ReviewExpert review of neurotherapeutics2008
Computational models of epileptic activity: a bridge between observation and pathophysiological interpretation.
Review in Expert review of neurotherapeutics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed, 68 citations in OpenAlex.
- The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Nonlinear dynamical modeling of neural activity using volterra series with GA-enhanced particle swarm optimization algorithm.Cognitive neurodynamics · 2023Article
- Development of Mechanistic Neural Mass (mNM) Models that Link Physiology to Mean-Field Dynamics.Frontiers in network physiology · 2022Article
- Modeling plasticity during epileptogenesis by long short term memory neural networks.Cognitive neurodynamics · 2022Article
- Dynamical Network Models From EEG and MEG for Epilepsy Surgery-A Quantitative Approach.Frontiers in neurology · 2022Review
- A probabilistic method for determining cortical dynamics during seizures.Journal of computational neuroscience · 2015Article
- Detecting event-related recurrences by symbolic analysis: applications to human language processing.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2015Article
- Model-based asessment of an in-vivo predictive relationship from CA1 to CA3 in the rodent hippocampus.Journal of computational neuroscience · 2015Article
- Simulating vertical and horizontal inhibition with short-term dynamics in a multi-column multi-layer model of neocortex.International journal of neural systems · 2014Article
- Simulating lesions in multi-layer, multi-columnar model of neocortex.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2013Article
- Brain stimulation for epilepsy: of mice and man.Epilepsy currents · 2013Article
- Modulation of epileptic activity by deep brain stimulation: a model-based study of frequency-dependent effects.Frontiers in computational neuroscience · 2013Article
- Article
- Concepts of connectivity and human epileptic activity.Frontiers in systems neuroscience · 2011Article
- Time-domain features of epileptic spikes as potential bio-markers of the epileptogenesis process.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2010Article
- Analysis of intracerebral EEG recordings of epileptic spikes: insights from a neural network model.IEEE transactions on bio-medical engineering · 2009Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epilepsy is a neurological disorder characterized by the recurrence of seizures. It affects 50 million people worldwide. Although a considerable number of new antiepileptic drugs with reduced side effects and toxicity have been introduced since the 1950s, 30% of patients remain pharmacoresistant. Although epilepsy research is making progress, advances in understanding drug resistance have been hampered by the complexity of the underlying neuronal systems responsible for epileptic activity. In such systems where short- or long-term plasticity plays a role, pathophysiological alterations may take place at subcellular (i.e., membrane ion channels and neurotransmitter receptors), cellular (neurons), tissular (networks of neurons) and regional (networks of networks of neurons) scales. In such a context, the demand for integrative approaches is high and neurocomputational models become recognized tools for tackling the complexity of epileptic phenomena. The purpose of this report is to provide an overview on computational modeling as a way of structuring and interpreting multimodal data recorded from the epileptic brain. Some examples are briefly described, which illustrate how computational models closely related with either experimental or clinical data can markedly advance our understanding of essential issues in epilepsy such as the transition from background to seizure activity. A commentary is also made on the potential use of such models in the study of therapeutic strategies such as rational drug design or electrical stimulations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.