ArticleFrontiers in neuroscience2015
Optimal control based seizure abatement using patient derived connectivity.
Article in Frontiers in neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed, 89 citations in OpenAlex.
- Predicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based Simulations.PLoS computational biology · 2015Trial
- Vagus nerve stimulation for epilepsy: A narrative review of factors predictive of response.Epilepsia · 2024Review
- Virtual brain twins: from basic neuroscience to clinical use.National science review · 2024Review
- Spike-and-wave discharges of absence seizures in a sleep waves-constrained corticothalamic model.CNS neuroscience & therapeutics · 2024Article
- Closed-loop optogenetic control of the dynamics of neural activity in non-human primates.Nature biomedical engineering · 2023Article
- Suppression of seizure in childhood absence epilepsy using robust control of deep brain stimulation: a simulation study.Scientific reports · 2023Article
- Towards network-guided neuromodulation for epilepsy.Brain : a journal of neurology · 2022Review
- Prevalence and scalable control of localized networks.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Drug-resistant focal epilepsy in children is associated with increased modal controllability of the whole brain and epileptogenic regions.Communications biology · 2022Article
- Control theory illustrates the energy efficiency in the dynamic reconfiguration of functional connectivity.Communications biology · 2022Article
- Whole-Brain Modelling: Past, Present, and Future.Advances in experimental medicine and biology · 2022Article
- The Critical Modulatory Role of Spiny Stellate Cells in Seizure Onset Based on Dynamic Analysis of a Neural Mass Model.Frontiers in neuroscience · 2021Article
- Network structure of cascading neural systems predicts stimulus propagation and recovery.Journal of neural engineering · 2020Article
- Control of brain network dynamics across diverse scales of space and time.Physical review. E · 2020Article
- A practical guide to methodological considerations in the controllability of structural brain networks.Journal of neural engineering · 2020Article
- Model-based robust suppression of epileptic seizures without sensory measurements.Cognitive neurodynamics · 2020Article
- Dynamic Transitions of Epilepsy Waveforms Induced by Astrocyte Dysfunction and Electrical Stimulation.Neural plasticity · 2020Article
- Virtual resection predicts surgical outcome for drug-resistant epilepsy.Brain : a journal of neurology · 2019Article
- White Matter Network Architecture Guides Direct Electrical Stimulation through Optimal State Transitions.Cell reports · 2019Article
- Robust closed-loop control of spike-and-wave discharges in a thalamocortical computational model of absence epilepsy.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epilepsy is a neurological disorder in which patients have recurrent seizures. Seizures occur in conjunction with abnormal electrical brain activity which can be recorded by the electroencephalogram (EEG). Often, this abnormal brain activity consists of high amplitude regular spike-wave oscillations as opposed to low amplitude irregular oscillations in the non-seizure state. Active brain stimulation has been proposed as a method to terminate seizures prematurely, however, a general and widely-applicable approach to optimal stimulation protocols is still lacking. In this study we use a computational model of epileptic spike-wave dynamics to evaluate the effectiveness of a pseudospectral method to simulated seizure abatement. We incorporate brain connectivity derived from magnetic resonance imaging of a subject with idiopathic generalized epilepsy. We find that the pseudospectral method can successfully generate time-varying stimuli that abate simulated seizures, even when including heterogeneous patient specific brain connectivity. The strength of the stimulus required varies in different brain areas. Our results suggest that seizure abatement, modeled as an optimal control problem and solved with the pseudospectral method, offers an attractive approach to treatment for in vivo stimulation techniques. Further, if optimal brain stimulation protocols are to be experimentally successful, then the heterogeneity of cortical connectivity should be accounted for in the development of those protocols and thus more spatially localized solutions may be preferable.
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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.