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We address this gap by generating the first comprehensive lifespan charts for cervical spinal cord morphometry. From 78,269\u2009T1\u2010weighted brain MRI sessions, we identified a final cross\u2010sectional cohort of 24,251 healthy or cognitively normal controls from 33 datasets (ages 0\u2013100\u2009years) with cervical cord coverage. To overcome contrast variability, we employed a state\u2010of\u2010the\u2010art contrast\u2010agnostic deep learning segmentation method, extracting cross\u2010sectional 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\u2010linear lifespan changes: rapid growth through childhood and adolescence, peak maturation occurring in early\u2010to\u2010mid adulthood (e.g., mid\u201030s for CSA), followed by gradual decreases. Significant regional variations along the cervical cord and consistent sex differences (males\u2009&gt;\u2009females 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\u2010 and sex\u2010specific 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":"10.1002\/hbm.70658","type":"journal-article","created":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T10:37:11Z","timestamp":1792665431000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Charting Cervical Spinal Cord Morphometry Across the Lifespan"],"prefix":"10.1002","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3686-7645","authenticated-orcid":false,"given":"Kurt G.","family":"Schilling","sequence":"first","affiliation":[{"name":"Department of Radiology and Radiological Sciences Vanderbilt University Medical Center  Nashville Tennessee USA"},{"name":"Vanderbilt University Institute of Imaging Science  Nashville Tennessee 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