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Aberrant functional connectivity of default-mode network in type 2 diabetes patients
OBJECTIVES: Type 2 diabetes mellitus is associated with increased risk for dementia. Patients with impaired cognition often show default-mode network disruption. We aimed to investigate the integrity of a default-mode network in diabetic patients by using independent component analysis, and to explo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4595523/ https://www.ncbi.nlm.nih.gov/pubmed/25903712 http://dx.doi.org/10.1007/s00330-015-3746-8 |
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author | Cui, Ying Jiao, Yun Chen, Hua-Jun Ding, Jie Luo, Bing Peng, Cheng-Yu Ju, Sheng-Hong Teng, Gao-Jun |
author_facet | Cui, Ying Jiao, Yun Chen, Hua-Jun Ding, Jie Luo, Bing Peng, Cheng-Yu Ju, Sheng-Hong Teng, Gao-Jun |
author_sort | Cui, Ying |
collection | PubMed |
description | OBJECTIVES: Type 2 diabetes mellitus is associated with increased risk for dementia. Patients with impaired cognition often show default-mode network disruption. We aimed to investigate the integrity of a default-mode network in diabetic patients by using independent component analysis, and to explore the relationship between network abnormalities, neurocognitive performance and diabetic variables. METHODS: Forty-two patients with type 2 diabetes and 42 well-matched healthy controls were included and underwent resting-state functional MRI in a 3 Tesla unit. Independent component analysis was adopted to extract the default-mode network, including its anterior and posterior components. Z-maps of both sub-networks were compared between the two groups and correlated with each clinical variable. RESULTS: Patients showed increased connectivity around the medial prefrontal cortex in the anterior sub-network, but decreased connectivity around the posterior cingulate cortex in the posterior sub-network. The decreased connectivity in the posterior part was significantly correlated with the score on Complex Figure Test-delay recall test (r = 0.359, p = 0.020), the time spent on Trail-Making Test-part B (r = -0.346, p = 0.025) and the insulin resistance level (r = −0.404, p = 0.024). CONCLUSION: Dissociation pattern in the default-mode network was found in diabetic patients, which might provide powerful new insights into the neural mechanisms that underlie the diabetes-related cognitive decline. KEY POINTS: • Type 2 diabetes mellitus is associated with impaired cognition • Default- mode network plays a central role in maintaining normal cognition • Network connectivity within the default mode was disrupted in type 2 diabetes patients • Decreased network connectivity was correlated with cognitive performance and insulin resistance level • Disrupted default-mode network might explain the impaired cognition in diabetic population ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00330-015-3746-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4595523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-45955232015-10-09 Aberrant functional connectivity of default-mode network in type 2 diabetes patients Cui, Ying Jiao, Yun Chen, Hua-Jun Ding, Jie Luo, Bing Peng, Cheng-Yu Ju, Sheng-Hong Teng, Gao-Jun Eur Radiol Neuro OBJECTIVES: Type 2 diabetes mellitus is associated with increased risk for dementia. Patients with impaired cognition often show default-mode network disruption. We aimed to investigate the integrity of a default-mode network in diabetic patients by using independent component analysis, and to explore the relationship between network abnormalities, neurocognitive performance and diabetic variables. METHODS: Forty-two patients with type 2 diabetes and 42 well-matched healthy controls were included and underwent resting-state functional MRI in a 3 Tesla unit. Independent component analysis was adopted to extract the default-mode network, including its anterior and posterior components. Z-maps of both sub-networks were compared between the two groups and correlated with each clinical variable. RESULTS: Patients showed increased connectivity around the medial prefrontal cortex in the anterior sub-network, but decreased connectivity around the posterior cingulate cortex in the posterior sub-network. The decreased connectivity in the posterior part was significantly correlated with the score on Complex Figure Test-delay recall test (r = 0.359, p = 0.020), the time spent on Trail-Making Test-part B (r = -0.346, p = 0.025) and the insulin resistance level (r = −0.404, p = 0.024). CONCLUSION: Dissociation pattern in the default-mode network was found in diabetic patients, which might provide powerful new insights into the neural mechanisms that underlie the diabetes-related cognitive decline. KEY POINTS: • Type 2 diabetes mellitus is associated with impaired cognition • Default- mode network plays a central role in maintaining normal cognition • Network connectivity within the default mode was disrupted in type 2 diabetes patients • Decreased network connectivity was correlated with cognitive performance and insulin resistance level • Disrupted default-mode network might explain the impaired cognition in diabetic population ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00330-015-3746-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2015-04-23 2015 /pmc/articles/PMC4595523/ /pubmed/25903712 http://dx.doi.org/10.1007/s00330-015-3746-8 Text en © The Author(s) 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Neuro Cui, Ying Jiao, Yun Chen, Hua-Jun Ding, Jie Luo, Bing Peng, Cheng-Yu Ju, Sheng-Hong Teng, Gao-Jun Aberrant functional connectivity of default-mode network in type 2 diabetes patients |
title | Aberrant functional connectivity of default-mode network in type 2 diabetes patients |
title_full | Aberrant functional connectivity of default-mode network in type 2 diabetes patients |
title_fullStr | Aberrant functional connectivity of default-mode network in type 2 diabetes patients |
title_full_unstemmed | Aberrant functional connectivity of default-mode network in type 2 diabetes patients |
title_short | Aberrant functional connectivity of default-mode network in type 2 diabetes patients |
title_sort | aberrant functional connectivity of default-mode network in type 2 diabetes patients |
topic | Neuro |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4595523/ https://www.ncbi.nlm.nih.gov/pubmed/25903712 http://dx.doi.org/10.1007/s00330-015-3746-8 |
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