Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks

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GRETNA: a graph theoretical network analysis toolbox for imaging connectomics (2015, methodology): “…graph-based topological analyses of brain networks, such as the Brain Connectivity Toolbox (BCT; Rubinov and Sporns, 2010), eConnectome (He et al., 2011), CONN (Whitfield-Gabrieli and Nieto-Castanon, 2012), Graph-Analysis Toolbox (GAT; Hosseini et al., 2012) and GraphVar (Kruschwitz et al., 2015).”
DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging (2016, methodology): “Although DPARSF has been widely used (including more recent R-fMRI pipelines CONN (Whitfield-Gabrieli and Nieto-Castanon, 2012) and FATCAT (Taylor and Saad, 2013)), the original DPARSF has fallen behind with some recent developments of R-fMRI methodologies, particularly in relation to R-fMRI methodo”
Graph Neural Networks in Network Neuroscience (2021, methodology): “were generated using CONN toolbox or groupwise wholebrain parcellation approaches [21], [22].”