| Literature DB >> 31855828 |
William Stacey1, Mark Kramer2, Kristin Gunnarsdottir3, Jorge Gonzalez-Martinez4, Kareem Zaghloul5, Sara Inati6, Sridevi Sarma7, Jennifer Stiso8, Ankit N Khambhati8, Danielle S Bassett8, Rachel J Smith9, Virginia B Liu10, Beth A Lopour9, Richard Staba11.
Abstract
In recent years there has been increasing interest in applying network science tools to EEG data. At the 2018 American Epilepsy Society conference in New Orleans, LA, the yearly session of the Engineering and Neurostimulation Special Interest Group focused on emerging, translational technologies to analyze seizure networks. Each speaker demonstrated practical examples of how network tools can be utilized in clinical care and provide additional data to help care for patients with intractable epilepsy. The groups presented advances using tools from functional connectivity, control theory, and graph theory to analyze human EEG data. These tools have great potential to augment clinical interpretation of EEG signals.Entities:
Keywords: Control theory; EEG; Functional connectivity; Graph theory; Infantile spasms; Network analysis
Mesh:
Year: 2019 PMID: 31855828 PMCID: PMC6990460 DOI: 10.1016/j.eplepsyres.2019.106255
Source DB: PubMed Journal: Epilepsy Res ISSN: 0920-1211 Impact factor: 3.045