Brain Connectivity Modeler
CommunityGuides brain connectivity analyses for fMRI.
AuthorHaoxuanLiTHUAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Brain connectivity analysis helps researchers move beyond simple activation mapping to understand how brain regions interact, and to choose appropriate analysis frameworks with domain-aware decision making.
Core Features & Use Cases
- Framework selection: functional connectivity, effective connectivity, and graph-theoretic approaches for fMRI data.
- Method guidance: PPI, DCM, Granger causality, ICA-based networks, with criteria for when to use each.
- Use Case: Plan an experiment to compare task-modulated connectivity using PPI or model-based DCM and interpret results in light of theoretical assumptions.
Quick Start
Design a brain connectivity analysis plan by selecting the appropriate connectivity framework for your fMRI dataset.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: Brain Connectivity Modeler Download link: https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills/archive/main.zip#brain-connectivity-modeler Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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