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Related Concept Videos

Brain Imaging01:14

Brain Imaging

448
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
448

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Related Experiment Video

Updated: Nov 5, 2025

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Functional MRI Shows Altered Deactivation and a Corresponding Decrease in Functional Connectivity of the Default Mode

Y M Maniar1, K K Peck2,3, M Jenabi1

  • 1From the Department of Radiology (Y.M.M., K.K.P., M.J., M.G., A.I.H.), Memorial Sloan Kettering Cancer Center, New York, New York.

AJNR. American Journal of Neuroradiology
|May 14, 2021
PubMed
Summary
This summary is machine-generated.

Brain tumor patients with gliomas show impaired default mode network deactivation during tasks. This default mode network dysfunction was observed using functional MRI, highlighting differences compared to healthy controls.

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Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Oncology

Background:

  • The default mode network (DMN) typically decreases activity during external tasks.
  • DMN connectivity disruptions are common in brain pathologies.
  • DMN deactivation has not been previously studied in brain tumor patients.

Purpose of the Study:

  • Investigate DMN deactivation in glioma patients using language task-based fMRI.
  • Measure posterior cingulate cortex (PCC) anticorrelation as a key DMN node.
  • Examine DMN functional connectivity in patients using task-based and resting-state fMRI.

Main Methods:

  • Used task-based fMRI to identify PCC in 10 controls and 30 glioma patients.
  • Created connectivity maps from task-based and resting-state fMRI data using PCC as a region of interest (ROI).
  • Compared DMN region correlations between patients and controls, stratified by tumor characteristics.

Main Results:

  • Glioma patients exhibited significantly less PCC anticorrelation during tasks compared to controls (P = .001).
  • Tumor proximity to the DMN, tumor location (left/right hemisphere), and higher tumor grade (IV) correlated with reduced PCC anticorrelation.
  • Task-based and resting-state fMRI showed no significant differences in DMN functional connectivity.

Conclusions:

  • Task-based fMRI reveals impaired DMN deactivation in patients with gliomas.
  • DMN functional connectivity demonstrates strong overlap between task-based and resting-state fMRI in glioma patients.
  • PCC-seeded analysis effectively characterizes DMN alterations in brain tumor patients.