Archived AES Symposia 2004
AES Presidential Symposium
Epilepsy and Computational Neuroscience: At the Threshold of a Whole New Era
Program Length: 2 hrs 19 min
Computational neuroscience and bioinformatics have moved onto the center stage of modern science, linked in large part to the process of sequencing the genome of humans and other organisms, and the recognition that the astonishing complexity of biological systems can only be understood through the power of mathematical analysis and modeling. Epilepsy is clearly a manifestation of multiple pathophysiological processes impinging upon intricate networks, with the added complexity of the network dysfunction being intermittent and difficult to predict. Although computational approaches for the understanding of seizures and epilepsy have been studied for decades, the last few years have brought major conceptual advances. This rapidly moving field is becoming a regular part of basic epilepsy research, and is even resulting in direct, clinical application. The goal of this symposium is to provide a primer on computational neuroscience to clinicians and scientists not familiar with the field, and demonstrate how approaches and methods in this area of science are being used to understand properties of normal network function and network excitability.
At the conclusion of this activity, participants should be able to:
- Understand the major concepts used in designing computer-based, mathematical models of neural networks
- List two or three characteristics that appear to maintain the relative stability of neuronal networks
- Describe two examples of changes within a neuronal network (one at the level of the membrane, the other at the level of cell-cell connections) that have been observed in humans and modeled through computer simulations
- Explain how modeling techniques are allowing scientists to break down seizure precursors into their component mechanisms, and to map functional epileptic networks in a way that can be applied to clinical practice.
Practicing clinicians and other healthcare personnel involved in the direct care of patients with epilepsy, as well as other clinician-scientists and basic scientists.
Chair: Daniel H. Lowenstein, M.D.
- Introduction: On the Rise of the Machines
Daniel H. Lowenstein, M.D.
- Stability and Plasticity In Neuronal and Network Dynamics
Eve Marder, Ph.D.
- Using Computers to Identify Key Structure-Function Alterations in Epileptic Circuits
Ivan Soltesz, Ph.D.
- The Role of Computational Neuroscience in Understanding Seizure Generation and Prediction
Brian Litt, M.D.
This program and its re-purposing on the AES Web site with CME credit is supported in part by an educational grant from Eisai Inc.
Dr. Litt has indicated that he is a consultant for Medtronic and Neuropace and has participated from his laboratory with The University of Pennsylvania licensed technology with Neuropace, Inc. in exchange for stock options, a portion of which goes to inventors.
Dr. Lowenstein has indicated he receives grants/research support from NIH.
Dr. Marder has indicated that she has no relationships to disclose.
Dr. Soltesz has indicated that he has no relationships to disclose.