Enables fast computation of the intrinsic connectivity contrast (ICC), a measure of degree centrality for weighted networks, on large data.
Updated 18 Jul 2018

View License

The intrinsic connectivity contrast (ICC) is a measure of degree centrality for weighted networks. The ICC for a given voxel i is the average of the squared correlation values of the voxel i time series with that of every other voxel (i.e., ICC = mean(r.^2)). This function enables rapid computation of the ICC on extremely large resting-state fMRI datasets, including cases in which explict calculation of the full correlation matrix is prohibitive, whether due to RAM or computation time limitations.

*Intrinsic Connectivity Contrast References:

Martuzzi, R., Ramani, R., Qiu, M., Shen, X., Papademetris, X., & Constable, R. T. (2011). A whole-brain voxel based measure of intrinsic connectivity contrast reveals local changes in tissue connectivity with anesthetic without a priori assumptions on thresholds or regions of interest. Neuroimage, 58(4), 1044-1050.

Whitfield-Gabrieli, S., & Nieto-Castanon, A. (2012). Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain connectivity, 2(3), 125-141.

Note: for implementation details, see Whitfield-Gabrieli & Nieto-Castanon (2012) Appendix A.2: Computing Voxel-Wise Linear Functional Connectivity Measures Singular Value Decomposition

Cite As

Elliot Layden (2024). intrinsic_connectivity_contrast (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes

-updated description