Evidence map›Paper›PMID 32567195›Full record

ArticleJournal of magnetic resonance imaging : JMRI2020

Brain Oxygen Extraction Is Differentially Altered by Alzheimer's and Vascular Diseases.

Dengrong Jiang, Zixuan Lin, Peiying Liu, Sandeepa Sur, Cuimei Xu, Kaisha Hazel, George Pottanat, Jacqueline Darrow, Jay J Pillai, Sevil Yasar and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 57 citations in OpenAlex.

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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

14 authors at 2 institutions in 1 country.

Dengrong JiangThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-3843-1020
Zixuan LinThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Peiying LiuThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-0830-5960
Sandeepa SurThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Cuimei XuThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Kaisha HazelThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
George PottanatThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jacqueline DarrowDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jay J PillaiThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sevil YasarDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Paul RosenbergDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Abhay MoghekarDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Marilyn AlbertDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Hanzhang LuThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-3871-1564
Johns Hopkins University · USKennedy Krieger Institute · US

Funding

TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
Normalized functional MRI in human brain disordersR01MH084021 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2008 to 2017
$3.6M
An integrated vascular MR imaging suite in brain diseasesR01NS106702 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.7M
Development of MRI microvascular biomarkers in cognitive impairment and dementiaUH2NS100588 · NINDS · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S., LU, HANZHANG · 2016 to 2018
$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
BOLD and its discontents: age-differences in the neurophysiology of fMRI signalR01AG047972 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG, RYPMA, BART · 2015 to 2019
$1.7M
Advanced MRI methods to image vascular physiology with respiratory manipulationsR21NS095342 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2016 to 2017
$476k
Quantification of brain metabolic rate in neonates using MRIR21NS085634 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI LIU, PEIYING · 2014 to 2015
$441k
NIA NIH HHS R01 AG047972NIBIB NIH HHS P41 EB015909NIH HHS P41EB015909NIH HHS R01AG047972NIH HHS R01MH084021NIH HHS R01NS106702NIH HHS R01NS106711NIH HHS R21NS085634NIH HHS R21NS095342NIH HHS S10 OD021648NIH HHS S10OD021648NIH HHS UH2NS100588NIMH NIH HHS R01 MH084021NINDS NIH HHS R01 NS106702NINDS NIH HHS R01 NS106711NINDS NIH HHS R21 NS085634NINDS NIH HHS R21 NS095342NINDS NIH HHS UH2 NS100588
6 · The paper itself

Abstract

backgroundAlzheimer's disease and vascular cognitive impairment (VCI), as well as their concurrence, represent the most common types of cognitive dysfunction. Treatment strategies for these two conditions are quite different; however, there exists a considerable overlap in their clinical manifestations, and most biomarkers reveal similar abnormalities between these two conditions. PURPOSE: To evaluate the potential of cerebral oxygen extraction fraction (OEF) as a biomarker for differential diagnosis of Alzheimer's disease and VCI. We hypothesized that in Alzheimer's disease OEF will be reduced (decreased oxygen consumption due to decreased neural activity), while in vascular diseases OEF will be elevated (increased oxygen extraction due to abnormally decreased blood flow). STUDY TYPE: Prospective cross-sectional. POPULATION: Sixty-five subjects aged 52-89 years, including 33 mild cognitive impairment (MCI), 7 dementia, and 25 cognitively normal subjects. FIELD STRENGTH/SEQUENCE: 3T T ASSESSMENT: OEF, consensus diagnoses of cognitive impairment, vascular risk factors (such as hypertension, hypercholesterolemia, diabetes, smoking, and obesity), cognitive assessments, and cerebrospinal fluid concentration of amyloid and tau were assessed. STATISTICAL TESTS: Multiple linear regression analyses of OEF with diagnostic category (normal, MCI, or dementia), vascular risks, cognitive performance, amyloid and tau pathology.

resultsWhen evaluating the entire group, OEF was found to be lower with more severe cognitive impairment (β = -2.70 ± 1.15, T = -2.34, P = 0.02), but was higher with greater vascular risk factors (β = 1.36 ± 0.55, T = 2.48, P = 0.02). Further investigation of the subgroup of participants with low vascular risks (N = 44) revealed that lower OEF was associated with worse cognitive performance (β = 0.04 ± 0.01, T = 3.27, P = 0.002) and greater amyloid burden (β = 92.12 ± 41.23, T = 2.23, P = 0.03). Among cognitively impaired individuals (N = 40), higher OEF was associated with greater vascular risk factors (β = 2.19 ± 0.71, T = 3.08, P = 0.004). DATA

conclusionThese findings suggest that OEF is differentially affected by Alzheimer's disease and VCI pathology and may be useful in etiology-based diagnosis of cognitive impairment. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY: Stage 3 J. MAGN. RESON. IMAGING 2020;52:1829-1837.

Indexed as

Alzheimer DiseaseCognitive DysfunctionVascular DiseasesAgedAged, 80 and overBiomarkersBrainCross-Sectional StudiesHumansMiddle AgedOxygenProspective StudiesBiomarkersOxygenAlzheimer's diseaseCSF amyloidoxygen extraction fractionvascular cognitive impairmentvascular risk factors

Identifiers

PMID32567195
PMCPMC9973301
OpenAlexW3036283744

What OpenQuestion holds

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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.