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Updated: Feb 9, 2026

Rat Model of Blood-brain Barrier Disruption to Allow Targeted Neurovascular Therapeutics
Published on: November 30, 2012
Brain tumors disrupt the resting-state connectome
Darian H Hadjiabadi1, Leland Pung1, Jiangyang Zhang2
1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Brain tumors disrupt brain connectivity and reduce resting-state functional MRI (rsfMRI) signals globally. This preclinical study reveals brain-wide network changes and neurovascular remodeling, supporting rsfMRI as a potential biomarker for brain cancer.
Area of Science:
- Neuroimaging
- Oncology
- Biomarker Development
Background:
- Brain tumors cause functional deficits beyond the tumor site.
- The relationship between tumor vasculature and resting-state functional MRI (rsfMRI) signals is poorly understood.
- There's a need for tools to understand blood-oxygen-level-dependent (BOLD) rsfMRI signal modulation in brain cancer.
Purpose of the Study:
- To explore a preclinical model for quantifying brain tumor-induced changes in rsfMRI signals and resting-state brain connectivity.
- To investigate how brain tumors affect the neurovasculature and brain-wide functional networks.
Main Methods:
- Utilized a preclinical model to assess rsfMRI signal changes and brain connectivity alterations in brain tumors.
- Correlated rsfMRI findings with preliminary histology to examine neurovascular remodeling.
- Compared preclinical findings with clinical rsfMRI data from brain tumor patients.
Main Results:
- Brain tumors induce widespread alterations in resting-state networks, affecting the contralateral hemisphere.
- A global attenuation of the rsfMRI signal was observed in the presence of brain tumors.
- Tumor size impacts the neurovascular microenvironment, consistent with clinical observations.
Conclusions:
- A preclinical platform was established for studying rsfMRI in brain cancer.
- Brain tumors cause significant, brain-wide changes in functional connectivity and rsfMRI signal.
- rsfMRI shows potential as a novel biomarker for assessing brain tumor impact and progression.
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