Characterizing topological patterns in amnestic mild cognitive impairment by quantitative water diffusivity

Bing Zhang, Xin Zhang, Fang Zhang, Ming Li, Christopher G. Schwarz, Jiange Zhang, Zhenyu Yin, Lai Qian, Hui Zhao, Kun Wang, Chuanshuai Tian, Haiping Yu, Weibo Chen, Fangfei Lu, Wenbo Wu, Qing X. Yang, Yun Xu, Bin Zhua

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Mean diffusivity (MD) derived from diffusion tensor imaging has shown its ability to assess the microscopic structural integrity damage of gray matter in amnestic mild cognitive impairment (aMCI), a prodromal stage of Alzheimer's disease (AD). However, little is known about the small world topology networks constructed by cortical MD in cognitive disease. In this work, we measured the cortical MD in the entire brain in patients with aMCI (n = 30) and AD (n = 30) compared with cognitive-normal (CNs) controls (n = 30), and then constructed the cortical diffusivity network by using graph-theoretical analysis. Compared with CNs, patients with aMCI and AD showed abnormal small-world property of cortical diffusivity networks (higher degree of clustering and longer path length), reflecting a less optimal topological organization. Moreover, the mean degree of connections of network in aMCI patients was characterized by lower than CNs but higher than AD. In addition, 11 hub regions were identified by negative correlations between MD and the score of Montreal Cognitive Assessment after multiple regression analysis, including bilateral hippocampi and related limbic system. Among those hub regions, the connectivity of the right olfactory cortex and middle orbital gyrus to the rest of brain regions were disrupted earlier than the other 9 regions in aMCI when compared to CN. In conclusion, the change of cortical diffusivity in topological network organization, mean degree of connections, and disrupted hub regions in aMCI may serve to identify patients in the prodromal stage of AD and reflect microstructural deterioration of neurodegeneration.

Original languageEnglish (US)
Pages (from-to)687-697
Number of pages11
JournalJournal of Alzheimer's Disease
Volume43
Issue number2
DOIs
StatePublished - 2015
Externally publishedYes

Fingerprint

Alzheimer Disease
Water
Prodromal Symptoms
Limbic System
Diffusion Tensor Imaging
Aptitude
Brain
Prefrontal Cortex
Cluster Analysis
Cognitive Dysfunction
Hippocampus
Regression Analysis

Keywords

  • Alzheimer's disease
  • amnestic mild cognitive impairment
  • mean diffusivity
  • small world networks

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Geriatrics and Gerontology
  • Clinical Psychology

Cite this

Characterizing topological patterns in amnestic mild cognitive impairment by quantitative water diffusivity. / Zhang, Bing; Zhang, Xin; Zhang, Fang; Li, Ming; Schwarz, Christopher G.; Zhang, Jiange; Yin, Zhenyu; Qian, Lai; Zhao, Hui; Wang, Kun; Tian, Chuanshuai; Yu, Haiping; Chen, Weibo; Lu, Fangfei; Wu, Wenbo; Yang, Qing X.; Xu, Yun; Zhua, Bin.

In: Journal of Alzheimer's Disease, Vol. 43, No. 2, 2015, p. 687-697.

Research output: Contribution to journalArticle

Zhang, B, Zhang, X, Zhang, F, Li, M, Schwarz, CG, Zhang, J, Yin, Z, Qian, L, Zhao, H, Wang, K, Tian, C, Yu, H, Chen, W, Lu, F, Wu, W, Yang, QX, Xu, Y & Zhua, B 2015, 'Characterizing topological patterns in amnestic mild cognitive impairment by quantitative water diffusivity', Journal of Alzheimer's Disease, vol. 43, no. 2, pp. 687-697. https://doi.org/10.3233/JAD-140882
Zhang, Bing ; Zhang, Xin ; Zhang, Fang ; Li, Ming ; Schwarz, Christopher G. ; Zhang, Jiange ; Yin, Zhenyu ; Qian, Lai ; Zhao, Hui ; Wang, Kun ; Tian, Chuanshuai ; Yu, Haiping ; Chen, Weibo ; Lu, Fangfei ; Wu, Wenbo ; Yang, Qing X. ; Xu, Yun ; Zhua, Bin. / Characterizing topological patterns in amnestic mild cognitive impairment by quantitative water diffusivity. In: Journal of Alzheimer's Disease. 2015 ; Vol. 43, No. 2. pp. 687-697.
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AU - Yin, Zhenyu

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AU - Wang, Kun

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AU - Lu, Fangfei

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AU - Yang, Qing X.

AU - Xu, Yun

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