Frontiers in Endocrinology (Jan 2023)

Altered dynamic functional architecture in type 2 diabetes mellitus

  • Yifan Li,
  • Yifan Li,
  • Mingrui Li,
  • Mingrui Li,
  • Mingrui Li,
  • Kui Zhao,
  • Kui Zhao,
  • Yan Wang,
  • Yan Wang,
  • Xin Tan,
  • Chunhong Qin,
  • Yawen Rao,
  • Yawen Rao,
  • Zhizhong Sun,
  • Zhizhong Sun,
  • Limin Ge,
  • Limin Ge,
  • Zidong Cao,
  • Zidong Cao,
  • Yi Liang,
  • Yi Liang,
  • Shijun Qiu,
  • Shijun Qiu

DOI
https://doi.org/10.3389/fendo.2022.1117735
Journal volume & issue
Vol. 13

Abstract

Read online

IntroductionType 2 diabetes mellitus (T2DM) can accelerate cognitive decline and even dementia so that the underlying mechanism deserves further exploration. In the resting state, brain function is still changing dynamically. At present, it is still unknown whether the dynamic functional connectivity (dFC) between various brain regions is in a stable state. It is necessary to interpret brain changes from a new perspective, that is, the stability of brain architecture.MethodsIn this study, we used a fixed dynamic time scale to explore the stability of dynamic functional architecture in T2DM, then the dynamic effective connectivity (dEC) was used to further explain how information flows through dynamically fluctuating brain architecture in T2DM.ResultTwo brain regions with decreased stability were found including the right supra-marginal gyrus (SMG) and the right median cingulate gyrus (MCG) in T2DM subjects. The dEC variation has increased between the left inferior frontal gyrus (IFG) and the right MCG. The direction of causal flow is from the right MCG to the left IFG.ConclusionThe combination of stability and dEC can not only show the stability of dynamic functional architecture in brain but also reflect the fluidity of brain information, which is an innovative and interesting attempt in the field of neuroimaging. The changes of dynamic architecture in T2DM patients may present an innovative perspective and explanation for their cognitive decline.

Keywords