干旱区生态环境知识资源中心(Arid): Effects of Brain Parcellation on the Characterization of Topological Deterioration in Alzheimer's Disease

Arid

DOI	10.3389/fnagi.2019.00113
	Effects of Brain Parcellation on the Characterization of Topological Deterioration in Alzheimer's Disease
	Wu, Zhanxiong 1,2; Xu, Dong 1,3; Potter, Thomas 2; Zhang, Yingchun 2
通讯作者	Zhang, Yingchun
来源期刊	FRONTIERS IN AGING NEUROSCIENCE
ISSN	1663-4365
出版年	2019
卷号	11
英文摘要	Alzheimer's disease (AD) causes the progressive deterioration of neural connections, disrupting structural connectivity (SC) networks within the brain. Graph-based analyses of SC networks have shown that topological properties can reveal the course of AD propagation. Different whole-brain parcellation schemes have been developed to define the nodes of these SC networks, although it remains unclear which scheme can best describe the AD-related deterioration of SC networks. In this study, four whole-brain parcellation schemes with different numbers of parcels were used to define SC network nodes. SC networks were constructed based on high angular resolution diffusion imaging (HARDI) tractography for a mixed cohort that includes 20 normal controls (NC), 20 early mild cognitive impairment (EMCI), 20 late mild cognitive impairment (LMCI), and 20 AD patients, from the Alzheimer's Disease Neuroimaging Initiative. Parcellation schemes investigated in this study include the OASIS-TRT-20 (62 regions), AAL (116 regions), HCP-MMP (180 regions), and Gordon-rsfMRl (333 regions), which have all been widely used for the construction of brain structural or functional connectivity networks. Topological characteristics of the SC networks, including the network strength, global efficiency, clustering coefficient, rich-club, characteristic path length, k-core, rich-club coefficient, and modularity, were fully investigated at the network level. Statistical analyses were performed on these metrics using Kruskal-Wallis tests to examine the group differences that were apparent at different stages of AD progression. Results suggest that the HCP-MMP scheme is the most robust and sensitive to AD progression, while the OASIS-TRT-20 scheme is sensitive to group differences in network strength, global efficiency, k-core, and rich-club coefficient at k-levels from 18 and 39. With the exception of the rich-club and modularity coefficients, ML could not significantly identify group differences on other topological metrics. Further, the Gordon-rsfMRl atlas only significantly differentiates the groups on network strength, characteristic path length, k-core, and rich-club coefficient. Results show that the topological examination of SC networks with different parcellation schemes can provide important complementary AD-related information and thus contribute to a more accurate and earlier diagnosis of AD.
英文关键词	Alzheimer's disease mild cognitive impairment high angular resolution diffusion imaging structural connectivity network fiber tracking
类型	Article
语种	英语
国家	Peoples R China ; USA
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000468468500001
WOS关键词	DIFFUSION TENSOR TRACTOGRAPHY ; NEUROIMAGING INITIATIVE ADNI ; GRAPH-THEORY ; EARLY MCI ; CONNECTIVITY ; MRI ; NETWORKS ; ORGANIZATION ; DEMENTIA ; DYNAMICS
WOS类目	Geriatrics & Gerontology ; Neurosciences
WOS研究方向	Geriatrics & Gerontology ; Neurosciences & Neurology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215743
作者单位	1.Hangzhou Dianzi Univ, Sch Elect Informat, Hangzhou, Zhejiang, Peoples R China; 2.Univ Houston, Dept Biomed Engn, Houston, TX 77004 USA; 3.Zhejiang Key Lab Equipment Elect, Hangzhou, Zhejiang, Peoples R China
推荐引用方式 GB/T 7714	Wu, Zhanxiong,Xu, Dong,Potter, Thomas,et al. Effects of Brain Parcellation on the Characterization of Topological Deterioration in Alzheimer's Disease[J],2019,11.
APA	Wu, Zhanxiong,Xu, Dong,Potter, Thomas,&Zhang, Yingchun.(2019).Effects of Brain Parcellation on the Characterization of Topological Deterioration in Alzheimer's Disease.FRONTIERS IN AGING NEUROSCIENCE,11.
MLA	Wu, Zhanxiong,et al."Effects of Brain Parcellation on the Characterization of Topological Deterioration in Alzheimer's Disease".FRONTIERS IN AGING NEUROSCIENCE 11(2019).