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Related Concept Videos

Organization of the Brain01:30

Organization of the Brain

The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
Hindbrain
The hindbrain, located at the base of the brain, plays a vital role in regulating automatic processes that sustain life. It includes the medulla oblongata, which is essential for...
Brain Imaging01:14

Brain Imaging

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 Stimulation (TMS).

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Related Experiment Video

Updated: Jun 3, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

BrainNetVis: an open-access tool to effectively quantify and visualize brain networks.

Eleni G Christodoulou1, Vangelis Sakkalis, Vassilis Tsiaras

  • 1Institute of Computer Science, Foundation for Research and Technology-Hellas, FORTH, Heraklion, Greece. echristo@ics.forth.gr

Computational Intelligence and Neuroscience
|April 5, 2011
PubMed
Summary
This summary is machine-generated.

BrainNetVis offers brain network modeling and visualization, providing quantitative and qualitative measures of brain interconnectivity for alcoholic and control groups.

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Last Updated: Jun 3, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
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Area of Science:

  • Neuroscience
  • Computational Biology
  • Data Visualization

Background:

  • Brain network modeling is crucial for understanding brain interconnectivity.
  • Existing tools lack comprehensive quantitative and qualitative network measures.
  • There is a need for integrated tools for brain network analysis.

Purpose of the Study:

  • Introduce BrainNetVis, a novel tool for brain network modeling and visualization.
  • Provide quantitative and qualitative network measures of brain interconnectivity.
  • Demonstrate the tool's utility with an exemplar dataset.

Main Methods:

  • Calculation of graph metrics, including global and vertex metrics, to represent brain network information.
  • Utilizing an exemplar dataset comprising alcoholic and control subjects for method demonstration.
  • Performing calculations and visualizations on the exemplar dataset to illustrate BrainNetVis capabilities.

Main Results:

  • BrainNetVis provides both quantitative and qualitative network measures.
  • The tool effectively visualizes brain network interconnectivity.
  • Demonstrated utility in analyzing differences between alcoholic and control groups.

Conclusions:

  • BrainNetVis is a valuable tool for brain network modeling and visualization.
  • The tool aids in understanding brain interconnectivity through comprehensive network measures.
  • BrainNetVis facilitates the analysis of brain networks in clinical populations.