Evidence map›Paper›PMID 40092424›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Cerebral artery and brain pathology correlates of antemortem cerebral artery 4D flow MRI.

Brooke E Schroeder, Leonardo A Rivera-Rivera, Madeleine R Barger, Elena Ruiz de Chavez, Monica Ospina-Romero, Rebecca E Langhough, Jordan P Teague, Finnuella J Carey, Sanjay Asthana, Sterling C Johnson and 5 more

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Brooke E SchroederWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Leonardo A Rivera-RiveraWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Madeleine R BargerWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Elena Ruiz de ChavezWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Monica Ospina-RomeroDepartment of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Rebecca E LanghoughWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Jordan P TeagueWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Finnuella J CareyWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Sanjay AsthanaWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Sterling C JohnsonWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Kevin M JohnsonWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Laura EisenmengerWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Oliver WiebenDepartment of Medical Physics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
M Shahriar SalamatWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Tobey J BetthauserWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Funding

Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI AMY J. KIND · 2019 to 2026
$34.5M
Non-Invasive Imaging Markers to Elicit the Role of Vascular Involvement in Alzheimer’s DiseaseR01AG075788 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Kevin Michael Johnson · 2022 to 2026
$3.2M
Multi-cohort study of factors that influence Alzheimer's disease biomarker and dementia timingR01AG080766 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI TOBEY JAMES BETTHAUSER · 2023 to 2026
$3.1M
Non-Invasive MRI Markers to Elicit the Role of Vascular Disease in CADASIL Compared to Normal AgingR01AG082208 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Laura Burns Eisenmenger · 2024 to 2026
$2.2M
Characterizing the Effect of Altered CSF and Blood Flow Dynamics on Alzheimer’s Disease Proteinopathy, Brain Health, and CognitionR21AG077337 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RIVERA RIVERA, LEONARDO A · 2022 to 2022
$428k
NIA NIH HHS P30 AG062715NIA NIH HHS R01 AG075788NIA NIH HHS R01 AG080766NIA NIH HHS R01 AG082208NIA NIH HHS R21 AG077337
6 · The paper itself

Abstract

Large-scale clinical research studies often incorporate neuroimaging biomarkers to understand underlying pathologic changes that occur in aging and neurodegenerative disease and are associated with cognitive decline and clinical impairment. Of particular interest are neuroimaging methods designed to understand various aspects of cerebrovascular disease that can lead to dementia and also co-occur with neurodegenerative diseases such as Alzheimer's disease. Neurovascular 4D flow magnetic resonance imaging is one such method that measures hemodynamic characteristics of medium-large cerebral vessels, but it remains unclear how measures derived from 4D flow imaging including pulsatility index, cerebral blood flow, and cross-sectional area relate to underlying pathologic changes in cerebral arteries and downstream cerebrovascular pathology. For example, pulsatility index is thought to be a marker of vessel compliance, which may be due to fibrotic and/or atherosclerotic changes. This observational study investigates imaging-pathologic correlates of cerebral artery 4D flow MRI in 20 initial brain donors (mean (SD) age at death 78.2 (10.3) years; 3.2 (1.4) years from MRI to autopsy) from the Wisconsin Alzheimer's Disease Research Center that underwent antemortem imaging and postmortem assessment of cerebral artery and brain pathology to identify possible pathologic correlates of 4D flow MRI. Our results suggest that 4D flow MRI measures recapitulate expected hemodynamic and structural relationships across cerebral arteries, but also that measures like MRI cross-sectional area may reflect arterial fibrosis whereas mean blood flow may indicate downstream cerebrovascular disease including white matter rarefaction and arteriolosclerosis. In contrast, associations were minimal with pulsatility index and cerebral artery or brain pathology across participants but were moderate across arterial segments. To our knowledge, this is the first study to investigate pathologic correlates of antemortem 4D flow MRI in cerebral arteries. These results provide preliminary insights regarding the pathologic processes contributing to cerebral artery hemodynamics measured with 4D flow MRI that will help inform interpretation of large-scale clinical aging and dementia studies utilizing this method. Future work with larger samples is needed to confirm these findings.

Indexed as

4D Flow MRIcerebrovascular diseasehemodynamicsmagnetic resonance imaging (MRI)neuropathologyPCVIPR

Identifiers

PMID40092424
PMCPMC11908694

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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.