Chris Camp
About
Research
Publications
Featured Publications
Test-Retest Reliability of Functional Connectivity in Adolescents With Depression
Camp C, Noble S, Scheinost D, Stringaris A, Nielson D. Test-Retest Reliability of Functional Connectivity in Adolescents With Depression. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2023, 9: 21-29. PMID: 37734478, PMCID: PMC10843837, DOI: 10.1016/j.bpsc.2023.09.002.Peer-Reviewed Original Research
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 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 ResearchConnectome caricatures remove large-amplitude coactivation patterns in resting-state fMRI to emphasize individual differences
Rodriguez R, Noble S, Camp C, Scheinost D. Connectome caricatures remove large-amplitude coactivation patterns in resting-state fMRI to emphasize individual differences. Nature Neuroscience 2025, 28: 2601-2611. PMID: 41184631, PMCID: PMC12641774, DOI: 10.1038/s41593-025-02099-7.Peer-Reviewed Original ResearchConnectome caricatures: large-amplitude co-activation patterns in resting-state fMRI hide sources of individual differences
Rodriguez R, Noble S, Camp C, Scheinost D. Connectome caricatures: large-amplitude co-activation patterns in resting-state fMRI hide sources of individual differences. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2025 DOI: 10.58530/2025/1347.Peer-Reviewed Original Research
2024
Power 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
2023
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available
Dadashkarimi J, Karbasi A, Liang Q, Rosenblatt M, Noble S, Foster M, Rodriguez R, Adkinson B, Ye J, Sun H, Camp C, Farruggia M, Tejavibulya L, Dai W, Jiang R, Pollatou A, Scheinost D. Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available. Medical Image Analysis 2023, 88: 102864. PMID: 37352650, PMCID: PMC10526726, DOI: 10.1016/j.media.2023.102864.Peer-Reviewed Original Research
2022
Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer
Scheinost D, Pollatou A, Dufford A, Jiang R, Farruggia M, Rosenblatt M, Peterson H, Rodriguez R, Dadashkarimi J, Liang Q, Dai W, Foster M, Camp C, Tejavibulya L, Adkinson B, Sun H, Ye J, Cheng Q, Spann M, Rolison M, Noble S, Westwater M. Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer. Biological Psychiatry 2022, 93: 893-904. PMID: 36759257, PMCID: PMC10259670, DOI: 10.1016/j.biopsych.2022.10.014.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMood and Behaviors of Adolescents With Depression in a Longitudinal Study Before and During the COVID-19 Pandemic
Sadeghi N, Fors P, Eisner L, Taigman J, Qi K, Gorham L, Camp C, O'Callaghan G, Rodriguez D, McGuire J, Garth E, Engel C, Davis M, Towbin K, Stringaris A, Nielson D. Mood and Behaviors of Adolescents With Depression in a Longitudinal Study Before and During the COVID-19 Pandemic. Journal Of The American Academy Of Child And Adolescent Psychiatry 2022, 61: 1341-1350. PMID: 35452785, PMCID: PMC9015953, DOI: 10.1016/j.jaac.2022.04.004.Peer-Reviewed Original Research
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