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Speaker: Ru(by) Kong (PhD, National University of Singapore) Dr. Kong is a Senior Research Fellow at the Centre for Sleep and Cognition, National University of Singapore. She completed her Ph.D. at NUS under the supervision of Dr. Thomas Yeo. Her research focuses on developing machine learning algorithms to investigate individual differences in brain organization using functional magnetic resonance imaging (fMRI), and examining how these differences relate to human behavior. More recently, her work has expanded to personalized brain stimulation. Resting-state functional connectivity (RSFC) has emerged as a powerful approach for characterizing large-scale brain networks. Yet, inconsistencies in how these networks are spatially defined and labeled across studies have posed challenges for interpretation and reproducibility in the field. To address this, Dr. Kong and colleagues have developed the Network Correspondence Toolbox (NCT) to permit researchers to examine and report spatial correspondence between their novel neuroimaging results and multiple widely used functional brain atlases. While population-level maps provide valuable insight, they may obscure biologically meaningful, individual-specific features. To better capture individual variability in brain organization, Kong and colleagues developed a multi-session hierarchical Bayesian model that generates high-quality, individualized functional parcellations. They further examined how these individual-specific parcellations relate to behavior and explored their potential clinical applications in personalized brain stimulation. In this talk, Dr. Kong covers the following: 1.How to use the Network Correspondence Toolbox (NCT) to report neuroimaging findings 2.The behavioral relevance of individual-specific functional parcellations 3.Recent clinical applications of individual-specific parcellations in personalized brain stimulation Publication DOIs: https://doi.org/10.1038/s41467-025-58... https://doi.org/10.1093/cercor/bhy123 https://doi.org/10.1101/2025.05.15.65... Toolboxes: https://github.com/ThomasYeoLab/CBIG/... https://github.com/rubykong/cbig_netw...