Time-evolving controllability of effective connectivity networks during seizure progression
Abstract
Responsive neurostimulation is an increasingly accessible treatment for medication-resistant epilepsy that aims to suppress seizures using electrical stimulation from implanted intracranial electrodes. However, the optimal cortical location and time point for intervening once a seizure begins are not well understood. Here we represent a seizure as a series of effective connectivity networks over time and compute metrics of network controllability and optimal control energy. Our results allow us to characterize when and where the brain network may be the most responsive to an external stimulus.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 25, 2021
- Source ID
- 10.1073/pnas.2006436118
Entities
People
- Arian Ashourvan
- Brian Litt
- Brittany H. Scheid
- Danielle Bassett
- Fabio Pasqualetti
- Fadi Mikhail
- Jennifer Stiso
- Kathryn A Davis
Organizations
- Alfred P. Sloan Foundation
- Army Research Office
- Division of Behavioral and Cognitive Sciences
- Hospital of the University of Pennsylvania
- Institute for Scientific Interchange
- John D. and Catherine T. MacArthur Foundation
- National Institute of Neurological Disorders and Stroke
- Paul G. Allen Family Foundation
- University of California
- University of Pennsylvania