Evidence map›Paper›PMID 38489769›Full record

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

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Sandeepa Sur, Zixuan Lin, Yang Li, Sevil Yasar, Paul B Rosenberg, Abhay Moghekar, Xirui Hou, Dengrong Jiang, Rita R Kalyani, Kaisha Hazel and 6 more

Open access · greenAbstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. The dependence of COImaging neuroscience (Cambridge, Mass.) · 2025
    Article
  5. Article
  6. Review
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

16 authors at 4 institutions in 1 country.

Sandeepa SurDepartment of Radiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Zixuan LinDepartment of Radiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Yang LiDepartment of Radiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Sevil YasarDepartment of Medicine, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Paul B RosenbergDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Abhay MoghekarDepartment of Neurology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Xirui HouDepartment of Radiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Dengrong JiangDepartment of Radiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-3843-1020
Rita R KalyaniDepartment of Medicine, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Kaisha HazelDepartment of Radiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
George PottanatDepartment of Radiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Cuimei XuDepartment of Radiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Jay J PillaiDepartment of Radiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Peiying LiuDepartment of Radiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Marilyn AlbertDepartment of Neurology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
Hanzhang LuDepartment of Radiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.ORCID 0000-0003-3871-1564
Johns Hopkins University · USKennedy Krieger Institute · USMayo Clinic · USUniversity of Maryland, Baltimore · US

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, Peter CM Van Zijl · 2021 to 2026
$9.9M
Validation of small vessel vascular contributions to cognitive impairment and dementia (VCID) biomarkersU01NS100588 · NINDS · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S., LU, HANZHANG · 2023 to 2025
$4.1M
An integrated vascular MR imaging suite in brain diseasesR01NS106702 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.7M
Non-contrast MR imaging of blood-brain-barrier permeability in Alzheimer's diseaseR01AG064792 · NIA · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2020 to 2023
$2.6M
Blood-brain barrier dysfunction in Alzheimer's disease: from humans to animal modelsRF1AG071515 · NIA · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2021 to 2021
$2.4M
Physiological imaging markers in vascular contributions to cognitive impairment and dementia (VCID)R01AG085299 · NIA · JOHNS HOPKINS UNIVERSITY · PI Hanzhang Lu · 2024 to 2026
$2.3M
MR fingerprinting (MRF) perfusion imaging in cerebral vascular diseaseR01NS106711 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.2M
State of the Art 3T Research ScannerS10OD021648 · OD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2016 to 2016
$2.0M
Blood-brain barrier dysfunction in Alzheimer's disease: from humans to animal modelsR01AG071515 · NIA · JOHNS HOPKINS UNIVERSITY · PI Hanzhang Lu · 2024 to 2026
$1.6M
NIA NIH HHS P30 AG066507NIA NIH HHS R01 AG064792NIA NIH HHS R01 AG071515NIA NIH HHS R01 AG085299NIA NIH HHS RF1 AG071515NIBIB NIH HHS P41 EB031771NIH HHS S10 OD021648NINDS NIH HHS R01 NS106702NINDS NIH HHS R01 NS106711NINDS NIH HHS U01 NS100588
6 · The paper itself

Abstract

Vascular pathology is the second leading cause of cognitive impairment and represents a major contributing factor in mixed dementia. However, biomarkers for vascular cognitive impairment and dementia (VCID) are under-developed. Here we aimed to investigate the potential role of CO2 Cerebrovascular Reactivity (CVR) measured with phase-contrast quantitative flow MRI in cognitive impairment and dementia. Forty-five (69 ± 7 years) impaired (37 mild-cognitive-impairment and 8 mild-dementia by syndromic diagnosis) and 22 cognitively-healthy-control (HC) participants were recruited and scanned on a 3 T MRI. Biomarkers of AD pathology were measured in cerebrospinal fluid. We found that CBF-CVR was lower (p = 0.027) in the impaired (mean±SE, 3.70 ± 0.15%/mmHg) relative to HC (4.28 ± 0.21%/mmHg). After adjusting for AD pathological markers (Aβ42/40, total tau, and Aβ42/p-tau181), higher CBF-CVR was associated with better cognitive performance, including Montreal Cognitive Assessment, MoCA (p = 0.001), composite cognitive score (p = 0.047), and language (p = 0.004). Higher CBF-CVR was also associated with better physical function, including gait-speed (p = 0.006) and time for five chair-stands (p = 0.049). CBF-CVR was additionally related to the Clinical-Dementia-Rating, CDR, including global CDR (p = 0.026) and CDR Sum-of-Boxes (p = 0.015). CBF-CVR was inversely associated with hemoglobin A1C level (p = 0.017). In summary, CBF-CVR measured with phase-contrast MRI shows associations with cognitive performance, physical function, and disease-severity, independent of AD pathological markers.

Indexed as

Carbon DioxideCerebrovascular CirculationCognitionCognitive DysfunctionMagnetic Resonance Imagingtau ProteinsAgedAmyloid beta-PeptidesBiomarkersFemaleHumansMaleMiddle AgedAmyloid beta-PeptidesBiomarkersCarbon Dioxidetau ProteinsAlzheimer’s diseasecarbon dioxideCerebrovascular reactivityvascular cognitive impairment and dementiavasodilation

Identifiers

PMID38489769
PMCPMC11532674
OpenAlexW4392862823

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.