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

Sarah F. Muldoon

doi:10.1016/j.neuron.2021.07.024

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

Sarah F. Muldoon

Mathematics

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	2501-2503
Number of pages	3
Journal	Neuron
Volume	109
Issue number	16
DOIs	https://doi.org/10.1016/j.neuron.2021.07.024
State	Published - Aug 18 2021

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10.1016/j.neuron.2021.07.024

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title = "Data-driven computational modeling predicts “superhubs” play key role in epileptic dynamics",

abstract = "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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Data-driven computational modeling predicts “superhubs” play key role in epileptic dynamics

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