conn-tool

You can run ROI-to-ROI and seed-to-voxel functional connectivity analyses on fMRI data by using a wrapper that orchestrates the CONN Toolbox within MATLAB to extract ROIs, compute connectivity, and report results.

Effective connectivity analyses for preprocessed fMRI data include PPI, gPPI, and DCM analyses, which are executed through a CONN Toolbox wrapper to compute directional influences between brain regions.

Yes, you need MATLAB and SPM installed to perform CONN connectivity analyses, as the wrapper verifies these dependencies during setup and requires preprocessed fMRI data before execution.

To set up a CONN project for ICA network analysis, the wrapper verifies your MATLAB, SPM, and CONN environment, establishes the project from preprocessed fMRI data, and extracts ROIs before computing connectivity.

The best way to ensure reproducible reporting for fMRI connectivity matrices and statistical maps is to use a CONN Toolbox wrapper that standardizes project setup, connectivity computation, and result summarization.

Your CONN connectivity workflow requires explicit confirmation before execution to ensure safe dependency checks and validate the project setup, ROI extraction, and connectivity computation steps through the claw-shell wrapper.