EEG in healthy humans.
Wavelet fractal analysis.
EEG microstate sequences in healthy humans at rest reveal scale-free dynamics.
Prof. Dimitri Van De Ville (MIPLAB - Medical Image Processing Lab), together with researcher of the University of Geneva, presents strong statistical evidence that microstate sequences - defined as short periods (100 ms) during which the electroencephalography (EEG) scalp topography remains quasi-stable - are scale free over six dyadic scales covering the 256-ms to 16-s range. These results advance the understanding of temporal dynamics of brain-scale neuronal network models such as the global workspace model. Whereas microstates can be considered the “atoms of thoughts,” the shortest constituting elements of cognition, they carry a dynamic signature that is reminiscent at characteristic timescales up to multiple seconds. The scale-free dynamics of the microstates might be the basis for the rapid reorganization and adaptation of the functional networks of the brain.
Dimitri Van De Ville et al., PNAS vol. 107 no. 42, 18179-18184, doi: 10.1073/pnas.1007841107 (2010)