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Related Concept Videos

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).
Neurons as Communicators of the Brain01:22

Neurons as Communicators of the Brain

Neurons, the fundamental units of the brain and nervous system, function as the primary transmitters of information throughout the body. Their ability to communicate through electrical and chemical signals is vital for every bodily function, from regulating the heartbeat to processing complex thoughts. Each neuron has three main components: the cell body (soma), dendrites, and an axon, each specialized to facilitate swift and efficient neural communication.
Cell Body
The cell body, also known...

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Related Experiment Video

Updated: Jun 10, 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

NeuroLens: A Holistic Visual Analytics System for Exploring Brain Networks across Scales.

Weihan Zhang, Jun Tao

    IEEE Transactions on Visualization and Computer Graphics
    |June 8, 2026
    PubMed
    Summary

    NeuroLens integrates multi-level brain network data for biomarker discovery in neurological disorders. This visual analytics system enhances biomarker identification by analyzing fiber bundles, regions, and whole brain networks comprehensively.

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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

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    Last Updated: Jun 10, 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
    • Medical Informatics

    Background:

    • Identifying biomarkers in human brain networks is crucial for early neurological disorder detection.
    • Current visual analytics methods often analyze diffusion features of individual fiber bundles and regions separately, limiting comprehensive network investigation.
    • This fragmented approach may hinder accurate representation of complex brain networks from multiple perspectives.

    Purpose of the Study:

    • To present NeuroLens, a visual analytics system for integrated exploration of multi-level human brain network information.
    • To enhance the precise modeling of fiber bundles by incorporating joint geometric features.
    • To enable multi-faceted comparisons between subjects and groups at region and brain levels.

    Main Methods:

    • NeuroLens integrates comprehensive information across fiber bundles, local regions, and entire brain networks.
    • Enhanced fiber bundle features incorporate joint geometric distributions for precise modeling.
    • Attention-based graph neural networks aggregate bundle information for region-level and brain-level representations.
    • A large language model is leveraged for literature-based verification of findings during exploration.

    Main Results:

    • NeuroLens provides a multi-level and multi-faceted interface for comparative exploration of brain network data.
    • The system enables detailed analysis of complex structures involving multiple bundles at the region level.
    • Brain-level representations facilitate effective comparisons across subjects and groups.

    Conclusions:

    • NeuroLens offers an effective visual analytics approach for comprehensive brain network investigation and biomarker discovery.
    • The integration of multi-level information and advanced machine learning models enhances the understanding of neurological disorders.
    • Collaboration with domain experts validated the system's effectiveness in exploring and verifying findings.