Literature DB >> 34382716

Diffusion Tensor Imaging Reveals Altered Topological Efficiency of Structural Networks in Type-2 Diabetes Patients With and Without Mild Cognitive Impairment.

Ying Xiong1, Tian Tian1, Yang Fan2, Shaolin Yang3, Xiaoxiao Xiong4, Qiang Zhang4, Wenzhen Zhu1.   

Abstract

BACKGROUND: Some patients with type 2 diabetes mellitus (T2DM) progress towards mild cognitive impairment (MCI), while some patients can always maintain normal cognitive function. Network topologic alterations at global and nodal levels between T2DM individuals with and without cognitive impairment may underlie the difference.
PURPOSE: To investigate the topological alterations of the whole-brain white matter (WM) structural connectome in T2DM patients with and without MCI and characterize its relationship with disease severity. STUDY TYPE: Cross-sectional and prospective study.
SUBJECTS: Forty-four (63.6% females) T2DM patients, 22 with mild cognitive impairment (DM-MCI) and 22 with normal cognition (DM-NC), and 34 (58.8% females) healthy controls (HC). FIELD STRENGTH/SEQUENCE: 3 T/diffusion tensor imaging. ASSESSMENT: Graph theoretical analysis was used to investigate the topological organization of the structural networks. The global topological properties and nodal efficiency were investigated and compared. Relationship between network metrics and clinical measurements was characterized. STATISTICAL TESTS: Student's t-test, chi-square test, ANOVA, partial correlation analyses, and multiple comparisons correction.
RESULTS: The global topological organization of WM networks was significantly disrupted in T2DM patients with cognitive impairment (reduced global and local efficiency and increased shortest path length) but not in those with normal cognition, compared with controls. The DM-MCI group had significantly decreased network efficiency compared with the DM-NC group. Compared with controls, decreased nodal efficiency was detected in three regions in DM-NC group. More regions with decreased nodal efficiency were found in the DM-MCI group. Altered global network properties and nodal efficiency of some regions were correlated with diabetic duration, HbA1c levels, and cognitive assessment scores. DATA
CONCLUSION: The more disrupted WM connections and weaker organized network are found in DM-MCI patients relative to DM-NC patients and controls. Network analyses provide information for the neuropathology of cognitive decline in T2DM patients. Altered nodal efficiency may act as potential markers for early detection of T2DM-related MCI. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY: Stage 2.
© 2021 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  diffusion tensor tractography; graph theory; mild cognitive impairment; type 2 diabetes mellitus; white matter network

Mesh:

Year:  2021        PMID: 34382716     DOI: 10.1002/jmri.27884

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  4 in total

1.  Disrupted topological organization of functional brain networks is associated with cognitive impairment in hypertension patients: a resting-state fMRI study.

Authors:  Dan Liao; Zhu-Qing Zhang; Zhi-Peng Guo; Li-Rong Tang; Ming-Hao Yang; Rong-Ping Wang; Xin-Feng Liu; Chun-Hong Liu
Journal:  Neuroradiology       Date:  2022-10-11       Impact factor: 2.995

2.  White Matter Characteristics of Damage Along Fiber Tracts in Patients with Type 2 Diabetes Mellitus.

Authors:  Haoming Huang; Xiaomeng Ma; Xiaomei Yue; Shangyu Kang; Yifan Li; Yawen Rao; Yue Feng; Jinjian Wu; Wenjie Long; Yuna Chen; Wenjiao Lyu; Xin Tan; Shijun Qiu
Journal:  Clin Neuroradiol       Date:  2022-09-16       Impact factor: 3.156

3.  Comparative efficacy and safety of traditional Chinese patent medicine for cognitive dysfunction in diabetic cognitive dysfunction: A protocol for systematic review and Bayesian network meta-analysis.

Authors:  Kai Wang; Zhenyuan Jiang; Xiaowen Yu; Yuze Shao; Hailiang Liu; Susu Wu; Linghui Kong; Zhonglin Wang
Journal:  Medicine (Baltimore)       Date:  2022-03-11       Impact factor: 1.817

4.  Association between Changes in White Matter Microstructure and Cognitive Impairment in White Matter Lesions.

Authors:  An-Ming Hu; Yan-Ling Ma; Yue-Xiu Li; Zai-Zhu Han; Nan Yan; Yu-Mei Zhang
Journal:  Brain Sci       Date:  2022-04-07
  4 in total

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