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Altered dynamic functional architecture in type 2 diabetes mellitus

INTRODUCTION: Type 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 connectiv...

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Autores principales: Li, Yifan, Li, Mingrui, Zhao, Kui, Wang, Yan, Tan, Xin, Qin, Chunhong, Rao, Yawen, Sun, Zhizhong, Ge, Limin, Cao, Zidong, Liang, Yi, Qiu, Shijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903314/
https://www.ncbi.nlm.nih.gov/pubmed/36760808
http://dx.doi.org/10.3389/fendo.2022.1117735
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author Li, Yifan
Li, Mingrui
Zhao, Kui
Wang, Yan
Tan, Xin
Qin, Chunhong
Rao, Yawen
Sun, Zhizhong
Ge, Limin
Cao, Zidong
Liang, Yi
Qiu, Shijun
author_facet Li, Yifan
Li, Mingrui
Zhao, Kui
Wang, Yan
Tan, Xin
Qin, Chunhong
Rao, Yawen
Sun, Zhizhong
Ge, Limin
Cao, Zidong
Liang, Yi
Qiu, Shijun
author_sort Li, Yifan
collection PubMed
description INTRODUCTION: Type 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. METHODS: In 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. RESULT: Two 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. CONCLUSION: The 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.
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spelling pubmed-99033142023-02-08 Altered dynamic functional architecture in type 2 diabetes mellitus Li, Yifan Li, Mingrui Zhao, Kui Wang, Yan Tan, Xin Qin, Chunhong Rao, Yawen Sun, Zhizhong Ge, Limin Cao, Zidong Liang, Yi Qiu, Shijun Front Endocrinol (Lausanne) Endocrinology INTRODUCTION: Type 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. METHODS: In 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. RESULT: Two 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. CONCLUSION: The 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. Frontiers Media S.A. 2023-01-24 /pmc/articles/PMC9903314/ /pubmed/36760808 http://dx.doi.org/10.3389/fendo.2022.1117735 Text en Copyright © 2023 Li, Li, Zhao, Wang, Tan, Qin, Rao, Sun, Ge, Cao, Liang and Qiu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Li, Yifan
Li, Mingrui
Zhao, Kui
Wang, Yan
Tan, Xin
Qin, Chunhong
Rao, Yawen
Sun, Zhizhong
Ge, Limin
Cao, Zidong
Liang, Yi
Qiu, Shijun
Altered dynamic functional architecture in type 2 diabetes mellitus
title Altered dynamic functional architecture in type 2 diabetes mellitus
title_full Altered dynamic functional architecture in type 2 diabetes mellitus
title_fullStr Altered dynamic functional architecture in type 2 diabetes mellitus
title_full_unstemmed Altered dynamic functional architecture in type 2 diabetes mellitus
title_short Altered dynamic functional architecture in type 2 diabetes mellitus
title_sort altered dynamic functional architecture in type 2 diabetes mellitus
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903314/
https://www.ncbi.nlm.nih.gov/pubmed/36760808
http://dx.doi.org/10.3389/fendo.2022.1117735
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