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

The current evolution of ‘cloud neuroscience’ leads to more efforts with the large-scale EEG applications, by using EEG pipelines to handle the rapidly accumulating EEG data. However, there are a few specific cloud platforms that seek to address the cloud computational challenges of EEG big data ana...

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Vydané v:NeuroImage (Orlando, Fla.) Ročník 245; s. 118713
Hlavní autori: Dong, Li, Li, Jianfu, Zou, Qiunan, Zhang, Yufan, Zhao, Lingling, Wen, Xin, Gong, Jinnan, Li, Fali, Liu, Tiejun, Evans, Alan C., Valdes-Sosa, Pedro A., Yao, Dezhong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Elsevier Inc 15.12.2021
Elsevier Limited
Elsevier
Predmet:
Automation
Big Data
Brain research
Brainformatics
Cloud Computing
Computational Biology
Computational ecosystem
Computational neuroscience
Computer programming
Cooperation
Data analysis
Data storage
Datasets
Distributed cloud computing
Distributed processing
EEG
EEG big data
Electroencephalography
Humans
Magnetic resonance imaging
Medical imaging
Nervous system
Neurosciences
Personal computers
Skills
Software
Systems Integration
WeBrain
Brainformatics
Distributed cloud computing
EEG big data
Computational ecosystem
WeBrain
ISSN:1053-8119, 1095-9572, 1095-9572
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Popis
Shrnutí:The current evolution of ‘cloud neuroscience’ leads to more efforts with the large-scale EEG applications, by using EEG pipelines to handle the rapidly accumulating EEG data. However, there are a few specific cloud platforms that seek to address the cloud computational challenges of EEG big data analysis to benefit the EEG community. In response to the challenges, a WeBrain cloud platform (https://webrain.uestc.edu.cn/) is designed as a web-based brainformatics platform and computational ecosystem to enable large-scale EEG data storage, exploration and analysis using cloud high-performance computing (HPC) facilities. WeBrain connects researchers from different fields to EEG and multimodal tools that have become the norm in the field and the cloud processing power required to handle those large EEG datasets. This platform provides an easy-to-use system for novice users (even no computer programming skills) and provides satisfactory maintainability, sustainability and flexibility for IT administrators and tool developers. A range of resources are also available on https://webrain.uestc.edu.cn/, including documents, manuals, example datasets related to WeBrain, and collected links to open EEG datasets and tools. It is not necessary for users or administrators to install any software or system, and all that is needed is a modern web browser, which reduces the technical expertise required to use or manage WeBrain. The WeBrain platform is sponsored and driven by the China-Canada-Cuba international brain cooperation project (CCC-Axis, http://ccc-axis.org/), and we hope that WeBrain will be a promising cloud brainformatics platform for exploring brain information in large-scale EEG applications in the EEG community.
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ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2021.118713