A review of EEG and MEG for brainnetome research

Zhang, Xin, Lei, Xu, Wu, Ting and Jiang, Tianzi (2014) A review of EEG and MEG for brainnetome research. Cognitive Neurodynamics, 8 2: 87-98. doi:10.1007/s11571-013-9274-9

Author Zhang, Xin
Lei, Xu
Wu, Ting
Jiang, Tianzi
Title A review of EEG and MEG for brainnetome research
Journal name Cognitive Neurodynamics   Check publisher's open access policy
ISSN 1871-4080
Publication date 2014-04-01
Year available 2013
Sub-type Article (original research)
DOI 10.1007/s11571-013-9274-9
Open Access Status Not yet assessed
Volume 8
Issue 2
Start page 87
End page 98
Total pages 12
Place of publication Dordrecht, Netherlands
Publisher Springer Netherlands
Language eng
Formatted abstract
The majority of brain activities are performed by functionally integrating separate regions of the brain. Therefore, the synchronous operation of the brain’s multiple regions or neuronal assemblies can be represented as a network with nodes that are interconnected by links. Because of the complexity of brain interactions and their varying effects at different levels of complexity, one of the corresponding authors of this paper recently proposed the brainnetome as a new –ome to explore and integrate the brain network at different scales. Because electroencephalography (EEG) and magnetoencephalography (MEG) are noninvasive and have outstanding temporal resolution and because they are the primary clinical techniques used to capture the dynamics of neuronal connections, they lend themselves to the analysis of the neural networks comprising the brainnetome. Because of EEG/MEG’s applicability to brainnetome analyses, the aim of this review is to identify the procedures that can be used to form a network using EEG/MEG data in sensor or source space and to promote EEG/MEG network analysis for either neuroscience or clinical applications. To accomplish this aim, we show the relationship of the brainnetome to brain networks at the macroscale and provide a systematic review of network construction using EEG and MEG. Some potential applications of the EEG/MEG brainnetome are to use newly developed methods to associate the properties of a brainnetome with indices of cognition or disease conditions. Associations based on EEG/MEG brainnetome analysis may improve the comprehension of the functioning of the brain in neuroscience research or the recognition of abnormal patterns in neurological disease.
Keyword EEG
Brain network
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online 22 November 2013

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2014 Collection
Centre for Advanced Imaging Publications
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 6 times in Scopus Article | Citations
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Created: Tue, 18 Mar 2014, 22:21:31 EST by Debra McMurtrie on behalf of Queensland Brain Institute