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2026 / bioRxiv / Preprint · not peer reviewed

Charting Cervical Spinal Cord Morphometry Across the Lifespan

Kurt G. Schilling et al. · Last author: Bennett A. Landman · Show all 41 authors

Kurt G. Schilling, Michael E. Kim, Matthew Amandola, Chenyu Gao, Karthik Ramadass, Praitayini Kanakaraj, Sam Bogdanov, Gaurav Rudravaram, Nancy R. Newlin, Derek Archer, Timothy J. Hohman, Angela L. Jefferson, Victoria L. Morgan, Alexandra Roche, Dario J. Englot, Murat Bilgel, Lori L. Beason Held, Luigi Ferrucci, Laurie Cutting, Laura A. Barquero, Micah A. D’archangel, Tin Q. Nguyen, Kathryn L. Humphreys, Yanbin Niu, Sophia Vinci-Booher, Carissa J. Cascio, The HABS-HD Study Team, Alzheimer’s Disease Neuroimaging Initiative, The BIOCARD Study Team, Zhiyuan Li, Daniel Moyer, Simon N. Vandekar, Panpan Zhang, Samuelle St-Onge, Sandrine Bédard, Jan Valošek, Benjamin De Leener, Julien Cohen-Adad, John C. Gore, Seth Smith, Bennett A. Landman

Preprint · This work has not completed peer review.

Summary

This preprint develops cervical spinal cord reference charts using 78,269 scans from 41,042 individuals across 30 datasets. Measurements from C1 to C7 capture size and shape from birth to age 100. The charts reveal regional and sex differences and support age-adjusted comparison of individual cord measurements.

Study overview

Normative reference data are needed to interpret spinal cord size and shape across the lifespan. This preprint combines brain MRI datasets with cervical coverage and applies contrast-agnostic segmentation to 78,269 scans from 41,042 individuals aged 0–100. Measurements include cross-sectional area, diameters, and shape indices across C1–C7. The resulting models show rapid growth in childhood and adolescence, maturation in early-to-mid adulthood, and later decline, with regional and sex-related differences. Cord trajectories also show temporal relationships with brain white matter and brainstem volumes. The released framework is designed for age- and sex-specific centile scoring, with further validation needed beyond this preprint report.

Main findings

  • Uses 30 datasets and 41,042 individuals spanning ages 0–100.
  • Models size and shape at cervical levels C1–C7.
  • Cross-sectional area typically peaks in the mid-30s before decreasing.
Lifespan trajectories, rates of change, and population variability in cervical spinal cord morphometry.
Kurt G. Schilling et al. (2026), Figure 3. Lifespan trajectories, rates of change, and population variability in cervical spinal cord morphometry. Source · License · Select the figure to view at full size.

Cite this work

Kurt G. Schilling et al. · Last author: Bennett A. Landman (2026). Charting Cervical Spinal Cord Morphometry Across the Lifespan. bioRxiv. https://doi.org/10.64898/2026.06.03.729823

This page summarizes the work; consult the original article for the complete methods, results, and qualifications.