Relation of spontaneous network activity to task performance
While these networks have been analyzed in a static manner, it is obvious that the brain navigates through these networks in a dynamic fashion. Therefore, we also investigate dynamic changes of spontaneous networks and how those relate to task-related activity using Hidden Markov Models (Hirschmann et al., 2020). With this analysis, we could identify a brain network, which was predictive of a strong visual gamma response. In a second study, we investigated tactile perception and could identify network switches before the percept, which were predictive of the reported percept (Sharma et al. 2023).
J. Hirschmann, S. Baillet, M. Woolrich, A. Schnitzler, D. Vidaurre, E. Florin (2020): Spontaneous network activity <35Hz accounts for variability in stimulus-induced gamma responses, NeuroImage, 207: 116374.
A. Sharma, J. Lange, D. Vidaurre, E. Florin: Dynamic whole brain network activity explains trial-to-trial somatosensory perceptual variability, BioRxiv: https://doi.org/10.1101/2023.10.19.563130.