餐后
2型糖尿病
脂肪肝
内科学
神经影像学
医学
认知
功能磁共振成像
胰岛素抵抗
糖尿病
默认模式网络
痴呆
内分泌学
疾病
精神科
放射科
作者
Xin Li,Wen Zhang,Yan Bi,Jiu Chen,Linqing Fu,Zhou Zhang,Qian Chen,Bing Zhang,Zhengyang Zhu,Bing Zhang
摘要
Abstract Aims To investigate the neural static and dynamic intrinsic activity of intra‐/inter‐network topology among patients with type 2 diabetes (T2D) with non‐alcoholic fatty liver disease (NAFLD) and those without NAFLD (T2NAFLD group and T2noNAFLD group, respectively) and to assess the relationship with metabolism. Methods Fifty‐six patients with T2NAFLD, 78 with T2noNAFLD, and 55 healthy controls (HCs) were recruited to the study. Participants had normal cognition and underwent functional magnetic resonance imaging scans, clinical measurements, and global cognition evaluation. Independent component analysis was used to identify frequency spectrum parameters, static functional network connectivity, and temporal properties of dynamic functional network connectivity ( P < 0.05, false discovery rate‐corrected). Statistical analysis involved one‐way analysis of covariance with post hoc, partial correlation and canonical correlation analyses. Results Our findings showed that: (i) T2NAFLD patients had more disordered glucose and lipid metabolism, had more severe insulin resistance, and were more obese than T2noNAFLD patients; (ii) T2D patients exhibited disrupted brain function, as evidenced by alterations in intra‐/inter‐network topology, even without clinically measurable cognitive impairment; (iii) T2NAFLD patients had more significant reductions in the frequency spectrum parameters of cognitive executive and visual networks than those with T2noNAFLD; and (iv) altered brain function in T2D patients was correlated with postprandial glucose, high‐density lipoprotein cholesterol, and waist‐hip ratio. Conclusion This study may provide novel insights into neuroimaging correlates for underlying pathophysiological processes inducing brain damage in T2NAFLD. Thus, controlling blood glucose levels, lipid levels and abdominal obesity may reduce brain damage risk in such patients.
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