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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...
Anatomy of the Brain: Major Regions01:20

Anatomy of the Brain: Major Regions

The brain is the most complex organ in the human body. It consists of four main parts: the cerebrum, diencephalon, cerebellum, and brainstem.
The cerebrum is the largest section of the brain and divides into left and right hemispheres, separated by a deep fissure. The cerebral outer layer of grey matter โ€” the cerebral cortex โ€” comprises elevations called gyri and shallow groves called sulci. The inner portion of white matter includes long nerve fibers known as axons, which connect various areas...
Anatomy of the Brain: Ventricles01:18

Anatomy of the Brain: Ventricles

There are hollow fluid-filled cavities known as ventricles deep inside the human brain. There are two lateral ventricles, one in each cerebral hemisphere, and each has three different projections โ€” the anterior, inferior, and posterior horns visible from the lateral side. A thin membrane called the septum pellucidum separates the two lateral ventricles. The slender third ventricle in the diencephalon is connected to each lateral ventricle via a channel called the interventricular foramen. The...

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Related Experiment Video

Updated: May 9, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
08:32

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

BrainNet Viewer: a network visualization tool for human brain connectomics.

Mingrui Xia1, Jinhui Wang, Yong He

  • 1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.

Plos One
|July 18, 2013
PubMed
Summary
This summary is machine-generated.

BrainNet Viewer is a new MATLAB toolbox for visualizing human brain connectomes using graph theory. This software offers flexible and easy-to-use tools for researchers to explore complex brain network data.

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Modeling the Functional Network for Spatial Navigation in the Human Brain
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Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Related Experiment Videos

Last Updated: May 9, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
08:32

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

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

Area of Science:

  • Neuroscience
  • Computer Science
  • Data Visualization

Background:

  • Human brain topology can be visualized using connectomics and graph theory.
  • Existing methods for analyzing brain networks are complex and lack dedicated visualization toolboxes.
  • Understanding brain network changes is crucial in development, aging, and disease.

Purpose of the Study:

  • To develop a user-friendly toolbox for visualizing human connectomes.
  • To provide researchers with an easy, flexible, and quick method for brain network visualization.

Main Methods:

  • Development of BrainNet Viewer, a MATLAB-based graphical user interface (GUI) toolbox.
  • Utilizes graph theory for visualizing brain networks as ball-and-stick models.
  • Allows loading various connectome data files and adjusting display properties.

Main Results:

  • BrainNet Viewer enables visualization of brain surface, nodes, and edges in multiple views.
  • Users can manipulate figures for detailed information and export them as images or videos.
  • The toolbox provides a comprehensive yet easy-to-use settings panel for customization.

Conclusions:

  • BrainNet Viewer effectively addresses the lack of graph-based network visualization tools.
  • The software facilitates the exploration and understanding of complex human brain networks.
  • BrainNet Viewer is freely available, promoting wider accessibility for neuroscience research.