2024
Association Between Juvenile Psychotic Experiences and Problematic Gaming
Fernandes A, Biokino R, Miguel A, Machado V, Koga G, Fonseca L, Pan P, Roza T, Salum G, Passos I, Rohde L, Miguel E, Ziebold C, Gadelha A. Association Between Juvenile Psychotic Experiences and Problematic Gaming. Schizophrenia Bulletin Open 2024, 5: sgae021. PMID: 39296676, PMCID: PMC11408271, DOI: 10.1093/schizbullopen/sgae021.Peer-Reviewed Original ResearchPsychotic experiencesProblematic gamingGame addictionDSM-IVBrazilian community sampleDSM-IV diagnosisMental health conditionsCommunity samplePsychiatric disordersCross-sectional subsamplePsychiatric conditionsAssociated with significant adverse outcomesReport PEBehavioral pathwaysLevels of PESignificant adverse outcomesAssociated with PEPE scoresSociodemographic variablesAdverse outcomesBrazilian cohortDisordersParticipantsHealth conditionsLinear regression analysis
2021
Predictors of gaming disorder in children and adolescents: a school-based study
Ferreira F, Bambini B, Tonsig G, Fonseca L, Picon F, Pan P, Salum G, Jackowski A, Miguel E, Rohde L, Bressan R, Gadelha A. Predictors of gaming disorder in children and adolescents: a school-based study. Brazilian Journal Of Psychiatry 2021, 43: 289-292. PMID: 32756806, PMCID: PMC8136393, DOI: 10.1590/1516-4446-2020-0964.Peer-Reviewed Original ResearchConceptsMental disordersWell-Being Behavior AssessmentHigh-risk cohortLogistic regression modelsSchool-based studyGaming disorderPsychiatric disordersUnhealthy patternsDisorder ratesSchool-based sampleDisordersSignificant predictorsFurther riskBrazilian High-Risk CohortCommunity sampleHigh rateBehavior changeMore hoursRegression modelsChildrenPredictorsAdolescentsHoursBehavior assessmentPattern variables
2019
Relationships between childhood maltreatment, impairment in executive functions and disruptive behavior disorders in a community sample of children
Bernardes E, Manitto A, Miguel E, Pan P, Batistuzzo M, Rohde L, Polanczyk G. Relationships between childhood maltreatment, impairment in executive functions and disruptive behavior disorders in a community sample of children. European Child & Adolescent Psychiatry 2019, 29: 969-978. PMID: 31559500, DOI: 10.1007/s00787-019-01408-3.Peer-Reviewed Original ResearchConceptsDisruptive behavior disordersExecutive functionChildhood maltreatmentCognitive flexibilityEF performanceCommunity sampleBehavior disorderSchool-based sampleCognitive mechanismsCognitive tasksInhibitory controlDisruptive behaviorChild maltreatmentMaltreatmentWorse performanceMental disordersModeratorChildrenImpairmentDisordersIndependent relationshipMemoryFuture studiesAssociationTask
2017
A General Psychopathology Factor (P Factor) in Children: Structural Model Analysis and External Validation Through Familial Risk and Child Global Executive Function
Martel M, Pan P, Hoffmann M, Gadelha A, do Rosário M, Mari J, Manfro G, Miguel E, Paus T, Bressan R, Rohde L, Salum G. A General Psychopathology Factor (P Factor) in Children: Structural Model Analysis and External Validation Through Familial Risk and Child Global Executive Function. Journal Of Psychopathology And Clinical Science 2017, 126: 137-148. PMID: 27748619, DOI: 10.1037/abn0000205.Peer-Reviewed Original ResearchConceptsChildren's executive functionExecutive functionGlobal executive functionGeneral p factorLittle residual varianceConfirmatory factor analysisChildren ages 6Specific factorsGeneral psychopathology factorFamily riskChild psychopathologyCommunity sampleDisorder diagnostic criteriaMental health researchParental factorsGeneral psychopathologyBest fitting modelPsychopathologyPsychopathology factorAge 6P-factorExternal validityFactor analysisStructured interviewsMental disorders
2016
Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis
Salum G, DeSousa D, Manfro G, Pan P, Gadelha A, Brietzke E, Miguel E, Mari J, do Rosário M, Grassi-Oliveira R. Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis. Trends In Psychiatry And Psychotherapy 2016, 38: 23-32. PMID: 27007940, DOI: 10.1590/2237-6089-2015-0036.Peer-Reviewed Original ResearchConceptsConfirmatory factor analysisChild maltreatmentOppositional defiant disorder/conduct disorderAttention deficit hyperactivity disorderHigher-order confirmatory factor analysisMulti-informant approachDeficit hyperactivity disorderLower-order factorsLarge community sampleMulti-informant survey dataHigher-order factorsFactor analysisMeasures of psychopathologyTeacher-reported scoresOverall child maltreatmentFear disordersProsocial measuresHyperactivity disorderBrief measureDistress disordersCommunity sampleConduct disorderEmotional abuseDivergent validitySexual abuse
2015
Positive Attributes Buffer the Negative Associations Between Low Intelligence and High Psychopathology With Educational Outcomes
Hoffmann M, Leibenluft E, Stringaris A, Laporte P, Pan P, Gadelha A, Manfro G, Miguel E, Rohde L, Salum G. Positive Attributes Buffer the Negative Associations Between Low Intelligence and High Psychopathology With Educational Outcomes. Journal Of The American Academy Of Child & Adolescent Psychiatry 2015, 55: 47-53. PMID: 26703909, PMCID: PMC4695393, DOI: 10.1016/j.jaac.2015.10.013.Peer-Reviewed Original ResearchConceptsNegative educational outcomesConfirmatory factor analysisEducational outcomesPoor academic performanceLow intelligenceHigher psychopathologyAcademic performancePositive attributesNegative school outcomesPsychiatric symptomsHigher psychiatric symptomsDistinct constructsSchool outcomesEducational problemsCommunity sampleDiscriminant validityPsychopathologyNegative effectsFactor analysisIntelligenceMain effectEquation modelNegative associationAttribute changesLow levelsInflammation, neurotrophism and oxidative stress and childhood psychopathology in a large community sample
Cunha G, Asevedo E, Mansur R, Zugman A, Pan P, Gadelha A, Belangero S, Rizzo L, Coelho R, Stertz L, Cogo-Moreira H, Grassi-Oliveira R, Teixeira A, Kauer-Sant'Anna M, Mari J, Miguel E, Bressan R, Brietzke E. Inflammation, neurotrophism and oxidative stress and childhood psychopathology in a large community sample. Acta Psychiatrica Scandinavica 2015, 133: 122-132. PMID: 26139469, DOI: 10.1111/acps.12453.Peer-Reviewed Original ResearchCluster of symptomsChild Behavior ChecklistPsychiatric diagnosisBrain-derived neurotrophic factorLarge community sampleImmune-inflammatory pathwaysEotaxin/CCL11CBCL total scoreWell-Being AssessmentCommunity sampleSchool-based studyIllness severityPeripheral biomarkersIL-6Neurotrophic factorPeripheral bloodMCP-1Older subjectsBehavioral symptomsMental disordersSignificant associationNeurodevelopmental psychopathologySymptomsSpecific disordersTotal score
2014
Decreased centrality of subcortical regions during the transition to adolescence: A functional connectivity study
Sato J, Salum G, Gadelha A, Vieira G, Zugman A, Picon F, Pan P, Hoexter M, Anés M, Moura L, Del’Aquilla M, Crossley N, Amaro E, Mcguire P, Lacerda A, Rohde L, Miguel E, Jackowski A, Bressan R. Decreased centrality of subcortical regions during the transition to adolescence: A functional connectivity study. NeuroImage 2014, 104: 44-51. PMID: 25290886, DOI: 10.1016/j.neuroimage.2014.09.063.Peer-Reviewed Original ResearchConceptsAngular gyrusDevelopmental trajectoriesFunctional magnetic resonance imaging (fMRI) dataBrain developmental trajectoriesBrazilian community sampleBrain maturation processesFunctional connectivity studiesNetwork connectivity changesStructural imaging findingsInhibitory controlSensitive development periodCommunity sampleEmotional changesAbstract thoughtMagnetic resonance imaging dataComplex reasoningFMRI dataCerebellar regionsDevelopmental changesBrain regionsCortical regionsConnectivity changesConnectivity studiesSubcortical regionsAdolescenceAge effects on the default mode and control networks in typically developing children
Sato J, Salum G, Gadelha A, Picon F, Pan P, Vieira G, Zugman A, Hoexter M, Anés M, Moura L, Del'Aquilla M, Amaro E, McGuire P, Crossley N, Lacerda A, Rohde L, Miguel E, Bressan R, Jackowski A. Age effects on the default mode and control networks in typically developing children. Journal Of Psychiatric Research 2014, 58: 89-95. PMID: 25085608, DOI: 10.1016/j.jpsychires.2014.07.004.Peer-Reviewed Original ResearchConceptsDefault mode networkMode networkYears of ageCross-sectional community sampleRight anterior insulaDefault modePosterior temporal cortexDorsal anteriorAge effectsNeurodevelopment studiesHealthy subjectsTemporal cortexPosterior cingulateState fMRI dataAnterior insulaBrain developmentSame acquisition parametersLeft posterior temporal cortexNeuronal modulesState fMRILate childhoodDevelopmental formationBrain networksCommunity sampleField of neuroimaging