Functional Connectivity Tools R package FCtools version 2.3.1 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>). Software Depends: R (>= 4.1.0) Imports: Rfast, circlize, cowplot, doParallel, doSNOW, foreach, ggplot2, ggplotify, ggraph, grid, gridExtra, igraph, parallel, plotly, png, reshape2 Charly Billaud <charly.billaud@ntu.edu.sg> Comprehensive R Archive Network (CRAN) Junhong Yu [aut] (ORCID: <https://orcid.org/0000-0002-2563-9658>), Charly Billaud [aut, cre] (ORCID: <https://orcid.org/0009-0001-3466-9963>) GPL-3 2026-09-15 application/tgz https://CRAN.R-project.org/package=FCtools doi:10.32614/CRAN.package.FCtools