Large-scale High-resolution Computational Model on the Cerebral Cortex

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Large-scale High-resolution Computational Model on the Cerebral Cortex | 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 Article Large-scale High-resolution Computational Model on the Cerebral Cortex Yuxiu Shao, Chang Liu, Xinyu Wang, Da-Hui Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9253410/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract Large-scale brain models are pivotal for elucidating brain-wide dynamics, yet their integration with emerging high-resolution neuroimaging data remains limited. Here, we develop a high-resolution dynamical model of the human cerebral cortex comprising ∼60,000 vertices, which incorporates recent multiscale data on neurotransmitter receptor densities and structural connectivity. The model systematically recapitulates empirically observed spatiotemporal patterns across regimes: spontaneous resting-state activity including oscillations and traveling waves, stimulus-evoked propagation dynamics during full-field visual input, and distinct information flow patterns following focal cortical stimulation. By bridging microscale molecular architecture with macroscale dynamics, our framework establishes a new platform for interrogating the structure–dynamics–function relationship in health and disease. Biological sciences/Neuroscience/Computational neuroscience/Network models Biological sciences/Computational biology and bioinformatics/Computational models Computational model Cerebral cortex High resolution Traveling wave Full Text Additional Declarations There is NO Competing Interest. Supplementary Files Suppvideo2.mp4 Supplementary Video 2: Wave propagation of activity after 0.5s full-field stimulation of area V1 for t = 4–4.5s. Suppvideo5.mp4 Supplementary Video 5: Wave propagation of activity after 0.5s focal stimulation of area 7m for t = 4–4.5s. Suppvideo4.mp4 Supplementary Video 4: Wave propagation of activity after 0.5s focal stimulation of area 2 for t = 4–4.5s. Suppvideo1.mp4 Supplementary Video 1: Propagating waves in the resting state. Suppvideo3.mp4 Supplementary Video 3: Wave propagation of activity after 0.5s focal stimulation of area V1 for t = 4–4.5s. Cite Share Download PDF Status: Under Review 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. 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