A critical assessment of connectivity measures for EEG data: a simulation study - supplementary material

This website provides Matlab code for generating the pseudo-EEG data used in [1]. There are some minor differences to the script originally used: the forward modeling is based on the ICBM152 average head model [2, 3] instead of the Colins 27 head model, and the source dipoles are not exactly placed 3cm under C3 and C4, but at the closest points of a grid of 1cm side length. These differences are of no importance for the evaluation of methods.

The Matlab code and data can be downloaded here: neuroimage_simulation.zip.

A call of make_datasets.m creates 100 pseudo-EEG datasets, which will require roughly 1.3 GB of disc space. In each of the datasets a linear time-lagged information flow from the left hemisphere (brain area below C3) to the right hemisphere (area below C4) is simulated. This flow is to be detected as the only true time-lagged interaction happening in the data. Electrode labels and positions are provided. Moreover, dipole coordinates in MNI space and corresponding lead fields may be used to employ connectivity estimation on inverse source reconstruction estimates.

If you are experiencing problems, or have a question, please email Stefan Haufe. You may also be interested in accessing the author's draft of the paper. If you use this code in a publication, please cite [1-3].

[1] S Haufe, VV Nikulin, KR Muller, G Nolte, A critical assessment of connectivity measures for EEG data: a simulation study. NeuroImage, 64:120-133, 2012
[2] VS Fonov, AC Evans, K Botteron, CR Almli, RC McKinstry, DL Collins and BDCG, Unbiased average age-appropriate atlases for pediatric studies, NeuroImage, 54:313-327, 2011
[3] VS Fonov, AC Evans, RC McKinstry, CR Almli and DL Collins, Unbiased nonlinear average age-appropriate brain templates from birth to adulthood, NeuroImage, Volume 47, Supplement 1, July 2009, Page S102, Organization for Human Brain Mapping 2009 Annual Meeting

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