Intrinsic cortical geometry is associated with individual differences in local functional organization

Intrinsic cortical geometry is associated with individual differences in local functional organization | Research Square 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 Help Center Sign In Submit a Preprint Cite Share Download PDF Article Intrinsic cortical geometry is associated with individual differences in local functional organization Francesco Alberti, Pierre-Louis Bazin, R. Austin Benn, Robert Scholz, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9200088/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 It is widely accepted that the geometry of the cerebral cortex constrains its functional topography. However, how geometric properties contribute to individual differences in cortical organization has not been fully characterized. Here, we investigate whether cortical function varies with cortical geometry across individuals at the local or global scale. We characterize functional organization using the first three gradients of functional connectivity, and project individual surfaces into a shared embedding that captures their intrinsic geometry. Fitting localized spatial models within this embedding using lattice Kriging, we test whether interindividual variation of the gradients is linked to differences in spatial location. These models capture a common spatial structure underlying local gradient transitions across individuals, but do not capture differences in global gradient layout. This suggests that universal geometric properties shape the functional transitions between otherwise stable functional systems, meaningfully contributing to subject-specific functional topography. Biological sciences/Neuroscience/Cognitive neuroscience Biological sciences/Neuroscience/Computational neuroscience Full Text Additional Declarations There is NO Competing Interest. Supplementary Files SupplementaryInformation.docx Supplementary Information 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. Also discoverable on Platform About Our Team In Review Editorial Policies 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

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