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Related Concept Videos

Brain Imaging01:14

Brain Imaging

384
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...
384

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WeBrain: A web-based brainformatics platform of computational ecosystem for EEG big data analysis.

Li Dong1, Jianfu Li1, Qiunan Zou2

  • 1The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu 2019RU035, China; Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu 611731, China.

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|November 19, 2021
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Summary
This summary is machine-generated.

WeBrain is a new cloud platform for analyzing large electroencephalography (EEG) datasets. It offers accessible tools for researchers, simplifying complex brain data exploration and analysis.

Keywords:
BrainformaticsComputational ecosystemDistributed cloud computingEEG big dataWeBrain

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Bioinformatics

Background:

  • Cloud neuroscience is growing, increasing the need for efficient large-scale electroencephalography (EEG) data analysis.
  • Existing cloud platforms inadequately address the computational demands of big EEG data.
  • The EEG community requires accessible and powerful tools for data exploration and analysis.

Purpose of the Study:

  • Introduce the WeBrain cloud platform as a solution to the challenges in large-scale EEG data analysis.
  • Provide a web-based brain informatics platform and computational ecosystem for EEG data.
  • Facilitate EEG data storage, exploration, and analysis using cloud high-performance computing (HPC).

Main Methods:

  • Developed a web-based platform accessible via modern web browsers, requiring no software installation.
  • Integrated EEG and multimodal tools with cloud HPC facilities.
  • Designed for ease of use for novice users and maintainability for administrators and developers.

Main Results:

  • WeBrain offers a user-friendly interface for novice users, eliminating the need for programming skills.
  • The platform ensures maintainability, sustainability, and flexibility for IT administrators and tool developers.
  • Provides access to resources like documents, manuals, example datasets, and links to open EEG datasets and tools.

Conclusions:

  • WeBrain is a promising cloud brain informatics platform for large-scale EEG applications.
  • The platform reduces technical barriers, making advanced EEG analysis more accessible to the research community.
  • Facilitates international collaboration through the CCC-Axis project, driving brain information exploration.