Network efficiency of functional brain connectomes altered in type 2 diabetes patients with and without mild cognitive impairment.

IF 3.4 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Diabetology & Metabolic Syndrome Pub Date : 2024-10-15 DOI:10.1186/s13098-024-01484-9
Juan Li, Qiang Zhang, Juan Wang, Ying Xiong, Wenzhen Zhu
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Abstract

Aim: To explore the topological organization alterations of functional connectomes in type 2 diabetes (T2DM) patients with and without mild cognitive impairment (MCI), and compare these with structural connectomes changes.

Methods: Twenty-six T2DM patients with MCI (DM-MCI), 26 without cognitive impairment (DM-NC), and 28 healthy controls were included. Diffusion tensor imaging (DTI) and resting-state functional MRI images were acquired. Networks were constructed and graph-theory based network measurements were calculated. The global network parameters and nodal efficiencies were compared across the three groups using one-way ANOVA and a false-discovery rate correction was applied for multiple comparisons. Partial correlation analyses were performed to investigate relationships between network parameters, cognitive performance and clinical variables.

Results: In the structural connectome, the DM-MCI group exhibited significantly decreased global efficiency (Eglob) and local efficiency (Eloc) compared to the DM-NC and control groups. In the functional connectome, the DM-MCI group exhibited increased Eloc and clustering coefficient (Cp) compared to the controls. No significant differences were found in Eglob, Eloc, or Cp between the DM-NC and the control group, both in structural and functional connectomes. Nodal efficiencies decreased in some brain regions of structural and functional networks in the DM-MCI and DM-NC groups, but increased in five regions in functional network, some of which were involved in the default-mode network.

Conclusion: Unlike the consistently decreased global properties and nodal efficiencies in the structural connectome of T2DM patients, increases in Eloc, Cp, and nodal efficiencies in the functional connectome may be viewed as a compensatory mechanism due to functional plasticity and reorganization. Altered nodal efficiency can hint at cognitive decrements at an early stage in T2DM patients.

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伴有和不伴有轻度认知障碍的 2 型糖尿病患者大脑功能连接组的网络效率发生了改变。
目的:探讨伴有和不伴有轻度认知障碍(MCI)的2型糖尿病(T2DM)患者功能连接组的拓扑组织变化,并将这些变化与结构连接组的变化进行比较:方法:纳入26名患有轻度认知障碍(MCI)的T2DM患者(DM-MCI)、26名未患有轻度认知障碍(DM-NC)的患者和28名健康对照者。研究人员采集了弥散张量成像(DTI)和静息态功能磁共振成像图像。构建网络并计算基于图论的网络测量值。使用单因素方差分析比较了三组的全局网络参数和节点效率,并对多重比较进行了误发现率校正。对网络参数、认知表现和临床变量之间的关系进行了偏相关分析:在结构连接组中,与DM-NC组和对照组相比,DM-MCI组的全局效率(Eglob)和局部效率(Eloc)明显下降。在功能连接组中,与对照组相比,DM-MCI 组的 Eloc 和聚类系数(Cp)有所增加。DM-NC 组和对照组在 Eglob、Eloc 或 Cp 方面没有发现明显差异,无论是在结构连接组还是在功能连接组。在DM-MCI组和DM-NC组中,结构网络和功能网络的一些脑区的节点效率有所下降,但功能网络的五个区域的节点效率有所上升,其中一些区域涉及默认模式网络:结论:与T2DM患者结构连接组的全局属性和节点效率持续下降不同,功能连接组中Eloc、Cp和节点效率的增加可被视为功能可塑性和重组导致的一种补偿机制。结节效率的改变可在 T2DM 患者的早期阶段暗示其认知能力下降。
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来源期刊
Diabetology & Metabolic Syndrome
Diabetology & Metabolic Syndrome ENDOCRINOLOGY & METABOLISM-
CiteScore
6.20
自引率
0.00%
发文量
170
审稿时长
7.5 months
期刊介绍: Diabetology & Metabolic Syndrome publishes articles on all aspects of the pathophysiology of diabetes and metabolic syndrome. By publishing original material exploring any area of laboratory, animal or clinical research into diabetes and metabolic syndrome, the journal offers a high-visibility forum for new insights and discussions into the issues of importance to the relevant community.
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