Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Battaglini, M; Gentile, G; Luchetti, L; Giorgio, A; Vrenken, H; Barkhof, F; Cover, KS; Bakshi, R; Chu, R; Sormani, MP; Enzinger, C; Ropele, S; Ciccarelli, O; Wheeler-Kingshott, C; Yiannakas, M; Filippi, M; Rocca, MA; Preziosa, P; Gallo, A; Bisecco, A; Palace, J; Kong, Y; Horakova, D; Vaneckova, M; Gasperini, C; Ruggieri, S; De Stefano, N; MAGNIMS Study Group.
Lifespan normative data on rates of brain volume changes.
Neurobiol Aging. 2019; 81(3):30-37
Doi: 10.1016/j.neurobiolaging.2019.05.010
Web of Science
PubMed
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- Co-Autor*innen der Med Uni Graz
- Enzinger Christian
- Ropele Stefan
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- Abstract:
- We provide here normative values of yearly percentage brain volume change (PBVC/y) as obtained with Structural Imaging Evaluation, using Normalization, of Atrophy, a widely used open-source software, developing a PBVC/y calculator for assessing the deviation from the expected PBVC/y in patients with neurological disorders. We assessed multicenter (34 centers, 11 acquisition protocols) magnetic resonance imaging data of 720 healthy participants covering the whole adult lifespan (16-90 years). Data of 421 participants with a follow-up > 6 months were used to obtain the normative values for PBVC/y and data of 392 participants with a follow-up <1 month were selected to assess the intrasubject variability of the brain volume measurement. A mixed model evaluated PBVC/y dependence on age, sex, and magnetic resonance imaging parameters (scan vendor and magnetic field strength). PBVC/y was associated with age (p < 0.001), with 60- to 70-year-old participants showing twice more volume decrease than participants aged 30-40 years. PBVC/y was also associated with magnetic field strength, with higher decreases when measured by 1.5T than 3T scanners (p < 0.001). The variability of PBVC/y normative percentiles was narrower as the interscan interval was longer (e.g., 80th normative percentile was 50% smaller for participants with 2-year than with 1-year follow-up). The use of these normative data, eased by the freely available calculator, might help in better discriminating pathological from physiological conditions in the clinical setting. Copyright © 2019. Published by Elsevier Inc.
- Find related publications in this database (Keywords)
- Normative data
- Atrophy
- Aging
- MRI
- Brain volume