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Comparison of cortical and subcortical structural segmentation methods in Alzheimer’s disease: A statistical approach

Zamani, Jafar, Sadr, Ali, Javadi, Amir-Homayoun (2022) Comparison of cortical and subcortical structural segmentation methods in Alzheimer’s disease: A statistical approach. Journal of Clinical Neuroscience, 99 . pp. 99-108. ISSN 0967-5868. (doi:10.1016/j.jocn.2022.03.004) (KAR id:94851)

Abstract

Background. Automated segmentation methods are developed to help with the segmentation of different brain areas. However, their reliability has yet to be fully investigated. To have a more comprehensive understanding of the distribution of changes in Alzheimer’s disease (AD), as well as investigating the reliability of different segmentation methods, in this study we compared volumes of cortical and subcortical brain segments, using HIPS, volBrain, CAT and BrainSuite automated segmentation methods between AD, mild cognitive impairment (MCI) and healthy controls (HC).

Methods. A total of 182 MRI images were taken from the minimal interval resonance imaging in Alzheimer's disease (MIRIAD; 22 AD and 22 HC) and the Alzheimer’s disease neuroimaging initiative database (ADNI; 43 AD, 50 MCI and 45 HC) datasets. Statistical methods were used to compare different groups as well as the correlation between different methods.

Results. The two methods of volBrain and CAT showed a strong correlation (p’s<0.035 Bonferroni corrected for multiple comparisons). The two methods, however, showed no significant correlation with BrainSuite (p’s>0.820 Bonferroni corrected). Furthermore, BrainSuite did not follow the same trend as the other three methods and only HIPS, volBrain and CAT showed strong conformity with the past literature with strong correlation with mini mental state examination (MMSE) scores.

Conclusion. Our results showed that automated segmentation methods HIPS, volBrain and CAT can be used in the classification of HC, AD and MCI. This is an indication that such methods can be used to inform researchers and clinicians of underlying mechanisms and progression of AD.

Item Type: Article
DOI/Identification number: 10.1016/j.jocn.2022.03.004
Uncontrolled keywords: volumetric T1-MRI; atrophy; automatic segmentation; dementia; volBrain; CAT; BrainSuite; HIPS
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Divisions > Division of Human and Social Sciences > School of Psychology
Depositing User: Amir-Homayoun Javadi
Date Deposited: 03 May 2022 09:17 UTC
Last Modified: 09 Mar 2023 00:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/94851 (The current URI for this page, for reference purposes)

University of Kent Author Information

Javadi, Amir-Homayoun.

Creator's ORCID: https://orcid.org/0000-0003-0569-6441
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