Distinct laterality alterations distinguish mild cognitive impairment and Alzheimer's disease from healthy aging: Statistical parametric mapping with high resolution MRI

Laterality of human brain varies under healthy aging and diseased conditions. The alterations in hemispheric asymmetry may embed distinct biomarkers linked to the disease dynamics. Statistical parametric mapping based on high‐resolution magnetic resonance imaging (MRI) and image processing technique...

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Published inHuman brain mapping Vol. 34; no. 12; pp. 3400 - 3410
Main Authors Long, Xiaojing, Zhang, Lijuan, Liao, Weiqi, Jiang, Chunxiang, Qiu, Bensheng
Format Journal Article
LanguageEnglish
Published New York, NY Blackwell Publishing Ltd 01.12.2013
Wiley-Liss
John Wiley & Sons, Inc
John Wiley and Sons Inc
Subjects
Adult
Age Factors
Aged
Aged, 80 and over
Aging
Alzheimer Disease - diagnosis
Alzheimer's disease
Biological and medical sciences
Brain Mapping
Cognitive Dysfunction - diagnosis
Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases
Female
Functional Laterality - physiology
healthy aging
hemispheric asymmetry
high-resolution MRI
human brain mapping
Humans
Image Processing, Computer-Assisted
Investigative techniques, diagnostic techniques (general aspects)
Magnetic Resonance Imaging - methods
Male
MANCOVA
Medical sciences
Mental Status Schedule
Middle Aged
mild cognitive impairment
Nervous system
Neurology
Radiodiagnosis. Nmr imagery. Nmr spectrometry
statistical parametric mapping
voxel-based morphometry
Young Adult
High resolution
Senescence
MANCOVA
Alzheimer disease
Central nervous system
Encephalon
Voxel
Degenerative disease
Laterality
healthy aging
Alzheimer's disease
Human
Cartography
Nervous system diseases
Radiodiagnosis
voxel-based morphometry
Nuclear magnetic resonance imaging
Cerebral disorder
human brain mapping
Asymmetry
Central nervous system disease
hemispheric asymmetry
mild cognitive impairment
Morphometry
high-resolution MRI
statistical parametric mapping
Online AccessGet full text
ISSN1065-9471
1097-0193
1097-0193
DOI10.1002/hbm.22157

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Abstract Laterality of human brain varies under healthy aging and diseased conditions. The alterations in hemispheric asymmetry may embed distinct biomarkers linked to the disease dynamics. Statistical parametric mapping based on high‐resolution magnetic resonance imaging (MRI) and image processing techniques have allowed automated characterization of morphological features across the entire brain. In this study, 149 subjects grouped in healthy young, healthy elderly, mild cognitive impairment (MCI), and Alzheimer's disease (AD) were investigated using multivariate analysis for regional cerebral laterality indexed by surface area, curvature index, cortical thickness, and subjacent white matter volume measured on high‐resolution MR images. Asymmetry alteration of MCI and AD were characterized by marked region‐specific reduction, while healthy elderly featured a distinct laterality shift in the limbic system in addition to regional asymmetry loss. Lack of the laterality shift in limbic system and early loss of asymmetry in entorhinal cortex may be biomarkers to identify preclinical AD among other dementia. Multivariate analysis of hemispheric asymmetry may provide information helpful for monitoring the disease progress and improving the management of MCI and AD. Hum Brain Mapp 34:3400–3410, 2013. © 2012 Wiley Periodicals, Inc.
AbstractList Laterality of human brain varies under healthy aging and diseased conditions. The alterations in hemispheric asymmetry may embed distinct biomarkers linked to the disease dynamics. Statistical parametric mapping based on high-resolution magnetic resonance imaging (MRI) and image processing techniques have allowed automated characterization of morphological features across the entire brain. In this study, 149 subjects grouped in healthy young, healthy elderly, mild cognitive impairment (MCI), and Alzheimer's disease (AD) were investigated using multivariate analysis for regional cerebral laterality indexed by surface area, curvature index, cortical thickness, and subjacent white matter volume measured on high-resolution MR images. Asymmetry alteration of MCI and AD were characterized by marked region-specific reduction, while healthy elderly featured a distinct laterality shift in the limbic system in addition to regional asymmetry loss. Lack of the laterality shift in limbic system and early loss of asymmetry in entorhinal cortex may be biomarkers to identify preclinical AD among other dementia. Multivariate analysis of hemispheric asymmetry may provide information helpful for monitoring the disease progress and improving the management of MCI and AD.
Laterality of human brain varies under healthy aging and diseased conditions. The alterations in hemispheric asymmetry may embed distinct biomarkers linked to the disease dynamics. Statistical parametric mapping based on high‐resolution magnetic resonance imaging (MRI) and image processing techniques have allowed automated characterization of morphological features across the entire brain. In this study, 149 subjects grouped in healthy young, healthy elderly, mild cognitive impairment (MCI), and Alzheimer's disease (AD) were investigated using multivariate analysis for regional cerebral laterality indexed by surface area, curvature index, cortical thickness, and subjacent white matter volume measured on high‐resolution MR images. Asymmetry alteration of MCI and AD were characterized by marked region‐specific reduction, while healthy elderly featured a distinct laterality shift in the limbic system in addition to regional asymmetry loss. Lack of the laterality shift in limbic system and early loss of asymmetry in entorhinal cortex may be biomarkers to identify preclinical AD among other dementia. Multivariate analysis of hemispheric asymmetry may provide information helpful for monitoring the disease progress and improving the management of MCI and AD. Hum Brain Mapp 34:3400–3410, 2013 . © 2012 Wiley Periodicals, Inc.
Laterality of human brain varies under healthy aging and diseased conditions. The alterations in hemispheric asymmetry may embed distinct biomarkers linked to the disease dynamics. Statistical parametric mapping based on high-resolution magnetic resonance imaging (MRI) and image processing techniques have allowed automated characterization of morphological features across the entire brain. In this study, 149 subjects grouped in healthy young, healthy elderly, mild cognitive impairment (MCI), and Alzheimer's disease (AD) were investigated using multivariate analysis for regional cerebral laterality indexed by surface area, curvature index, cortical thickness, and subjacent white matter volume measured on high-resolution MR images. Asymmetry alteration of MCI and AD were characterized by marked region-specific reduction, while healthy elderly featured a distinct laterality shift in the limbic system in addition to regional asymmetry loss. Lack of the laterality shift in limbic system and early loss of asymmetry in entorhinal cortex may be biomarkers to identify preclinical AD among other dementia. Multivariate analysis of hemispheric asymmetry may provide information helpful for monitoring the disease progress and improving the management of MCI and AD. Hum Brain Mapp 34:3400-3410, 2013. © 2012 Wiley Periodicals, Inc. [PUBLICATION ABSTRACT]
Laterality of human brain varies under healthy aging and diseased conditions. The alterations in hemispheric asymmetry may embed distinct biomarkers linked to the disease dynamics. Statistical parametric mapping based on high-resolution magnetic resonance imaging (MRI) and image processing techniques have allowed automated characterization of morphological features across the entire brain. In this study, 149 subjects grouped in healthy young, healthy elderly, mild cognitive impairment (MCI), and Alzheimer's disease (AD) were investigated using multivariate analysis for regional cerebral laterality indexed by surface area, curvature index, cortical thickness, and subjacent white matter volume measured on high-resolution MR images. Asymmetry alteration of MCI and AD were characterized by marked region-specific reduction, while healthy elderly featured a distinct laterality shift in the limbic system in addition to regional asymmetry loss. Lack of the laterality shift in limbic system and early loss of asymmetry in entorhinal cortex may be biomarkers to identify preclinical AD among other dementia. Multivariate analysis of hemispheric asymmetry may provide information helpful for monitoring the disease progress and improving the management of MCI and AD.Laterality of human brain varies under healthy aging and diseased conditions. The alterations in hemispheric asymmetry may embed distinct biomarkers linked to the disease dynamics. Statistical parametric mapping based on high-resolution magnetic resonance imaging (MRI) and image processing techniques have allowed automated characterization of morphological features across the entire brain. In this study, 149 subjects grouped in healthy young, healthy elderly, mild cognitive impairment (MCI), and Alzheimer's disease (AD) were investigated using multivariate analysis for regional cerebral laterality indexed by surface area, curvature index, cortical thickness, and subjacent white matter volume measured on high-resolution MR images. Asymmetry alteration of MCI and AD were characterized by marked region-specific reduction, while healthy elderly featured a distinct laterality shift in the limbic system in addition to regional asymmetry loss. Lack of the laterality shift in limbic system and early loss of asymmetry in entorhinal cortex may be biomarkers to identify preclinical AD among other dementia. Multivariate analysis of hemispheric asymmetry may provide information helpful for monitoring the disease progress and improving the management of MCI and AD.
Laterality of human brain varies under healthy aging and diseased conditions. The alterations in hemispheric asymmetry may embed distinct biomarkers linked to the disease dynamics. Statistical parametric mapping based on high‐resolution magnetic resonance imaging (MRI) and image processing techniques have allowed automated characterization of morphological features across the entire brain. In this study, 149 subjects grouped in healthy young, healthy elderly, mild cognitive impairment (MCI), and Alzheimer's disease (AD) were investigated using multivariate analysis for regional cerebral laterality indexed by surface area, curvature index, cortical thickness, and subjacent white matter volume measured on high‐resolution MR images. Asymmetry alteration of MCI and AD were characterized by marked region‐specific reduction, while healthy elderly featured a distinct laterality shift in the limbic system in addition to regional asymmetry loss. Lack of the laterality shift in limbic system and early loss of asymmetry in entorhinal cortex may be biomarkers to identify preclinical AD among other dementia. Multivariate analysis of hemispheric asymmetry may provide information helpful for monitoring the disease progress and improving the management of MCI and AD. Hum Brain Mapp 34:3400–3410, 2013. © 2012 Wiley Periodicals, Inc.
Author Long, Xiaojing
Zhang, Lijuan
Qiu, Bensheng
Jiang, Chunxiang
Liao, Weiqi
AuthorAffiliation 1 Paul. C. Lauterbur Research Centers for Biomedical Imaging Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China
AuthorAffiliation_xml – name: 1 Paul. C. Lauterbur Research Centers for Biomedical Imaging Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China
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  email: lj.zhang@siat.ac.cn
  organization: Paul. C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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  surname: Liao
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  surname: Qiu
  fullname: Qiu, Bensheng
  organization: Paul. C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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Alzheimer's Disease Neuroimaging Initiative
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DocumentTitleAlternate Laterality Alterations in Aging, MCI and AD
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Issue 12
Keywords High resolution
Senescence
MANCOVA
Alzheimer disease
Central nervous system
Encephalon
Voxel
Degenerative disease
Laterality
healthy aging
Alzheimer's disease
Human
Cartography
Nervous system diseases
Radiodiagnosis
voxel-based morphometry
Nuclear magnetic resonance imaging
Cerebral disorder
human brain mapping
Asymmetry
Central nervous system disease
hemispheric asymmetry
mild cognitive impairment
Morphometry
high-resolution MRI
statistical parametric mapping
Language English
License http://onlinelibrary.wiley.com/termsAndConditions#vor
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Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.ucla.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at http://adni.loni.ucla.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.
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Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (http://adni.loni.ucla.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at http://adni.loni.ucla.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.
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PublicationDate December 2013
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PublicationTitle Human brain mapping
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Publisher Blackwell Publishing Ltd
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2002; 58
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2009; 46
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1993; 5
1861; 6
2007; 1097
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1985
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1999; 10
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2011; 25
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1998; 51
2009; 19
2001; 14
2012; 22
2007; 68
2010; 30
1998; 55
1996; 20
1996; 6
1988
2012; 62
1997; 60
2010
2008; 18
2002; 5
1993; 43
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2005; 43
1874
2011; 35
2000; 197
1993
2002
2011; 3
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1999
2002; 26
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2001; 4
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1884; 479
1995; 45
2003; 24
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2009; 1295
2005; 16
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2010; 52
2010; 51
1998; 8
1996; 44
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Snippet Laterality of human brain varies under healthy aging and diseased conditions. The alterations in hemispheric asymmetry may embed distinct biomarkers linked to...
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StartPage 3400
SubjectTerms Adult
Age Factors
Aged
Aged, 80 and over
Aging
Alzheimer Disease - diagnosis
Alzheimer's disease
Biological and medical sciences
Brain Mapping
Cognitive Dysfunction - diagnosis
Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases
Female
Functional Laterality - physiology
healthy aging
hemispheric asymmetry
high-resolution MRI
human brain mapping
Humans
Image Processing, Computer-Assisted
Investigative techniques, diagnostic techniques (general aspects)
Magnetic Resonance Imaging - methods
Male
MANCOVA
Medical sciences
Mental Status Schedule
Middle Aged
mild cognitive impairment
Nervous system
Neurology
Radiodiagnosis. Nmr imagery. Nmr spectrometry
statistical parametric mapping
voxel-based morphometry
Young Adult
Title Distinct laterality alterations distinguish mild cognitive impairment and Alzheimer's disease from healthy aging: Statistical parametric mapping with high resolution MRI
URI https://api.istex.fr/ark:/67375/WNG-LWLQ0NC6-C/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fhbm.22157
https://www.ncbi.nlm.nih.gov/pubmed/22927141
https://www.proquest.com/docview/1445133911
https://www.proquest.com/docview/1447108132
https://pubmed.ncbi.nlm.nih.gov/PMC6870259
Volume 34
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