Reproducible Neuronal Components found using Group Independent Component Analysis in Resting State Electroencephalographic Data
John Fredy Ochoa-Gómez,
Yorguin-José Mantilla-Ramos,
Verónica Henao Isaza
et al.
Abstract:ObjectiveEvaluate the reliability of neural components obtained from the appli-cation of the group ICA (gICA) methodology to resting-state EEG datasets acquired from multiple sites.MethodsFive databases from three sites, covering a total of 292 healthy subjects, were analyzed. Each dataset was segmented into groups of 15 subjects, for a total of 19 groups. Data were pre-processed using an automatic pipeline leveraging robust average referencing, wavelet-ICA and automatic rejection of epochs. On each group, sta… Show more
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