A supervised clustering approach for fMRI-based inference of brain states

Pattern Recognition

Volumn 45, Issue 6, 2012, Pages 2041-2049

  Michel, Vincent ^a,c,d   Gramfort, Alexandre ^a,c   Varoquaux, Gaël ^a,b,c   Eger, Evelyn ^b,c   Keribin, Christine ^d,e   Thirion, Bertrand ^a,c  

^a Parietal Team INRIA   (France)

^b INSERM U562 ^*  (France)

^c DIF   (France)

^d Select Team INRIA   (France)

^e UNIVERSITÉ PARIS SACLAY   (France)

Author keywords

Brain reading; Dimension reduction; Feature agglomeration; fMRI; Hierarchical clustering; Multi scale analysis; Prediction

Indexed keywords

BRAIN REGIONS; BRAIN STATE; BRAIN VOLUME; CLASSIFICATION TASKS; CONNECTIVITY CONSTRAINTS; CURSE OF DIMENSIONALITY; DIMENSION REDUCTION; DIMENSIONALITY REDUCTION; FMRI; FMRI DATA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HIER-ARCHICAL CLUSTERING; MULTI SCALE ANALYSIS; MULTISCALE REPRESENTATIONS; PREDICTION ACCURACY; REFERENCE METHOD; SIGNAL AVERAGE; SPATIAL CONFIGURATION; SPATIAL STRUCTURE; SUPERVISED CLUSTERING; TARGET INFORMATION; UNIVARIATE; VOXEL-BASED APPROACHES;

AGGLOMERATION; BRAIN; FORECASTING; FORESTRY; MAGNETIC RESONANCE IMAGING;

FUNCTIONAL NEUROIMAGING;

AGGLOMERATION; DIMENSIONS; FORECASTS; HIERARCHICAL SYSTEMS; IMAGE ANALYSIS; MAGNETIC RESONANCE;

EID: 80555158385     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.04.006     Document Type: Article

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