2024
Data leakage inflates prediction performance in connectome-based machine learning models
Rosenblatt M, Tejavibulya L, Jiang R, Noble S, Scheinost D. Data leakage inflates prediction performance in connectome-based machine learning models. Nature Communications 2024, 15: 1829. PMID: 38418819, PMCID: PMC10901797, DOI: 10.1038/s41467-024-46150-w.Peer-Reviewed Original Research
2023
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 ResearchMeSH KeywordsAdolescentBrainBrain MappingDepressionDepressive Disorder, MajorFemaleHumansReproducibility of ResultsConceptsMajor depressive disorderIntraclass correlation coefficientTest-retest reliabilityPsychiatric illnessFunctional connectivityMean intraclass correlation coefficientFunctional magnetic resonance imagingMagnetic resonance imagingAverage intraclass correlation coefficientEffect sizeDepressive disorderLongitudinal cohortHealthy individualsMultivariate analysisResonance imagingSymptom severityReproducible biomarkersBrain-behavior associationsGroup differencesDepressionHealthy samplesCorrelation coefficientIllnessAdolescentsBiomarker identification
2019
Cluster failure or power failure? Evaluating sensitivity in cluster-level inference
Noble S, Scheinost D, Constable RT. Cluster failure or power failure? Evaluating sensitivity in cluster-level inference. NeuroImage 2019, 209: 116468. PMID: 31852625, PMCID: PMC8061745, DOI: 10.1016/j.neuroimage.2019.116468.Peer-Reviewed Original ResearchToward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research
Yip SW, Kiluk B, Scheinost D. Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2019, 5: 748-758. PMID: 31932230, PMCID: PMC8274215, DOI: 10.1016/j.bpsc.2019.11.001.Peer-Reviewed Original ResearchConceptsIndividual differencesBrain-behavior modelsFuture neuroimaging researchLikelihood of replicationEvidence-based treatmentsNeuroimaging researchEffect size estimatesSubstance useDirection of associationAnatomical locusBrain functionTreatment outcomesModeling findingsClinical samplesNovel subjectRelapse rateClinical outcomesPredictive modeling approachUnsuccessful treatmentLeading causeIndividualsClinical settingParticular riskSize estimatesOutcomesA decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis
Noble S, Scheinost D, Constable RT. A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis. NeuroImage 2019, 203: 116157. PMID: 31494250, PMCID: PMC6907736, DOI: 10.1016/j.neuroimage.2019.116157.Peer-Reviewed Original ResearchMeSH KeywordsBrainBrain MappingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeural PathwaysReproducibility of ResultsConceptsIntraclass correlation coefficientTest-retest reliabilityFunctional connectivitySystematic reviewShort test-retest intervalsTest-retest reliability studyIndividual edgesNarrative summaryTest-retest intervalSearch of ScopusMeta-analytic estimatesCortical edgeRandom effectsQualitative reviewNeuroscience toolsReviewActive recordingReview of factorsExpense of validitySubject dataStudyMultivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors
Yoo K, Rosenberg MD, Noble S, Scheinost D, Constable RT, Chun MM. Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors. NeuroImage 2019, 197: 212-223. PMID: 31039408, PMCID: PMC6591084, DOI: 10.1016/j.neuroimage.2019.04.060.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainConnectomeFemaleHumansIndividualityIntelligenceMagnetic Resonance ImagingMaleMiddle AgedMultivariate AnalysisNeural PathwaysReproducibility of ResultsConceptsFunctional brain organizationFunctional connectivityFunctional connectivity featuresTest-retest sampleMultivariate functional connectivityCognitive skillsMental representationsIndividual differencesFMRI measuresBrain organizationBrain statesStrong predictionSpatial activity patternsFMRI datasetsConnectivity featuresIndividual behaviorProject samplesConnectivity estimatesTimecoursesActivity patternsCognitionPearson correlationIndividualsConnectivityUnivariate approach
2017
Considering factors affecting the connectome-based identification process: Comment on Waller et al.
Horien C, Noble S, Finn ES, Shen X, Scheinost D, Constable RT. Considering factors affecting the connectome-based identification process: Comment on Waller et al. NeuroImage 2017, 169: 172-175. PMID: 29253655, PMCID: PMC5856612, DOI: 10.1016/j.neuroimage.2017.12.045.Peer-Reviewed Original ResearchConnectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets
Yoo K, Rosenberg MD, Hsu WT, Zhang S, Li CR, Scheinost D, Constable RT, Chun MM. Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets. NeuroImage 2017, 167: 11-22. PMID: 29122720, PMCID: PMC5845789, DOI: 10.1016/j.neuroimage.2017.11.010.Peer-Reviewed Original ResearchInfluences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility
Noble S, Spann MN, Tokoglu F, Shen X, Constable RT, Scheinost D. Influences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility. Cerebral Cortex 2017, 27: 5415-5429. PMID: 28968754, PMCID: PMC6248395, DOI: 10.1093/cercor/bhx230.Peer-Reviewed Original Research
2016
Multisite reliability of MR-based functional connectivity
Noble S, Scheinost D, Finn ES, Shen X, Papademetris X, McEwen SC, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Olvet DM, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Seidman LJ, Thermenos H, Tsuang MT, van Erp TGM, Walker EF, Hamann S, Woods SW, Cannon TD, Constable RT. Multisite reliability of MR-based functional connectivity. NeuroImage 2016, 146: 959-970. PMID: 27746386, PMCID: PMC5322153, DOI: 10.1016/j.neuroimage.2016.10.020.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainBrain MappingFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMulticenter Studies as TopicNeural PathwaysReproducibility of ResultsYoung AdultConceptsNorth American Prodrome Longitudinal StudyRight motor cortexIntrinsic connectivity distributionPosterior cingulate cortexFunctional connectivity studiesFunctional connectivity measurementsMultisite studyVoxel-wise connectivityConnectivity studiesConnectivity measuresSeed-based connectivityConnectivity analysisMotor cortexHealthy cohortCingulate cortexScan durationSingle-subject levelFcMRI dataFunctional connectivityConnectivity measurementsClinical populationsLittle dataLongitudinal studyMultisite reliabilityScanner manufacturers
2015
A neuromarker of sustained attention from whole-brain functional connectivity
Rosenberg MD, Finn ES, Scheinost D, Papademetris X, Shen X, Constable RT, Chun MM. A neuromarker of sustained attention from whole-brain functional connectivity. Nature Neuroscience 2015, 19: 165-171. PMID: 26595653, PMCID: PMC4696892, DOI: 10.1038/nn.4179.Peer-Reviewed Original Research
2012
CT‐PET weighted image fusion for separately scanned whole body rat
Suh JW, Kwon O, Scheinost D, Sinusas AJ, Cline GW, Papademetris X. CT‐PET weighted image fusion for separately scanned whole body rat. Medical Physics 2012, 39: 533-542. PMID: 22225323, PMCID: PMC3266828, DOI: 10.1118/1.3672167.Peer-Reviewed Original ResearchConceptsEmission PET imagesInput imageRegistration processMultimodal registrationRegistration methodMultiple input imagesImage fusion applicationsImage fusion techniqueDistance similarity measureNormalized mutual informationComplementary anatomic informationDeformable registration processCT imagesSeparate scannersInformative imagesPET imagesImage fusionSimilarity measureFusion techniqueHistogram matchingImage setsPositron emission tomography (PET) imagesImage characteristicsNonrigid changesMutual information
2009
A Non-rigid Registration Method for Serial microCT Mouse Hindlimb Images
Suh JW, Scheinost D, Dione DP, Dobrucki LW, Sinusas AJ, Papademetris X. A Non-rigid Registration Method for Serial microCT Mouse Hindlimb Images. Lecture Notes In Computer Science 2009, 12: 688-695. PMID: 20426048, PMCID: PMC2856964, DOI: 10.1007/978-3-642-04268-3_85.Peer-Reviewed Original Research