20YguGY2m5DYS0GDbzpBnPYGMz5rudYybB2HCYsBb7Y/zff/OwMSc23DxDpBbGHoYEY9425sQJN3iI1TKDIcFwxhlQIAP9kkCMX0BaDD5UgKLy8MYbH2psCGtBBgYSCaQoh2ghVccoGAWjYBSMDAAAnnxEiBamnjoAAAAASUVORK5CYII=","orcid":"","institution":"Northeast Electric Power University","correspondingAuthor":true,"prefix":"","firstName":"Yang","middleName":"","lastName":"Xi","suffix":""},{"id":511394302,"identity":"a8217555-3b3b-4d8e-9348-6f6e726fd7eb","order_by":1,"name":"Zhu Lan","email":"","orcid":"","institution":"Northeast Electric Power University","correspondingAuthor":false,"prefix":"","firstName":"Zhu","middleName":"","lastName":"Lan","suffix":""},{"id":511394303,"identity":"33f7d9fa-d1b9-4e17-a167-b70650670092","order_by":2,"name":"TianYu Meng","email":"","orcid":"","institution":"Changchun University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"TianYu","middleName":"","lastName":"Meng","suffix":""},{"id":511394304,"identity":"2b79ffcb-a156-40dd-a13b-1c196a8111ba","order_by":3,"name":"Ying Chen","email":"","orcid":"","institution":"Northeast Electric Power University","correspondingAuthor":false,"prefix":"","firstName":"Ying","middleName":"","lastName":"Chen","suffix":""},{"id":511394305,"identity":"fa215533-1227-4e81-9058-266e29cbe822","order_by":4,"name":"Lu Zhang","email":"","orcid":"","institution":"Northeast Electric Power University","correspondingAuthor":false,"prefix":"","firstName":"Lu","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2025-07-17 13:38:15","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7149592/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7149592/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":91140801,"identity":"bbf39d29-0d59-4ac0-8a59-54d8795d54e2","added_by":"auto","created_at":"2025-09-12 04:36:52","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1472188,"visible":true,"origin":"","legend":"","description":"","filename":"manuscriptsnew.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7149592/v1_covered_dced502e-56a9-4bfb-9f09-ee9569698b9b.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Preliminary Epilepsy Screening Using Multi- dimensional Brain Network Features","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"memetic-computing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"meme","sideBox":"Learn more about [Memetic Computing](http://link.springer.com/journal/12289)","snPcode":"12293","submissionUrl":"https://submission.nature.com/new-submission/12293/3","title":"Memetic Computing","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Epilepsy screening, EEG, brain network, multi-dimensional feature fusion","lastPublishedDoi":"10.21203/rs.3.rs-7149592/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7149592/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eEpilepsy is a neurological disorder caused by abnormal neuronal activity, resulting in brain dysfunction. 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