Exploratory analysis of fMR images by Fuzzy Clustering: Voxel Preselection via “Self-Similarity”

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ConferenceThe 7th Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine , May 24-28 1999, Philadelphia, PA, USA
AbstractAnalyzing fMR images using data-dr iven, bias- an d mod el- f ree ex ploratory data analysis method s, such as the Fuz zy Cluster ing algor ithmi has be come e ssential for the incre asingly complex ex per imental designs that are devised to p ro be brain function. All such meth ods have to deal with the low level of a ctivation ab ove the restin g state, the low SNR, and most impor tantly, with the fact that only a rather small f raction of the total n umber of voxels are a ctivated by most stimuli. The followin g preselection method is one of severalii that we have devised to exclu de “u ninterestin g” vox el time-courses (TCs) and focus only on the potentially interesting on e s before carrying out a Fuz zy Cluster ing An alysis (FCA).
AffiliationNRC Institute for Biodiagnostics; National Research Council Canada
Peer reviewedNo
NPARC number21277294
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Record identifiercacccb0d-f025-446c-9dfe-f51a873cd240
Record created2016-02-10
Record modified2016-05-09
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