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The Age-Related Perfusion Pattern Measured With Arterial Spin Labeling MRI in Healthy Subjects
Nan Zhang1,2, Marc L Gordon1,3, Yilong Ma4
1The Litwin-Zucker Research Center, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, United States.
Principal component analysis (PCA) of arterial spin labeling (ASL) MRI reveals a distinct age-related cerebral blood flow (CBF) pattern in healthy adults. This pattern shows regional CBF changes associated with aging.
Area of Science:
- Neuroimaging
- Radiology
- Gerontology
Background:
- Cerebral blood flow (CBF) changes with age, impacting brain health.
- Arterial spin labeling (ASL) MRI is a non-invasive technique to measure CBF.
- Understanding age-related CBF patterns is crucial for identifying neurological changes.
Purpose of the Study:
- To investigate age-related changes in CBF using ASL MRI.
- To identify a specific age-related CBF pattern in healthy subjects.
- To apply multivariate principal component analysis (PCA) for pattern identification.
Main Methods:
- 50 healthy subjects underwent 3D structural and pseudo-continuous ASL MRI.
- Voxel-based univariate analysis (multiple regression, t-test) examined CBF-age relationships.
- Multivariate PCA identified an age-related CBF pattern.
Main Results:
- Negative correlation between age and CBF, particularly in anterior regions and cerebellum.
- Age-related CBF pattern showed reduced flow in frontal, parietal areas, and cerebellum.
- Covarying increases in temporal and occipital CBF were observed with aging.
- The identified pattern scores correlated negatively with age (R² = 0.588, P < 0.001).
Conclusions:
- Multivariate PCA effectively identifies a distinct age-related CBF pattern using ASL MRI.
- This pattern highlights regional CBF alterations associated with normal aging.
- Findings contribute to understanding brain aging through non-invasive neuroimaging.
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