2025
Heterogeneity in Developmental Trajectories of Internalizing and Externalizing Symptomatology: Associations with Risk and Protective Factors
Brieant A, Cai T, Ip K, Holt-Gosselin B, Gee D. Heterogeneity in Developmental Trajectories of Internalizing and Externalizing Symptomatology: Associations with Risk and Protective Factors. Child Psychiatry & Human Development 2025, 1-12. PMID: 39786680, DOI: 10.1007/s10578-024-01804-0.Peer-Reviewed Original ResearchAdolescent Brain Cognitive DevelopmentHigh-decreasing classModerate-increasing classTrajectories of psychopathologyNegative life eventsLow-stable classSample of youthLow-decreasing classGrowth mixture modelingProtective factorsExternalizing symptomatologyPsychopathological trajectoriesExternalizing symptomsProportion of youthLife eventsDevelopmental trajectoriesPsychopathologyCognitive developmentExternalizing trajectoriesTrajectory classesParental acceptanceLatent classesDevelopmental patternsInternational trajectoriesCo-development
2024
Online social activity time predicts ADHD problems in youth from late childhood to early adolescence in the ABCD study
Deng H, Song K, Geng X, Xu L, Zhang J, Li X, He J, Potenza M, Zhang J. Online social activity time predicts ADHD problems in youth from late childhood to early adolescence in the ABCD study. European Child & Adolescent Psychiatry 2024, 1-10. PMID: 39724179, DOI: 10.1007/s00787-024-02620-6.Peer-Reviewed Original ResearchAttention-deficit/hyperactivity disorder problemsAttention-deficit/hyperactivity disorderAdolescent Brain Cognitive DevelopmentEarly adolescenceRandom intercept cross-lagged panel modelDevelopment of attentional processesAdolescent Brain Cognitive Development StudyAdolescent Brain Cognitive Development dataCross-lagged panel modelLongitudinal bidirectional associationsCross-lagged effectsModerating effectPotential moderating effectsADHD problemsRI-CLPMTargeting of interventionsAttentional processesAttention-deficit/hyperactivityModeration analysisBidirectional associationsCognitive developmentLate childhoodLongitudinal associationsChild sexSocial interactionDigital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations
Liu J, Borsari B, Li Y, Liu S, Gao Y, Xin X, Lou S, Jensen M, Garrido-Martín D, Verplaetse T, Ash G, Zhang J, Girgenti M, Roberts W, Gerstein M. Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations. Cell 2024, 188: 515-529.e15. PMID: 39706190, DOI: 10.1016/j.cell.2024.11.012.Peer-Reviewed Original ResearchGenome-wide association studiesCase-control genome-wide association studyMultivariate genome-wide association studyGenetic lociAssociation studiesGenetic dataGenetic associationPhenotypeGeneticsEnvironmental factorsDetection powerElfn1Adolescent Brain Cognitive DevelopmentLociGenesPsychiatric disordersADORA3Digital phenotypingNeuroimaging Correlates of the NIH-Toolbox-Driven Cognitive Metrics in Children
Acosta-Rodriguez H, Yuan C, Bobba P, Stephan A, Zeevi T, Malhotra A, Tran A, Kaltenhauser S, Payabvash S. Neuroimaging Correlates of the NIH-Toolbox-Driven Cognitive Metrics in Children. Journal Of Integrative Neuroscience 2024, 23: 217. PMID: 39735971, PMCID: PMC11851640, DOI: 10.31083/j.jin2312217.Peer-Reviewed Original ResearchConceptsCognitive composite scoreAdolescent Brain Cognitive DevelopmentFluid cognition composite scoresStructural magnetic resonance imagingComposite scoreDiffusion tensor imagingNeuroimaging correlatesCognitive functionRs-fMRINational Institutes of Health (NIH) Toolbox Cognition BatteryCognitive scoresMicrostructural integrityResting-state functional connectivityCrystallized cognition composite scoreCortical surface areaTotal cognitive scoreWM microstructural integrityCognitive batteryCrystallized cognitionNeuroanatomical correlatesWhite matterCognitive performanceNeuroimaging metricsFunctional connectivityNeuroimaging dataBayesian subtyping for multi-state brain functional connectome with application on preadolescent brain cognition
Chen T, Zhao H, Tan C, Constable T, Yip S, Zhao Y. Bayesian subtyping for multi-state brain functional connectome with application on preadolescent brain cognition. Biostatistics 2024, 26: kxae045. PMID: 39656842, PMCID: PMC11823269, DOI: 10.1093/biostatistics/kxae045.Peer-Reviewed Original ResearchAdolescent Brain Cognitive DevelopmentVariational inference algorithmApproximate posterior inferenceFunctional connectivityMultiple cognitive statesInference algorithmExtensive simulationsNetwork topologyNetwork featuresFunctional network patternsBrain functional connectomeBrain functional connectivityEstimation accuracySubgroups of individualsNeurobiological heterogeneityCognitive profileCognitive statesConverging evidencePosterior inferenceDetection alternativesNeuroscience literatureBrain cognitionFunctional connectomeNetworkCognitive developmentLinking neuroimaging and mental health data from the ABCD Study to UrbanSat measurements of macro environmental factors
Goldblatt R, Holz N, Tate G, Sherman K, Ghebremicael S, Bhuyan S, Al-Ajlouni Y, Santillanes S, Araya G, Abad S, Herting M, Thompson W, Thapaliya B, Sapkota R, Xu J, Liu J, Schumann G, Calhoun V. Linking neuroimaging and mental health data from the ABCD Study to UrbanSat measurements of macro environmental factors. Nature Mental Health 2024, 2: 1285-1297. DOI: 10.1038/s44220-024-00318-x.Peer-Reviewed Original ResearchSymptoms of mental illnessAdolescent Brain Cognitive DevelopmentResidential addressesAdolescent Brain Cognitive Development StudyMental illnessMental healthSubject's residential addressMental health dataDevelopmental periods of childhoodChild healthHealth dataEnvironmental factorsBaseline visitPeriod of childhoodObservational studyPopulation characteristicsHealthIndividual symptomsStudy dataUrban livingIllnessNeurobehavioral researchBrain structuresCognitive developmentAdolescents8256 Early Life Stress and Pubertal Predictors of Youth Substance Use Initiation: Does Sex Moderate the Relationship Between ELS, Puberty, and Substance Use Initiation?
Donovan A, Assari S, Shaheen M, Grella C, Richter L, Friedman T. 8256 Early Life Stress and Pubertal Predictors of Youth Substance Use Initiation: Does Sex Moderate the Relationship Between ELS, Puberty, and Substance Use Initiation? Journal Of The Endocrine Society 2024, 8: bvae163.1194. PMCID: PMC11455193, DOI: 10.1210/jendso/bvae163.1194.Peer-Reviewed Original ResearchEarly life stressAdolescent Brain Cognitive DevelopmentSubstance use initiationSubstance use disordersLife stressInteraction of early life stressEffects of early life stressHistory of early life stressSubstance useRates of substance use disordersInitiation of substance usePubertal Development ScaleExperiences of abuseHealth behavior outcomesParent reportBehavioral outcomesCognitive developmentSex differencesPDS scoresIncreased risk of initiationSalivary estradiolSex hormonesFemale adolescentsDevelopment ScaleRisk of initiationClassification of Suicide Attempt Risk Using Environmental and Lifestyle Factors in 3 Large Youth Cohorts
Visoki E, Moore T, Zhang X, Tran K, Ly C, Gataviņš M, DiDomenico G, Brogan L, Fein J, Warrier V, Guloksuz S, Barzilay R. Classification of Suicide Attempt Risk Using Environmental and Lifestyle Factors in 3 Large Youth Cohorts. JAMA Psychiatry 2024, 81: 1020-1029. PMID: 39018056, PMCID: PMC11255979, DOI: 10.1001/jamapsychiatry.2024.1887.Peer-Reviewed Original ResearchMillennium Cohort StudyExposome scoreLifestyle factorsAdolescent Brain Cognitive DevelopmentCohort studyExposome-wide association studyAssociated with suicide attemptsUK Millennium Cohort StudyNational longitudinal cohortSuicide attemptsProtective exposuresLogistic regression modelsFamily history of suicideRisk classificationAdolescent Brain Cognitive Development StudyUS hospitalsEnvironmental/lifestyle factorsEmergency departmentTest associationsHistory of suicidePopulation settingCause of deathUS adolescentsFamily historyLongitudinal cohortEfficient federated learning for distributed neuroimaging data
Thapaliya B, Ohib R, Geenjaar E, Liu J, Calhoun V, Plis S. Efficient federated learning for distributed neuroimaging data. Frontiers In Neuroinformatics 2024, 18: 1430987. PMID: 39315000, PMCID: PMC11416982, DOI: 10.3389/fninf.2024.1430987.Peer-Reviewed Original ResearchFederated learningCommunication overheadsSparse modelModel sparsityClient siteTraining phaseAdolescent Brain Cognitive DevelopmentData sharingEfficient communicationLarge modelsLocal trainingResource capabilitiesDatasetCommunicationLearningSparsityActual dataOverheadsPrivacyNeuroimaging dataCognitive developmentDataScientific communitySharingNeurodevelopmental subtypes of functional brain organization in the ABCD study using a rigorous analytic framework
DeRosa J, Friedman N, Calhoun V, Banich M. Neurodevelopmental subtypes of functional brain organization in the ABCD study using a rigorous analytic framework. NeuroImage 2024, 299: 120827. PMID: 39245397, PMCID: PMC11779700, DOI: 10.1016/j.neuroimage.2024.120827.Peer-Reviewed Original ResearchConceptsResting-state functional connectivityAdolescent Brain Cognitive DevelopmentIndividual’s resting-state functional connectivityAdolescent Brain Cognitive Development StudyFunctional brain organizationMental health profilesMental health characteristicsRsFC dataBrain organizationFunctional connectivityDevelopmental trajectoriesChildren aged 9Emotional functioningCognitive developmentLate childhoodAged 9SubtypesAdolescentsHealth characteristicsHealth profileChildhoodLongitudinal tracking of alcohol expectancies and their associations with impulsivity in alcohol naïve youth in the adolescent brain cognitive development (ABCD) study
Adams F, Ferster K, Morris L, Potenza M, Ivanov I, Parvaz M. Longitudinal tracking of alcohol expectancies and their associations with impulsivity in alcohol naïve youth in the adolescent brain cognitive development (ABCD) study. Drug And Alcohol Dependence Reports 2024, 12: 100271. PMID: 39262669, PMCID: PMC11387828, DOI: 10.1016/j.dadr.2024.100271.Peer-Reviewed Original ResearchAdolescent Brain Cognitive DevelopmentAlcohol expectanciesAdolescent Brain Cognitive Development cohortLack of premeditationLack of perseveranceNegative alcohol expectanciesAlcohol use onsetDivergent developmental trajectoriesPositive urgencyBehavioral impulsivitySensation seekingTime-specific associationsCognitive developmentSelf-reportAlcohol useAlcohol initiationDevelopmental aspectsResults FindingsYouth agesLongitudinal developmentImpulseIntervention initiativesReduce underage drinkingAdolescentsYouthCognitive and psychiatric relevance of dynamic functional connectivity states in a large (N > 10,000) children population
Fu Z, Sui J, Iraji A, Liu J, Calhoun V. Cognitive and psychiatric relevance of dynamic functional connectivity states in a large (N > 10,000) children population. Molecular Psychiatry 2024, 30: 402-413. PMID: 39085394, PMCID: PMC11746149, DOI: 10.1038/s41380-024-02683-6.Peer-Reviewed Original ResearchDynamic functional connectivity statesDynamic functional connectivityAdolescent Brain Cognitive DevelopmentCognitive performanceDynamic functional connectivity patternsSensory networksAnalysis of dynamic functional connectivityFunctional connectivity statesDefault-modeNeurological underpinningsAttention problemsPsychiatric relevanceFunctional connectivitySensorimotor networkMediation analysisCognitive developmentChild's brainBrain statesMental healthMental problemsBrain dynamicsSliding-window approachMental behaviorBrainCerebellumGPT-based normative models of brain sMRI correlate with dimensional psychopathology
Mendes S, Pinaya W, Pan P, Gadelha A, Belangero S, Jackowski A, Rohde L, Miguel E, Sato J. GPT-based normative models of brain sMRI correlate with dimensional psychopathology. Imaging Neuroscience 2024, 2: 1-15. DOI: 10.1162/imag_a_00204.Peer-Reviewed Original ResearchAttention deficit hyperactivity disorderChild Behavior ChecklistDeficit hyperactivity disorderAutism spectrum disorderPsychiatric disordersBrain regionsStructural MRIDimensional psychopathologyHyperactivity disorderBrazilian High-Risk Cohort StudyAttention deficit hyperactivity disorder scoresAutism Brain Imaging Data Exchange IIAdolescent Brain Cognitive DevelopmentChild Behavior Checklist scalesHigh Risk Cohort StudyDetect psychiatric symptomsEmergent psychiatric disordersBrain structural MRINeurobiological substratesNeuroimaging studiesLanguage tasksPsychiatric symptomsBehavior ChecklistPsychiatric conditionsSpectrum disorderFamilial risk for depression moderates neural circuitry in healthy preadolescents to predict adolescent depression symptoms in the Adolescent Brain Cognitive Development (ABCD) Study
Holt-Gosselin B, Keding T, Rodrigues K, Rueter A, Hendrickson T, Perrone A, Byington N, Houghton A, Miranda-Dominguez O, Feczko E, Fair D, Joormann J, Gee D. Familial risk for depression moderates neural circuitry in healthy preadolescents to predict adolescent depression symptoms in the Adolescent Brain Cognitive Development (ABCD) Study. Developmental Cognitive Neuroscience 2024, 68: 101400. PMID: 38870601, PMCID: PMC11225685, DOI: 10.1016/j.dcn.2024.101400.Peer-Reviewed Original ResearchAdolescent Brain Cognitive DevelopmentAdolescent depressive symptomsDepressive symptomsFamilial riskFunctional connectivityResting-state FC patternsCognitive developmentFamily history of depressionAdolescent-onset depressionLow familial riskHistory of depressionElevated familial riskMixed-effects regression analysisNucleus accumbensStriatal FCLR youthHR youthSensory/somatomotor networkFC patternsNeural circuitryNeural markersDepression riskDepressionPreadolescentsLongitudinal studyReplication and Refinement of Brain Age Model for Adolescent Development
Ray B, Chen J, Fu Z, Suresh P, Thapaliya B, Farahdel B, Calhoun V, Liu J. Replication and Refinement of Brain Age Model for Adolescent Development. 2024, 00: 1-5. DOI: 10.1109/isbi56570.2024.10635532.Peer-Reviewed Original ResearchBrain age modelAdolescent Brain Cognitive DevelopmentInformation processing speedBrain age gapABCD participantsBrain agingVerbal comprehension abilityEstimated brain ageEstimation of brain ageNeuropsychiatric problemsProcessing speedCognitive developmentAdolescent developmentAge gapComprehension abilityBrain developmentAge rangeBrainChronological ageAdolescentsParticipantsBaselineResearching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design
Gross R, Thaweethai T, Rosenzweig E, Chan J, Chibnik L, Cicek M, Elliott A, Flaherman V, Foulkes A, Witvliet M, Gallagher R, Gennaro M, Jernigan T, Karlson E, Katz S, Kinser P, Kleinman L, Lamendola-Essel M, Milner J, Mohandas S, Mudumbi P, Newburger J, Rhee K, Salisbury A, Snowden J, Stein C, Stockwell M, Tantisira K, Thomason M, Truong D, Warburton D, Wood J, Ahmed S, Akerlundh A, Alshawabkeh A, Anderson B, Aschner J, Atz A, Aupperle R, Baker F, Balaraman V, Banerjee D, Barch D, Baskin-Sommers A, Bhuiyan, Bind M, Bogie A, Bradford T, Buchbinder N, Bueler E, Bükülmez H, Casey B, Chang L, Chrisant M, Clark D, Clifton R, Clouser K, Cottrell L, Cowan K, D’Sa V, Dapretto M, Dasgupta S, Dehority W, Dionne A, Dummer K, Elias M, Esquenazi-Karonika S, Evans D, Faustino E, Fiks A, Forsha D, Foxe J, Friedman N, Fry G, Gaur S, Gee D, Gray K, Handler S, Harahsheh A, Hasbani K, Heath A, Hebson C, Heitzeg M, Hester C, Hill S, Hobart-Porter L, Hong T, Horowitz C, Hsia D, Huentelman M, Hummel K, Irby K, Jacobus J, Jacoby V, Jone P, Kaelber D, Kasmarcak T, Kluko M, Kosut J, Laird A, Landeo-Gutierrez J, Lang S, Larson C, Lim P, Lisdahl K, McCrindle B, McCulloh R, McHugh K, Mendelsohn A, Metz T, Miller J, Mitchell E, Morgan L, Müller-Oehring E, Nahin E, Neale M, Ness-Cochinwala M, Nolan S, Oliveira C, Osakwe O, Oster M, Payne R, Portman M, Raissy H, Randall I, Rao S, Reeder H, Rosas J, Russell M, Sabati A, Sanil Y, Sato A, Schechter M, Selvarangan R, Tejtel S, Shakti D, Sharma K, Squeglia L, Srivastava S, Stevenson M, Szmuszkovicz J, Talavera-Barber M, Teufel R, Thacker D, Trachtenberg F, Udosen M, Warner M, Watson S, Werzberger A, Weyer J, Wood M, Yin H, Zempsky W, Zimmerman E, Dreyer B, Consortium O. Researching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design. PLOS ONE 2024, 19: e0285635. PMID: 38713673, PMCID: PMC11075869, DOI: 10.1371/journal.pone.0285635.Peer-Reviewed Original ResearchConceptsYoung adultsClinical courseAdolescent Brain Cognitive DevelopmentCaregiver-child pairsLong-term outcomesObservational cohort studyOutcomes of COVID-19De novo cohortAdolescent Brain Cognitive Development StudySociodemographic correlatesCommunity partnersBaseline assessmentLongitudinal follow-upPotential therapeutic interventionsPediatric protocolsCohort studyCollaborative partnershipsProspective cohortFollow-upStudy protocolFederal partnersNIH Researching COVIDLong-term outcomes of COVID-19Enhanced recoveryData collectionMultiple marginalization, discrimination, and disordered eating among youth aged 10–11
Boswell R, Launius K, Lydecker J. Multiple marginalization, discrimination, and disordered eating among youth aged 10–11. International Journal Of Eating Disorders 2024, 57: 1783-1790. PMID: 38572625, PMCID: PMC11343651, DOI: 10.1002/eat.24211.Peer-Reviewed Original ResearchExperiences of discriminationSexual orientation discriminationSample of youth agesWeight-based discriminationMultiple marginsGender discriminationVulnerable youthAdolescent Brain Cognitive DevelopmentCross-sectional dataParental incomeYouth agesPoor healthElevated weightIncreased disordered eatingYouthIntervention effortsTreating eating disordersDisordered eatingAssociated with disordered eatingDiscrimination experiencesOrientation discriminationRace/ethnicityIncreased oddsDiscriminationLogistic regressionFunctional MRI of the Brainstem for Assessing Its Autonomic Functions: From Imaging Parameters and Analysis to Functional Atlas
Mohamed A, Kwiatek R, Del Fante P, Calhoun V, Lagopoulos J, Shan Z. Functional MRI of the Brainstem for Assessing Its Autonomic Functions: From Imaging Parameters and Analysis to Functional Atlas. Journal Of Magnetic Resonance Imaging 2024, 60: 1880-1891. PMID: 38339792, DOI: 10.1002/jmri.29286.Peer-Reviewed Original ResearchTemporal signal-to-noise-ratioHuman Connectome ProjectTesla MR scannerT1-weighted imagesFunctional atlasFunctional MRIFunctional MRI protocolROI overlapBrainstem atlasAdolescent Brain Cognitive DevelopmentBrainstem regionsBrainstemAutonomic functionImaging protocolFunctional MRI scansMeta-analysisConnectome ProjectImaging parametersMR scannerMRISignal-to-noise-ratioRoot-mean-square (rmsFunctional MRI data
2022
Family Well‐Being During the COVID‐19 Pandemic: The Risks of Financial Insecurity and Coping
Gonzalez MR, Brown SA, Pelham WE, Bodison SC, McCabe C, Baker FC, Baskin‐Sommers A, Dick AS, Dowling GJ, Gebreselassie S, Guillaume M, Marshall AT, Sheth C, Sowell ER, Van Rinsveld A, Tapert SF. Family Well‐Being During the COVID‐19 Pandemic: The Risks of Financial Insecurity and Coping. Journal Of Research On Adolescence 2022, 33: 43-58. PMID: 35748113, PMCID: PMC9349420, DOI: 10.1111/jora.12776.Peer-Reviewed Original ResearchConceptsAdolescent Brain Cognitive DevelopmentParental alcohol useFamily Well-BeingCognitive developmentMental health supportGreater endorsementWell-BeingPsychosocial factorsFamily relationshipsCOVID-19 pandemicSocial disruptionAlcohol useFinancial adversityGood familyHealth supportFinancial insecurityMaterial hardshipBeingPoor familiesCopingWidespread crisisAdversityAdolescentsEndorsementParentsThe role of perceived threats on mental health, social, and neurocognitive youth outcomes: A multicontextual, person-centered approach.
Conley MI, Hernandez J, Salvati JM, Gee DG, Baskin-Sommers A. The role of perceived threats on mental health, social, and neurocognitive youth outcomes: A multicontextual, person-centered approach. Development And Psychopathology 2022, 35: 689-710. PMID: 35232507, PMCID: PMC9437149, DOI: 10.1017/s095457942100184x.Peer-Reviewed Original ResearchConceptsMental healthAdolescent Brain Cognitive DevelopmentDisruptive behavior symptomsLatent profile analysisPerception of threatPerson-centered approachPoor mental healthCognitive developmentDevelopmental pictureYouth outcomesNeurocognitive difficultiesYouth perceptionsBehavior symptomsSleep problemsLow threatAge 9Age 11Neurocognitive outcomesMultiple domainsMultiple contextsYouth’s neighborhoodsOutcomes 2 yearsDistinct profilesPerceptionYouth environment
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