Altered dynamic effective connectivity of the default mode network in type 2 diabetes
IntroductionAltered 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 fl...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-01-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2023.1324988/full |
| _version_ | 1797355274441326592 |
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| author | Kun Xu Kun Xu Jun Wang Jun Wang Guangyao Liu Guangyao Liu Jiahao Yan Jiahao Yan Miao Chang Miao Chang Linzhen Jiang Linzhen Jiang Jing Zhang Jing Zhang |
| author_facet | Kun Xu Kun Xu Jun Wang Jun Wang Guangyao Liu Guangyao Liu Jiahao Yan Jiahao Yan Miao Chang Miao Chang Linzhen Jiang Linzhen Jiang Jing Zhang Jing Zhang |
| author_sort | Kun Xu |
| collection | DOAJ |
| description | IntroductionAltered 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.MethodsFor 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).ResultsWe 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.ConclusionOur study may offer a fresh perspective on brain dynamic activities to understand the mechanisms underlying T2DM-related cognitive deficits. |
| first_indexed | 2024-03-08T14:08:48Z |
| format | Article |
| id | doaj.art-384bd9a6461e4ca28b2944291f7a67d4 |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-03-08T14:08:48Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-384bd9a6461e4ca28b2944291f7a67d42024-01-15T04:13:10ZengFrontiers Media S.A.Frontiers in Neurology1664-22952024-01-011410.3389/fneur.2023.13249881324988Altered dynamic effective connectivity of the default mode network in type 2 diabetesKun Xu0Kun Xu1Jun Wang2Jun Wang3Guangyao Liu4Guangyao Liu5Jiahao Yan6Jiahao Yan7Miao Chang8Miao Chang9Linzhen Jiang10Linzhen Jiang11Jing Zhang12Jing Zhang13Second Clinical School, Lanzhou University, Lanzhou, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, ChinaSecond Clinical School, Lanzhou University, Lanzhou, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, ChinaGansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou University Second Hospital, Lanzhou, ChinaSecond Clinical School, Lanzhou University, Lanzhou, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, ChinaSecond Clinical School, Lanzhou University, Lanzhou, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, ChinaSecond Clinical School, Lanzhou University, Lanzhou, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, ChinaGansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou University Second Hospital, Lanzhou, ChinaIntroductionAltered 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.MethodsFor 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).ResultsWe 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.ConclusionOur study may offer a fresh perspective on brain dynamic activities to understand the mechanisms underlying T2DM-related cognitive deficits.https://www.frontiersin.org/articles/10.3389/fneur.2023.1324988/fulltype 2 diabetes mellitusdynamic effective connectivitydefault mode networkindependent components analysismultivariate granger causality analysis |
| spellingShingle | Kun Xu Kun Xu Jun Wang Jun Wang Guangyao Liu Guangyao Liu Jiahao Yan Jiahao Yan Miao Chang Miao Chang Linzhen Jiang Linzhen Jiang Jing Zhang Jing Zhang Altered dynamic effective connectivity of the default mode network in type 2 diabetes Frontiers in Neurology type 2 diabetes mellitus dynamic effective connectivity default mode network independent components analysis multivariate granger causality analysis |
| title | Altered dynamic effective connectivity of the default mode network in type 2 diabetes |
| title_full | Altered dynamic effective connectivity of the default mode network in type 2 diabetes |
| title_fullStr | Altered dynamic effective connectivity of the default mode network in type 2 diabetes |
| title_full_unstemmed | Altered dynamic effective connectivity of the default mode network in type 2 diabetes |
| title_short | Altered dynamic effective connectivity of the default mode network in type 2 diabetes |
| title_sort | altered dynamic effective connectivity of the default mode network in type 2 diabetes |
| topic | type 2 diabetes mellitus dynamic effective connectivity default mode network independent components analysis multivariate granger causality analysis |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2023.1324988/full |
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