Abstract
In step with the worthwhile aim of this special issue, two junior investigators impart their insights on the therapeutic challenges imposed by pharmacoresistant epilepsies and offer viable approaches to improvement of treatment outcomes. Sunderam's comprehensive perspective addresses issues of critical importance for the design of efficacious therapies. Talathi delves into the thorny roles of so-called "interictal" spikes in ictio- and epileptogenesis, roles that are central to understanding the dynamics of these phenomena and implicitly of how to prevent them or abort them. First, however, Osorio and co-workers illustrate the complex behavior of the epileptogenic network and point to the importance of real-time intraindividual adaptation and optimization of therapies for seizures originating from the same epileptogenic network.
Original language | English |
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Pages (from-to) | 118-125 |
Number of pages | 8 |
Journal | Epilepsy and Behavior |
Volume | 22 |
Issue number | 1 |
DOIs | |
State | Published - Sep 2011 |
Bibliographical note
Funding Information:Sridhar Sunderam is grateful for support from NINDS and the Epilepsy Foundation, and for the opportunity to learn from some outstanding epilepsy researchers: Ivan Osorio, Mark Frei, Bruce Gluckman, Steven Schiff, and Steven Weinstein. Most of the author's work cited here was performed in collaboration with them.
Funding Information:
Sachin S. Talathi acknowledges past support from the Epilepsy Foundation of America, active support through an intramural grant from the University of Florida, the Wilder Center of Excellence for Epilepsy Research, and the Children's Miracle Network, and an opportunity to learn and collaborate with outstanding clinical and basic scientists: Paul Carney, William Ditto, Dong-Uk Hwang, and Pramod Khargonekar.
Keywords
- Anisotropy
- Clusters
- Current flow
- Electrotherapy
- Neuropil-electrode interface
- Nonstationarity
- Optimization
- Real time
- Seizures
- Spectral properties
ASJC Scopus subject areas
- Neurology
- Clinical Neurology
- Behavioral Neuroscience