Dysregulated brain dynamics in the visualmotor network in type 2 diabetes patients and their relationship with cognitive impairment

IF 3.5 3区医学 Q2 NEUROSCIENCES

Brain Research Bulletin Pub Date : 2025-03-18 DOI:10.1016/j.brainresbull.2025.111313

Ying Yu , Bo Hu , Xin-Wen Yu , Yan-Yan Cui , Xin-Yu Cao , Min-Hua Ni , Si-Ning Li , Pan Dai , Qian Sun , Xiao-Yan Bai , Yao Tong , Xiao-Rui Jing , Ai-Li Yang , Sheng-Ru Liang , Li-Juan Du , Shuo Guo , Lin-Feng Yan , Bin Gao , Guang-Bin Cui , Alzheimer’s Disease Neuroimaging Initiative

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引用次数: 0

Abstract

Objective

Type 2 diabetes mellitus (T2DM) is a significant risk factor for mild cognitive impairment (MCI). Here, we identified a T2DM-specific effective connectivity (EC) network, the dynamic features of which could be used to distinguish T2DM patients with MCI from healthy controls (HC) and correlation with cognitive performance.

Methods

Local and multicentered T2DM patients and matched HC who underwent functional magnetic resonance imaging were recruited. Their static and dynamic effective connectivity were compared. The relationships between connectome characteristics and cognitive performance were also evaluated.

Results

The nodes of the T2DM-related static causality network included the anterior central gyrus, tail of the parahippocampal gyrus, posterior superior temporal sulcus, posterior central parietal lobe, posterior central gyrus and V5 region of the occipital lobe. The V5 region of the visual cortex was the core node. In the multicentered dataset, compared with the HC group, the T2DM with MCI group had significantly greater fractional window and mean dwell time. Fractional windows of the state, which was dominated by the interaction of the nodes from SomMot_Network, Limbic_Network, Default_Network, in the T2DM-specific network increased with poorer cognitive performance in T2DM with MCI patients.

Conclusion

Our findings provide insights into the neurobiological mechanisms of the cognitive impairment of T2DM patients from a dynamic network perspective, which may ultimately inform more targeted and effective strategies to prevent MCI.

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2 型糖尿病患者视觉运动网络的大脑动态失调及其与认知障碍的关系。

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来源期刊

Brain Research Bulletin 医学-神经科学

CiteScore

6.90

自引率

2.60%

发文量

253

审稿时长

67 days

期刊介绍： The Brain Research Bulletin (BRB) aims to publish novel work that advances our knowledge of molecular and cellular mechanisms that underlie neural network properties associated with behavior, cognition and other brain functions during neurodevelopment and in the adult. Although clinical research is out of the Journal''s scope, the BRB also aims to publish translation research that provides insight into biological mechanisms and processes associated with neurodegeneration mechanisms, neurological diseases and neuropsychiatric disorders. The Journal is especially interested in research using novel methodologies, such as optogenetics, multielectrode array recordings and life imaging in wild-type and genetically-modified animal models, with the goal to advance our understanding of how neurons, glia and networks function in vivo.