Evidence map›Paper›PMID 37988131›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2024

Vascular synthesis based on hemodynamic efficiency principle recapitulates measured cerebral circulation properties in the human brain.

Andreas A Linninger, Thomas Ventimiglia, Mohammad Jamshidi, Mathieu Pascal Suisse, Ali Alaraj, Frédéric Lesage, Xin Li, Daniel L Schwartz, William D Rooney

Open access · hybridAbstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Assessing cerebral capillary function and stalling using single capillary reporters in ultrasound localization microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Computational Framework for Modeling Effects of Brain Collateral Circulation.International journal for numerical methods in biomedical engineering · 2025
    Article
  6. Article
  7. Article
  8. Article
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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

9 authors at 4 institutions in 2 countries.

Andreas A LinningerDepartment of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, USA.
Thomas VentimigliaDepartment of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, USA.
Mohammad JamshidiDepartment of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, USA.
Mathieu Pascal SuisseDepartment of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, USA.
Ali AlarajDepartment of Neurosurgery, University of Illinois at Chicago, Chicago, IL, USA.
Frédéric LesageDepartment of Electrical Engineering, Polytechnique Montréal, Montréal, QC, Canada.
Xin LiAdvanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA.
Daniel L SchwartzAdvanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA.
William D RooneyAdvanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA.
University of Illinois Chicago · USAdvanced Imaging Research (United States) · USOregon Health & Science University · USPolytechnique Montréal · CA

Funding

Project 4U19NS123717 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LINNINGER, ANDREAS A · 2021 to 2025
$13.4M
Image-based cerebrovascular network snythesis(iCNS) to model Alzheimer's DiseaseR01AG079894 · NIA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ANDREAS A LINNINGER · 2023 to 2026
$2.9M
A Prisma Upgrade for the OHSU Advanced Imaging Research Center 3T MRI InstrumentS10OD021701 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI ROONEY, WILLIAM D · 2016 to 2016
$1.6M
Models for aging and Alzheimer with image-based cerebrovascular network synthesis (iCNS)R56AG066634 · NIA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LINNINGER, ANDREAS A · 2020 to 2020
$744k
A High-Performance Computing System for Advanced ImagingS10OD018224 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI ROONEY, WILLIAM D · 2014 to 2014
$222k
Research-Dedicated PACS Server for the OHSU Advanced Imaging Research CenterS10RR027694 · NCRR · OREGON HEALTH & SCIENCE UNIVERSITY · PI BARBARA, THOMAS MICHAEL · 2010 to 2010
$102k
NCRR NIH HHS S10 RR027694NIA NIH HHS R01 AG079894NIA NIH HHS R56 AG066634NIH HHS S10 OD018224NIH HHS S10 OD021701NINDS NIH HHS U19 NS123717
6 · The paper itself

Abstract

Quantifying anatomical and hemodynamical properties of the brain vasculature in vivo is difficult due to limited spatiotemporal resolution neuroimaging, variability between subjects, and bias between acquisition techniques. This work introduces a metabolically inspired vascular synthesis algorithm for creating a digital representation of the cortical blood supply in humans. Spatial organization and segment resistances of a cortical vascular network were generated. Cortical folding and macroscale arterial and venous vessels were reconstructed from anatomical MRI and MR angiography. The remaining network, including ensembles representing the parenchymal capillary bed, were synthesized following a mechanistic principle based on hydrodynamic efficiency of the cortical blood supply. We evaluated the digital model by comparing its simulated values with in vivo healthy human brain measurements of macrovessel blood velocity from phase contrast MRI and capillary bed transit times and bolus arrival times from dynamic susceptibility contrast. We find that measured and simulated values reasonably agree and that relevant neuroimaging observables can be recapitulated in silico. This work provides a basis for describing and testing quantitative aspects of the cerebrovascular circulation that are not directly observable. Future applications of such digital brains include the investigation of the organ-wide effects of simulated vascular and metabolic pathologies.

Indexed as

BrainCerebrovascular CirculationHemodynamicsMagnetic Resonance ImagingAdultAlgorithmsBlood Flow VelocityComputer SimulationHumansMagnetic Resonance AngiographyMalecortexdigital brainHemodynamicsneuroimagingvasculature

Identifiers

PMID37988131
PMCPMC11197140
OpenAlexW4388860622

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.