traced-activation-cascade-analysis
CommunityRoot-cause analysis for brain activation cascades.
Education & Research#root-cause analysis#neuroimaging#connectome#activation cascade#traced#brain networks#linear-threshold
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
TRACED identifies the smallest set of brain connectivity changes that explain observed activation cascade differences between two groups.
Core Features & Use Cases
- Minimal explanatory edges: Finds the smallest edge weight changes that explain cascade differences.
- Group comparison: Useful for clinical studies (e.g., MDD vs healthy controls) and pre/post treatment analyses.
- Clinical relevance: Maps edge changes to brain regions and functional implications.
Quick Start
Run TRACED on your two group activation cascade datasets to identify the minimal explanatory edge changes.
Dependency Matrix
Required Modules
None requiredComponents
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: traced-activation-cascade-analysis Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#traced-activation-cascade-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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