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. Author manuscript; available in PMC: 2011 Feb 15.
Published in final edited form as: Neuroimage. 2009 Dec 3;49(4):3319–3330. doi: 10.1016/j.neuroimage.2009.11.068

Fig. 1.

Fig. 1

MEGAN was used for preprocessing the MEG data. These data were saved in netCDF format and used as input for the CSST algorithm (1.A: averaged responses to words - whole head array; 1.B: averaged responses to words—this is the interval of time that was analyzed). MRIVIEW was used for: 1) segmenting the cortical volume (1.C); 2) conducting a least squares fit between ~150 points digitized on the head surface and the reconstructed MR surface (1.D); 3) determining the starting locations (red dots) and best-fitting sphere head model (1.E); and 4) setting-up the CSST fits and displaying the CSST source localization results (1.F). Thousands of fits to the data are analyzed, as opposed to a single fit, enhancing the probability of reaching the global minimum and obtaining statistically adequate and accurate solutions.