Evidence map›Paper›PMID 40634347›Full record

ArticleScientific data2025

Age- and Sex-Specific Cerebral Blood Flow Atlases for Healthy Brain Across the Lifespan.

Ziyu Meng, Yuhao Ma, Wenqi Zhang, Huixiang Zhuang, Chang Xu, Yaoyu Zhang, Yao Li

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. An MRI Atlas of Regional Brain Vulnerability to Metastatic Disease.medRxiv : the preprint server for health sciences · 2026
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ziyu MengNational Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-1991-0210
Yuhao MaNational Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0009-0005-4400-9714
Wenqi ZhangNational Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Huixiang ZhuangNational Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Chang XuNational Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Yaoyu ZhangNational Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Yao LiNational Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. yaoli@sjtu.edu.cn.ORCID 0000-0001-5009-7443

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MONICA G. RIVERA-MINDT · 2016 to 2026
$226.7M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Alzheimer's Disease Neuroimaging Initiative (ADNI) AG024904, W81XWH-12-2-0012NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG024904
6 · The paper itself

Abstract

Cerebral blood flow (CBF) is a crucial biological marker providing valuable insights into the developmental and aging processes of the central nervous system. A comprehensive understanding of the age- and sex-specific distribution of CBF in healthy populations is essential for distinguishing between pathological changes and those associated with normal aging. This study introduces a collection of age- and sex-specific CBF atlases across the lifespan (7-93 years old), derived from a large data size (N = 1166) obtained from four public and one private datasets. The CBF maps were measured using pseudo-continuous arterial spin labelling (pCASL) MRI and registered to age-specific structural templates derived from corresponding T1-weighted scans. This approach enables a more precise characterization of CBF changes associated with anatomical variations across different age groups. To ensure data reliability, rigorous quality control procedures and extensive validation at both temporal and spatial scales were conducted. These openly accessible atlases serve as a valuable public neuroimaging resource, facilitating the identification of CBF patterns across various stages of development and aging. Additionally, they provide age- and sex-specific health priors, aiding in the detection of abnormal CBF associated with brain disorders throughout the lifespan.

Indexed as

AgingBrainCerebrovascular CirculationAdolescentAdultAgedAged, 80 and overChildFemaleHumansLongevityMagnetic Resonance ImagingMaleMiddle AgedYoung Adult

Identifiers

PMID40634347
PMCPMC12241557

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.