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Data-driven computational modeling predicts superhubs play key role in epileptic dynamics

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NEURON
卷 109, 期 16, 页码 2501-2503

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CELL PRESS
DOI: 10.1016/j.neuron.2021.07.024

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The study used computational models to predict the presence of superhubs in epileptic networks, showing that these highly connected neurons drive network activity through feedforward motifs.
How individual neurons influence epileptic networks remains an open question. In this issue of Neuron, Hadjiabadi et al. (2021) use data-driven, computational models to predict the presence of superhubs: highly connected neurons that drive network activity through feedforward motifs.

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