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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Intracranial volume estimated with commonly used methods could introduce bias in studies including brain volume measurements
NeuroImage, Volume 83, Year 2013
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Description
In brain volumetric studies, intracranial volume (ICV) is often used as an estimate of pre-morbid brain size as well as to compensate for inter-subject variations in head size. However, if the estimated ICV is biased by for example gender or atrophy, it could introduce errors in study results. To evaluate how two commonly used methods for ICV estimation perform, computer assisted reference segmentations were created and evaluated. Segmentations were created for 399 MRI volumes from 75-year-old subjects, with 53 of these subjects having an additional scan and segmentation created at age 80. ICV estimates from Statistical Parametric Mapping (SPM, version 8) and Freesurfer (FS, version 5.1.0) were compared to the reference segmentations, and bias related to skull size (approximated with the segmentation measure), gender or atrophy were tested for. The possible ICV related effect on associations between normalized hippocampal volume and factors gender, education and cognition was evaluated by normalizing hippocampal volume with different ICV measures. Excellent agreement was seen for inter- (r. = 0.999) and intra- (r. = 0.999) operator reference segmentations. Both SPM and FS overestimated ICV. SPM showed bias associated with gender and atrophy while FS showed bias dependent on skull size. All methods showed good correlation between time points in the longitudinal data (reference: 0.998, SPM: 0.962, FS: 0.995). Hippocampal volume showed different associations with cognition and gender depending on which ICV measure was used for hippocampal volume normalization. These results show that the choice of method used for ICV estimation can bias results in studies including brain volume measurements. © 2013 The Authors.
Authors & Co-Authors
Larsson, Elna Marie
Sweden, Uppsala
Uppsala Universitet
Simmons, Andrew
United Kingdom, London
King's College London
United Kingdom, London
Nihr Maudsley Biomedical Research Centre
Brooks, Samantha Jane
Sweden, Uppsala
Uppsala Universitet
Lind, Lars L.
Sweden, Uppsala
Uppsala Universitet
Åhlström, Håkan K.
Sweden, Uppsala
Uppsala Universitet
Johansson, Lars O.M.
Sweden, Uppsala
Uppsala Universitet
Sweden, Sodertalje
Astrazeneca Sweden
Kullberg, Joel
Sweden, Uppsala
Uppsala Universitet
Statistics
Citations: 98
Authors: 7
Affiliations: 4
Identifiers
Doi:
10.1016/j.neuroimage.2013.06.068
ISSN:
10959572
Study Design
Cohort Study