Evidence map›Paper›PMID 40314210›Full record

ReviewJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2025

Cerebrovascular morphology: Insights into normal variations, aging effects and disease implications.

Aditi Deshpande, Lucy Q Zhang, Ramani Balu, Noushin Yahyavi-Firouz-Abadi, Neeraj Badjatia, Kaveh Laksari, Pouya Tahsili-Fahadan

Abstract readReview
In one paragraph

Review in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  7. A new method for visualizing cerebrovascular vessels.Frontiers in molecular neuroscience · 2026
    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.

Aditi DeshpandeDepartment of Mechanical Engineering, University of California, Riverside, USA.ORCID 0009-0007-7507-1099
Lucy Q ZhangDepartment of Neurology, Duke University School of Medicine, Durham, NC, USA.
Ramani BaluVascular Neurology and Neurocritical Care, Inova Neuroscience and Spine Institute, Inova Fairfax Medical Campus, Falls Church, VA, USA.
Noushin Yahyavi-Firouz-AbadiDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Neeraj BadjatiaDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
Kaveh LaksariDepartment of Mechanical Engineering, University of California, Riverside, USA.
Pouya Tahsili-FahadanVascular Neurology and Neurocritical Care, Inova Neuroscience and Spine Institute, Inova Fairfax Medical Campus, Falls Church, VA, USA.

Funding

Dynamic cerebrovascular morphology changes in acute ischemic strokeR01NS131554 · NINDS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Kaveh Laksari, Pouya Tahsili Fahadan · 2024 to 2026
$1.9M
Enhanced Clinical Diagnosis through Imaging and Modeling: A Machine Learning Data Fusion FrameworkR21EB032187 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BABAEE, HESSAM, LAKSARI, KAVEH · 2021 to 2023
$636k
Noninvasive Real-time Estimation of Cerebral Blood Flow for Personalized Stroke AssessmentR03NS108167 · NINDS · UNIVERSITY OF ARIZONA · PI BABAEE, HESSAM, LAKSARI, KAVEH · 2019 to 2020
$161k
NIBIB NIH HHS R21 EB032187NINDS NIH HHS R01 NS131554NINDS NIH HHS R03 NS108167
6 · The paper itself

Abstract

Cerebrovascular morphology plays a critical role in brain health, influencing cerebral blood flow (CBF) and contributing to the pathogenesis of various neurological diseases. This review examines the anatomical structure of the cerebrovascular network and its variations in healthy and diseased populations and highlights age-related changes and their implications in various neurological conditions. Normal variations, including the completeness and anatomical anomalies of the Circle of Willis and collateral circulation, are discussed in relation to their impact on CBF and susceptibility to ischemic events. Age-related changes in the cerebrovascular system, such as alterations in vessel geometry and density, are explored for their contributions to age-related neurological disorders, including Alzheimer's disease and vascular dementia. Advances in medical imaging and computational methods have enabled automatic quantitative assessment of cerebrovascular structures, facilitating the identification of pathological changes in both acute and chronic cerebrovascular disorders. Emerging technologies, including machine learning and computational fluid dynamics, offer new tools for predicting disease risk and patient outcomes based on vascular morphology. This review underscores the importance of understanding cerebrovascular remodeling for early diagnosis and the development of novel therapeutic approaches in brain diseases.

Indexed as

AgingBrainCerebrovascular CirculationCerebrovascular DisordersHumansAlzheimer’s diseasecerebrovascular disordersneurological disordersstrokeVascular morphology

Identifiers

PMID40314210
PMCPMC12048404

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.