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eeg-microstate

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Quantify EEG microstates in minutes.

Education & Research#data analysis#neuroimaging#eeg#microstates#pycrostates#gfp peaks#modified k-means
Authordengzhe-hou
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you compute standardized EEG microstate statistics (coverage, GEV, mean duration, occurrence, and transitions) from cleaned EEG without manually stitching together microstate-analysis steps.

Core Features & Use Cases

  • GFP-peak microstate segmentation: fits modified k-means microstate models using GFP peaks rather than all time points.
  • Configurable K and templates: supports Koenig-style canonical K (default 4) and optional published vs fitted template modes.
  • Backend-validated execution: resolves and uses pycrostates through ENVIRONMENT.json to ensure the right runtime.
  • Actionable outputs: writes per-subject microstate parameter JSON plus group template files and a summary CSV, and appends results to FINDINGS.md for reporting.

Quick Start

Run microstate analysis on your project by ensuring ANALYSIS_PLAN.md and clean-stage data exist, then instruct your agent: "/eeg-microstate projects/my-study -- k: 4 -- template: fit-here".

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: eeg-microstate
Download link: https://github.com/dengzhe-hou/auto-eeg-analysis/archive/main.zip#eeg-microstate

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