Jean Ye
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 Original ResearchShared Brain Networks Support Neural Flexibility Across Transdiagnostic Populations
Ye J, Mehta S, Khaitova M, Arora J, Tokoglu F, Hahn C, Lacadie C, Greene A, Constable R, Scheinost D. Shared Brain Networks Support Neural Flexibility Across Transdiagnostic Populations. Biological Psychiatry 2026, 99: s15-s16. DOI: 10.1016/j.biopsych.2026.03.046.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 ResearchTrends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals
Rosenblatt M, Mehta S, Peterson H, Dadashkarimi J, Rodriguez R, Foster M, Adkinson B, Liang Q, Kimble V, Ye J, McCusker M, Farruggia M, Rolison M, Westwater M, Jiang R, Noble S, Scheinost D. Trends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals. ELife 2025, 12: rp88540. PMID: 40366360, PMCID: PMC12077878, DOI: 10.7554/elife.88540.Peer-Reviewed Original ResearchTrends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals
Rosenblatt M, Mehta S, Peterson H, Dadashkarimi J, Rodriguez R, Foster M, Adkinson B, Liang Q, Kimble V, Ye J, McCusker M, Farruggia M, Rolison M, Westwater M, Jiang R, Noble S, Scheinost D. Trends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals. ELife 2025, 12 DOI: 10.7554/elife.88540.4.Peer-Reviewed Original ResearchConnectome-based predictive modeling of early and chronic psychosis symptoms
Foster M, Ye J, Powers A, Dvornek N, Scheinost D. Connectome-based predictive modeling of early and chronic psychosis symptoms. Neuropsychopharmacology 2025, 50: 877-885. PMID: 40016363, PMCID: PMC12032145, DOI: 10.1038/s41386-025-02064-9.Peer-Reviewed Original ResearchConnectome-based predictive modelingPositive and Negative Syndrome ScalePsychosis symptomsSymptom networksSymptom severityBrain networksNeural correlates of CPResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingNegative Syndrome ScaleIdentified group differencesPredicted effect sizeCorrelates of CPGeneral psychopathologyNegative symptomsPositive symptomsSyndrome ScaleFrontoparietal networkNeural correlatesVirtual lesion analysisGroup differencesConnectivity changesEffect sizeLesion analysisLongitudinal studyErratum for: Alterations in Volume and Intrinsic Resting-State Functional Connectivity Detected at Brain MRI in Individuals with Opioid Use Disorder.
Mehta S, Peterson H, Ye J, Ibrahim A, Saeed G, Linsky S, Kreinin I, Tsang S, Nwanaji-Enwerem U, Raso A, Arora J, Tokoglu F, Yip S, Hahn C, Lacadie C, Greene A, Jeon S, Constable R, Barry D, Redeker N, Yaggi H, Scheinost D. Erratum for: Alterations in Volume and Intrinsic Resting-State Functional Connectivity Detected at Brain MRI in Individuals with Opioid Use Disorder. Radiology 2025, 314: e249023. PMID: 39873610, PMCID: PMC11788710, DOI: 10.1148/radiol.249023.Commentaries, Editorials and Letters
2024
Alterations in Volume and Intrinsic Resting-State Functional Connectivity Detected at Brain MRI in Individuals with Opioid Use Disorder.
Mehta S, Peterson H, Ye J, Ibrahim A, Saeed G, Linsky S, Kreinin I, Tsang S, Nwanaji-Enwerem U, Raso A, Arora J, Tokoglu F, Yip S, Hahn C, Lacadie C, Greene A, Jeon S, Constable R, Barry D, Redeker N, Yaggi H, Scheinost D. Alterations in Volume and Intrinsic Resting-State Functional Connectivity Detected at Brain MRI in Individuals with Opioid Use Disorder. Radiology 2024, 313: e240514. PMID: 39656127, PMCID: PMC11694074, DOI: 10.1148/radiol.240514.Peer-Reviewed Original ResearchConceptsHealthy control participantsRight medial temporal lobeOpioid use disorderFunctional brain alterationsMedial temporal lobeOpioid use disorder groupFunctional connectivityUse disorderControl participantsBrain alterationsIntrinsic resting-state functional connectivityTemporal lobeMedial prefrontal cortex volumesVoxel-wise linear regressionT1-weighted MRIResting-state functional connectivityFamily-wise error correctionPrefrontal cortex volumeResting-state functional MRIIncreased functional connectivityIntrinsic connectivity distributionFunctional MRI studiesFemale participantsRegional brain volumesAssess group differencesNetwork state dynamics underpin basal craving in a transdiagnostic population
Ye J, Garrison K, Lacadie C, Potenza M, Sinha R, Goldfarb E, Scheinost D. Network state dynamics underpin basal craving in a transdiagnostic population. Molecular Psychiatry 2024, 30: 619-628. PMID: 39183336, DOI: 10.1038/s41380-024-02708-0.Peer-Reviewed Original ResearchConnectome-based predictive modelingBrain responsesRegulation of affective statesSample of healthy controlsTransdiagnostic populationTransdiagnostic sampleHigher cravingMotivational stateCravingFMRI methodsAffective statesScan runsExperimental stimuliNetwork engagementBrain dynamicsClinical implicationsHealthy controlsBrainIndividual variationState dynamicsCharacterize individualsReplication datasetPsychopathologyFMRIEngagement