fMRI Preprocessing Pipeline Guide
CommunityGuided fMRI preprocessing for reliable results
Education & Research#normalization#preprocessing#quality-control#neuroimaging#fmri#fmriprep#motion-correction
AuthorHaoxuanLiTHUAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This guide provides domain-validated guidance for deciding fMRI preprocessing steps, reducing researcher bias and methodological inconsistencies.
Core Features & Use Cases
- Comprehensive decision framework covering motion correction, slice timing, distortion correction, normalization, smoothing, and QC to ensure reproducible analyses.
- Suitable for task-based fMRI, resting-state connectivity, and MVPA, with tool-agnostic recommendations.
- Example use: design a preprocessing plan tailored to your study design and data characteristics, ensuring reproducibility.
Quick Start
Run a tailored preprocessing plan by asking for step-by-step guidance and parameter recommendations.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: fMRI Preprocessing Pipeline Guide Download link: https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills/archive/main.zip#fmri-preprocessing-pipeline-guide Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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