The Age-Related Perfusion Pattern Measured With Arterial Spin Labeling MRI in Healthy Subjects

To analyze age-related cerebral blood flow (CBF) using arterial spin labeling (ASL) MRI in healthy subjects with multivariate principal component analysis (PCA). 50 healthy subjects (mean age 45.8 ± 18.5 years, range 21-85) had 3D structural MRI and pseudo-continuous ASL MRI at resting state. The re...

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Published inFrontiers in aging neuroscience Vol. 10; p. 214
Main Authors Zhang, Nan, Gordon, Marc L., Ma, Yilong, Chi, Bradley, Gomar, Jesus J., Peng, Shichun, Kingsley, Peter B., Eidelberg, David, Goldberg, Terry E.
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 17.07.2018
Frontiers Media S.A
Subjects
Age
Aging
arterial spin labeling
Blood flow
Brain research
Cerebellum
Cerebral blood flow
Disease
Magnetic resonance imaging
Medical research
Metabolism
Neurology
Neuroscience
NMR
Nuclear magnetic resonance
Perfusion
principal component analysis
Principal components analysis
scaled subprofile model
Spin labeling
Tomography
United States > US
scaled subprofile model
cerebral blood flow
aging
arterial spin labeling
principal component analysis
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Abstract To analyze age-related cerebral blood flow (CBF) using arterial spin labeling (ASL) MRI in healthy subjects with multivariate principal component analysis (PCA). 50 healthy subjects (mean age 45.8 ± 18.5 years, range 21-85) had 3D structural MRI and pseudo-continuous ASL MRI at resting state. The relationship between CBF and age was examined with voxel-based univariate analysis using multiple regression and two-sample -test (median age 41.8 years as a cut-off). An age-related CBF pattern was identified using multivariate PCA. Age correlated negatively with CBF especially anteriorly and in the cerebellum. After adjusting by global value, CBF was relatively decreased with aging in certain regions and relatively increased in others. The age-related CBF pattern showed relative reductions in frontal and parietal areas and cerebellum, and covarying increases in temporal and occipital areas. Subject scores of this pattern correlated negatively with age ( = 0.588; < 0.001) and discriminated between the older and younger subgroups ( < 0.001). A distinct age-related CBF pattern can be identified with multivariate PCA using ASL MRI.
AbstractList Aim: To analyze age-related cerebral blood flow (CBF) using arterial spin labeling (ASL) MRI in healthy subjects with multivariate principal component analysis (PCA). Methods: 50 healthy subjects (mean age 45.8 ± 18.5 years, range 21-85) had 3D structural MRI and pseudo-continuous ASL MRI at resting state. The relationship between CBF and age was examined with voxel-based univariate analysis using multiple regression and two-sample t-test (median age 41.8 years as a cut-off). An age-related CBF pattern was identified using multivariate PCA. Results: Age correlated negatively with CBF especially anteriorly and in cerebellum. After adjusting by global value, CBF was relatively decreased with aging in certain regions and relatively increased in others. The age-related CBF pattern showed relative reductions in frontal and parietal areas and cerebellum, and covarying increases in temporal and occipital areas. Subject scores of this pattern correlated negatively with age (R2 = 0.588; P < 0.001) and discriminated between the older and younger subgroups (P < 0.001). Conclusion: A distinct age-related CBF pattern can be identified with multivariate PCA using ASL MRI.
Aim: To analyze age-related cerebral blood flow (CBF) using arterial spin labeling (ASL) MRI in healthy subjects with multivariate principal component analysis (PCA).Methods: 50 healthy subjects (mean age 45.8 ± 18.5 years, range 21–85) had 3D structural MRI and pseudo-continuous ASL MRI at resting state. The relationship between CBF and age was examined with voxel-based univariate analysis using multiple regression and two-sample t-test (median age 41.8 years as a cut-off). An age-related CBF pattern was identified using multivariate PCA.Results: Age correlated negatively with CBF especially anteriorly and in the cerebellum. After adjusting by global value, CBF was relatively decreased with aging in certain regions and relatively increased in others. The age-related CBF pattern showed relative reductions in frontal and parietal areas and cerebellum, and covarying increases in temporal and occipital areas. Subject scores of this pattern correlated negatively with age (R2 = 0.588; P < 0.001) and discriminated between the older and younger subgroups (P < 0.001).Conclusion: A distinct age-related CBF pattern can be identified with multivariate PCA using ASL MRI.
To analyze age-related cerebral blood flow (CBF) using arterial spin labeling (ASL) MRI in healthy subjects with multivariate principal component analysis (PCA). 50 healthy subjects (mean age 45.8 ± 18.5 years, range 21-85) had 3D structural MRI and pseudo-continuous ASL MRI at resting state. The relationship between CBF and age was examined with voxel-based univariate analysis using multiple regression and two-sample -test (median age 41.8 years as a cut-off). An age-related CBF pattern was identified using multivariate PCA. Age correlated negatively with CBF especially anteriorly and in the cerebellum. After adjusting by global value, CBF was relatively decreased with aging in certain regions and relatively increased in others. The age-related CBF pattern showed relative reductions in frontal and parietal areas and cerebellum, and covarying increases in temporal and occipital areas. Subject scores of this pattern correlated negatively with age ( = 0.588; < 0.001) and discriminated between the older and younger subgroups ( < 0.001). A distinct age-related CBF pattern can be identified with multivariate PCA using ASL MRI.
Aim: To analyze age-related cerebral blood flow (CBF) using arterial spin labeling (ASL) MRI in healthy subjects with multivariate principal component analysis (PCA). Methods: 50 healthy subjects (mean age 45.8 ± 18.5 years, range 21-85) had 3D structural MRI and pseudo-continuous ASL MRI at resting state. The relationship between CBF and age was examined with voxel-based univariate analysis using multiple regression and two-sample t-test (median age 41.8 years as a cut-off). An age-related CBF pattern was identified using multivariate PCA. Results: Age correlated negatively with CBF especially anteriorly and in the cerebellum. After adjusting by global value, CBF was relatively decreased with aging in certain regions and relatively increased in others. The age-related CBF pattern showed relative reductions in frontal and parietal areas and cerebellum, and covarying increases in temporal and occipital areas. Subject scores of this pattern correlated negatively with age (R2 = 0.588; P < 0.001) and discriminated between the older and younger subgroups (P < 0.001). Conclusion: A distinct age-related CBF pattern can be identified with multivariate PCA using ASL MRI.Aim: To analyze age-related cerebral blood flow (CBF) using arterial spin labeling (ASL) MRI in healthy subjects with multivariate principal component analysis (PCA). Methods: 50 healthy subjects (mean age 45.8 ± 18.5 years, range 21-85) had 3D structural MRI and pseudo-continuous ASL MRI at resting state. The relationship between CBF and age was examined with voxel-based univariate analysis using multiple regression and two-sample t-test (median age 41.8 years as a cut-off). An age-related CBF pattern was identified using multivariate PCA. Results: Age correlated negatively with CBF especially anteriorly and in the cerebellum. After adjusting by global value, CBF was relatively decreased with aging in certain regions and relatively increased in others. The age-related CBF pattern showed relative reductions in frontal and parietal areas and cerebellum, and covarying increases in temporal and occipital areas. Subject scores of this pattern correlated negatively with age (R2 = 0.588; P < 0.001) and discriminated between the older and younger subgroups (P < 0.001). Conclusion: A distinct age-related CBF pattern can be identified with multivariate PCA using ASL MRI.
Aim: To analyze age-related cerebral blood flow (CBF) using arterial spin labeling (ASL) MRI in healthy subjects with multivariate principal component analysis (PCA). Methods: 50 healthy subjects (mean age 45.8 ± 18.5 years, range 21–85) had 3D structural MRI and pseudo-continuous ASL MRI at resting state. The relationship between CBF and age was examined with voxel-based univariate analysis using multiple regression and two-sample t -test (median age 41.8 years as a cut-off). An age-related CBF pattern was identified using multivariate PCA. Results: Age correlated negatively with CBF especially anteriorly and in the cerebellum. After adjusting by global value, CBF was relatively decreased with aging in certain regions and relatively increased in others. The age-related CBF pattern showed relative reductions in frontal and parietal areas and cerebellum, and covarying increases in temporal and occipital areas. Subject scores of this pattern correlated negatively with age ( R 2 = 0.588; P < 0.001) and discriminated between the older and younger subgroups ( P < 0.001). Conclusion: A distinct age-related CBF pattern can be identified with multivariate PCA using ASL MRI.
Author Kingsley, Peter B.
Peng, Shichun
Zhang, Nan
Eidelberg, David
Gomar, Jesus J.
Gordon, Marc L.
Ma, Yilong
Chi, Bradley
Goldberg, Terry E.
AuthorAffiliation 1 The Litwin-Zucker Research Center, The Feinstein Institute for Medical Research, Northwell Health , Manhasset, NY , United States
4 Center for Neurosciences, The Feinstein Institute for Medical Research, Northwell Health , Manhasset, NY , United States
5 Department of Radiology, North Shore University Hospital, Northwell Health , Manhasset, NY , United States
2 Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital , Tianjin , China
3 Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, Hofstra University , Hepstead, NY , United States
AuthorAffiliation_xml – name: 5 Department of Radiology, North Shore University Hospital, Northwell Health , Manhasset, NY , United States
– name: 3 Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, Hofstra University , Hepstead, NY , United States
– name: 4 Center for Neurosciences, The Feinstein Institute for Medical Research, Northwell Health , Manhasset, NY , United States
– name: 1 The Litwin-Zucker Research Center, The Feinstein Institute for Medical Research, Northwell Health , Manhasset, NY , United States
– name: 2 Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital , Tianjin , China
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/30065646$$D View this record in MEDLINE/PubMed
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Copyright © 2018 Zhang, Gordon, Ma, Chi, Gomar, Peng, Kingsley, Eidelberg and Goldberg. 2018 Zhang, Gordon, Ma, Chi, Gomar, Peng, Kingsley, Eidelberg and Goldberg
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– notice: Copyright © 2018 Zhang, Gordon, Ma, Chi, Gomar, Peng, Kingsley, Eidelberg and Goldberg. 2018 Zhang, Gordon, Ma, Chi, Gomar, Peng, Kingsley, Eidelberg and Goldberg
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Keywords scaled subprofile model
cerebral blood flow
aging
arterial spin labeling
principal component analysis
Language English
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Edited by: Pedro Rosa-Neto, McGill University, Canada
Present address: Terry E. Goldberg, Division of Geriatric Psychiatry, Columbia University Medical Center, New York, NY, United States
Reviewed by: Francesca Trojsi, Università degli Studi della Campania ‘Luigi Vanvitelli’ Naples, Italy; Wen Wang, Fourth Military Medical University, China
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PublicationTitle Frontiers in aging neuroscience
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Snippet To analyze age-related cerebral blood flow (CBF) using arterial spin labeling (ASL) MRI in healthy subjects with multivariate principal component analysis...
Aim: To analyze age-related cerebral blood flow (CBF) using arterial spin labeling (ASL) MRI in healthy subjects with multivariate principal component analysis...
Aim: To analyze age-related cerebral blood flow (CBF) using arterial spin labeling (ASL) MRI in healthy subjects with multivariate principal component analysis...
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StartPage 214
SubjectTerms Age
Aging
arterial spin labeling
Blood flow
Brain research
Cerebellum
Cerebral blood flow
Disease
Magnetic resonance imaging
Medical research
Metabolism
Neurology
Neuroscience
NMR
Nuclear magnetic resonance
Perfusion
principal component analysis
Principal components analysis
scaled subprofile model
Spin labeling
Tomography
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Title The Age-Related Perfusion Pattern Measured With Arterial Spin Labeling MRI in Healthy Subjects
URI https://www.ncbi.nlm.nih.gov/pubmed/30065646
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