Stephanie Noble, PhD
Postdoctoral AssociateAbout
Research
Publications
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 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 ResearchConceptsFunctional magnetic resonance imagingResting-state functional magnetic resonance imagingResting-state dataCoactivation patternsFunctional connectivityResting-state signalsBrain's intrinsic functional architectureResting-state functional connectivityIntrinsic functional architectureTask activation patternsTask fMRI dataHigh identifiersFMRI dataLarge-scale neuroimaging datasetsConnectomeFunctional architectureNeuroimaging datasetsActivity patternsTask dataMagnetic resonance imagingTaskResonance imagingPhenotypic measurementsPredicting cognitive functioning in early psychosis: factors supporting and limiting generalizability of connectome-based models
O’Neill A, Pax M, Parent J, Sepulcre J, Camprodon J, Noble S, Roffman J, Eryilmaz H. Predicting cognitive functioning in early psychosis: factors supporting and limiting generalizability of connectome-based models. NPP—Digital Psychiatry And Neuroscience 2025, 3: 11. PMID: 40475845, PMCID: PMC12133584, DOI: 10.1038/s44277-025-00032-1.Peer-Reviewed Original ResearchConnectome-based predictive modelingEarly psychosisCognitive functionGoal of precision psychiatryPredictors of cognitive functionPrediction of cognitive functionPredicting cognitive performancePredicting cognitive functionModels of cognitionConnectome-based modelsPersonalized treatment developmentBrain connectivity patternsImpact functional outcomesHuman Connectome ProjectFluid cognitionPsychotic disordersSomatomotor networkCognitive abilitiesCognitive performancePrecision psychiatryVirtual lesion analysisTreatment developmentPsychosisCognitive outcomesCognitive impairmentConnectome 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 ResearchSource of individual differencesCo-activation patternsResting-state fMRIIndividual differencesFunctional connectivityBrain's intrinsic functional architectureResting-state functional connectivityResting-state signalsIntrinsic functional architectureFMRI dataCarrying informationFMRICo-activationFunctional architectureConnectomeTrends 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 ResearchComparing reliability-based measures of functional connectivity between movie and rest: An ROI-based approach
Shearer H, Eilbott J, Vila-Rodriguez F, Noble S, Xu T, Vanderwal T. Comparing reliability-based measures of functional connectivity between movie and rest: An ROI-based approach. Imaging Neuroscience 2025, 3: imag_a_00411. PMID: 40800749, PMCID: PMC12319993, DOI: 10.1162/imag_a_00411.Peer-Reviewed Original ResearchResting-state FCBrain regionsAbstract Functional connectivityFunctional connectivityPrecision psychiatryMeasures of functional connectivityField of precision psychiatryPre-supplementary motor areaSensitive to individual differencesDorsolateral prefrontal cortexWhole-brain levelMovie-watchingPrefrontal cortexTemporoparietal junctionROI-based approachIndividual differencesResting-stateResearch to clinical useMotor areaIntra-class correlation coefficientFC dataAcquisition statePsychiatryClinical useBrain
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 ResearchBrain-phenotype associationsConnectome-based predictive modelingBrain-behavior associationsPrediction of languagePhiladelphia Neurodevelopmental CohortHealthy Brain NetworkClinical symptom burdenFMRI taskHuman Connectome ProjectExecutive functionBehavioral measuresDevelopmental populationsNeurodevelopmental CohortBrain networksDevelopmental sampleConnectome ProjectResearch settingsGeneralizabilitySymptom burdenExternal validationFMRIClinical settingAssociationEthnic minority representationTaskTopological cluster statistic (TCS): Toward structural connectivity–guided fMRI cluster enhancement
L. S, Seguin C, Winkler A, Noble S, Zalesky A. Topological cluster statistic (TCS): Toward structural connectivity–guided fMRI cluster enhancement. Network Neuroscience 2024, 8: 902-925. PMID: 39355436, PMCID: PMC11424043, DOI: 10.1162/netn_a_00375.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingAbstract Functional magnetic resonance imagingBrain activityAnatomical connectivity informationMedium-sized effectsCluster-based inferenceMultimodal informationConnectivity informationAnatomical underpinningsActive inferenceNeuroimaging analysisAnatomical networksDiffusion tractographyOptimal inferenceInsufficient statistical powerWidespread activationMagnetic resonance imagingFunctional imagingConventional approachesDetect local changesInferenceBrainResonance imagingStatistical powerUsabilityPower 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 ResearchHuman Connectome ProjectAdolescent Brain Cognitive Development StudyConnectome ProjectCognitive Development StudyPhiladelphia Neurodevelopmental CohortHealthy Brain NetworkStructural connectivity dataMatrix ReasoningWorking memoryAnxiety/depression symptomsAttention problemsNeurodevelopmental CohortBrain networksBrain-phenotype associationsEffect sizeConnectivity dataExternal validationRelated processesValidation studySample sizeBrain ProjectDevelopment studiesTraining sample sizeGeneralizability of modelsExternal samples