2025
Using twin-pairs to assess potential bias in polygenic prediction of externalising behaviours across development
Bright J, Rayner C, Freeman Z, Zavos H, Ahmadzadeh Y, Viding E, McAdams T. Using twin-pairs to assess potential bias in polygenic prediction of externalising behaviours across development. Molecular Psychiatry 2025, 1-9. PMID: 39972057, DOI: 10.1038/s41380-025-02920-6.Peer-Reviewed Original ResearchPolygenic scoresTwin pairsGenetic influencesPassive gene-environment correlationConduct problemsCallous-unemotional traitsGene-environment correlationADHD-related symptomsGenome-wide association studiesIndirect genetic effectsCU traitsADHD symptomologyExternalising behaviourPost hoc analysisGenomic dataAssociation studiesPolygenic predictionEnvironmental influencesWithin-familyGenetic effectsPost-hocTraitsScoresADHDRGE
2024
Enhanced neurobiological biomarker differentiation for attention-deficit/hyperactivity disorder through a risk-informed design
Duarte I, Hoffmann M, Salum G, Leffa D, Belangero S, Santoro M, Ota V, Ito L, Pan P, Farhat L, Murray A, Miguel E, Kieling C, Rohde L, Caye A. Enhanced neurobiological biomarker differentiation for attention-deficit/hyperactivity disorder through a risk-informed design. European Child & Adolescent Psychiatry 2024, 1-11. PMID: 39625683, DOI: 10.1007/s00787-024-02622-4.Peer-Reviewed Original ResearchNeurobiological measuresADHD polygenic scoresBrazilian High-Risk CohortAttention-deficit/hyperactivity disorderPoorer executive functionPolygenic scoresADHD symptomsExecutive functionHigh-risk subgroupsAttention-deficit/hyperactivitySubcortical volumesHigh-risk cohortMental disordersADHD casesEffect sizeADHDMental conditionDifferential riskClinical practiceRisk cohortBiomarkers to clinical practiceLow-risk groupCalculated riskParticipantsAdolescentsPharmacological Interventions for Attention-Deficit/Hyperactivity Disorder in Children and Adolescents with Tourette Disorder: A Systematic Review and Network Meta-Analysis
Farhat L, Behling E, Landeros-Weisenberger A, de Barros P, Polanczyk G, Cortese S, Bloch M. Pharmacological Interventions for Attention-Deficit/Hyperactivity Disorder in Children and Adolescents with Tourette Disorder: A Systematic Review and Network Meta-Analysis. Journal Of Child And Adolescent Psychopharmacology 2024, 34: 373-382. PMID: 39320340, PMCID: PMC11807863, DOI: 10.1089/cap.2024.0049.Peer-Reviewed Original ResearchADHD symptomsAttention-deficit/hyperactivity disorderTic severityTourette's disorderAttention-deficit/hyperactivityRandomized controlled trialsA2 agonistPharmacological interventionsADHD symptom severityIncreased tic severityPersistent tic disordersNetwork meta-analysisStandardized mean differencePairs of medicationsEfficacy of pharmacological interventionsWorsen ticsRandom-effects network meta-analysisSymptom severityTic disordersADHDMeta-analysisNetwork meta-analysis frameworkCertainty of evidenceDisordersNetwork meta-analysesIndividualized prediction models in ADHD: a systematic review and meta-regression
Salazar de Pablo G, Iniesta R, Bellato A, Caye A, Dobrosavljevic M, Parlatini V, Garcia-Argibay M, Li L, Cabras A, Haider Ali M, Archer L, Meehan A, Suleiman H, Solmi M, Fusar-Poli P, Chang Z, Faraone S, Larsson H, Cortese S. Individualized prediction models in ADHD: a systematic review and meta-regression. Molecular Psychiatry 2024, 29: 3865-3873. PMID: 38783054, PMCID: PMC11609101, DOI: 10.1038/s41380-024-02606-5.Peer-Reviewed Original ResearchArea under the curvePrediction model Risk Of Bias ASsessment ToolRisk of biasClinical predictorsMeta-regressionClinical practiceLow risk of biasStudy risk of biasSystematic reviewRisk of bias assessment toolHigh risk of biasBias assessment toolDiagnosis of ADHDTreatment of ADHDPrediction Model RiskTreatment responseExternally validated modelsLow riskHigh riskImplementation researchCognitive predictorsStudy qualityADHDAssessment toolStudy risk73. Preliminary Efficacy Findings for a Placebo Controlled Randomized Clinical Trial of a Novel Executive Working Memory Training Intervention for Adolescents With ADHD
Sullivan A, Anderson J, Beatty M, Choi J, Jaccard J, Pearlson G, Stevens M. 73. Preliminary Efficacy Findings for a Placebo Controlled Randomized Clinical Trial of a Novel Executive Working Memory Training Intervention for Adolescents With ADHD. Biological Psychiatry 2024, 95: s129. DOI: 10.1016/j.biopsych.2024.02.308.Peer-Reviewed Original Research76. Better Learning Performance is Differentially Related to Neural Responses to Unsigned Prediction Errors Across Age in ADHD and Typically-Developing Adolescents
Chase H, Treadway M, Stevens M. 76. Better Learning Performance is Differentially Related to Neural Responses to Unsigned Prediction Errors Across Age in ADHD and Typically-Developing Adolescents. Biological Psychiatry 2024, 95: s130. DOI: 10.1016/j.biopsych.2024.02.311.Peer-Reviewed Original Research10. Shared and Distinct Alterations in Brain Structure of Children and Adolescents with Internalising or Externalising Disorders: Findings From the ENIGMA Antisocial Behavior, ADHD, MDD and Anxiety Working Groups
Townend S, Staginnus M, Gao Y, Franke B, Hoogman M, Schmaal L, Veltman D, Pozzi E, Bas-Hoogendam J, Groenewold N, Stein D, van der Wee N, Aghajani M, Cecil C, Klapwijk E, Baskin-Sommers A, Pine D, Thomopoulos S, Jahanshad N, Thompson P, Walton E, De Brito S, Fairchild G. 10. Shared and Distinct Alterations in Brain Structure of Children and Adolescents with Internalising or Externalising Disorders: Findings From the ENIGMA Antisocial Behavior, ADHD, MDD and Anxiety Working Groups. Biological Psychiatry 2024, 95: s78. DOI: 10.1016/j.biopsych.2024.02.188.Peer-Reviewed Original ResearchIs waiting for rewards good for you? No association between impulsive choice, psychopathology, and functional outcomes in a large cohort sample
Bado P, Salum G, Rohde L, Gadelha A, Pan P, Miguel E, Tripp G, Furukawa E. Is waiting for rewards good for you? No association between impulsive choice, psychopathology, and functional outcomes in a large cohort sample. JCPP Advances 2024, 4: e12231. PMID: 38827985, PMCID: PMC11143955, DOI: 10.1002/jcv2.12231.Peer-Reviewed Original ResearchDelayed rewardsPsychiatric conditionsPresence of psychiatric disordersLife outcomesBaseline task performanceImpulsive choicePositive long-term outcomesImmediate rewardsPsychiatric disordersTask performanceADHDResults ChildrenRewardChildren's preferencesStronger preferenceSchool-based cohortDisordersLongitudinal outcomesCohort sampleFunctional outcomesChildrenCohort of Brazilian childrenBrazilian childrenPsychopathologyDiverse populationsGenetic contribution to the comorbidity between attention-deficit/hyperactivity disorder and substance use disorders
Koller D, Mitjans M, Kouakou M, Friligkou E, Cabrera-Mendoza B, Deak J, Llonga N, Pathak G, Stiltner B, Løkhammer S, Levey D, Zhou H, Hatoum A, Kember R, Kranzler H, Stein M, Corominas R, Demontis D, Artigas M, Ramos-Quiroga J, Gelernter J, Ribasés M, Cormand B, Polimanti R. Genetic contribution to the comorbidity between attention-deficit/hyperactivity disorder and substance use disorders. Psychiatry Research 2024, 333: 115758. PMID: 38335780, PMCID: PMC11157987, DOI: 10.1016/j.psychres.2024.115758.Peer-Reviewed Original ResearchConceptsUse disorderGenome-wide association studiesGenomic structural equation modelingCannabis use disorderAlcohol Use Disorders Identification TestAttention-deficit/hyperactivity disorderAlcohol use disorderProblematic alcohol useSubstance use disordersTwo-sample Mendelian randomization analysisLinkage disequilibrium score regression analysisDisorders Identification TestMendelian randomization analysisAssociated with increased oddsOdds of ADHDOpioid use disorderAttention-deficit/hyperactivityGWAS meta-analysesAlcohol dependenceStructural equation modelingNicotine dependenceInvestigate genetic correlationsADHDPolygenic riskStrength of evidencePrevalence of bias against neurodivergence‐related terms in artificial intelligence language models
Brandsen S, Chandrasekhar T, Franz L, Grapel J, Dawson G, Carlson D. Prevalence of bias against neurodivergence‐related terms in artificial intelligence language models. Autism Research 2024, 17: 234-248. PMID: 38284311, DOI: 10.1002/aur.3094.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderGroup of wordsControl sentencesTest wordsAutistic individualsAutismSentencesWordsAverage associationNegative conceptNegative associationStrength of associationLevel of biasPrevalence of biasAssociated with groupsArtificial intelligenceSchizophreniaADHDEncodingBiasAssociationDisordersNeurodiversityDisabilityModel encodingAutism Spectrum Disorder (ASD)
Rutten M, Zhong J, Rolison M, Sukhodolsky D. Autism Spectrum Disorder (ASD). 2024 DOI: 10.1016/b978-0-323-95702-1.00076-2.ChaptersAutism spectrum disorderSeverity of core symptomsIdentity-first languagePerson-first languageCore symptomsPsychiatric disordersRestricted interestsIntellectual disabilityRepetitive behaviorsSpectrum disorderSensory sensitivityNeurodevelopmental disordersSocial communicationAutismEnvironmental risk factorsAutism communityPharmacological interventionsDisordersAdvanced parental ageParental ageADHDAnxietyLanguagePhenotypic presentationDisabilityExecutive functioning in children with ADHD Investigating the cross-method correlations between performance tests and rating scales
Olsen K, Sukhodolsky D, Bikic A. Executive functioning in children with ADHD Investigating the cross-method correlations between performance tests and rating scales. Scandinavian Journal Of Child And Adolescent Psychiatry And Psychology 2024, 12: 1-9. PMID: 38645570, PMCID: PMC11027034, DOI: 10.2478/sjcapp-2024-0001.Peer-Reviewed Original ResearchCambridge Neuropsychological Test Automated BatteryChildren’s Organizational Skills ScaleBehavior Rating Inventory of Executive FunctionExecutive functionRating ScaleCognitive testsExecutive dysfunctionEcological validityCognitive tests of EFComposite scaleEF rating scalesTests of EFADHD-Inattentive subtypeBehavior Rating InventorySample of childrenLevel of ecological validityADHD subtypesEF testsEF behaviorsBRIEF compositesADHDReplication evidenceSubscalesUnder-constructionChild sex
2023
Risk of Attention-Deficit/Hyperactivity Disorder, Autism Spectrum Disorder, and Executive Function Impairment in Metopic Craniosynostosis
Almeida M, Alper D, Long A, Barrero C, Williams M, Boroumand S, Glahn J, Shah J, Swanson J, Alperovich M. Risk of Attention-Deficit/Hyperactivity Disorder, Autism Spectrum Disorder, and Executive Function Impairment in Metopic Craniosynostosis. Plastic & Reconstructive Surgery 2023, 154: 979e-992e. PMID: 38113367, DOI: 10.1097/prs.0000000000011249.Peer-Reviewed Original ResearchWorse executive functionExecutive functionConners 3Behavioral ChecklistBehavior Rating InventoryBehavioral impairmentsExecutive function impairmentAutism spectrum disorderExecutive function subscalesNd editionChild Behavioral ChecklistSignificant behavioral impairmentSchool-aged childrenBRIEF-2Common behavioral abnormalitiesRating InventoryInterpersonal successSpectrum disorderRisk of ADHDHyperactivity subscaleNeurocognitive testingAge childrenBehavioral dysfunctionBehavioral functionsADHDNeurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort
He Q, Keding T, Zhang Q, Miao J, Russell J, Herringa R, Lu Q, Travers B, Li J. Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort. Journal Of Neurodevelopmental Disorders 2023, 15: 30. PMID: 37653373, PMCID: PMC10469494, DOI: 10.1186/s11689-023-09498-6.Peer-Reviewed Original ResearchConceptsADHD polygenic scoresDorsolateral prefrontal cortexADHD outcomesPolygenic scoresIA symptomsHyperactivity-impulsivity symptomsMultiple mediation modelIndirect effectsPhiladelphia Neurodevelopmental CohortBrain volumeInferior temporal lobeBrain-based biomarkersADHD inattentionGray matter volumeADHD symptomsHI symptomsMediation modelAngular gyrusNeurobiological mechanismsNeurodevelopmental CohortADHDPrefrontal cortexInattentionTemporal lobeBrain regionsUsing micro-cognition biomarkers of neurosystem dysfunction to redefine ADHD subtypes: A scalable digital path to diagnosis based on brain function
Wexler B, Kish R. Using micro-cognition biomarkers of neurosystem dysfunction to redefine ADHD subtypes: A scalable digital path to diagnosis based on brain function. Psychiatry Research 2023, 326: 115348. PMID: 37494880, PMCID: PMC10517859, DOI: 10.1016/j.psychres.2023.115348.Peer-Reviewed Original ResearchConceptsPoor response inhibitionResponse inhibitionSymptom-based diagnosisGO/NOGO testMarked performance decrementsNew treatment developmentTD childrenADHD childrenADHD subtypesPerformance decrementsInconsistent attentionAbstract categoriesTreatment developmentNatural categoriesBrain functionADHDDifferent neuropathologiesChildren 6Individual patientsTreatment selectionDeep Action Recognition for Cognitive Assessment
Elmi S, Bell M. Deep Action Recognition for Cognitive Assessment. 2023, 329-334. DOI: 10.1145/3594806.3594813.Peer-Reviewed Original ResearchExecutive functioningCognitive AssessmentAction recognitionHuman action recognitionAction informationAccuracy scoresSkeleton-based action recognitionRhythm scoresFunctioningHuman body jointsHuman poseRecognitionMental diseasesADHDScoresSchizophreniaBody jointsDifferent datasetsReal-world applicationsAttentionAssessmentPsychiatristsA pilot exploration of ADHD symptoms in hoarding disorder: Co-occurring disorders or part of the hoarding syndrome?
Worden B, Tolin D. A pilot exploration of ADHD symptoms in hoarding disorder: Co-occurring disorders or part of the hoarding syndrome? Journal Of Affective Disorders Reports 2023, 13: 100588. DOI: 10.1016/j.jadr.2023.100588.Peer-Reviewed Original ResearchADHD symptomsAttentional symptomsHigher ADHD symptomsSpecific ADHD symptomsChildhood ADHD symptomsSubscale itemsHigh co-occurrence rateInattentive symptomsChildhood ADHDCo-occurring disordersADHDRetrospective ratingsCo-occurrence ratesResults IndividualsOCDHealthy controlsInattentionSample of patientsPilot explorationIndividualsDisordersItemsImpulsivityHD diagnosisSymptomsPolygenic risk score for attention‐deficit/hyperactivity disorder and brain functional networks segregation in a community‐based sample
Sato J, Biazoli C, Bueno A, Caye A, Pan P, Santoro M, Honorato‐Mauer J, Salum G, Hoexter M, Bressan R, Jackowski A, Miguel E, Belangero S, Rohde L. Polygenic risk score for attention‐deficit/hyperactivity disorder and brain functional networks segregation in a community‐based sample. Genes Brain & Behavior 2023, 22: e12838. PMID: 36811275, PMCID: PMC10067387, DOI: 10.1111/gbb.12838.Peer-Reviewed Original ResearchConceptsCingulo-opercular networkDefault mode networkADHD-PRSAttentional networksFunctional segregationAttention-deficit/hyperactivity disorder (ADHD) symptomsAttention-deficit/hyperactivity disorderLarge-scale brain networksADHD polygenic risk scoresHyperactivity disorder symptomsSegregation of networksFunctional network segregationLongitudinal community-based cohortAttentional processesRs-fMRI dataExecutive functionHyperactivity disorderDisorder symptomsBrain networksCommunity-based sampleProbable ADHDADHDNetwork segregationPolygenic risk scoresDirection of association
2022
Memory training with the method of loci for children and adolescents with ADHD—A feasibility study
Ruchkin V, Wallonius M, Odekvist E, Kim S, Isaksson J. Memory training with the method of loci for children and adolescents with ADHD—A feasibility study. Applied Neuropsychology Child 2022, 13: 137-145. PMID: 36344263, DOI: 10.1080/21622965.2022.2141120.Peer-Reviewed Original ResearchMethod of lociPost-intervention ratingsMemory trainingMemory testADHD symptomsLack of motivationLack of routinesADHDPotential distractionDuration of trainingFuture researchParticipantsDistractionTrainingAdolescentsChildrenDay lifeQualitative dataContent analysisMotivationPeersParentsRatingsBaseline levelsInterventionDeep-Cogn: Skeleton-based Human Action Recognition for Cognitive Behavior Assessment
Elmi S, Bell M, Tan K. Deep-Cogn: Skeleton-based Human Action Recognition for Cognitive Behavior Assessment. 2022, 00: 692-699. DOI: 10.1109/ictai56018.2022.00107.Peer-Reviewed Original ResearchExecutive functioningHuman action recognitionAction recognitionCognitive AssessmentAction informationAccuracy scoresSkeleton-based action recognitionRhythm scoresFunctioningBehavior assessmentHuman body jointsRecognitionHuman poseMental diseasesADHDScoresSchizophreniaBody jointsDifferent datasetsReal-world applicationsAttentionAssessmentPsychiatristsWorld applications
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