Source connectivity analysis with MEG and EEG. Hum. Brain Mapp. 30, 1857-1865. doi:10.1002/hbm.20745Schoffelen J-M, Gross J (2009): Source connectivity analysis with MEG and EEG. Hum Brain Mapp 30:1857-1865.Sch
Finally, we demonstrate the advantage of edge bundling in the visualization of large-scale cortical networks with real MEG data. We propose that hypergraphs yielded by bundling represent well the set of true cortical interactions that are detectable and dissociable in MEG/EEG connectivity analysis.doi...
Source connectivity analysis with MEG and EEG. Hum Brain Mapp , 2009 , 30: 1857 -1865 CrossRef Google Scholar [13] Edelman B J, Baxter B, He B. EEG source imaging enhances the decoding of complex right-hand motor imagery tasks. IEEE Trans Biomed Eng , 2016 , 63: 4 -14 Cr...
Gross Source connectivity analysis with MEG and EEG Hum. Brain Mapp., 30 (2009), pp. 1857-1865, 10.1002/hbm.20745 View in ScopusGoogle Scholar Scott and Johnsrude, 2003 S.K. Scott, I.S. Johnsrude The neuroanatomical and functional organization of speech perception Trends Neurosci., 26 (...
EEG Source Connectivity Analysis: From Dense Array Recordings to Brain Networks. PloS one. 2014; 9(8):e105041. doi: 10.1371/journal.pone. 0105041 PMID: 25115932 4. Schoffelen JM, Gross J. Source connectivity analysis with MEG and EEG. Human brain mapping. 2009; 30(6...
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It includes algorithms for simple and advanced analysis, such as time-frequency analysis using multitapers, source reconstruction using dipoles, distributed sources and beamformers, connectivity analysis, and nonparametric statistical permutation tests at the channel and source level. The implementation as ...
Using Brainstorm, neuroscience researchers with no programming experience can visualize and process vast amounts of MEG and EEG data.
parametric and nonparametric spectral analysis, forward and inverse source modelling, connectivity analysis, classification, real-time data processing, and statistical inference. Finally, the toolbox contains a module allowing for peer-to-peer distributed computing. The structure of the toolbox with its ...
From a physiological point of view, the linear inverse source solution of EEG-MEG data suggested a contralaterally preponderant bilateral activation of primary sensorimotor cortex from the preparation to the execution of the movement. This activation was associated with that of the supplementary motor...