An EEG dataset of information impairment susceptibility during emotional audiovisual viewing

An EEG dataset of information impairment susceptibility during emotional audiovisual viewing | 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 data-descriptor An EEG dataset of information impairment susceptibility during emotional audiovisual viewing Junpeng Zhang, Zisheng Kang, Lifang Yang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8736428/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Electroencephalography (EEG) is a non-invasive, millisecond-resolution measure of brain activity widely used in emotion and cognition research. However, public EEG resources rarely pair standardized behavioral screening with neurophysiology, limiting work on individual vulnerability to information-related psychological impairment. We release the Information Impairment Susceptibility EEG Dataset (IIS-EEG): 33-channel EEG recorded at 1000 Hz from 12 healthy adult men selected via an extreme-group strategy from a larger questionnaire cohort. EEG was collected in one session during passive viewing of emotion-eliciting audiovisual clips under positive, neutral, and negative conditions, then segmented offline into condition-specific continuous recordings. Data are minimally preprocessed (no ICA cleaning), stored in FIF, and organized in EEG-BIDS; all files are de-identified and questionnaire responses are not shared. As a technical validation, leakage-free subject-wise decoding (2-s windows) showed EEGNet reached 0.685–0.720 subject-level BACC, exceeding a log-bandpower + balanced logistic regression baseline 0.505–0.575. IIS-EEG supports emotion EEG analyses, susceptibility research, and method benchmarking. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-8736428","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"data-descriptor","associatedPublications":[],"authors":[{"id":615035642,"identity":"0fd51e1c-00a5-49ef-9a72-09de4ac8bd8b","order_by":0,"name":"Junpeng Zhang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/UlEQVRIiWNgGAWjYBACxgYYSwJEVAAxM3MDDsVYtZwBaUGIEQAgLYxtqMZgBcwzco89+LijlkF+dvOzh1/n1UbztwO1/KjYhtthM/LSDWeeOc7AOOeYubHstuO5Mw4zNjD2nLmNR0uOmTRv2zEGZokEM2nJbcdyG4BamBnbCGj5C9TCJpH+TVpyzrHc+URpYWyrYeCRyDGT/NhQk7uBoJaeN+aGvW0HeCQkcsqkGY4dyN0I1HIQn18M23PMHvxsq5OTn5G+TfJHTV3uvPOHDz74UYFHSwMDG5A6zAPiMPMwHAaLHsCpHgjkGcBa6iCu/AFljIJRMApGwShABgC+CVl+oiVxVAAAAABJRU5ErkJggg==","orcid":"","institution":"Sichuan University","correspondingAuthor":true,"prefix":"","firstName":"Junpeng","middleName":"","lastName":"Zhang","suffix":""},{"id":615035643,"identity":"31a2c006-13a4-49bc-bfb1-c90111feac85","order_by":1,"name":"Zisheng Kang","email":"","orcid":"","institution":"Sichuan University","correspondingAuthor":false,"prefix":"","firstName":"Zisheng","middleName":"","lastName":"Kang","suffix":""},{"id":615035644,"identity":"acf5e586-7c52-4cb8-a712-7d05593cd494","order_by":2,"name":"Lifang Yang","email":"","orcid":"","institution":"Children's Hospital of Xi'an Jiaotong University","correspondingAuthor":false,"prefix":"","firstName":"Lifang","middleName":"","lastName":"Yang","suffix":""}],"badges":[],"createdAt":"2026-01-30 03:08:16","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8736428/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8736428/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":106415030,"identity":"5a50ee64-67b0-4353-9ab5-6dac9b03c0b5","added_by":"auto","created_at":"2026-04-08 10:32:12","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":608337,"visible":true,"origin":"","legend":"","description":"","filename":"AnEEGdatasetofinformationimpairmentsusceptibilityduringemotionalaudiovisualviewing.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8736428/v1_covered_3826d1da-666c-4ab3-a79e-e1cd5a2ac008.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"An EEG dataset of information impairment susceptibility during emotional audiovisual viewing","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"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":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-8736428/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8736428/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eElectroencephalography (EEG) is a non-invasive, millisecond-resolution measure of brain activity widely used in emotion and cognition research. However, public EEG resources rarely pair standardized behavioral screening with neurophysiology, limiting work on individual vulnerability to information-related psychological impairment. We release the Information Impairment Susceptibility EEG Dataset (IIS-EEG): 33-channel EEG recorded at 1000 Hz from 12 healthy adult men selected via an extreme-group strategy from a larger questionnaire cohort. EEG was collected in one session during passive viewing of emotion-eliciting audiovisual clips under positive, neutral, and negative conditions, then segmented offline into condition-specific continuous recordings. Data are minimally preprocessed (no ICA cleaning), stored in FIF, and organized in EEG-BIDS; all files are de-identified and questionnaire responses are not shared. 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