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Related Concept Videos

Seizures: Classification01:13

Seizures: Classification

Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:

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Related Experiment Video

Updated: May 18, 2026

Direct-current Stimulation and Multi-electrode Array Recording of Seizure-like Activity in Mice Brain Slice Preparation
09:39

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Published on: June 7, 2016

Distributed control in a mean-field cortical network model: implications for seizure suppression.

ShiNung Ching1, Emery N Brown, Mark A Kramer

  • 1Department of Anesthesia, Critical Care & Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. shinung@mit.edu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 26, 2012
PubMed
Summary

Brain electrical stimulation (BES) can control seizures by targeting the seizure focus. However, this study shows local control has limitations in large brain networks, suggesting new strategies are needed for effective seizure management.

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Last Updated: May 18, 2026

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Published on: December 18, 2016

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Epilepsy Research

Background:

  • Brain electrical stimulation (BES) is explored for controlling pathological brain activity, particularly in epilepsy.
  • Current research primarily focuses on localized seizure foci, aiming to normalize neuronal dynamics.
  • Epileptic seizures can also manifest as network events, originating from multiple sites and spreading across distributed cortical networks.

Purpose of the Study:

  • To investigate the efficacy of local BES within a larger-scale neuronal network context.
  • To explore the implications of controlling small neuronal populations when pathological activity involves distributed networks.
  • To identify limitations of local control strategies in network scenarios.

Main Methods:

  • Utilized a mean-field model of neuronal interactions.
  • Simulated the deployment of local BES over a larger-scale neuronal network, such as a cortical grid of stimulating electrodes.
  • Analyzed network controllability under physiological constraints.

Main Results:

  • Identified inherent limitations in network controllability using local BES.
  • Demonstrated that physiological constraints restrict the effectiveness of purely local control strategies.
  • Highlighted the inadequacy of solely targeting small, localized neuronal populations in complex network dynamics.

Conclusions:

  • Local brain electrical stimulation (BES) may be insufficient for controlling widespread pathological brain activity like epilepsy.
  • Network-level understanding and more nuanced control strategies are necessary for effective intervention.
  • Future research should focus on developing advanced BES approaches that consider network dynamics and physiological constraints.