Quantifying hubness to predict surgical outcomes in epilepsy: Assessing resection‐hub alignment in interictal intracranial <scp>EEG</scp> networks
Our findings underscore the role of network hub surgical removal, measured through the RHAD metric of interictal intracranial EEG high gamma networks, in enhancing our understanding of seizure outcomes in epilepsy surgery.
Authors
- Nishant Sinha (ORCID: https://orcid.org/0000-0002-2090-4889)
- Ezequiel L. Gleichgerrcht (ORCID: https://orcid.org/0000-0002-4212-4146)
- Alexandra Parashos (ORCID: https://orcid.org/0009-0005-8627-8306)
- Leonardo Bonilha (ORCID: https://orcid.org/0000-0002-6153-8942)
- William A. Vandergrift (ORCID: https://orcid.org/0000-0002-6099-3118)
- Kathryn A. Davis (ORCID: https://orcid.org/0000-0002-7020-6480)
- Rebecca Roth (ORCID: https://orcid.org/0000-0002-8620-3946)
- Ruxue Gong (ORCID: https://orcid.org/0000-0003-4708-6414)
- Kaitlyn Hull
- Haris Rashid
Institutions
- Emory University (US)
- Medical University of South Carolina (US)
- University of South Carolina (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Epilepsia
- Published
- 2024-09-21
- DOI
- https://doi.org/10.1111/epi.18128
- Citations
- 5
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.71
Funders
- National Institute of Neurological Disorders and Stroke
- National Center for Advancing Translational Sciences