Domain-validated guidance for fMRI General Linear Model specification: HRF modeling, design matrix construction, contrast definition, confound regression, and statistical inference
Quickly install fmri glm analysis guide AI skill to your development environment via command line
Source: haoxuanlithuai/awesome_cognitive_and_neuroscience_skills.
The General Linear Model (GLM) is the standard statistical framework for task-based fMRI analysis. It models the observed BOLD time series as a linear combination of expected signal components (task regressors convolved with the hemodynamic response function) plus confound regressors plus noise (Poline & Brett, 2012; Poldrack et al., 2011, Ch. 4).
This skill encodes the domain-specific judgment needed to correctly specify a GLM for fMRI data. A competent programmer without neuroimaging training would get many of these decisions wrong -- choosing the wrong HRF model, setting an inappropriate high-pass filter cutoff, omitting critical confound regressors, or applying invalid statistical thresholds. Each decision described here requires understanding the bioph...
This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.
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npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill fmri glm analysis guideBrowse more skills from haoxuanlithuai/awesome_cognitive_and_neuroscience_skills
Domain-validated guidance for fMRI General Linear Model specification: HRF modeling, design matrix construction, contrast definition, confound regression, and statistical inference Source: haoxuanlithuai/awesome_cognitive_and_neuroscience_skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill fmri glm analysis guide Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills