“…In this analytic framework, termed Leading Eigenvector Dynamics Analysis (LEiDA), RSNs are captured as recurrent modes of phase-locked synchronization of fMRI signals, which were found to overlap closely with RSNs from the literature (Lord et al, 2019;Vohryzek et al, 2020). An advantage of the method is that it allows calculation of the proportion of time points during an fMRI session assigned to a given RSN, providing a quantitative measure that can be statistically compared between conditions (Alonso Martínez et al, 2020;Cabral, Vidaurre, et al, 2017;Figueroa et al, 2019;Larabi et al, 2020;Magalhães et al, 2021;Wong et al, 2021). This approach allows detection of network-specific modulations; for example, a previous study using LEiDA revealed that psilocybin, a psychoactive molecule, selectively decreases the occupancy of the frontoparietal RSN (associated with executive control), leaving the occupancy of the other RSNs unchanged (Lord et al, 2019), while another study revealed the specific engagement of the orbitofrontal cortex reward system during music listening (Fasano et al, 2022).…”