ccep-causal-brain-network

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Uncover causal brain networks from iEEG data.

Authorhiyenwong
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Traditional brain-network analyses struggle to establish directionality and causality. Cortico-cortical evoked potentials (CCEP) provide direct, high-resolution measurements to infer directional connectivity from intracranial data.

Core Features & Use Cases

  • CCEP-driven causal connectivity mapping across cortical regions.
  • Early and late component analysis (N1, N2) to infer pathways.
  • Applications in language, motor, visual and default mode networks; epilepsy localization and brain plasticity studies.
  • Real-world example: localize epileptogenic zones and monitor plastic changes after intervention.

Quick Start

Apply iEEG-recorded CCEP stimulation to a patient dataset to construct a directional brain network and identify causal connections.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: ccep-causal-brain-network
Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#ccep-causal-brain-network

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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