{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T14:50:50Z","timestamp":1791471050781,"version":"4.3.4"},"posted":{"date-parts":[[2026,6,8]]},"group-title":"Neuroscience","reference-count":61,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T00:00:00Z","timestamp":1780876800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"award":["K01-EB032898"],"award-info":[{"award-number":["K01-EB032898"]}],"id":[{"id":"https:\/\/ror.org\/01cwqze88","id-type":"ROR","asserted-by":"publisher"}]},{"award":["K01-AG073584"],"award-info":[{"award-number":["K01-AG073584"]}],"id":[{"id":"https:\/\/ror.org\/01cwqze88","id-type":"ROR","asserted-by":"publisher"}]},{"award":["1R01EB017230-01A1"],"award-info":[{"award-number":["1R01EB017230-01A1"]}],"id":[{"id":"https:\/\/ror.org\/01cwqze88","id-type":"ROR","asserted-by":"publisher"}]},{"award":["K24-AG046373"],"award-info":[{"award-number":["K24-AG046373"]}],"id":[{"id":"https:\/\/ror.org\/01cwqze88","id-type":"ROR","asserted-by":"publisher"}]},{"award":["UL1-TR000445"],"award-info":[{"award-number":["UL1-TR000445"]}],"id":[{"id":"https:\/\/ror.org\/01cwqze88","id-type":"ROR","asserted-by":"publisher"}]},{"award":["UL1-TR002243"],"award-info":[{"award-number":["UL1-TR002243"]}],"id":[{"id":"https:\/\/ror.org\/01cwqze88","id-type":"ROR","asserted-by":"publisher"}]},{"name":"National Institutes of Health","award":["R21MH101321"],"award-info":[{"award-number":["R21MH101321"]}]},{"name":"National Institutes of Health","award":["R01MH102272"],"award-info":[{"award-number":["R01MH102272"]}]},{"name":"National Institutes of Health","award":["R01-HD114489"],"award-info":[{"award-number":["R01-HD114489"]}]},{"name":"National Institutes of Health","award":["U24 AG074855"],"award-info":[{"award-number":["U24 AG074855"]}]},{"name":"National Institutes of Health","award":["U01 AG068057"],"award-info":[{"award-number":["U01 AG068057"]}]},{"name":"National Institutes of Health","award":["R01 AG059716"],"award-info":[{"award-number":["R01 AG059716"]}]},{"name":"European Union\u2019s Horizon Europe research and innovation programme","award":["101107932"],"award-info":[{"award-number":["101107932"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,10,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:p>Spinal cord morphometry provides essential biomarkers of neurological health, but clinical interpretations are confounded by inter-subject variability and a lack of normative references across the full human lifespan. We address this gap by generating the first comprehensive lifespan charts for cervical spinal cord morphometry. From 78,269 T1-weighted brain MRI sessions, we identified a final cross-sectional cohort of 24,251 healthy or cognitively normal controls from 33 datasets (ages 0-100 years) with cervical cord coverage. To overcome contrast variability, we employed a state-of-the-art contrast-agnostic deep learning segmentation method, extracting cross-sectional area (CSA), anteroposterior (AP) and right\u2013left (RL\/transverse), and shape indices (AP\/RL ratio, eccentricity, and solidity) from C1 to C7. Normative trajectories were modeled using Generalized Additive Models for Location, Scale, and Shape (GAMLSS). The resulting charts reveal distinct non-linear lifespan changes: rapid growth through childhood and adolescence, peak maturation occurring in early-to-mid adulthood (e.g., mid-30s for CSA), followed by gradual decreases. Significant regional variations along the cervical cord and consistent sex differences (males &gt; females for size metrics) were quantified. Spinal cord trajectories showed strong temporal coupling with brain white matter and brainstem volumes, suggesting integrated CNS development and aging. These lifespan charts provide a robust normative framework, enabling age- and sex-specific centile scoring of individual spinal cord morphometry. This resource offers a critical tool for differentiating typical variation from pathological changes, enhancing the clinical utility of spinal cord MRI in studies of development and neurodegeneration.<\/jats:p>","DOI":"10.64898\/2026.06.03.729823","type":"posted-content","created":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T22:20:18Z","timestamp":1780957218000},"source":"Crossref","is-referenced-by-count":0,"title":["Charting Cervical Spinal Cord Morphometry Across the Lifespan"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3686-7645","authenticated-orcid":false,"given":"Kurt G.","family":"Schilling","sequence":"first","affiliation":[{"name":"Vanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, TN, USA,"},{"name":"Vanderbilt University Institute of Imaging Science, Nashville, TN, 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