Space x,y Wave amplitude v Time t The land of time (dynamics at 1 space point) x,y,v (for t =t n ) t,v (for x = x l and y = y m ) The land of space

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Slide 2 Slide 3 Slide 4 Space x,y Wave amplitude v Time t Slide 5 The land of time (dynamics at 1 space point) x,y,v (for t =t n ) t,v (for x = x l and y = y m ) The land of space (map at 1 time point) Slide 6 Time snapshots Multiplot x,y,v t1 x,y,v t2 t,v (x1,y1) t,v (x1,y2) t,v (x2,y1) t,v (x2,y2) Movie Slide 7 Where to redirect space? v t wave amplitude time xyxy abscissa ordinates xyxy space Slide 8 Perceptual organization Color vision Location/proximity color attributes/color similarity Temporal ubiquity Vision Persistence of information Selective attention Memory Slide 9 Slide 10 Slide 11 Colorimetric model: distance in a color space Gestalt Ability of the brain to perform perceptual organization Slide 12 v t xyxy space wave amplitude time xyxy abscissa wave length (colorimetric model) ordinates Slide 13 (x,y) x,y,v,t Slide 14 Slide 15 Welcome to hell: ~1 week of analysis per second of EEG Less than 2 cycles per spatio-temporal pattern - typical - Slide 16 Slide 17 4D visualization Filter selection Phase aggregation analysis Segmentation Coordination Dynamics Source location/source dynamics Database spatio-temporal features Stationary? YES NO Temporal organization Classification REFINE Slide 18 Slide 19 Slide 20 Slide 21 Conditions of occurrence: Mental states, clinical/pharmacological condition, cognitive operations, behavior Slide 22 Rabinovitch et al., (2008) Slide 23 Slide 24 Two uncoordinated assemblies Real synchronization inphase Slide 25 Babiloni et al., 2005 Source estimation is aided by 3 key aspects of this frameworks: Reconstruction performed on homogeneous samples of brain dynamics Limited inter-electrode variance in SNR and artifacts (bandpass filter) Prior knowledge (number of source, coordination dynamics...) provides constraints Slide 26 Slide 27