ArticleScientific reports2016
Suppressing epileptic activity in a neural mass model using a closed-loop proportional-integral controller.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Deterministic, stochastic, and mean-field PDE models in neuroscience.Frontiers in computational neuroscience · 2026Review
- On the virtues and limitations of Granger-causal brain connectivity estimate: Critical analysis using neural mass models.Network neuroscience (Cambridge, Mass.) · 2026Article
- Adaptive fuzzy iterative learning control based neurostimulation system and in-silico evaluation.Cognitive neurodynamics · 2024Article
- Design of Closed-Loop Control Schemes Based on the GA-PID and GA-RBF-PID Algorithms for Brain Dynamic Modulation.Entropy (Basel, Switzerland) · 2023Article
- Suppression of seizure in childhood absence epilepsy using robust control of deep brain stimulation: a simulation study.Scientific reports · 2023Article
- Closed-loop controller based on reference signal tracking for absence seizures.Scientific reports · 2022Article
- On disturbance rejection control of the epileptiform spikes.Cognitive neurodynamics · 2022Article
- The Neural Engine: A Reprogrammable Low Power Platform for Closed-Loop Optogenetics.IEEE transactions on bio-medical engineering · 2020Article
- Model-based design for seizure control by stimulation.Journal of neural engineering · 2020Article
- Model-based robust suppression of epileptic seizures without sensory measurements.Cognitive neurodynamics · 2020Article
- Low-latency single channel real-time neural spike sorting system based on template matching.PloS one · 2019Article
- A neural mass model to predict electrical stimulation evoked responses in human and non-human primate brain.Journal of neural engineering · 2018Article
- Analytically determining frequency and amplitude of spontaneous alpha oscillation in Jansen's neural mass model using the describing function method.Chinese physics B = Zhongguo wu li B · 2018Article
- A new description of epileptic seizures based on dynamic analysis of a thalamocortical model.Scientific reports · 2017Article
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4 authors.
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Abstract
Closed-loop control is a promising deep brain stimulation (DBS) strategy that could be used to suppress high-amplitude epileptic activity. However, there are currently no analytical approaches to determine the stimulation parameters for effective and safe treatment protocols. Proportional-integral (PI) control is the most extensively used closed-loop control scheme in the field of control engineering because of its simple implementation and perfect performance. In this study, we took Jansen's neural mass model (NMM) as a test bed to develop a PI-type closed-loop controller for suppressing epileptic activity. A graphical stability analysis method was employed to determine the stabilizing region of the PI controller in the control parameter space, which provided a theoretical guideline for the choice of the PI control parameters. Furthermore, we established the relationship between the parameters of the PI controller and the parameters of the NMM in the form of a stabilizing region, which provided insights into the mechanisms that may suppress epileptic activity in the NMM. The simulation results demonstrated the validity and effectiveness of the proposed closed-loop PI control scheme.
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