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seizure-suppression-hub-stimulation

Identify epileptic brain network hubs and compute optimal electrical stimulation parameters.

2|Updated Feb 12, 2026
Search Tags:#brain-network#epilepsy#neural-dynamics#seizure#hub-stimulation#network-control-theory#stimulation-parameters
One-click install
npx skills add https://github.com/hiyenwong/ai_collection --skill seizure-suppression-hub-stimulation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seizure-suppression-hub-stimulation
Source: https://github.com/hiyenwong/ai_collection/tree/main/collection/skills/seizure-suppression-hub-stimulation
Command: npx skills add https://github.com/hiyenwong/ai_collection --skill seizure-suppression-hub-stimulation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Epilepsy patients lack safe, targeted intervention options beyond direct stimulation of seizure onset zones. This Skill identifies pivotal hubs in the brain network and prescribes optimal electrical stimulation to suppress seizures, offering a network-level alternative with potentially reduced risk.

Core Features & Use Cases

  • Hub identification: Detects influential brain nodes to guide stimulation without compromising essential functions.
  • Surrogate-model planning: Builds a neural dynamics proxy to forecast responses to stimulation.
  • Use Case: Pre-surgical planning, real-time closed-loop stimulation, and patient-specific network analysis for seizure control.

Quick Start

Provide brain network data and SOZ nodes, then ask for the agent to compute hub-driven stimulation parameters.

Frequently Asked Questions about seizure-suppression-hub-stimulation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does hub stimulation suppress seizures in an epileptic brain network?▼

Hub stimulation suppresses seizures by detecting influential brain network nodes and calculating optimal electrical stimulation parameters, providing a network-level alternative to directly targeting seizure onset zones.

How do I compute stimulation parameters for patient-specific seizure control?▼

Provide brain network data and seizure onset zone nodes to compute patient-specific stimulation parameters, using a surrogate neural dynamics model and network control theory to forecast responses and ensure safety.

Can network control theory identify safe stimulation targets for epilepsy?▼

Network control theory identifies safe stimulation targets by detecting pivotal hubs in the brain network and prescribing optimal electrical stimulation to suppress seizures without compromising essential brain functions.

When should I use hub-based stimulation planning instead of direct seizure onset zone stimulation?▼

Use hub-based stimulation planning for pre-surgical planning, real-time closed-loop stimulation, and patient-specific network analysis when you need a network-level intervention strategy with potentially reduced risk compared to direct seizure onset zone stimulation.

What data do I need to model neural dynamics for closed-loop seizure stimulation?▼

You need brain network data and seizure onset zone nodes to build a surrogate neural dynamics model that forecasts stimulation responses and computes safe, optimal parameters for closed-loop seizure control.

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