Evidence map›Paper›PMID 30849484›Full record

ArticleMagnetic resonance imaging2019

Evaluation of cerebrovascular reserve in patients with cerebrovascular diseases using resting-state MRI: A feasibility study.

Kamil Taneja, Hanzhang Lu, Babu G Welch, Binu P Thomas, Marco Pinho, Doris Lin, Argye E Hillis, Peiying Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Kamil TanejaThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Hanzhang LuThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA.
Babu G WelchDepartment of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX 75390, USA; Department of Radiology, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Binu P ThomasAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Marco PinhoDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Doris LinThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Argye E HillisDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Peiying LiuThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA. Electronic address: peiying.liu@jhu.edu.

Funding

Telerehab for Aphasia (TERRA)P50DC014664 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2016 to 2025
$25.0M
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
Neural Basis of Lexical Deficits in Hyperacute StrokeR01DC005375 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI Argye E. Hillis · 2002 to 2026
$11.8M
Normalized functional MRI in human brain disordersR01MH084021 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2008 to 2017
$3.6M
The Neural Basis of Impaired Affective Prosody in Alzheimer's Disease and Frontotemporal DegenerationR01DC015466 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI HILLIS, ARGYE E. · 2017 to 2021
$3.5M
An integrated vascular MR imaging suite in brain diseasesR01NS106702 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.7M
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
Development of techniques to map cerebrovascular reactivity with resting-state MRIR21NS100006 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LIU, PEIYING · 2017 to 2018
$450k
NIA NIH HHS R01 AG047972NIBIB NIH HHS P41 EB015909NIDCD NIH HHS P50 DC014664NIDCD NIH HHS R01 DC005375NIDCD NIH HHS R01 DC015466NIH HHS S10 OD021648NIMH NIH HHS R01 MH084021NINDS NIH HHS R01 NS106702NINDS NIH HHS R01 NS106711NINDS NIH HHS R21 NS095342NINDS NIH HHS R21 NS100006
6 · The paper itself

Abstract

purposeTo demonstrate the feasibility of mapping cerebrovascular reactivity (CVR) using resting-state functional MRI (fMRI) data without gas or other challenges in patients with cerebrovascular diseases and to show that brain regions affected by the diseases have diminished vascular reactivity. MATERIALS AND

methodsTwo sub-studies were performed on patients with stroke and Moyamoya disease. In Study 1, 20 stroke patients (56.3 ± 9.7 years, 7 females) were enrolled and resting-state blood‑oxygenation-level-dependent (rs-BOLD) fMRI data were collected, from which CVR maps were computed. CVR values were compared across lesion, perilesional and control ROIs defined on anatomic images. Reproducibility of the CVR measurement was tested in 6 patients with follow-up scans. In Study 2, rs-BOLD fMRI and dynamic susceptibility contrast (DSC) MRI scans were collected in 5 patients with Moyamoya disease (32.4 ± 8.2 years, 4 females). Cerebral blood flow (CBF), cerebral blood volume (CBV), and time-to-peak (TTP) maps were obtained from the DSC MRI data. CVR values were compared between stenotic brain regions and control regions perfused by non-stenotic arteries.

resultsIn stroke patients, lesion CVR (0.250 ± 0.055 relative unit (r.u.)) was lower than control CVR (0.731 ± 0.088 r.u., p = 0.0002). CVR was also lower in the perilesional regions in a graded manner (perilesion 1 CVR = 0.422 ± 0.051 r.u., perilesion 2 CVR = 0.492 ± 0.046 r.u.), relative to that in the control regions (p = 0.005 and 0.036, respectively). In the repeatability analysis, a strong correlation was observed between lesion CVR (r

conclusionOur findings suggested that rs-BOLD data can be used to reproducibly evaluate CVR in patients with cerebrovascular diseases without the use of any vasoactive challenges.

Indexed as

Cerebrovascular CirculationMagnetic Resonance ImagingAdultAgedBrainCerebrovascular DisordersFeasibility StudiesFemaleHemodynamicsHumansImage Processing, Computer-AssistedMaleMiddle AgedMoyamoya DiseaseReproducibility of ResultsStrokeBOLDCerebrovascular reactivityMoyamoya diseaseResting-stateStrokeTime-to-peak

Identifiers

PMID30849484
PMCPMC6494444

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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.