Please use this identifier to cite or link to this item: https://doi.org/10.1155/2016/2947136
DC FieldValue
dc.titleMultilevel Deficiency of White Matter Connectivity Networks in Alzheimer's Disease: A Diffusion MRI Study with DTI and HARDI Models
dc.contributor.authorWang, T
dc.contributor.authorShi, F
dc.contributor.authorJin, Y
dc.contributor.authorYap, P.-T
dc.contributor.authorWee, C.-Y
dc.contributor.authorZhang, J
dc.contributor.authorYang, C
dc.contributor.authorLi, X
dc.contributor.authorXiao, S
dc.contributor.authorShen, D
dc.date.accessioned2020-11-19T09:39:15Z
dc.date.available2020-11-19T09:39:15Z
dc.date.issued2016
dc.identifier.citationWang, T, Shi, F, Jin, Y, Yap, P.-T, Wee, C.-Y, Zhang, J, Yang, C, Li, X, Xiao, S, Shen, D (2016). Multilevel Deficiency of White Matter Connectivity Networks in Alzheimer's Disease: A Diffusion MRI Study with DTI and HARDI Models. Neural Plasticity 2016 : 2947136. ScholarBank@NUS Repository. https://doi.org/10.1155/2016/2947136
dc.identifier.issn20905904
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/183724
dc.description.abstractAlzheimer's disease (AD) is the most common form of dementia in elderly people. It is an irreversible and progressive brain disease. In this paper, we utilized diffusion-weighted imaging (DWI) to detect abnormal topological organization of white matter (WM) structural networks. We compared the differences between WM connectivity characteristics at global, regional, and local levels in 26 patients with probable AD and 16 normal control (NC) elderly subjects, using connectivity networks constructed with the diffusion tensor imaging (DTI) model and the high angular resolution diffusion imaging (HARDI) model, respectively. At the global level, we found that the WM structural networks of both AD and NC groups had a small-world topology; however, the AD group showed a significant decrease in both global and local efficiency, but an increase in clustering coefficient and the average shortest path length. We further found that the AD patients had significantly decreased nodal efficiency at the regional level, as well as weaker connections in multiple local cortical and subcortical regions, such as precuneus, temporal lobe, hippocampus, and thalamus. The HARDI model was found to be more advantageous than the DTI model, as it was more sensitive to the deficiencies in AD at all of the three levels. @ 2016 Tao Wang et al.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectaged
dc.subjectAlzheimer disease
dc.subjectArticle
dc.subjectclinical article
dc.subjectconnectome
dc.subjectcontrolled study
dc.subjectcorpus callosum
dc.subjectdiffusion tensor imaging
dc.subjectdiffusion weighted imaging
dc.subjectfemale
dc.subjecthigh angular resolution diffusion imaging
dc.subjecthippocampus
dc.subjecthuman
dc.subjectmale
dc.subjectmodel
dc.subjectneuroimaging
dc.subjectprecuneus
dc.subjectpyramidal tract
dc.subjecttemporal lobe
dc.subjectthalamus
dc.subjectwhite matter
dc.subjectAlzheimer disease
dc.subjectdiffusion tensor imaging
dc.subjectmetabolism
dc.subjectmiddle aged
dc.subjectnerve cell network
dc.subjectpathology
dc.subjectvery elderly
dc.subjectwhite matter
dc.subjectAged
dc.subjectAged, 80 and over
dc.subjectAlzheimer Disease
dc.subjectDiffusion Magnetic Resonance Imaging
dc.subjectDiffusion Tensor Imaging
dc.subjectFemale
dc.subjectHumans
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectNerve Net
dc.subjectWhite Matter
dc.typeArticle
dc.contributor.departmentBIOMEDICAL ENGINEERING
dc.description.doi10.1155/2016/2947136
dc.description.sourcetitleNeural Plasticity
dc.description.volume2016
dc.description.page2947136
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