INS Topical Seminar – Adrian Ponce Alvarez (Barcelona)
“Reduced large-scale models of spontaneous and task brain activity”
Spatial patterns of coherent activity across different brain regions have been identified during the resting-state fluctuations of the brain. The question of how such resting-state functional connectivity (FC) emerges from the brain’s anatomical connections has motivated several experimental and computational studies to understand structure/function relationships. Moreover, it has been shown that resting-state activity is not stationary but shows complex slow temporal dynamics, reflecting the transient formation and dissolution of multiple sub-networks. Theoretical models allow us to investigate explicitly how the interplay between neural dynamics and underlying anatomical connectivity give rise to spatiotemporally organized activity. Using reduced large-scale models, which are mathematical approximations of more biologically plausible models, and analyses of fMRI activity I will show how simple dynamics embedded in the human cerebral connectome can explain i) the emergence of FC, ii) the formation of transient sub-networks, iii) the building up of state-dependent effective connectivity under task conditions, and, finally, iv) I will discuss the models’ functional implications in terms of the information capacity of brain networks and the transmission of stimulus-related information.
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