Longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and Alzheimer’s Disease
Background: Alzheimer’s disease (AD) is associated with marked brain atrophy. While commonly used structural MRI imaging methods do not account for the complexity of human brain morphology, little is known about the longitudinal changes of cortical geometry and their relationship with cognitive decl...
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Format: | Article |
Language: | English |
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Elsevier
2023-01-01
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Series: | NeuroImage: Clinical |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158223000608 |
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author | Tobias Bachmann Matthias L. Schroeter Kewei Chen Eric M. Reiman Christopher M. Weise |
author_facet | Tobias Bachmann Matthias L. Schroeter Kewei Chen Eric M. Reiman Christopher M. Weise |
author_sort | Tobias Bachmann |
collection | DOAJ |
description | Background: Alzheimer’s disease (AD) is associated with marked brain atrophy. While commonly used structural MRI imaging methods do not account for the complexity of human brain morphology, little is known about the longitudinal changes of cortical geometry and their relationship with cognitive decline in subjects with AD. Methods: Data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) were used to perform two-sample t-tests to investigate longitudinal changes of cortical thickness (CTh) and three surface-based morphometry measures: fractal dimension (i.e. cortical complexity; FD), gyrification index (GI), and sulcal depth (SD) in subjects with AD, amnestic mild cognitive impairment (aMCI) in comparison to cognitively unimpaired controls (CU) in baseline and 2-year follow-up sMRI scans. In addition, correlations of the morphological measures with two-year cognitive decline as assessed by the modified AD Assessment Scale-Cognitive Subscale (ADAS-Cog 11) were calculated via regression analyses. Results: Compared to CU, both AD and aMCI showed marked decreases in CTh. In contrast, analyses of FD and GI yielded a more nuanced decline of the respective measures with some areas showing increases in FD and GI. Overall changes in FD and GI were more pronounced in AD as compared to aMCI. Analyses of SD yielded widespread decreases. Interestingly, cognitive decline corresponded well with CTh declines in aMCI but not AD, whereas changes in FD corresponded with AD only but not aMCI, whereas GI and SD were associated with cognitive decline in aMCI and AD. Conclusion: Patterns of longitudinal changes in FD, GI and SD were only partially overlapping with CTh reductions. In AD, surface-based morphometry measures for brain-surface complexity showed better correspondence than CTh with cognitive decline over a two-year period of time. Being drawn from measures reflecting changes in more intricate aspects of human brain morphology, these data provide new insight into the complexity of AD-related brain atrophy and its relationship with cognitive decline. |
first_indexed | 2024-03-13T05:28:34Z |
format | Article |
id | doaj.art-8fa1fe0de95c42c0b797e1a8570e86b6 |
institution | Directory Open Access Journal |
issn | 2213-1582 |
language | English |
last_indexed | 2024-03-13T05:28:34Z |
publishDate | 2023-01-01 |
publisher | Elsevier |
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series | NeuroImage: Clinical |
spelling | doaj.art-8fa1fe0de95c42c0b797e1a8570e86b62023-06-15T04:55:43ZengElsevierNeuroImage: Clinical2213-15822023-01-0138103371Longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and Alzheimer’s DiseaseTobias Bachmann0Matthias L. Schroeter1Kewei Chen2Eric M. Reiman3Christopher M. Weise4University of Leipzig Medical Center, Department of Neurology, Germany; Corresponding author at: University of Leipzig, Department of Neurology, Liebigstr. 20, 04103 Leipzig, Germany.Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Leipzig, Germany; Clinic of Cognitive Neurology, University Hospital Leipzig, Leipzig, GermanyBanner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer’s Consortium, Phoenix, AZ, USA; School of Mathematics and Statistics (KC), Neurodegenerative Disease Research Center (EMR), Arizona State University, USA; Department of Neurology, College of Medicine – Phoenix (KC), Department of Psychiatry (EMR), University of Arizona, USABanner Alzheimer's Institute, Phoenix, AZ, USA; Neurogenomics Division, Translational Genomics Research Institute, University of Arizona, and Arizona State University, Phoenix, AZ, USA; Arizona Alzheimer’s Consortium, Phoenix, AZ, USA; Department of Neurology, College of Medicine – Phoenix (KC), Department of Psychiatry (EMR), University of Arizona, USA; Banner-Arizona State University Neurodegenerative Disease Research Center, BioDesign Institute, Arizona State, University, Tempe, AZ, USAUniversity of Leipzig Medical Center, Department of Neurology, Germany; University of Halle Medical Center, Department of Neurology, GermanyBackground: Alzheimer’s disease (AD) is associated with marked brain atrophy. While commonly used structural MRI imaging methods do not account for the complexity of human brain morphology, little is known about the longitudinal changes of cortical geometry and their relationship with cognitive decline in subjects with AD. Methods: Data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) were used to perform two-sample t-tests to investigate longitudinal changes of cortical thickness (CTh) and three surface-based morphometry measures: fractal dimension (i.e. cortical complexity; FD), gyrification index (GI), and sulcal depth (SD) in subjects with AD, amnestic mild cognitive impairment (aMCI) in comparison to cognitively unimpaired controls (CU) in baseline and 2-year follow-up sMRI scans. In addition, correlations of the morphological measures with two-year cognitive decline as assessed by the modified AD Assessment Scale-Cognitive Subscale (ADAS-Cog 11) were calculated via regression analyses. Results: Compared to CU, both AD and aMCI showed marked decreases in CTh. In contrast, analyses of FD and GI yielded a more nuanced decline of the respective measures with some areas showing increases in FD and GI. Overall changes in FD and GI were more pronounced in AD as compared to aMCI. Analyses of SD yielded widespread decreases. Interestingly, cognitive decline corresponded well with CTh declines in aMCI but not AD, whereas changes in FD corresponded with AD only but not aMCI, whereas GI and SD were associated with cognitive decline in aMCI and AD. Conclusion: Patterns of longitudinal changes in FD, GI and SD were only partially overlapping with CTh reductions. In AD, surface-based morphometry measures for brain-surface complexity showed better correspondence than CTh with cognitive decline over a two-year period of time. Being drawn from measures reflecting changes in more intricate aspects of human brain morphology, these data provide new insight into the complexity of AD-related brain atrophy and its relationship with cognitive decline.http://www.sciencedirect.com/science/article/pii/S2213158223000608 |
spellingShingle | Tobias Bachmann Matthias L. Schroeter Kewei Chen Eric M. Reiman Christopher M. Weise Longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and Alzheimer’s Disease NeuroImage: Clinical |
title | Longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and Alzheimer’s Disease |
title_full | Longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and Alzheimer’s Disease |
title_fullStr | Longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and Alzheimer’s Disease |
title_full_unstemmed | Longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and Alzheimer’s Disease |
title_short | Longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and Alzheimer’s Disease |
title_sort | longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and alzheimer s disease |
url | http://www.sciencedirect.com/science/article/pii/S2213158223000608 |
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