CONN functional connectivity toolbox, Version 25: RRID SCR_009550

Nieto-Castanon, A. & Whitfield-Gabrieli, S. (2025)

Abstract

The 25th version of CONN -a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity (FC) in fMRI- brings several updates and additions. New procedures and tools include the combined Denoising and Quality Control tab, which allows users to better evaluate and understand the effect of different denoising choices on their own data. Through novel measures like Data Validity, Data Quality, and Data Sensitivity scores, users can now easily evaluate the presence of biases in FC estimates, the presence of motion or other confounds, as well as the effect of their experiment sample size and scan duration on the group- and subject- level sensitivity of their FC measures, and they can optimize their denoising strategy to simultaneously maximize all these aspects of their data. New tools include the addition of Connectome Predictive Models to the range of CONN modules for advanced group-level analyses, the incorporation of the Schaefer 400-ROIs parcellation and associated Yeo’s 7-network clusters to the set of default ROIs in CONN available for any seed-based or ROI-to-ROI analyses, as well as the addition of SPM’s SCOPE procedures for susceptibility distortion correction using opposite phase-encoding-direction images.  

CONN 25 ZIP sha256:7aa111d01537305a5a7d62d9713a7ca7bd28fd330e774bcfeb3f8e0a0f7e4e07