{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T07:32:51Z","timestamp":1788247971941,"version":"build-2803163510"},"reference-count":87,"publisher":"MIT Press","license":[{"start":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T00:00:00Z","timestamp":1733788800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["direct.mit.edu"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,1,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Quantitative MRI (qMRI) promises better specificity, accuracy, repeatability, and reproducibility relative to its clinically-used qualitative MRI counterpart. Longitudinal reproducibility is particularly important in qMRI. The goal is to reliably quantify tissue properties that may be assessed in longitudinal clinical studies throughout disease progression or during treatment. In this work, we present the initial data release of the quantitative MRI portion of the Courtois project on neural modelling (CNeuroMod), where the brain and cervical spinal cord of six participants were scanned at regular intervals over the course of several years. This first release includes 3 years of data collection and up to 10 sessions per participant using quantitative MRI imaging protocols (T1, magnetization transfer (MTR, MTsat), and diffusion). In the brain, T1MP2RAGE, fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD) all exhibited high longitudinal reproducibility (intraclass correlation coefficient \u2013 ICC \u2243 1 and within-subject coefficient of variations \u2013 wCV &amp;lt; 1%). The spinal cord cross-sectional area (CSA) computed using T2w images and T1MTsat exhibited the best longitudinal reproducibility (ICC \u2243 1 and 0.7 respectively, and wCV 2.4% and 6.9%). Results from this work show the level of longitudinal reproducibility that can be expected from qMRI protocols in the brain and spinal cord in the absence of hardware and software upgrades, and could help in the design of future longitudinal clinical studies.<\/jats:p>","DOI":"10.1162\/imag_a_00409","type":"journal-article","created":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T23:45:56Z","timestamp":1733874356000},"update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":10,"title":["Longitudinal reproducibility of brain and spinal cord quantitative MRI biomarkers"],"prefix":"10.1162","volume":"3","author":[{"given":"Mathieu","family":"Boudreau","sequence":"first","affiliation":[{"name":"NeuroPoly, Polytechnique Montreal, Montreal, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Agah","family":"Karakuzu","sequence":"additional","affiliation":[{"name":"NeuroPoly, Polytechnique Montreal, Montreal, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arnaud","family":"Bor\u00e9","sequence":"additional","affiliation":[{"name":"Centre de Recherche de l\u2019Institut Universitaire de G\u00e9riatrie de Montr\u00e9al (CRIUGM), Montreal, QC, Canada"},{"name":"Unit\u00e9 de Neuroimagerie Fonctionnelle (UNF), Centre de Recherche de l\u2019Institut Universitaire de G\u00e9riatrie de Montr\u00e9al (CRIUGM), Montreal, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Basile","family":"Pinsard","sequence":"additional","affiliation":[{"name":"Centre de Recherche de l\u2019Institut Universitaire de G\u00e9riatrie de Montr\u00e9al (CRIUGM), Montreal, QC, Canada"},{"name":"Unit\u00e9 de Neuroimagerie Fonctionnelle (UNF), Centre de Recherche de l\u2019Institut Universitaire de G\u00e9riatrie de Montr\u00e9al (CRIUGM), Montreal, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kiril","family":"Zelenkovski","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science and Engineering (FINKI), Skopje, Macedonia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eva","family":"Alonso-Ortiz","sequence":"additional","affiliation":[{"name":"NeuroPoly, Polytechnique Montreal, Montreal, QC, Canada"},{"name":"Centre de recherche du CHU Sainte-Justine, Universit\u00e9 de Montr\u00e9al, Montreal, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julie","family":"Boyle","sequence":"additional","affiliation":[{"name":"Centre de Recherche de l\u2019Institut Universitaire de G\u00e9riatrie de Montr\u00e9al (CRIUGM), Montreal, QC, Canada"},{"name":"Unit\u00e9 de Neuroimagerie Fonctionnelle (UNF), Centre de Recherche de l\u2019Institut Universitaire de G\u00e9riatrie de Montr\u00e9al (CRIUGM), Montreal, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lune","family":"Bellec","sequence":"additional","affiliation":[{"name":"Centre de Recherche de l\u2019Institut Universitaire de G\u00e9riatrie de Montr\u00e9al (CRIUGM), Montreal, QC, Canada"},{"name":"Unit\u00e9 de Neuroimagerie Fonctionnelle (UNF), Centre de Recherche de l\u2019Institut Universitaire de G\u00e9riatrie de Montr\u00e9al (CRIUGM), Montreal, QC, Canada"},{"name":"Psychology Department, Universit\u00e9 de Montr\u00e9al, Montreal, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julien","family":"Cohen-Adad","sequence":"additional","affiliation":[{"name":"NeuroPoly, Polytechnique Montreal, Montreal, QC, Canada"},{"name":"Unit\u00e9 de Neuroimagerie Fonctionnelle (UNF), Centre de Recherche de l\u2019Institut Universitaire de G\u00e9riatrie de Montr\u00e9al (CRIUGM), Montreal, QC, Canada"},{"name":"Centre de recherche du CHU Sainte-Justine, Universit\u00e9 de Montr\u00e9al, Montreal, QC, Canada"},{"name":"Mila - 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