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eeg-source

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Localize cortical EEG sources automatically.

Education & Research#bem#eeg#source localization#mne#dspm#roi time courses#freeSurfer
Authordengzhe-hou
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you estimate where in the brain scalp EEG signals originate, converting sensor-level activity into cortical/dipole source estimates for scientific reporting and analysis.

Core Features & Use Cases

  • Computes a forward model (BEM) and inverse solution using MNE-Python (dSPM, sLORETA, eLORETA, or MNE) or an LCMV beamformer option, producing time-resolved source estimates.
  • Supports template (fsaverage) and individual-head workflows with guardrails for FreeSurfer requirements and coregistration constraints.
  • Generates ROI time courses from standard cortical atlases (aparc, aparc.a2009s, HCPMMP1) for downstream stats/connectivity and writes parameter provenance for auditability.
  • Produces reusable artifacts and documentation, including platform checks, forward/inverse outputs, and parameter summaries you can cite in a methods write-up.

Quick Start

Ask the agent to run source localization on your epoched EEG data using the frozen analysis plan and fsaverage head model to generate dSPM source estimates and ROI time courses.

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-source
Download link: https://github.com/dengzhe-hou/auto-eeg-analysis/archive/main.zip#eeg-source

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