FCtools: Functional Connectivity Tools

Analyzing and visualizing brain connectivity data, including network-based statistics (NBS) for linear and linear mixed models, both at edge level and functional network level (Yeo's 7-networks (Schaefer et al. (2017) <doi:10.1093/cercor/bhx179>)). Plots include edge-wise connectograms, chord diagrams, network connectograms, heatmaps, and 3D glass brain connectivity plots. 'FCtools' works with vectors of edges (derived from connectivity/adjacency matrices) from the 'Brainnetome' (Fan et al. (2016) <doi:10.1093/cercor/bhw157>), 'Schaefer' (100 or 200, each with 19 'ASeg' subcortices) (Schaefer et al. (2017) <doi:10.1093/cercor/bhx179>, Fischl et al. (2002) <doi:10.1016/S0896-6273(02)00569-X>), and 'Automated Anatomical Labeling' (AAL) atlases (Tzourio-Mazoyer et al. (2002) <doi:10.1006/nimg.2001.0978>).

Getting started

Package details

AuthorJunhong Yu [aut] (ORCID: <https://orcid.org/0000-0002-2563-9658>), Charly Billaud [aut, cre] (ORCID: <https://orcid.org/0009-0001-3466-9963>)
MaintainerCharly Billaud <charly.billaud@ntu.edu.sg>
LicenseGPL-3
Version2.3.1
URL https://cogbrainhealthlab.github.io/FCtools/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("FCtools")

Try the FCtools package in your browser

Any scripts or data that you put into this service are public.

FCtools documentation built on Sept. 15, 2026, 5:09 p.m.