Fig. 1
From: Brain songs framework used for discovering the relevant timescale of the human brain
General whole-brain modelling scheme for generating milliseconds time series from BOLD data. a Extracting the BOLD time series from fMRI with a typical time scale of 2 s. b These BOLD time series are generated by neural activity on the scale of milliseconds. This scale is fundamental to be able to investigate the relevant time scale of brain activity. c The transformation from slow to fast time scale is accomplished by whole-brain modelling, where we use the slow data to fit a balanced dynamic mean field model with realistic synaptic dynamics and shaped by the underlying anatomical skeleton. d The optimal working point of the model is found using the optimal global synchronisation level (red line shows the quadratic error of the difference between the empirical and simulated Kuramoto order parameters, see Methods) and fitting to the static functional connectivity (FC, black line shows the correlation between the empirical and simulated static FC matrices). At the optimal working point (corresponding to the minimum of the synchronisation fit, shown in orange box), the model generates the milliseconds time series which is used to find the relevant time scale
