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Brain Imaging

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...

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Related Experiment Video

Updated: Apr 19, 2026

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

LinkRbrain: multi-scale data integrator of the brain.

Salma Mesmoudi¹, Mathieu Rodic¹, Claudia Cioli²

¹Sorbonnes University Paris 1, MATRICE Project, ISC-PIF, 113, rue Nationale, 75013 Paris, France.

Journal of Neuroscience Methods

|December 22, 2014

Summary

This summary is machine-generated.

LinkRbrain is an open-access platform integrating human brain data for multi-scale analysis. It enhances understanding of brain function by visualizing anatomical, functional, and genetic information.

Keywords:

Anatomo-functional Complex systems Genetics Integrative Multi-scale Open databases Platform

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Last Updated: Apr 19, 2026

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

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Published on: May 12, 2019

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

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Published on: March 8, 2024

Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents

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Area of Science:

Neuroscience
Bioinformatics
Data Visualization

Background:

LinkRbrain is an open-access web platform for multi-scale data integration and visualization of human brain data.
It integrates anatomical, functional, and genetic knowledge from the scientific community.

Purpose of the Study:

To provide a unified framework for integrating and visualizing diverse human brain data.
To facilitate the comparison of new experimental results with existing published works.

Main Methods:

The platform comprises a data aggregation component for integrating multiple open databases into a unified representation.
A website component offers rapid multi-scale data integration and visualization.

Main Results:

Users can visualize functional networks and genetic expression on a standard brain template (MNI152).
Relational graphs display interrelationships based on topographical overlap.
New experimental results can be compared with previous published works.

Conclusions:

LinkRbrain is an efficient, open-access tool for an integrative understanding of human brain function.