Alterations of Brain Networks in Alzheimer’s Disease and Mild Cognitive Impairment: A Resting State fMRI Study Based on a Population-specific Brain Template

•This is the first functional brain network graph analysis on AD and MCI based on a population-specific Chinese brain atlas.•Assortativity, degree centrality, clustering, nodal and local efficiency of frontal gyrus, cerebellum altered in AD, MCI.•The altered graph metrics of the frontal gyrus may re...

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Published inNeuroscience Vol. 452; pp. 192 - 207
Main Authors Luo, Yuan, Sun, Tongtong, Ma, Chunchao, Zhang, Xianchang, Ji, Yong, Fu, Xiuwei, Ni, Hongyan
Format Journal Article
LanguageEnglish
Published United States Elsevier Ltd 01.01.2021
Subjects
Activities of Daily Living
Alzheimer Disease - diagnostic imaging
Brain - diagnostic imaging
brain plasticity
cerebellum
Cognitive Dysfunction - diagnostic imaging
functional brain network
graph analysis
Humans
Magnetic Resonance Imaging
GRAPPA
GRETNA
MPRAGE
functional brain network
MoCA
ADAS-Cog
NPI
rs-fMRI
Frontal_Sup_Medial_L
ADL
LTP
T1WI
Frontal_Mid_L
cerebellum
CDR
SPM
MNI152
ANOVA
FDR
MMSE
T2WI
DWI
FLAIR
Cerebelum_Crus1_L
NIA-AA
DICOM
Vermis_3
brain plasticity
DPARSF
Cerebelum_Crus1_R
AD
GCA
SWI
graph analysis
AAL
NIfTI
HAMD
MCI
HIS
SMS
SUVR
HC
MTA
LTD
EPI
Online AccessGet full text
ISSN0306-4522
1873-7544
1873-7544
DOI10.1016/j.neuroscience.2020.10.023

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Abstract •This is the first functional brain network graph analysis on AD and MCI based on a population-specific Chinese brain atlas.•Assortativity, degree centrality, clustering, nodal and local efficiency of frontal gyrus, cerebellum altered in AD, MCI.•The altered graph metrics of the frontal gyrus may reflect brain plasticity.•Patients with MCI may have unique graph metric alterations in the cerebellum.•Several graph metrics were significantly correlated with cognitive function and the ability of daily living. This study aimed to investigate the alterations in brain networks in patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI) based on a population-specific brain template. Previous studies on AD brain networks using graph theory rarely adopted brain templates specific for certain ethnicities. In this study, patients were divided into 3 groups: AD (n = 24), MCI (n = 27), and healthy controls (HCs, n = 33), and all of the subjects are Chinese. Functional brain networks were constructed for each group based on a Chinese brain template using resting-state functional magnetic resonance imaging (rs-fMRI) data; several graph metrics were calculated. Graph metrics with significant differences after false discovery rate (FDR) correction were analyzed with respect to correlations with four neuropsychological test scores: Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Activities of Daily Living (ADL), and Clinical Dementia Rating (CDR), which assessed the subjects’ cognitive functions and ability to engage in ADL. Graph metrics including assortativity coefficient, nodal degree centrality, nodal clustering coefficient, nodal efficiency, and nodal local efficiency of the frontal gyrus and cerebellum were significantly altered in AD and MCI compared with HC. Several graph metrics were significantly correlated with cognitive function and the ability to engage in daily activities. The findings suggest that altered graph metrics in the frontal gyrus may reflect brain plasticity, and that patients with MCI may have unique graph metric alterations in the cerebellum. Future graph analysis studies on functional brain networks in AD and MCI based on population-specific brain atlases for particular ethnicities may prove valuable.
AbstractList This study aimed to investigate the alterations in brain networks in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) based on a population-specific brain template. Previous studies on AD brain networks using graph theory rarely adopted brain templates specific for certain ethnicities. In this study, patients were divided into 3 groups: AD (n = 24), MCI (n = 27), and healthy controls (HCs, n = 33), and all of the subjects are Chinese. Functional brain networks were constructed for each group based on a Chinese brain template using resting-state functional magnetic resonance imaging (rs-fMRI) data; several graph metrics were calculated. Graph metrics with significant differences after false discovery rate (FDR) correction were analyzed with respect to correlations with four neuropsychological test scores: Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Activities of Daily Living (ADL), and Clinical Dementia Rating (CDR), which assessed the subjects' cognitive functions and ability to engage in ADL. Graph metrics including assortativity coefficient, nodal degree centrality, nodal clustering coefficient, nodal efficiency, and nodal local efficiency of the frontal gyrus and cerebellum were significantly altered in AD and MCI compared with HC. Several graph metrics were significantly correlated with cognitive function and the ability to engage in daily activities. The findings suggest that altered graph metrics in the frontal gyrus may reflect brain plasticity, and that patients with MCI may have unique graph metric alterations in the cerebellum. Future graph analysis studies on functional brain networks in AD and MCI based on population-specific brain atlases for particular ethnicities may prove valuable.
•This is the first functional brain network graph analysis on AD and MCI based on a population-specific Chinese brain atlas.•Assortativity, degree centrality, clustering, nodal and local efficiency of frontal gyrus, cerebellum altered in AD, MCI.•The altered graph metrics of the frontal gyrus may reflect brain plasticity.•Patients with MCI may have unique graph metric alterations in the cerebellum.•Several graph metrics were significantly correlated with cognitive function and the ability of daily living. This study aimed to investigate the alterations in brain networks in patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI) based on a population-specific brain template. Previous studies on AD brain networks using graph theory rarely adopted brain templates specific for certain ethnicities. In this study, patients were divided into 3 groups: AD (n = 24), MCI (n = 27), and healthy controls (HCs, n = 33), and all of the subjects are Chinese. Functional brain networks were constructed for each group based on a Chinese brain template using resting-state functional magnetic resonance imaging (rs-fMRI) data; several graph metrics were calculated. Graph metrics with significant differences after false discovery rate (FDR) correction were analyzed with respect to correlations with four neuropsychological test scores: Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Activities of Daily Living (ADL), and Clinical Dementia Rating (CDR), which assessed the subjects’ cognitive functions and ability to engage in ADL. Graph metrics including assortativity coefficient, nodal degree centrality, nodal clustering coefficient, nodal efficiency, and nodal local efficiency of the frontal gyrus and cerebellum were significantly altered in AD and MCI compared with HC. Several graph metrics were significantly correlated with cognitive function and the ability to engage in daily activities. The findings suggest that altered graph metrics in the frontal gyrus may reflect brain plasticity, and that patients with MCI may have unique graph metric alterations in the cerebellum. Future graph analysis studies on functional brain networks in AD and MCI based on population-specific brain atlases for particular ethnicities may prove valuable.
This study aimed to investigate the alterations in brain networks in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) based on a population-specific brain template. Previous studies on AD brain networks using graph theory rarely adopted brain templates specific for certain ethnicities. In this study, patients were divided into 3 groups: AD (n = 24), MCI (n = 27), and healthy controls (HCs, n = 33), and all of the subjects are Chinese. Functional brain networks were constructed for each group based on a Chinese brain template using resting-state functional magnetic resonance imaging (rs-fMRI) data; several graph metrics were calculated. Graph metrics with significant differences after false discovery rate (FDR) correction were analyzed with respect to correlations with four neuropsychological test scores: Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Activities of Daily Living (ADL), and Clinical Dementia Rating (CDR), which assessed the subjects' cognitive functions and ability to engage in ADL. Graph metrics including assortativity coefficient, nodal degree centrality, nodal clustering coefficient, nodal efficiency, and nodal local efficiency of the frontal gyrus and cerebellum were significantly altered in AD and MCI compared with HC. Several graph metrics were significantly correlated with cognitive function and the ability to engage in daily activities. The findings suggest that altered graph metrics in the frontal gyrus may reflect brain plasticity, and that patients with MCI may have unique graph metric alterations in the cerebellum. Future graph analysis studies on functional brain networks in AD and MCI based on population-specific brain atlases for particular ethnicities may prove valuable.This study aimed to investigate the alterations in brain networks in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) based on a population-specific brain template. Previous studies on AD brain networks using graph theory rarely adopted brain templates specific for certain ethnicities. In this study, patients were divided into 3 groups: AD (n = 24), MCI (n = 27), and healthy controls (HCs, n = 33), and all of the subjects are Chinese. Functional brain networks were constructed for each group based on a Chinese brain template using resting-state functional magnetic resonance imaging (rs-fMRI) data; several graph metrics were calculated. Graph metrics with significant differences after false discovery rate (FDR) correction were analyzed with respect to correlations with four neuropsychological test scores: Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Activities of Daily Living (ADL), and Clinical Dementia Rating (CDR), which assessed the subjects' cognitive functions and ability to engage in ADL. Graph metrics including assortativity coefficient, nodal degree centrality, nodal clustering coefficient, nodal efficiency, and nodal local efficiency of the frontal gyrus and cerebellum were significantly altered in AD and MCI compared with HC. Several graph metrics were significantly correlated with cognitive function and the ability to engage in daily activities. The findings suggest that altered graph metrics in the frontal gyrus may reflect brain plasticity, and that patients with MCI may have unique graph metric alterations in the cerebellum. Future graph analysis studies on functional brain networks in AD and MCI based on population-specific brain atlases for particular ethnicities may prove valuable.
Author Luo, Yuan
Sun, Tongtong
Ji, Yong
Fu, Xiuwei
Ma, Chunchao
Ni, Hongyan
Zhang, Xianchang
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  fullname: Luo, Yuan
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  surname: Sun
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  organization: Department of Radiology, First Central Clinical College, Tianjin Medical University, Tianjin, China
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  organization: Department of Neurology, Tianjin First Central Hospital, Tianjin, China
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  surname: Ni
  fullname: Ni, Hongyan
  email: hongyni@163.com
  organization: Department of Radiology, Tianjin First Central Hospital, Tianjin, China
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Keywords GRAPPA
GRETNA
MPRAGE
functional brain network
MoCA
ADAS-Cog
NPI
rs-fMRI
Frontal_Sup_Medial_L
ADL
LTP
T1WI
Frontal_Mid_L
cerebellum
CDR
SPM
MNI152
ANOVA
FDR
MMSE
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DWI
FLAIR
Cerebelum_Crus1_L
NIA-AA
DICOM
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brain plasticity
DPARSF
Cerebelum_Crus1_R
AD
GCA
SWI
graph analysis
AAL
NIfTI
HAMD
MCI
HIS
SMS
SUVR
HC
MTA
LTD
EPI
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Snippet •This is the first functional brain network graph analysis on AD and MCI based on a population-specific Chinese brain atlas.•Assortativity, degree centrality,...
This study aimed to investigate the alterations in brain networks in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) based on a...
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SubjectTerms Activities of Daily Living
Alzheimer Disease - diagnostic imaging
Brain - diagnostic imaging
brain plasticity
cerebellum
Cognitive Dysfunction - diagnostic imaging
functional brain network
graph analysis
Humans
Magnetic Resonance Imaging
Title Alterations of Brain Networks in Alzheimer’s Disease and Mild Cognitive Impairment: A Resting State fMRI Study Based on a Population-specific Brain Template
URI https://www.clinicalkey.com/#!/content/1-s2.0-S0306452220306849
https://dx.doi.org/10.1016/j.neuroscience.2020.10.023
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