Journal: NeuroImage

Article Title: Good scientific practice in EEG and MEG research: Progress and perspectives

doi: 10.1016/j.neuroimage.2022.119056

Figure Lengend Snippet: Example resources for Good Scientific Practice in MEEG research.

Article Snippet: SEREEGA , github.com/lrkrol/SEREEGA , MATLAB-based general multipurpose toolbox to simulate event-related EEG activity, also available as EEGLAB plugin..

Techniques: Clinical Proteomics, Software, Control, Transmission Assay, Activity Assay, Imaging

Journal: Frontiers in Neuroscience

Article Title: Group-level component analyses of EEG: validation and evaluation

doi: 10.3389/fnins.2015.00254

Figure Lengend Snippet: Basic concepts of group analyses using temporal concatenation and multilevel decomposition in combination with ICA or SOBI . For temporal concatenation, data aggregation yields a horizontally elongated matrix on which the demixing matrix W can be estimated, assuming the same mixing process for all subjects. This, however, is not the case with multilevel decomposition since single-subject as well as group-level decomposition prior to ICA/SOBI not only reduce the number of variables, but also allow for some variability of the latent structure across subjects. Note that usually only a subset of the c*n vertically concatenated components (c = number of channels/components, n = number of subjects) enter final decomposition via ICA or SOBI.

Article Snippet: Notable exceptions are the implementation of Infomax ICA, SOBI, as well as functions for data filtering and plotting of EEG topographies; for these tasks, routines of the MATLAB-based open source software package EEGLAB were used (Delorme and Makeig, ).

Techniques: