2025
Representing brain-behavior associations by retaining high-motion minoritized youth
Ramduny J, Uddin L, Vanderwal T, Feczko E, Fair D, Kelly C, Baskin-Sommers A. Representing brain-behavior associations by retaining high-motion minoritized youth. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2025 PMID: 39921132, DOI: 10.1016/j.bpsc.2025.01.014.Peer-Reviewed Original ResearchBrain-behavior associationsFunctional MRIAdolescent Brain Cognitive Development<sup>SM<Effect sizeHispanic youthInternalizing psychopathologyCognitive performanceParticipant sexFunctional connectivityFMRI dataMinoritized individualsWhite youthHead motionMinoritized youthYouthSources of noisePsychopathologyDiverse populationsRacial/ethnic groupsAssociationPartial Spearman rank correlationsAdolescentsDisproportionate number
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 representationTaskRobust Brain Correlates of Cognitive Performance in Psychosis and Its Prodrome
Ward H, Beermann A, Xie J, Yildiz G, Felix K, Addington J, Bearden C, Cadenhead K, Cannon T, Cornblatt B, Keshavan M, Mathalon D, Perkins D, Seidman L, Stone W, Tsuang M, Walker E, Woods S, Coleman M, Bouix S, Holt D, Öngür D, Breier A, Shenton M, Heckers S, Halko M, Lewandowski K, Brady R. Robust Brain Correlates of Cognitive Performance in Psychosis and Its Prodrome. Biological Psychiatry 2024, 97: 139-147. PMID: 39032726, PMCID: PMC11634655, DOI: 10.1016/j.biopsych.2024.07.012.Peer-Reviewed Original ResearchAuditory continuous performance taskConnectome-wide association studiesEarly psychosisCognitive performanceNorth American Prodrome Longitudinal Study 2At-risk individualsCorrelates of cognitive performanceBrain-cognition relationshipsBrain-phenotype relationshipsBrain-behavior associationsContinuous performance taskEarly-course psychosisLongitudinal Study 2Resting-state fMRIProspective study of individualsHuman Connectome ProjectPsychosis onsetStudy of individualsPsychosisStudy 2Performance tasksNeurocognitive impairmentCognitive instrumentsHealthy participantsRobust associationsNeural Correlates of Novelty-Evoked Distress in 4-Month-Old Infants: A Synthetic Cohort Study
Filippi C, Winkler A, Kanel D, Elison J, Hardiman H, Sylvester C, Pine D, Fox N. Neural Correlates of Novelty-Evoked Distress in 4-Month-Old Infants: A Synthetic Cohort Study. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2024, 9: 905-914. PMID: 38641209, PMCID: PMC11381178, DOI: 10.1016/j.bpsc.2024.03.008.Peer-Reviewed Original ResearchBrain-behavior associationsParent-report measuresInfant temperamentNetwork pairsDorsal attention network connectivityAssessment of infant temperamentParent-reported temperamentAttention network connectivityControl network connectivitySocial anxietyFMRI studyNeural correlatesNeural basisFunctional connectivityParent reportNeuroimaging dataTemperamentAttention-controlComposite scoreDistressNetwork connectivityObservational assessmentNegative associationBehavior estimationDorsalOn the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations
Helmer M, Warrington S, Mohammadi-Nejad A, Ji J, Howell A, Rosand B, Anticevic A, Sotiropoulos S, Murray J. On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations. Communications Biology 2024, 7: 217. PMID: 38383808, PMCID: PMC11245620, DOI: 10.1038/s42003-024-05869-4.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 ResearchConceptsMajor 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 identificationDevelopmental alterations in the neural oscillatory dynamics underlying attentional reorienting
Picci G, Ott L, Petro N, Casagrande C, Killanin A, Rice D, Coutant A, Arif Y, Embury C, Okelberry H, Johnson H, Springer S, Pulliam H, Wang Y, Calhoun V, Stephen J, Heinrichs-Graham E, Taylor B, Wilson T. Developmental alterations in the neural oscillatory dynamics underlying attentional reorienting. Developmental Cognitive Neuroscience 2023, 63: 101288. PMID: 37567094, PMCID: PMC10432959, DOI: 10.1016/j.dcn.2023.101288.Peer-Reviewed Original ResearchConceptsAllocation of attentionBrain regionsFlexible allocation of attentionNetwork of brain regionsProtracted developmental coursePrefrontal brain regionsBrain-behavior associationsFronto-parietal networkHigher-order visual regionsNetwork of regionsAge-related improvementsTheta oscillatory activitySignificant oscillatory responsesNeural oscillatory dynamicsAttentional reorientingBehavioral performanceDevelopmental improvementCognitive processesDevelopmental courseHealthy youthTheta oscillationsVisual regionsMagnetoencephalography dataFunction of ageFlexible allocation
2020
Big data approaches to identifying sex differences in long-term memory
Tejavibulya L, Scheinost D. Big data approaches to identifying sex differences in long-term memory. Cognitive Neuroscience 2020, 12: 185-186. PMID: 33356847, PMCID: PMC8222419, DOI: 10.1080/17588928.2020.1866520.Peer-Reviewed Original ResearchToward identifying reproducible brain signatures of obsessive-compulsive profiles: rationale and methods for a new global initiative
Simpson H, van den Heuvel O, Miguel E, Reddy Y, Stein D, Lewis-Fernández R, Shavitt R, Lochner C, Pouwels P, Narayanawamy J, Venkatasubramanian G, Hezel D, Vriend C, Batistuzzo M, Hoexter M, de Joode N, Costa D, de Mathis M, Sheshachala K, Narayan M, van Balkom A, Batelaan N, Venkataram S, Cherian A, Marincowitz C, Pannekoek N, Stovezky Y, Mare K, Liu F, Otaduy M, Pastorello B, Rao R, Katechis M, Van Meter P, Wall M. Toward identifying reproducible brain signatures of obsessive-compulsive profiles: rationale and methods for a new global initiative. BMC Psychiatry 2020, 20: 68. PMID: 32059696, PMCID: PMC7023814, DOI: 10.1186/s12888-020-2439-2.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingCircuit abnormalitiesNew global initiativesBrain signaturesGlobal InitiativeHealthy control subjectsMedication-free adultsMultiple brain circuitsMedication-free subjectsBackgroundObsessive–compulsive disorderClinical profileClinical symptomsControl subjectsClinical evaluationHealthy controlsLeading causeGlobal disabilityLifetime prevalenceResonance imagingNeurocognitive assessmentBrain circuitsImaging signaturesFunctional connectivityBrain-behavior associationsDisease dimensions
2019
The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder
Lake EMR, Finn ES, Noble SM, Vanderwal T, Shen X, Rosenberg MD, Spann MN, Chun MM, Scheinost D, Constable RT. The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder. Biological Psychiatry 2019, 86: 315-326. PMID: 31010580, PMCID: PMC7311928, DOI: 10.1016/j.biopsych.2019.02.019.Peer-Reviewed Original ResearchConceptsAttention-deficit/hyperactivity disorderAutism spectrum disorderSpectrum disorderFunctional connectivity profilesHyperactivity disorderBrain organizationAutism Brain Imaging Data ExchangeConnectome-based predictive modelingAutism Diagnostic Observation ScheduleAutism spectrum disorder traitsAutism spectrum disorder severitySocial Responsiveness Scale scoresADHD Rating Scale scoresFunctional magnetic resonance imagingBrain-behavior associationsSocial Responsiveness ScaleResting-state functional magnetic resonanceFunctional brain organizationFunctional magnetic resonanceADHD traitsNeurofunctional basisADHD symptomsSplit-half analysisResponsiveness ScaleSocial abilitiesTen simple rules for predictive modeling of individual differences in neuroimaging
Scheinost D, Noble S, Horien C, Greene AS, Lake EM, Salehi M, Gao S, Shen X, O’Connor D, Barron DS, Yip SW, Rosenberg MD, Constable RT. Ten simple rules for predictive modeling of individual differences in neuroimaging. NeuroImage 2019, 193: 35-45. PMID: 30831310, PMCID: PMC6521850, DOI: 10.1016/j.neuroimage.2019.02.057.Peer-Reviewed Original ResearchConceptsBrain-behavior associations
2016
Degree connectivity in body dysmorphic disorder and relationships with obsessive and compulsive symptoms
Beucke J, Sepulcre J, Buhlmann U, Kathmann N, Moody T, Feusner J. Degree connectivity in body dysmorphic disorder and relationships with obsessive and compulsive symptoms. European Neuropsychopharmacology 2016, 26: 1657-1666. PMID: 27514293, PMCID: PMC5316290, DOI: 10.1016/j.euroneuro.2016.04.011.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderBody dysmorphic disorderFunctional magnetic resonance imagingOrbitofrontal cortexDysmorphic disorderSymptom severityFunctional connectivityYale-Brown Obsessive-Compulsive ScaleResting-state functional connectivityDegree connectivityFace processing taskObsessive-Compulsive ScaleBrain-behavior associationsDegree of functional connectivityCompulsive symptomsObsessive-CompulsiveAmygdalar connectivityCompulsive behaviorsObsessive thoughtsBrain hyperactivitySymptom provocationDistant connectionsBrain areasDiagnostic groupsBasal gangliaNeural Mechanisms of Cognitive-Behavioral Therapy for Aggression in Children and Adolescents: Design of a Randomized Controlled Trial Within the National Institute for Mental Health Research Domain Criteria Construct of Frustrative Non-Reward
Sukhodolsky DG, Vander Wyk B, Eilbott JA, McCauley SA, Ibrahim K, Crowley MJ, Pelphrey KA. Neural Mechanisms of Cognitive-Behavioral Therapy for Aggression in Children and Adolescents: Design of a Randomized Controlled Trial Within the National Institute for Mental Health Research Domain Criteria Construct of Frustrative Non-Reward. Journal Of Child And Adolescent Psychopharmacology 2016, 26: 38-48. PMID: 26784537, PMCID: PMC4779273, DOI: 10.1089/cap.2015.0164.Peer-Reviewed Original ResearchConceptsCognitive behavioral therapyReactive aggressionResearch Domain Criteria (RDoC) constructsSessions of CBTEmotional face perceptionEmotion regulation circuitryBrain-behavior associationsAggressive behaviorFunctional magnetic resonanceFace perceptionNon-RewardTraditional diagnostic categoriesNoGo taskFMRI scanningRDoC constructsElectrophysiological correlatesNeural mechanismsCriterion constructsFunctional neuroimagingBehavioral levelStrategic research prioritiesAge 8AggressionAdolescentsSupportive psychotherapy
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