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Normative Cerebral Perfusion Across the Lifespan.
Xinglin Zeng1, Yiran Li1, Lin Hua2
1Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States.
Arxiv
|February 24, 2025
Summary
This study models human brain blood flow (cerebral perfusion) from birth to age 85 using MRI. It reveals typical development, sex differences, and disease-related changes, aiding early detection of neurovascular issues.
Area of Science:
- Neuroimaging
- Human Lifespan Development
- Cerebrovascular Health
Background:
- Cerebral perfusion is vital for brain function and linked to neuronal activity.
- Previous lifespan studies of cerebral perfusion were limited by small sample sizes and inconsistent methods.
- A comprehensive understanding of cerebral perfusion dynamics across the entire human lifespan is lacking.
Purpose of the Study:
- To construct the first normative model of cerebral perfusion across the human lifespan (birth to 85 years).
- To map nonlinear growth trajectories of cerebral perfusion at global, network, and regional levels.
- To identify disease-specific perfusion abnormalities and establish typical/atypical trajectories for prognostic value.
Main Methods:
- Utilized a large multi-site dataset of over 12,000 arterial spin labeling (ASL) MRI scans.
- Employed generalized additive models for location, scale, and shape (GAMLSS) for normative modeling.
- Analyzed global, network, and regional cerebral perfusion, incorporating longitudinal data.
Main Results:
- Established nonlinear trajectories of cerebral perfusion, peaking around 7.1 years and declining thereafter.
- Identified sex-specific regional maturation patterns in cerebral perfusion.
- Quantified deviations from normative patterns in four brain disorders, showing disease-specific abnormalities.
Conclusions:
- Provides a robust normative framework for cerebral perfusion across the human lifespan.
- Facilitates precise characterization of brain health and neurovascular function.
- Enhances early identification of neurovascular dysfunction and disease progression using perfusion biomarkers.

