题名 | Large-scale analysis of neural activity and connectivity from high-density electroencephalographic data |
作者 | |
通讯作者 | Mantini,Dante |
发表日期 | 2024-08-01
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DOI | |
发表期刊 | |
ISSN | 0010-4825
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EISSN | 1879-0534
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卷号 | 178 |
摘要 | Introduction: High-density electroencephalography (hdEEG) is a technique used for the characterization of the neural activity and connectivity in the human brain. The analysis of EEG data involves several steps, including signal pre-processing, head modelling, source localization and activity/connectivity quantification. Visual check of the analysis steps is often necessary, making the process time- and resource-consuming and, therefore, not feasible for large datasets. Findings: Here we present the Noninvasive Electrophysiology Toolbox (NET), an open-source software for large-scale analysis of hdEEG data, running on the cross-platform MATLAB environment. NET combines all the tools required for a complete hdEEG analysis workflow, from raw signals to final measured values. By relying on reconstructed neural signals in the brain, NET can perform traditional analyses of time-locked neural responses, as well as more advanced functional connectivity and brain mapping analyses. The extracted quantitative neural data can be exported to provide broad compatibility with other software. Conclusions: NET is freely available (https://github.com/bind-group-kul/net) under the GNU public license for non-commercial use and open-source development, together with a graphical user interface (GUI) and a user tutorial. While NET can be used interactively with the GUI, it is primarily aimed at unsupervised automation to process large hdEEG datasets efficiently. Its implementation creates indeed a highly customizable program suitable for analysis automation and tight integration into existing workflows. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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EI入藏号 | 20242316219394
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EI主题词 | Brain
; Brain mapping
; Electrophysiology
; Graphical user interfaces
; Large datasets
; MATLAB
; Neurons
; Open source software
; Open systems
; Statistics
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EI分类号 | Biomedical Engineering:461.1
; Medicine and Pharmacology:461.6
; Biology:461.9
; Computer Peripheral Equipment:722.2
; Computer Software, Data Handling and Applications:723
; Data Processing and Image Processing:723.2
; Computer Applications:723.5
; Imaging Techniques:746
; Mathematics:921
; Mathematical Statistics:922.2
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ESI学科分类 | COMPUTER SCIENCE
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Scopus记录号 | 2-s2.0-85195210152
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来源库 | Scopus
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引用统计 | |
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/778630 |
专题 | 工学院_生物医学工程系 |
作者单位 | 1.Movement Control and Neuroplasticity Research Group,KU Leuven,Leuven,3001,Belgium 2.Gansu Provincial Key Laboratory of Wearable Computing,School of Information Science and Engineering,Lanzhou University,Lanzhou,730000,China 3.Department of General Psychology,University of Padova,Padova,35131,Italy 4.Dirección Académica,Universidad Nacional de Colombia,La Paz,Sede de La Paz,202017,Colombia 5.Roche Pharma Research and Early Development (pRED),pRED Data & Analytics,Roche Innovation Center Basel,F. Hoffmann–La Roche Ltd,Basel,4070,Switzerland 6.Department of Biomedical Engineering,Southern University of Science and Technology,Shenzhen,518055,China 7.KU Leuven Brain Institute,KU Leuven,Leuven,3000,Belgium |
推荐引用方式 GB/T 7714 |
Taberna,Gaia Amaranta,Samogin,Jessica,Zhao,Mingqi,et al. Large-scale analysis of neural activity and connectivity from high-density electroencephalographic data[J]. Computers in Biology and Medicine,2024,178.
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APA |
Taberna,Gaia Amaranta.,Samogin,Jessica.,Zhao,Mingqi.,Marino,Marco.,Guarnieri,Roberto.,...&Mantini,Dante.(2024).Large-scale analysis of neural activity and connectivity from high-density electroencephalographic data.Computers in Biology and Medicine,178.
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MLA |
Taberna,Gaia Amaranta,et al."Large-scale analysis of neural activity and connectivity from high-density electroencephalographic data".Computers in Biology and Medicine 178(2024).
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