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A computational approach for characterizing the structural basis of intrinsic coupling modes of the cerebral cortex

Intrinsic coupling modes (ICMs) reflect the patterns of functional connectivity or synchronization between neuronal ensembles during spontaneous brain activity. These coupling modes represent a widely used concept in modern cognitive neuroscience for probing the connectional organization of intact or damaged brains. However, the principles that shape ICMs remain elusive, in particular their relation to the underlying brain structure. Here we explored ICMs from spontaneous resting awake activity of multiple cortical areas recorded using custom micro-electrocorticographic (μECoG) arrays chronically implanted in ferrets. Additionally, we obtained different kinds of structural connectivity estimates for the regions underlying the ECoG arrays. Then we use large-scale computational models to explore the ability to predict both types of ICMs. Overall, our results reveal that patterns of cortical functional coupling as reflected in phase and envelope ICMs are strongly related to the underlying structural connectivity, to the extent that simple computational models based on the SC topology already reproduce the functional coupling patterns reasonably well.