Extract ROI time series and connectivity matrices from preprocessed BOLD data.
npx skills add https://github.com/CUHK-AIM-Group/NeuroClaw --skill nilearn-tool
Please help me install this Agent Skill. Skill: nilearn-tool Source: https://github.com/CUHK-AIM-Group/NeuroClaw/tree/main/skills/nilearn-tool Command: npx skills add https://github.com/CUHK-AIM-Group/NeuroClaw --skill nilearn-tool
Provides a reusable base/tool skill implementing concrete Nilearn workflows to turn preprocessed BOLD data into ROI time series, functional connectivity matrices, and optional GLM outputs, enabling researchers to build neuroimaging pipelines without rewriting core routines.
Run the Nilearn-based tool to extract ROI timeseries and connectivity from a preprocessed BOLD image using a given atlas and output directory.
High-intent search queries and answers about installing and using this skill.
To extract ROI time series from preprocessed BOLD Nifti images, this Skill provides reusable Nilearn workflows that apply an atlas parcellation, standardize signals, and detrend data for downstream connectivity analysis.
Yes, you can compute ROI-to-ROI functional connectivity matrices from fMRI data without custom code by using the Skill's built-in Nilearn wrapper interface and curated reference snippets for deterministic results.
This Skill supports optional first-level and second-level GLM integration for fMRI, providing basic model outputs through curated Nilearn workflows within a reproducible wrapper interface.
The wrapper interface handles reproducibility for Nilearn connectome and GLM workflows by routing deterministic CLI commands through claw-shell, utilizing curated snippets to ensure consistent neuroimaging feature extraction.
The best way to standardize and detrend ROI time series for functional connectivity analysis is using this Skill's implemented Nilearn workflows, which automatically preprocess extracted signals before generating connectome matrices.
Yes, you need preprocessed BOLD data and a defined atlas or parcellation as inputs to start extracting functional connectivity and ROI time series through the provided Nilearn-based workflows.
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