Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Zhang, Junyinga; b; 1 | Liu, Zhena; b; 1 | Li, Zixiaoc; 1 | Wang, Yunxiaa; b | Chen, Yaojinga; b | Li, Xina; b | Chen, Keweia; d | Shu, Nia; b | Zhang, Zhanjuna; b; *
Affiliations: [a] State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China | [b] BABRI Centre, Beijing Normal University, Beijing, P. R. China | [c] Tiantan Clinical Trial and Research Center for Stroke, Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, P. R. China | [d] Banner Alzheimer’s Institute, Phoenix, AZ, USA
Correspondence: [*] Correspondence to: Zhanjun Zhang, MD, State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China. Tel.: +86 1058802005; Fax: +86 1058802005; E-mail: zhang_rzs@bnu.edu.cn.
Note: [1] These authors contributed equally to this work.
Abstract: Type 2 diabetes mellitus is accompanied by cognitive impairment and is associated with an increased risk of dementia. Damage to brain structures such as white matter network disruption may underlie this cognitive disturbance. In the present study, 886 non-diabetic and 163 type 2 diabetic participants completed a battery of neuropsychological tests. Among them, 38 diabetic patients and 34 non-diabetic participants that matched the patients for age/sex/education received a magnetic resonance imaging-based diffusion tensor imaging. Then we calculated the topological properties of the white matter network using a graph theoretical method to investigate network efficiency differences between groups. We found that type 2 diabetic patients had inferior performances compared to the non-diabetic controls, in several cognitive domains involving executive function, spatial processing, memory, and attention. We also found that diabetic patients exhibited a disrupted topological organization of the white matter network (including the global network properties, i.e., network strength, global efficiency, local efficiency and shortest path length, and the nodal efficiency of the right rolandic operculum) in the brain. Moreover, those global network properties and the nodal efficiency of the right rolandic operculum both had positive correlations with executive function in the patient group. The results suggest that type 2 diabetes mellitus leads to an alteration in the topological organization of the cortical white matter network and this alteration may account for the observed cognitive decline.
Keywords: Alzheimer’s disease, diffusion tensor imaging, graph theory, type 2 diabetes mellitus, white matter network
DOI: 10.3233/JAD-160111
Journal: Journal of Alzheimer's Disease, vol. 53, no. 1, pp. 185-195, 2016
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl