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Related Experiment Video

Updated: Aug 7, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
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Brain network mapping and glioma pathophysiology.

Ayan S Mandal1,2, Steven Brem1,3,4, John Suckling2

  • 1Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

Brain Communications
|March 10, 2023
PubMed
Summary
This summary is machine-generated.

Adult diffuse gliomas spread along the brain's intrinsic networks. Understanding these brain networks is key to developing new treatments for glioma (brain tumor) migration and anatomical origins.

Keywords:
brain mappingconnectivitygliomanetwork neuroscienceneuro-oncology

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Area of Science:

  • Neuroscience
  • Oncology
  • Medical Imaging

Background:

  • Adult diffuse gliomas are challenging brain tumors due to unclear origins and migration mechanisms.
  • Studying glioma spread networks is crucial for developing effective treatments.
  • Recent advancements enable human-based investigations into brain tumor networks.

Purpose of the Study:

  • To provide a primer for merging brain network mapping and glioma biology for translational research.
  • To review historical and recent developments in both fields.
  • To highlight the clinical applications of network neuroscience in neuro-oncology.

Main Methods:

  • Comprehensive review of brain network mapping and glioma biology literature.
  • Tracing the historical development of concepts in both fields.
  • Analyzing studies merging neuro-oncology and network neuroscience.

Main Results:

  • Glioma spatial distribution patterns align with intrinsic functional and structural brain networks.
  • Recent research demonstrates the link between brain networks and glioma spread.
  • The study highlights the potential of network neuroscience in understanding glioma.

Conclusions:

  • Merging brain network mapping and glioma biology offers significant translational research potential.
  • Network neuroimaging can provide insights into glioma origins and migration.
  • Further contributions from network neuroimaging are needed to advance cancer neuroscience.