Evidence map›Paper›PMID 29876248›Full record

ArticleNeuroImage. Clinical2018

Brain tumors disrupt the resting-state connectome.

Darian H Hadjiabadi, Leland Pung, Jiangyang Zhang, B D Ward, Woo-Taek Lim, Meghana Kalavar, Nitish V Thakor, Bharat B Biswal, Arvind P Pathak

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.0field-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

33 citing papers in PubMed, 48 citations in OpenAlex.

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  12. Understanding treatment preferences and cognitive outcomes in patients with gliomas.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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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 3 institutions in 1 country.

Darian H HadjiabadiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Leland PungDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Jiangyang ZhangRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
B D WardDepartment of Biophysics, The Medical College of Wisconsin, Milwaukee, WI, USA.
Woo-Taek LimDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Meghana KalavarRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Nitish V ThakorDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Bharat B BiswalDepartment of Biomedical Engineering, The New Jersey Institute of Technology, Newark NJ, USA.
Arvind P PathakDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: pathak@mri.jhu.edu.
Johns Hopkins University · USMedical College of Wisconsin · USNew Jersey Institute of Technology · US

Funding

Multiscale Image-based Modeling of Antiangiogenic Resistance in Breast CancerR01CA196701 · NCI · JOHNS HOPKINS UNIVERSITY · PI Arvind P Pathak · 2015 to 2026
$3.6M
A Wireless Laser Speckle and Fluorescence Imager for In vivo Brain Tumor ImagingR21CA175784 · NCI · JOHNS HOPKINS UNIVERSITY · PI PATHAK, ARVIND P · 2013 to 2014
$380k
NCI NIH HHS R01 CA196701NCI NIH HHS R21 CA175784
6 · The paper itself

Abstract

Brain tumor patients often experience functional deficits that extend beyond the tumor site. While resting-state functional MRI (rsfMRI) has been used to map such functional connectivity changes in brain tumor patients, the interplay between abnormal tumor vasculature and the rsfMRI signal is still not well understood. Therefore, there is an exigent need for new tools to elucidate how the blood‑oxygenation-level-dependent (BOLD) rsfMRI signal is modulated in brain cancer. In this initial study, we explore the utility of a preclinical model for quantifying brain tumor-induced changes on the rsfMRI signal and resting-state brain connectivity. We demonstrate that brain tumors induce brain-wide alterations of resting-state networks that extend to the contralateral hemisphere, accompanied by global attenuation of the rsfMRI signal. Preliminary histology suggests that some of these alterations in brain connectivity may be attributable to tumor-related remodeling of the neurovasculature. Moreover, this work recapitulates clinical rsfMRI findings from brain tumor patients in terms of the effects of tumor size on the neurovascular microenvironment. Collectively, these results lay the foundation of a preclinical platform for exploring the usefulness of rsfMRI as a potential new biomarker in patients with brain cancer.

Indexed as

ConnectomeMagnetic Resonance ImagingRestAnimalsBrainBrain NeoplasmsCell Line, TumorDisease Models, AnimalGlial Fibrillary Acidic ProteinGreen Fluorescent ProteinsHumansImaging, Three-DimensionalMiceMice, SCIDNeural PathwaysOxygenGlial Fibrillary Acidic ProteinGreen Fluorescent ProteinsOxygenBrain tumorConnectivityfMRINeurovascular uncouplingResting-state

Identifiers

PMID29876248
PMCPMC5987800
OpenAlexW2791051937

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.