Literature DB >> 28882420

Age-related differences in the topological efficiency of the brain structural connectome in amnestic mild cognitive impairment.

Tengda Zhao1, Can Sheng2, Qiuhui Bi1, Weili Niu1, Ni Shu3, Ying Han4.   

Abstract

Amnestic mild cognitive impairment (aMCI) is accompanied by the accelerated cognitive decline and rapid brain degeneration with aging. However, the age-related alterations of the topological organization of the brain connectome in aMCI patients remained largely unknown. In this study, we constructed the brain structural connectome in 51 aMCI patients and 51 healthy controls by diffusion magnetic resonance imaging and deterministic tractography. The different age-related alteration patterns of the global and regional network metrics between aMCI patients and healthy controls were assessed by a linear regression model. Compared with healthy controls, significantly decreased global and local network efficiency in aMCI patients were found. When correlating network efficiency with age, we observed a significant decline in network efficiency with aging in the aMCI patients, while not in the healthy controls. The age-related decreases of nodal efficiency in aMCI patients were mainly distributed in the key regions of the default-mode network, such as precuneus, anterior cingulate gyrus, and parahippocampal gyrus. In addition, age-related decreases in the connection strength of the edges between peripheral nodes were observed in aMCI patients. Moreover, the decreased regional efficiency of the parahippocampal gyrus was correlated with impaired memory performances in patients. The present study suggests an age-related disruption of the topological organization of the brain structural connectome in aMCI patients, which may provide evidence for different neural mechanisms underlying aging in aMCI and may serve as a potential imaging marker for the early diagnosis of Alzheimer's disease.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Brain connectome; Diffusion MRI; Graph theory; Mild cognitive impairment; White matter

Mesh:

Year:  2017        PMID: 28882420     DOI: 10.1016/j.neurobiolaging.2017.08.005

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  10 in total

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10.  Prediction of Conversion From Amnestic Mild Cognitive Impairment to Alzheimer's Disease Based on the Brain Structural Connectome.

Authors:  Yu Sun; Qiuhui Bi; Xiaoni Wang; Xiaochen Hu; Huijie Li; Xiaobo Li; Ting Ma; Jie Lu; Piu Chan; Ni Shu; Ying Han
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  10 in total

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