期刊
HUMAN BRAIN MAPPING
卷 43, 期 15, 页码 4620-4639出版社
WILEY
DOI: 10.1002/hbm.25978
关键词
aging; brain morphometry; brain segmentation; intracranial volume; magnetic resonance imaging; methods comparison
资金
- Helse Sor-Ost RHF [2017-097, 2019-104, 2020-020]
- Norges Forskningsrad [213700, 223273, 250358]
- Stiftelsen Kristian Gerhard Jebsen [SKGJ-MED-008]
In this study, five commonly used intracranial volume (ICV) estimation methods were compared. The results showed high correlations among these methods, with variations influenced by head size. The findings of associations between ICV and age were both positive and negative, depending on the dataset and estimation method. Longitudinal analysis demonstrated ICV reductions in mid- to late adulthood, providing strong evidence for age-related ICV changes.
Intracranial volume (ICV) is frequently used in volumetric magnetic resonance imaging (MRI) studies, both as a covariate and as a variable of interest. Findings of associations between ICV and age have varied, potentially due to differences in ICV estimation methods. Here, we compared five commonly used ICV estimation methods and their associations with age. T1-weighted cross-sectional MRI data was included for 651 healthy individuals recruited through the NORMENT Centre (mean age = 46.1 years, range = 12.0-85.8 years) and 2410 healthy individuals recruited through the UK Biobank study (UKB, mean age = 63.2 years, range = 47.0-80.3 years), where longitudinal data was also available. ICV was estimated with FreeSurfer (eTIV and sbTIV), SPM12, CAT12, and FSL. We found overall high correlations across ICV estimation method, with the lowest observed correlations between FSL and eTIV (r = .87) and between FSL and CAT12 (r = .89). Widespread proportional bias was found, indicating that the agreement between methods varied as a function of head size. Body weight, age, sex, and mean ICV across methods explained the most variance in the differences between ICV estimation methods, indicating possible confounding for some estimation methods. We found both positive and negative cross-sectional associations with age, depending on dataset and ICV estimation method. Longitudinal ICV reductions were found for all ICV estimation methods, with annual percentage change ranging from -0.293% to -0.416%. This convergence of longitudinal results across ICV estimation methods offers strong evidence for age-related ICV reductions in mid- to late adulthood.
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