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Oscillatory synchrony is hypothesized to support the flow of informationbetween brain regions, with different phase-locked configurations enablingactivation of different effective interactions. Along these lines, past workhas proposed multistable phase-locking as a means for hardwired brain networksto flexibly support multiple functional patterns, without having to reconfiguretheir anatomical connections. Given the potential link between interarealcommunication and phase-locked states, it is thus important to understand howthose states might be controlled to achieve rapid alteration of functionalconnectivity in interareal circuits. Here, we study functional state control insmall networks of coupled neural masses that display collective multistabilityunder determinstic conditions, and that display more biologically-realisticirregular oscillations and transient phase-locking when conditions arestochastic. In particular, we investigate the global responses of thesemesoscale circuits to external signals that target only a single subunit.Focusing mainly on the more realistic scenario wherein network dynamics arestochastic, we identify conditions under which local inputs (i) can triggerfast transitions to topologically distinct functional connectivity motifs thatare temporarily stable ("state switching"), (ii) can smoothly adjust thespatial pattern of phase-relations for a particular set of lead-lagrelationships ("state morphing"), and (iii) fail to regulate globalphase-locking states. In total, our results add to a growing literaturehighlighting that the modulation of multistable, interareal coherence patternscould provide a basis for flexible brain network operation.

Controlling collective dynamical states of mesoscale brain networks with local perturbations