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Neuroimage|November 11, 2022
Leveraging edge-centric networks complements existing network-level inference for functional connectomesRaimundo X Rodriguez, Stephanie Noble, Link Tejavibulya, et al.Biorxiv : the Preprint Server for Biology|January 18, 2024
The effects of data leakage on connectome-based machine learning modelsMatthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.Nature Communications|February 28, 2024
Data leakage inflates prediction performance in connectome-based machine learning modelsMatthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.Nature Neuroscience|November 3, 2025
Connectome caricatures remove large-amplitude coactivation patterns in resting-state fMRI to emphasize individual differencesRaimundo X Rodriguez, Stephanie Noble, Chris C Camp, et al.Biorxiv : the Preprint Server for Biology|April 22, 2024
Connectome caricatures: removing large-amplitude co-activation patterns in resting-state fMRI emphasizes individual differencesRaimundo X Rodriguez, Stephanie Noble, Chris C Camp, et al.Cognitive Neuroscience|December 28, 2020
Big data approaches to identifying sex differences in long-term memoryLink Tejavibulya, Dustin ScheinostNature Human Behaviour|April 15, 2026
Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkersBrendan D Adkinson, Matthew Rosenblatt, Huili Sun, et al.Neuroimage|March 10, 2022
Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivityLink Tejavibulya, Hannah Peterson, Abigail Greene, et al.Developmental Cognitive Neuroscience|October 24, 2024
Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populationsBrendan D Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, et al.Biorxiv : the Preprint Server for Biology|February 8, 2024
Brain-phenotype predictions can survive across diverse real-world dataBrendan D Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, et al.Pageof 26