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Aberrant intra- and inter-network connectivity architectures in Alzheimer’s disease and mild cognitive impairment

Alzheimer’s disease (AD) patients and those with high-risk mild cognitive impairment are increasingly considered to have dysfunction syndromes. Large-scale network studies based on neuroimaging techniques may provide additional insight into AD pathophysiology. The aim of the present study is to eval...

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Autores principales: Wang, Pan, Zhou, Bo, Yao, Hongxiang, Zhan, Yafeng, Zhang, Zengqiang, Cui, Yue, Xu, Kaibin, Ma, Jianhua, Wang, Luning, An, Ningyu, Zhang, Xi, Liu, Yong, Jiang, Tianzi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4594099/
https://www.ncbi.nlm.nih.gov/pubmed/26439278
http://dx.doi.org/10.1038/srep14824
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author Wang, Pan
Zhou, Bo
Yao, Hongxiang
Zhan, Yafeng
Zhang, Zengqiang
Cui, Yue
Xu, Kaibin
Ma, Jianhua
Wang, Luning
An, Ningyu
Zhang, Xi
Liu, Yong
Jiang, Tianzi
author_facet Wang, Pan
Zhou, Bo
Yao, Hongxiang
Zhan, Yafeng
Zhang, Zengqiang
Cui, Yue
Xu, Kaibin
Ma, Jianhua
Wang, Luning
An, Ningyu
Zhang, Xi
Liu, Yong
Jiang, Tianzi
author_sort Wang, Pan
collection PubMed
description Alzheimer’s disease (AD) patients and those with high-risk mild cognitive impairment are increasingly considered to have dysfunction syndromes. Large-scale network studies based on neuroimaging techniques may provide additional insight into AD pathophysiology. The aim of the present study is to evaluate the impaired network functional connectivity with the disease progression. For this purpose, we explored altered functional connectivities based on previously well-defined brain areas that comprise the five key functional systems [the default mode network (DMN), dorsal attention network (DAN), control network (CON), salience network (SAL), sensorimotor network (SMN)] in 35 with AD and 27 with mild cognitive impairment (MCI) subjects, compared with 27 normal cognitive subjects. Based on three levels of analysis, we found that intra- and inter-network connectivity were impaired in AD. Importantly, the interaction between the sensorimotor and attention functions was first attacked at the MCI stage and then extended to the key functional systems in the AD individuals. Lower cognitive ability (lower MMSE scores) was significantly associated with greater reductions in intra- and inter-network connectivity across all patient groups. These profiles indicate that aberrant intra- and inter-network dysfunctions might be potential biomarkers or predictors of AD progression and provide new insight into AD pathophysiology.
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spelling pubmed-45940992015-10-13 Aberrant intra- and inter-network connectivity architectures in Alzheimer’s disease and mild cognitive impairment Wang, Pan Zhou, Bo Yao, Hongxiang Zhan, Yafeng Zhang, Zengqiang Cui, Yue Xu, Kaibin Ma, Jianhua Wang, Luning An, Ningyu Zhang, Xi Liu, Yong Jiang, Tianzi Sci Rep Article Alzheimer’s disease (AD) patients and those with high-risk mild cognitive impairment are increasingly considered to have dysfunction syndromes. Large-scale network studies based on neuroimaging techniques may provide additional insight into AD pathophysiology. The aim of the present study is to evaluate the impaired network functional connectivity with the disease progression. For this purpose, we explored altered functional connectivities based on previously well-defined brain areas that comprise the five key functional systems [the default mode network (DMN), dorsal attention network (DAN), control network (CON), salience network (SAL), sensorimotor network (SMN)] in 35 with AD and 27 with mild cognitive impairment (MCI) subjects, compared with 27 normal cognitive subjects. Based on three levels of analysis, we found that intra- and inter-network connectivity were impaired in AD. Importantly, the interaction between the sensorimotor and attention functions was first attacked at the MCI stage and then extended to the key functional systems in the AD individuals. Lower cognitive ability (lower MMSE scores) was significantly associated with greater reductions in intra- and inter-network connectivity across all patient groups. These profiles indicate that aberrant intra- and inter-network dysfunctions might be potential biomarkers or predictors of AD progression and provide new insight into AD pathophysiology. Nature Publishing Group 2015-10-06 /pmc/articles/PMC4594099/ /pubmed/26439278 http://dx.doi.org/10.1038/srep14824 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
Wang, Pan
Zhou, Bo
Yao, Hongxiang
Zhan, Yafeng
Zhang, Zengqiang
Cui, Yue
Xu, Kaibin
Ma, Jianhua
Wang, Luning
An, Ningyu
Zhang, Xi
Liu, Yong
Jiang, Tianzi
Aberrant intra- and inter-network connectivity architectures in Alzheimer’s disease and mild cognitive impairment
title Aberrant intra- and inter-network connectivity architectures in Alzheimer’s disease and mild cognitive impairment
title_full Aberrant intra- and inter-network connectivity architectures in Alzheimer’s disease and mild cognitive impairment
title_fullStr Aberrant intra- and inter-network connectivity architectures in Alzheimer’s disease and mild cognitive impairment
title_full_unstemmed Aberrant intra- and inter-network connectivity architectures in Alzheimer’s disease and mild cognitive impairment
title_short Aberrant intra- and inter-network connectivity architectures in Alzheimer’s disease and mild cognitive impairment
title_sort aberrant intra- and inter-network connectivity architectures in alzheimer’s disease and mild cognitive impairment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4594099/
https://www.ncbi.nlm.nih.gov/pubmed/26439278
http://dx.doi.org/10.1038/srep14824
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