Aberrant Functional Connectivity Architecture in Alzheimer’s Disease and Mild Cognitive Impairment: A Whole-Brain, Data-Driven Analysis

The purpose of our study was to investigate whether the whole-brain functional connectivity pattern exhibits disease severity-related alterations in patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI). Resting-state functional magnetic resonance imaging data were acquired in 2...

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Published inBioMed research international Vol. 2015; no. 2015; pp. 1 - 9
Main Authors Liu, Yong, Zhang, Xi, An, Ningyu, Xu, Kaibin, Ma, Jianhua, Zhan, Yafeng, Zhang, Zengqiang, Wang, Pan, Yao, Hongxiang, Zhou, Bo, Wang, Luning
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2015
John Wiley & Sons, Inc
Subjects
Activities of daily living
Aged
Aged, 80 and over
Alzheimer Disease - epidemiology
Alzheimer Disease - pathology
Alzheimer Disease - physiopathology
Alzheimer's disease
Automation
Brain
Brain Mapping
Case-Control Studies
Cognition & reasoning
Cognition disorders
Cognitive ability
Cognitive Dysfunction - epidemiology
Cognitive Dysfunction - pathology
Cognitive Dysfunction - physiopathology
Dementia
Female
Hospitals
Humans
Magnetic Resonance Imaging - methods
Male
Nerve Net - pathology
Nerve Net - physiopathology
Neuropsychology
Physiological aspects
Time series
Beijing China
China
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Abstract The purpose of our study was to investigate whether the whole-brain functional connectivity pattern exhibits disease severity-related alterations in patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI). Resting-state functional magnetic resonance imaging data were acquired in 27 MCI subjects, 35 AD patients, and 27 age- and gender-matched subjects with normal cognition (NC). Interregional functional connectivity was assessed based on a predefined template which parcellated the brain into 90 regions. Altered whole-brain functional connectivity patterns were identified via connectivity comparisons between the AD and NC subjects. Finally, the relationship between functional connectivity strength and cognitive ability according to the mini-mental state examination (MMSE) was evaluated in the MCI and AD groups. Compared with the NC group, the AD group exhibited decreased functional connectivities throughout the brain. The most significantly affected regions included several important nodes of the default mode network and the temporal lobe. Moreover, changes in functional connectivity strength exhibited significant associations with disease severity-related alterations in the AD and MCI groups. The present study provides novel evidence and will facilitate meta-analysis of whole-brain analyses in AD and MCI, which will be critical to better understand the neural basis of AD.
AbstractList The purpose of our study was to investigate whether the whole-brain functional connectivity pattern exhibits disease severity-related alterations in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI). Resting-state functional magnetic resonance imaging data were acquired in 27 MCI subjects, 35 AD patients, and 27 age- and gender-matched subjects with normal cognition (NC). Interregional functional connectivity was assessed based on a predefined template which parcellated the brain into 90 regions. Altered whole-brain functional connectivity patterns were identified via connectivity comparisons between the AD and NC subjects. Finally, the relationship between functional connectivity strength and cognitive ability according to the mini-mental state examination (MMSE) was evaluated in the MCI and AD groups. Compared with the NC group, the AD group exhibited decreased functional connectivities throughout the brain. The most significantly affected regions included several important nodes of the default mode network and the temporal lobe. Moreover, changes in functional connectivity strength exhibited significant associations with disease severity-related alterations in the AD and MCI groups. The present study provides novel evidence and will facilitate meta-analysis of whole-brain analyses in AD and MCI, which will be critical to better understand the neural basis of AD.
Audience Academic
Author Xu, Kaibin
Zhou, Bo
Zhan, Yafeng
Wang, Pan
Zhang, Zengqiang
Wang, Luning
Ma, Jianhua
Zhang, Xi
Liu, Yong
An, Ningyu
Yao, Hongxiang
AuthorAffiliation 5 School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
2 Department of Radiology, Chinese PLA General Hospital, Beijing 100853, China
6 National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
3 Hainan Branch of Chinese PLA General Hospital, Sanya 572014, China
1 Department of Neurology, Institute of Geriatrics and Gerontology, Chinese PLA General Hospital, Beijing 100853, China
4 Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
AuthorAffiliation_xml – name: 6 National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
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– name: 1 Department of Neurology, Institute of Geriatrics and Gerontology, Chinese PLA General Hospital, Beijing 100853, China
– name: 2 Department of Radiology, Chinese PLA General Hospital, Beijing 100853, China
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ContentType Journal Article
Copyright Copyright © 2015 Bo Zhou et al.
COPYRIGHT 2015 John Wiley & Sons, Inc.
Copyright © 2015 Bo Zhou et al. Bo Zhou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright © 2015 Bo Zhou et al. 2015
Copyright_xml – notice: Copyright © 2015 Bo Zhou et al.
– notice: COPYRIGHT 2015 John Wiley & Sons, Inc.
– notice: Copyright © 2015 Bo Zhou et al. Bo Zhou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
– notice: Copyright © 2015 Bo Zhou et al. 2015
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Snippet The purpose of our study was to investigate whether the whole-brain functional connectivity pattern exhibits disease severity-related alterations in patients...
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SubjectTerms Activities of daily living
Aged
Aged, 80 and over
Alzheimer Disease - epidemiology
Alzheimer Disease - pathology
Alzheimer Disease - physiopathology
Alzheimer's disease
Automation
Brain
Brain Mapping
Case-Control Studies
Cognition & reasoning
Cognition disorders
Cognitive ability
Cognitive Dysfunction - epidemiology
Cognitive Dysfunction - pathology
Cognitive Dysfunction - physiopathology
Dementia
Female
Hospitals
Humans
Magnetic Resonance Imaging - methods
Male
Nerve Net - pathology
Nerve Net - physiopathology
Neuropsychology
Physiological aspects
Time series
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Title Aberrant Functional Connectivity Architecture in Alzheimer’s Disease and Mild Cognitive Impairment: A Whole-Brain, Data-Driven Analysis
URI https://search.emarefa.net/detail/BIM-1055696
https://dx.doi.org/10.1155/2015/495375
https://www.ncbi.nlm.nih.gov/pubmed/26167487
https://www.proquest.com/docview/1690180676
https://www.proquest.com/docview/1696197086
https://www.proquest.com/docview/1701501287
https://pubmed.ncbi.nlm.nih.gov/PMC4475740
Volume 2015
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