[Eeglablist] Biophysically realistic EEG animations available

[Scott Makeig]

http://www.youtube.com/watch?list=PLDF9D201769ADC62D&feature=player_detailpage&v=qFkUCTBan6c

This simulation, made by Zeynep Akalin Acar at the Swartz Center for
Computational Neuroscience (SCCN), UCSD, shows (on the left) 30 cm-scale
cortical EEG source areas, animated by EEG source waveforms decomposed from
actual EEG data using independent component analysis (ICA) in EEGLAB. The
speed of the animation is one fifth real time; the color scale is (red +,
blue -, green 0). The image on the right shows the summed projections of
the 30 sources to the scalp -- the EEG field produced by these sources. The
simulated EEG animation was computed in the NFT
<http://sccn.ucsd.edu/nft> toolbox using
an accurate boundary element method (BEM) electrical head model based on a
volunteer subject magnetic resonance (MR) head image. The animation
illustrates the very broad point spread from small source areas of locally
synchronous field activity (cortical EEG sources) to the scalp, and the
character of the EEG data moving field pattern.

For this and other EEG animations, visit this SCCN YouTube
channel<http://www.youtube.com/playlist?list=PLDF9D201769ADC62D>.
These
animations have been made public to allow their use in presentations and
class lectures.  Credits: Zeynep Akalin Acar & Scott Makeig


Scott

-- 
Scott Makeig, Research Scientist and Director, Swartz Center for
Computational Neuroscience, Institute for Neural Computation; Prof. of
Neurosciences (Adj.), University of California San Diego, La Jolla CA
92093-0559, http://sccn.ucsd.edu/~scott
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