Xu Kun, Wang Jun, Liu Guangyao, Yan Jiahao, Chang Miao, Jiang Linzhen, Zhang Jing
Second Clinical School, Lanzhou University, Lanzhou, China.
Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China.
Front Neurol. 2024 Jan 15;14:1324988. doi: 10.3389/fneur.2023.1324988. eCollection 2023.
Altered functional connectivity of resting-state functional magnetic resonance imaging (rs-fMRI) within default mode network (DMN) regions has been verified to be closely associated with cognitive decline in patients with Type 2 diabetes mellitus (T2DM), but most studies neglected the fluctuations of brain activities-the dynamic effective connectivity (DEC) within DMN of T2DM is still unknown.
For the current investigation, 40 healthy controls (HC) and 36 T2DM patients have been recruited as participants. To examine the variation of DEC between T2DM and HC, we utilized the methodologies of independent components analysis (ICA) and multivariate granger causality analysis (mGCA).
We found altered DEC within DMN only show decrease in state 1. In addition, the causal information flow of diabetic patients major affected areas which are closely associated with food craving and metabolic regulation, and T2DM patients stayed longer in low activity level and exhibited decreased transition rate between states. Moreover, these changes related negatively with the MoCA scores and positively with HbA1C level.
Our study may offer a fresh perspective on brain dynamic activities to understand the mechanisms underlying T2DM-related cognitive deficits.
静息态功能磁共振成像（rs-fMRI）在默认模式网络（DMN）区域内的功能连接改变已被证实与2型糖尿病（T2DM）患者的认知衰退密切相关，但大多数研究忽略了大脑活动的波动——T2DM患者DMN内的动态有效连接（DEC）仍然未知。
在当前研究中，招募了40名健康对照者（HC）和36名T2DM患者作为参与者。为了研究T2DM患者与HC之间DEC的差异，我们采用了独立成分分析（ICA）和多元格兰杰因果分析（mGCA）方法。
我们发现DMN内的DEC改变仅在状态1时表现为降低。此外，糖尿病患者主要受影响区域的因果信息流与食物渴望和代谢调节密切相关，且T2DM患者在低活动水平停留的时间更长，状态之间的转换率降低。此外，这些变化与蒙特利尔认知评估量表（MoCA）评分呈负相关，与糖化血红蛋白（HbA1C）水平呈正相关。
我们的研究可能为理解T2DM相关认知缺陷的潜在机制提供关于大脑动态活动的新视角。
