Scientific journal paper Q2
Comparing SPM12 and CAT12 segmentation pipelines: a brain tissue volume-based age and Alzheimer's disease study
Vânia Tavares (Tavares, V. ); Diana Prata (Prata, D.); Hugo Alexandre Ferreira (Ferreira, H. A.);
Journal Title
Journal of Neuroscience Methods
Year (definitive publication)
2020
Language
English
Country
Netherlands
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Abstract
Background: Brain volumes have been used as research biomarkers both in health and in Alzheimer's disease(AD). In order to improve the comparability between studies and aid future analytical software platform choice in the research setting, here we compare two segmentation pipelines of structural brain magnetic resonance imaging(sMRI): the SPM12 toolbox, and a SPM12 add-on, the CAT12 toolbox. Methods: We segmented 1.5T and 3T T1-weighted sMRI images (from the OASIS-brain database) using both pipelines and compared them in terms of their impact on: 1)the effect of age on the total grey matter(GM) and white matter(WM), and on the hippocampi GM volumes in a healthy sample(n = 238); 2)the effect of AD diagnosis on the same volume measures; and 3)the accuracy of each volume measure detecting diagnosis (100 patients with AD and 78 age- and gender-matched healthy subjects). Results and comparison between methods: Our results demonstrated that: 1)volume estimates from SPM12 were highly correlated with the ones from CAT12, albeit absolute differences between pipelines were tissue specific; 2)the choice of pipeline modulated the effect of age on all volume measures and of diagnosis on hippocampi GM volumes computed from 3 T data; and 3)pipeline had no impact on the accuracy of any brain volume measure detecting AD diagnosis. Conclusions: Our findings indicate that other studies should take these pipeline effects on age and AD diagnosis, into account, for improved comparability in previous literature. Additionally, we encourage future studies to use CAT12 as this is a more advanced and computationally efficient brain segmentation tool.
Acknowledgements
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Keywords
Brain tissue segmentation,SPM12,CAT12,Alzheimer’s disease diagnosis,Biomarker,Aging
  • Biological Sciences - Natural Sciences
  • Medical Engineering - Engineering and Technology
  • Clinical Medicine - Medical and Health Sciences
  • Psychology - Social Sciences
Funding Records
Funding Reference Funding Entity
IF/00787/2014 Fundação para a Ciência e a Tecnologia
P50 AG05681 Bial Foundation
U24 RR021382 Bial Foundation
UIDB/03125/2020 Fundação para a Ciência e a Tecnologia
292/16 Bial Foundation
P20 MH071616 Bial Foundation
PD/BD/114460/2016 Fundação para a Ciência e a Tecnologia
R01 AG021910 Bial Foundation
DSAIPA/DS/0065/2018 Fundação para a Ciência e a Tecnologia
FP7-PEOPLE-2013-CIG-631952 Comissão Europeia
PTDC/MEC-PSQ/30907/2017 Fundação para a Ciência e a Tecnologia
P01 AG03991 Bial Foundation
P01 AG026276 Bial Foundation

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