Link Tejavibulya
Research
Publications
2026
External validation improves generalizability, replicability and reproducibility in predictive models for neuroimaging
Rosenblatt M, Foster M, Adkinson B, Tejavibulya L, Khaitova M, Ye J, Sun H, Rodriguez R, Camp C, Chinta A, McCusker M, Han L, Fields C, Mehta S, Scheinost D. External validation improves generalizability, replicability and reproducibility in predictive models for neuroimaging. Nature Methods 2026, 1-11. PMID: 42203860, DOI: 10.1038/s41592-026-03115-9.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsWhat effect sizes can we expect in functional neuroimaging?
Shearer H, Rosenblatt M, Ye J, Jiang R, Tejavibulya L, Foster M, Liang Q, Dadashkarimi J, Westwater M, Cheng I, Rolison M, Peterson H, Adkinson B, Mehta S, Camp C, Fischbach A, Cravo F, Meija A, Nichols T, Curtiss J, Scheinost D, Noble S. What effect sizes can we expect in functional neuroimaging? JoCN Forum 2026 DOI: 10.21428/8e6ba8ef.af9f794c.Peer-Reviewed Original ResearchOptimizing functional connectivity scanning conditions for predicting autistic traits
Horien C, Mandino F, Greene A, Shen X, Powell K, Vernetti A, O’Connor D, Adkinson B, Tejavibulya L, McPartland J, Volkmar F, Chun M, Chawarska K, Lake E, Rosenberg M, Satterthwaite T, Scheinost D, Finn E, Constable R. Optimizing functional connectivity scanning conditions for predicting autistic traits. Nature Mental Health 2026, 4: 792-805. PMID: 42137910, PMCID: PMC13167459, DOI: 10.1038/s44220-026-00623-7.Peer-Reviewed Original ResearchFeature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers
Adkinson B, Rosenblatt M, Sun H, Dadashkarimi J, Tejavibulya L, Horien C, Westwater M, Rodriguez R, Noble S, Scheinost D. Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers. Nature Human Behaviour 2026, 1-15. PMID: 41986741, DOI: 10.1038/s41562-026-02447-y.Peer-Reviewed Original Research
2025
BrainEffeX: A Web App for Exploring fMRI Effect Sizes
Shearer H, Rosenblatt M, Ye J, Jiang R, Tejavibulya L, Foster M, Liang Q, Dadashkarimi J, Westwater M, Cahill C, Cheng I, Fischbach A, Humphries A, Baskaran A, Rolison M, Peterson H, Adkinson B, Mehta S, Camp C, Nichols T, Curtiss J, Scheinost D, Noble S. BrainEffeX: A Web App for Exploring fMRI Effect Sizes. Aperture Neuro 2025, 5: 10.52294/001c.146251. PMID: 41675933, PMCID: PMC12889895, DOI: 10.52294/001c.146251.Peer-Reviewed Original ResearchVariation in moment-to-moment brain state engagement follows a consistent trajectory during development
Ye J, Tejavibulya L, Dai W, Cope L, Hardee J, Heitzeg M, Lichenstein S, Yip S, Banaschewski T, Baker G, Bokde A, Brühl R, Desrivières S, Flor H, Gowland P, Grigis A, Heinz A, Martinot J, Martinot M, Artiges E, Nees F, Orfanos D, Poustka L, Hohmann S, Holz N, Baeuchl C, Smolka M, Vaidya N, Walter H, Whelan R, Schumann G, Garavan H, Chaarani B, Gee D, Baskin-Sommers A, Casey B, Consortium I, Scheinost D. Variation in moment-to-moment brain state engagement follows a consistent trajectory during development. Neuron 2025, 113: 3863-3875.e6. PMID: 40967219, PMCID: PMC12483157, DOI: 10.1016/j.neuron.2025.08.020.Peer-Reviewed Original ResearchFunctional Connectome Correlates of Laterality Preferences: Insights into Hand, Foot, and Eye Dominance across the Lifespan
Tejavibulya L, Horien C, Fredericks C, Ficek B, Westwater M, Scheinost D. Functional Connectome Correlates of Laterality Preferences: Insights into Hand, Foot, and Eye Dominance across the Lifespan. ENeuro 2025, 12: eneuro.0580-24.2025. PMID: 40473471, PMCID: PMC12244319, DOI: 10.1523/eneuro.0580-24.2025.Peer-Reviewed Original ResearchBrain handedness associations depend on how and when handedness is measured
Tejavibulya L, Horien C, Fredricks C, Ficek-Tani B, Westwater M, Scheinost D. Brain handedness associations depend on how and when handedness is measured. Scientific Reports 2025, 15: 9674. PMID: 40113911, PMCID: PMC11926124, DOI: 10.1038/s41598-025-94036-8.Peer-Reviewed Original Research
2024
Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populations
Adkinson B, Rosenblatt M, Dadashkarimi J, Tejavibulya L, Jiang R, Noble S, Scheinost D. Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populations. Developmental Cognitive Neuroscience 2024, 70: 101464. PMID: 39447452, PMCID: PMC11538622, DOI: 10.1016/j.dcn.2024.101464.Peer-Reviewed Original ResearchPower and reproducibility in the external validation of brain-phenotype predictions
Rosenblatt M, Tejavibulya L, Sun H, Camp C, Khaitova M, Adkinson B, Jiang R, Westwater M, Noble S, Scheinost D. Power and reproducibility in the external validation of brain-phenotype predictions. Nature Human Behaviour 2024, 8: 2018-2033. PMID: 39085406, DOI: 10.1038/s41562-024-01931-7.Peer-Reviewed Original Research