Talk from Merlin Dumeur - NeuroSpin/MIND
Short abstract:
The brain criticality hypothesis has proved to be a solid framework for understanding the scale-invariant properties of brain activity. However, while multifractal analysis, an extension of scale invariance analysis, has been applied to electrophysiological data, its usage and interpretability have remained very limited. This presentation covers the work I have performed during my PhD thesis. The basic principles of brain criticality and multifractal analysis are first introduced.
We then investigate the multifractal properties of a generative neural mass model of brain activity near its critical point. We show that the model is most multifractal near the critical point, and exhibit a relationship between self-similarity and multifractality in the model. Multifractal analysis is then carried out on a large MEG dataset of healthy subjects, and the presence of multifractality in the brain is then characterized. We find multifractality is consistently present across subjects, brain parcels and frequency bands, and we identify spatial patterns specific to the alpha and beta bands.