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Lookup NU author(s): Dr Michael FirbankORCiD, Professor Andrew BlamireORCiD, Dr Andrew Teodorczuk, Professor John O'Brien
Hippocampal atrophy and posterior cingulate hypometabolism are common features of both Alzheimer's disease (AD) and dementia with Lewy bodies (DLB). These regions show correlated activity at rest as part of the 'default network', and they are connected by the cingulum, a white matter (WM) tract. We hypothesised that hippocampal atrophy would be associated with disruption of the cingulum, as determined by diffusion tensor imaging. We recruited 15 people with AD, 16 with DLB, and 15 healthy control subjects of similar age. They were scanned on a 1.5 T MRI system with a T1 weighted 3D sequence and diffusion tensor FLAIR imaging. The T1 images were segmented into grey and white matter and spatially normalised using SPM. Hippocampal atrophy was estimated by calculating the mean grey matter (GM) volume from a region of interest in standard space and global atrophy from the total CSF segmentation. Fractional anisotropy (FA) maps were calculated and also spatially normalised. Using SPM, a multivariate correlation of FA against hippocampal GM, global atrophy and disease group was performed. We found a bilateral region adjacent to the posterior cingulate and encompassing a branch of the cingulum where global atrophy correlated with fractional anisotropy, after controlling for diagnosis and hippocampal GM. The results suggest that dementia disease progression as measured by global atrophy is associated with disruption of the white matter which connects posterior cingulate and lateral parietal regions. Hence, in addition to the hypometabolism in these regions in AD and DLB, there is also disruption to the white matter connecting them. Future studies are needed to determine whether the disruption precedes or is consequent on atrophy or hypometabolism. © 2007 Elsevier Inc. All rights reserved.
Author(s): Firbank MJ, Blamire AM, Krishnan MS, Teodorczuk A, English P, Gholkar A, Harrison R, O'Brien JT
Publication type: Article
Publication status: Published
Journal: NeuroImage
Year: 2007
Volume: 36
Issue: 1
Pages: 1-7
ISSN (print): 1053-8119
ISSN (electronic): 1095-9572
Publisher: Elsevier
URL: http://dx.doi.org/10.1016/j.neuroimage.2007.02.027
DOI: 10.1016/j.neuroimage.2007.02.027
PubMed id: 17412610
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