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Disrupted resting-state attentional networks in T2DM patients
Although Type 2 diabetes mellitus (T2DM) is a well-recognized risk factor for dementia, the neural mechanisms that underlie cognitive impairment in T2DM remain unclear. This study uses resting-state functional magnetic resonance imaging (fMRI) to examine attention network alterations in T2DM and the...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4459168/ https://www.ncbi.nlm.nih.gov/pubmed/26053355 http://dx.doi.org/10.1038/srep11148 |
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author | Xia, Wenqing Wang, Shaohua Rao, Hengyi Spaeth, Andrea M Wang, Pin Yang, Yue Huang, Rong Cai, Rongrong Sun, Haixia |
author_facet | Xia, Wenqing Wang, Shaohua Rao, Hengyi Spaeth, Andrea M Wang, Pin Yang, Yue Huang, Rong Cai, Rongrong Sun, Haixia |
author_sort | Xia, Wenqing |
collection | PubMed |
description | Although Type 2 diabetes mellitus (T2DM) is a well-recognized risk factor for dementia, the neural mechanisms that underlie cognitive impairment in T2DM remain unclear. This study uses resting-state functional magnetic resonance imaging (fMRI) to examine attention network alterations in T2DM and their relationships to impaired cognitive performance. Data-driven independent component analysis was applied to resting-state fMRI data from 38 T2DM patients and 32 healthy controls to identify the dorsal attention network (DAN) and ventral attention network (VAN). Correlations were then determined among the resting-state functional connectivity (rsFC), clinical data, and neuropsychological scores. The T2DM patients exhibited decreased rsFC in the left middle frontal gyrus (MFG) and bilateral inferior parietal lobe (IPL) of the DAN, as well as the left IPL and right MFG/IFG of the VAN. In addition, the rsFC of the left MFG was inversely correlated with the Trail Making Test-B scores; the rsFC of the left IPL was positively correlated with the Digit Span Test scores but negatively correlated with HbA1c; and the rsFC in the right precuneus was positively associated with cognitive performance (without Bonferroni correction). In conclusion, T2DM affects resting-state attentional networks, which may be related to reduced attention and a hyperglycemic state. |
format | Online Article Text |
id | pubmed-4459168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44591682015-06-17 Disrupted resting-state attentional networks in T2DM patients Xia, Wenqing Wang, Shaohua Rao, Hengyi Spaeth, Andrea M Wang, Pin Yang, Yue Huang, Rong Cai, Rongrong Sun, Haixia Sci Rep Article Although Type 2 diabetes mellitus (T2DM) is a well-recognized risk factor for dementia, the neural mechanisms that underlie cognitive impairment in T2DM remain unclear. This study uses resting-state functional magnetic resonance imaging (fMRI) to examine attention network alterations in T2DM and their relationships to impaired cognitive performance. Data-driven independent component analysis was applied to resting-state fMRI data from 38 T2DM patients and 32 healthy controls to identify the dorsal attention network (DAN) and ventral attention network (VAN). Correlations were then determined among the resting-state functional connectivity (rsFC), clinical data, and neuropsychological scores. The T2DM patients exhibited decreased rsFC in the left middle frontal gyrus (MFG) and bilateral inferior parietal lobe (IPL) of the DAN, as well as the left IPL and right MFG/IFG of the VAN. In addition, the rsFC of the left MFG was inversely correlated with the Trail Making Test-B scores; the rsFC of the left IPL was positively correlated with the Digit Span Test scores but negatively correlated with HbA1c; and the rsFC in the right precuneus was positively associated with cognitive performance (without Bonferroni correction). In conclusion, T2DM affects resting-state attentional networks, which may be related to reduced attention and a hyperglycemic state. Nature Publishing Group 2015-06-08 /pmc/articles/PMC4459168/ /pubmed/26053355 http://dx.doi.org/10.1038/srep11148 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Xia, Wenqing Wang, Shaohua Rao, Hengyi Spaeth, Andrea M Wang, Pin Yang, Yue Huang, Rong Cai, Rongrong Sun, Haixia Disrupted resting-state attentional networks in T2DM patients |
title | Disrupted resting-state attentional networks in T2DM patients |
title_full | Disrupted resting-state attentional networks in T2DM patients |
title_fullStr | Disrupted resting-state attentional networks in T2DM patients |
title_full_unstemmed | Disrupted resting-state attentional networks in T2DM patients |
title_short | Disrupted resting-state attentional networks in T2DM patients |
title_sort | disrupted resting-state attentional networks in t2dm patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4459168/ https://www.ncbi.nlm.nih.gov/pubmed/26053355 http://dx.doi.org/10.1038/srep11148 |
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