Affiliation:
1. Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School Nanjing University Nanjing China
2. Medical Imaging Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School Nanjing University Nanjing China
3. Institute of Medical Imaging and Artificial Intelligence Nanjing University Nanjing China
4. Department of Endocrinology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School Nanjing University Nanjing China
5. Institute of Brain Science Nanjing University Nanjing China
Abstract
AbstractAimsTo 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.MethodsFifty‐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.ResultsOur 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.ConclusionThis 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.
Subject
Endocrinology,Endocrinology, Diabetes and Metabolism,Internal Medicine