Neural Oscillation and Connectivity Dynamics Underlying Motor Cognitive Dual Task Performance

Neural Oscillation and Connectivity Dynamics Underlying Motor Cognitive Dual Task Performance | 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 Research Article Neural Oscillation and Connectivity Dynamics Underlying Motor Cognitive Dual Task Performance Miaomiao Guo, Qi Wang, Lei Wang, Mengfan Li, Liang Sun, Tian Wang, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7078855/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 Motor cognitive dual task training is increasingly utilized in rehabilitation for engaging multisensory and enhancing cognition, but its neural mechanisms remain unclear. Resting-state EEG data were collected from 26 participants (13 engaged in single-task, 13 in dual-task) before and after the training sessions, with analysis focusing on behavior, spectral power, and brain networks constructed using weighted phase lag index (wPLI). Key findings included: 1) Behavioral performance in the dual-task condition was significantly poorer than that in the single-task condition; 2) Dual-task training resulted in an increase in delta-band power alongside decreases in theta and beta band power, with indications suggesting that right frontal regions may function as a central hub for resource coordination; 3) Post-dual-task resting-state networks exhibited broad connectivity increases, particularly in beta band subnetworks spanning frontal, parietal, temporal, occipital and central regions, alongside left-hemisphere-dominant information flow. The results indicates that dual-task training influences cognition through oscillatory reorganization, followed by subnetwork consolidation and spatial resource optimization. This study provides valuable electrophysiological insights into the mechanisms underlying dual-task training and offers guidance for developing non-invasive rehabilitation interventions. Motor cognitive dual task EEG Relative power spectral density Brain function networks Lateralization Full Text Additional Declarations No competing interests reported. Supplementary Files Additionalfile1.xls Additionalfile2.xls Additionalfile3.xls Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 10 Oct, 2025 Reviews received at journal 04 Sep, 2025 Reviews received at journal 15 Aug, 2025 Reviewers agreed at journal 11 Aug, 2025 Reviewers agreed at journal 04 Aug, 2025 Reviewers invited by journal 04 Aug, 2025 Editor invited by journal 10 Jul, 2025 Editor assigned by journal 09 Jul, 2025 Submission checks completed at journal 09 Jul, 2025 First submitted to journal 08 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. 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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-7078855","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":495563215,"identity":"c65a4752-50cc-4d52-9dfc-101fe2b6a4db","order_by":0,"name":"Miaomiao Guo","email":"","orcid":"","institution":"Hebei University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Miaomiao","middleName":"","lastName":"Guo","suffix":""},{"id":495563219,"identity":"1e7ac95a-005e-4e4f-ac34-9b7537b042a3","order_by":1,"name":"Qi Wang","email":"","orcid":"","institution":"Hebei University of 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