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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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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...
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Functional Brain Systems: Reticular Formation01:13

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The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
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Related Experiment Video

Updated: Mar 8, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity.

Sugeerth Murugesan, Kristofer Bouchard, Jesse A Brown

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |January 24, 2017
    PubMed
    Summary
    This summary is machine-generated.

    Brain Modulyzer offers interactive visualization for functional magnetic resonance imaging (fMRI) brain scans, enhancing the analysis of brain connectivity and network organization for neuroscientists.

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    Area of Science:

    • Neuroscience
    • Computer Science
    • Data Visualization

    Background:

    • Functional magnetic resonance imaging (fMRI) generates complex datasets requiring advanced analysis tools.
    • Understanding brain connectivity is crucial for neuroscience research.

    Purpose of the Study:

    • To introduce Brain Modulyzer, an interactive visual exploration tool for fMRI data.
    • To facilitate the analysis of correlations between brain regions during rest and task performance.
    • To aid in comprehending the modular and hierarchical organization of functional brain networks.

    Main Methods:

    • Utilizes multiple coordinated views (heat maps, node-link diagrams, anatomical views) with brushing and linking.
    • Integrates graph theory methods, including community detection and graph measures.
    • Provides instantaneous feedback for parameter adjustments.

    Main Results:

    • Enables exploration of anatomical context for brain connectivity data.
    • Facilitates understanding of modular and hierarchical network structures.
    • Demonstrates utility through case studies on progressive supranuclear palsy and memory processes.

    Conclusions:

    • Brain Modulyzer empowers neuroscientists to analyze complex brain structures more effectively.
    • The tool supports hypothesis formation for further statistical validation.
    • Interactive visualization enhances comprehension of functional brain networks.