Normative volumes and relaxation times at 3T during brain development

• Published in: Scientific data Vol. 11; no. 1; pp. 429 - 8
• Main Authors: Romascano, David, Piredda, Gian Franco, Caneschi, Samuele, Hilbert, Tom, Corredor, Ricardo, Maréchal, Bénédicte, Kober, Tobias, Ledoux, Jean-Baptiste, Fornari, Eleonora, Hagmann, Patric, Denervaud, Solange
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 25.04.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/378/2571/1696; 692/617; Adolescent; Age; Biomarkers; Brain - diagnostic imaging; Brain - growth & development; Brain research; Child; Child, Preschool; Cohort analysis; Consent; Data Descriptor; Female; Females; Gray Matter - diagnostic imaging; Humanities and Social Sciences; Humans; Magnetic Resonance Imaging; Male; Mapping; Medical imaging; multidisciplinary; Neuroimaging; Patients; Pediatrics; Science; Science (multidisciplinary); Substantia alba; Substantia grisea; White Matter - diagnostic imaging; White Matter - growth & development
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-024-03267-3

While research has unveiled and quantified brain markers of abnormal neurodevelopment, clinicians still work with qualitative metrics for MRI brain investigation. The purpose of the current article is to bridge the knowledge gap between case-control cohort studies and individual patient care. Here, we provide a unique dataset of seventy-three 3-to-17 years-old healthy subjects acquired with a 6-minute MRI protocol encompassing T1 and T2 relaxation quantitative sequence that can be readily implemented in the clinical setting; MP2RAGE for T1 mapping and the prototype sequence GRAPPATINI for T2 mapping. White matter and grey matter volumes were automatically quantified. We further provide normative developmental curves based on these two imaging sequences; T1, T2 and volume normative ranges with respect to age were computed, for each ROI of a pediatric brain atlas. This open-source dataset provides normative values allowing to position individual patients acquired with the same protocol on the brain maturation curve and as such provides potentially useful quantitative biomarkers facilitating precise and personalized care.