2025
Functional Correlates of Atypical Visuoperceptual Organization in a Multisite Clinical High-Risk Sample
Pokorny V, Tran T, Williams T, Kenney J, Silverstein S, Gold J, Waltz J, Schiffman J, Ellman L, Strauss G, Walker E, Woods S, Powers A, Corlett P, Mittal V. Functional Correlates of Atypical Visuoperceptual Organization in a Multisite Clinical High-Risk Sample. Journal Of Psychopathology And Clinical Science 2025, 134: 527-539. PMID: 40193439, PMCID: PMC12162206, DOI: 10.1037/abn0000992.Peer-Reviewed Original ResearchConceptsClinical high riskPsychotic-like Experiences groupClinical high-risk statusClinical high-risk samplesMeasures of cognitive abilityClinical high-risk groupHigh-risk sampleMeasuring perceptual organizationFaces taskPsychotic disordersPerceptual priorsCognitive abilitiesCognitive functionClinical groupsPerceptual organizationHealthy control groupContext-sensitiveSocial functioningTwo-tone imagesTarget circleSymbolic codeEbbinghausFunctional correlatesTaskParticipantsKleptomania on the impulsive–compulsive spectrum. Clinical and therapeutic considerations for women
Munguía L, Baenas-Soto I, Granero R, Fábregas-Balcells M, Gaspar-Pérez A, Rosinska M, Potenza M, Cuquerella Á, Tapia-Martínez J, Cabús-Grange R, Taranilla-Castro A, Macharé-Alberni M, Talón-Navarro M, Fernández-Aranda F, Jiménez-Murcia S. Kleptomania on the impulsive–compulsive spectrum. Clinical and therapeutic considerations for women. Scientific Reports 2025, 15: 7886. PMID: 40050325, PMCID: PMC11885670, DOI: 10.1038/s41598-025-85705-9.Peer-Reviewed Original ResearchConceptsImpulsive-compulsive spectrumDSM-5 criteriaClinical groupsDSM-5Personality featuresSemi-structured clinical interviewTreatment outcomesHarm avoidance scoresCognitive behavioral treatmentHealthy control individualsSample of female patientsImpact treatment outcomesPoor treatment outcomesCompulsive featuresBehavioral treatmentHigher impulsivityAvoidance scoresClinical interviewKleptomaniaInvestigate treatment outcomesCharacteristics of peopleFemale participantsPsychopathologyClinical samplesTreatment approachesMediating roles of weight stigma and physical activity avoidance in the associations between severity of gaming disorder and levels of physical activity among young adults
Saffari M, Huang C, Huang P, Chang Y, Chen J, Poon W, Potenza M, Griffiths M, Lin C. Mediating roles of weight stigma and physical activity avoidance in the associations between severity of gaming disorder and levels of physical activity among young adults. Journal Of Behavioral Addictions 2025, 14: 289-303. PMID: 39853322, PMCID: PMC11974422, DOI: 10.1556/2006.2024.00083.Peer-Reviewed Original ResearchConceptsPhysical activityWeight stigmaModerate to high PALevels of physical activityPerceived weight stigmaCross-sectional surveyGaming disorderYoung adultsSeverity of gaming disorderStructural equation modelingMultinomial logistic regressionPA levelsLow PAHigh PAAssociated with higher levelsStigmaLogistic regressionMediation analysisTaiwanese young adultsRisk of gaming disorderBehavioral symptomsAssociationClinical groupsActive avoidanceAdultsAn exploration of the relationship between ineffective modes of mentalization and difficulties related to borderline personality disorder: A network approach
Asztalos L, Senra H, O'Driscoll C, Feigenbaum J, Griem J, King-Casas B, Consortium L, Nolte T, Pratt R, Vaziri F, Montague R, Fonagy P. An exploration of the relationship between ineffective modes of mentalization and difficulties related to borderline personality disorder: A network approach. Journal Of Affective Disorders 2025, 374: 225-234. PMID: 39798709, DOI: 10.1016/j.jad.2025.01.031.Peer-Reviewed Original ResearchConceptsBorderline personality disorderBorderline personality disorder diagnosisPersonality disorderMental modeInterpersonal functioningMixed Graphical ModelsClinical groupsStudy evaluated associationsHypermentalizationMentalHypomentalizationModerating variableSecondary data analysisMental challengesDisordersNetwork analysis approachSignificant linkCross-sectional secondary data analysisIndividualsBorderlineDifficultiesMASCCommunity groupsHypothesisGroupOpioid Addiction and Gender Role Conflict: A Comparative Study of Fathers Receiving Treatment for an Opioid Use Disorder
McMahon T. Opioid Addiction and Gender Role Conflict: A Comparative Study of Fathers Receiving Treatment for an Opioid Use Disorder. Psychology Of Men & Masculinity 2025, 26: 61-75. DOI: 10.1037/men0000473.Peer-Reviewed Original ResearchGender role conflictUse disorderOpioid use disorderRole conflictOpioid addictionClinical groupsClinical sample of menRestrictive affectionate behaviorPsychology of menDrug use disordersEthnically diverse sampleSample of menRestrictive emotionalityAffectionate behaviorAnalysis of covarianceEmotional expressionParenting interventionsDiverse sampleInterpersonal relationsClinical samplesAddictionDisordersMasculinity constructsDemographic characteristicsMultinomial logistic analysis
2024
Investigating social orienting in children with Phelan-McDermid syndrome and ‘idiopathic’ autism
San José Cáceres A, Wilkinson E, Cooke J, Baskett V, Blackmore C, Crawley D, Durkin A, Halpern D, Núñez M, Siper P, Murphy D, Foss-Feig J, Kolevzon A, Loth E. Investigating social orienting in children with Phelan-McDermid syndrome and ‘idiopathic’ autism. Journal Of Neurodevelopmental Disorders 2024, 16: 64. PMID: 39563223, PMCID: PMC11575217, DOI: 10.1186/s11689-024-09564-7.Peer-Reviewed Original ResearchConceptsNon-social stimuliPhelan-McDermid syndromeNeurotypical childrenIdiopathic autismAutistic featuresClinical groupsOrienting responseSocial orientationBackgroundPhelan-McDermid syndromeMental ageAutism groupSocial stimuliStimulus typeMotivational difficultiesAutismDevelopmental delay/intellectual disabilityDelayed speechSocial interactionStimuliPMS groupConclusionsThese findingsGroup levelSocial learningChildrenAtypicalityVerbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis
Kennedy E, Liebel S, Lindsey H, Vadlamani S, Lei P, Adamson M, Alda M, Alonso-Lana S, Anderson T, Arango C, Asarnow R, Avram M, Ayesa-Arriola R, Babikian T, Banaj N, Bird L, Borgwardt S, Brodtmann A, Brosch K, Caeyenberghs K, Calhoun V, Chiaravalloti N, Cifu D, Crespo-Facorro B, Dalrymple-Alford J, Dams-O’Connor K, Dannlowski U, Darby D, Davenport N, DeLuca J, Diaz-Caneja C, Disner S, Dobryakova E, Ehrlich S, Esopenko C, Ferrarelli F, Frank L, Franz C, Fuentes-Claramonte P, Genova H, Giza C, Goltermann J, Grotegerd D, Gruber M, Gutierrez-Zotes A, Ha M, Haavik J, Hinkin C, Hoskinson K, Hubl D, Irimia A, Jansen A, Kaess M, Kang X, Kenney K, Keřková B, Khlif M, Kim M, Kindler J, Kircher T, Knížková K, Kolskår K, Krch D, Kremen W, Kuhn T, Kumari V, Kwon J, Langella R, Laskowitz S, Lee J, Lengenfelder J, Liou-Johnson V, Lippa S, Løvstad M, Lundervold A, Marotta C, Marquardt C, Mattos P, Mayeli A, McDonald C, Meinert S, Melzer T, Merchán-Naranjo J, Michel C, Morey R, Mwangi B, Myall D, Nenadić I, Newsome M, Nunes A, O’Brien T, Oertel V, Ollinger J, Olsen A, de la Foz V, Ozmen M, Pardoe H, Parent M, Piras F, Piras F, Pomarol-Clotet E, Repple J, Richard G, Rodriguez J, Rodriguez M, Rootes-Murdy K, Rowland J, Ryan N, Salvador R, Sanders A, Schmidt A, Soares J, Spalleta G, Španiel F, Sponheim S, Stasenko A, Stein F, Straube B, Thames A, Thomas-Odenthal F, Thomopoulos S, Tone E, Torres I, Troyanskaya M, Turner J, Ulrichsen K, Umpierrez G, Vecchio D, Vilella E, Vivash L, Walker W, Werden E, Westlye L, Wild K, Wroblewski A, Wu M, Wylie G, Yatham L, Zunta-Soares G, Thompson P, Pugh M, Tate D, Hillary F, Wilde E, Dennis E. Verbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis. Brain Sciences 2024, 14: 669. PMID: 39061410, PMCID: PMC11274572, DOI: 10.3390/brainsci14070669.Peer-Reviewed Original ResearchAttention-deficit/hyperactivity disorderVerbal learningNeuropsychiatric conditionsTraumatic brain injuryYears of educationMild cognitive impairmentComorbid disordersAttention-deficit/hyperactivityBipolar disorderMemory deficitsMemory performanceMemory recallClinical groupsMega-analysisCognitive impairmentEffects of dementiaAssociated with dementiaMemoryBrain injurySchizophreniaMemory impactDisordersDepressionParkinson's diseaseUnique participants
2023
Anandamide and 2-arachidonoylglycerol baseline plasma concentrations and their clinical correlate in gambling disorder
Baenas I, Solé-Morata N, Granero R, Fernández-Aranda F, Pujadas M, Mora-Maltas B, Lucas I, Gómez-Peña M, Moragas L, del Pino-Gutiérrez A, Tapia J, de la Torre R, Potenza M, Jiménez-Murcia S. Anandamide and 2-arachidonoylglycerol baseline plasma concentrations and their clinical correlate in gambling disorder. European Psychiatry 2023, 66: e97. PMID: 37937379, PMCID: PMC10755577, DOI: 10.1192/j.eurpsy.2023.2460.Peer-Reviewed Original ResearchConceptsHealthy control subjectsPlasma concentrationsBaseline plasma concentrationsPeripheral blood samplesBrain reward pathwaysGambling disorderSemi-structured clinical interviewConcentrations of endocannabinoidsNeuropsychological variablesAddiction-related disordersGD severityClinical correlatesControl subjectsAdult outpatientsEndocannabinoid systemBlood samplesClinical InterviewPlasma AEA concentrationsEndogenous ligandReward pathwayClinical groupsEndocannabinoidsAEA concentrationsPsychometric assessmentNeurobiological substrates
2020
Subcortical Brain Volume, Regional Cortical Thickness, and Cortical Surface Area Across Disorders: Findings From the ENIGMA ADHD, ASD, and OCD Working Groups
Boedhoe PSW, van Rooij D, Hoogman M, Twisk JWR, Schmaal L, Abe Y, Alonso P, Ameis SH, Anikin A, Anticevic A, Arango C, Arnold PD, Asherson P, Assogna F, Auzias G, Banaschewski T, Baranov A, Batistuzzo MC, Baumeister S, Baur-Streubel R, Behrmann M, Bellgrove MA, Benedetti F, Beucke JC, Biederman J, Bollettini I, Bose A, Bralten J, Bramati IE, Brandeis D, Brem S, Brennan BP, Busatto GF, Calderoni S, Calvo A, Calvo R, Castellanos FX, Cercignani M, Chaim-Avancini TM, Chantiluke KC, Cheng Y, Cho KIK, Christakou A, Coghill D, Conzelmann A, Cubillo AI, Dale AM, Dallaspezia S, Daly E, Denys D, Deruelle C, Di Martino A, Dinstein I, Doyle AE, Durston S, Earl EA, Ecker C, Ehrlich S, Ely BA, Epstein JN, Ethofer T, Fair DA, Fallgatter AJ, Faraone SV, Fedor J, Feng X, Feusner JD, Fitzgerald J, Fitzgerald KD, Fouche JP, Freitag CM, Fridgeirsson EA, Frodl T, Gabel MC, Gallagher L, Gogberashvili T, Gori I, Gruner P, Gürsel DA, Haar S, Haavik J, Hall GB, Harrison NA, Hartman CA, Heslenfeld DJ, Hirano Y, Hoekstra PJ, Hoexter MQ, Hohmann S, Høvik MF, Hu H, Huyser C, Jahanshad N, Jalbrzikowski M, James A, Janssen J, Jaspers-Fayer F, Jernigan TL, Kapilushniy D, Kardatzki B, Karkashadze G, Kathmann N, Kaufmann C, Kelly C, Khadka S, King JA, Koch K, Kohls G, Konrad K, Kuno M, Kuntsi J, Kvale G, Kwon JS, Lázaro L, Lera-Miguel S, Lesch KP, Hoekstra L, Liu Y, Lochner C, Louza MR, Luna B, Lundervold AJ, Malpas CB, Marques P, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Mattos P, McCarthy H, McGrath J, Mehta MA, Menchón JM, Mennes M, Martinho MM, Moreira PS, Morer A, Morgado P, Muratori F, Murphy CM, Murphy DGM, Nakagawa A, Nakamae T, Nakao T, Namazova-Baranova L, Narayanaswamy JC, Nicolau R, Nigg JT, Novotny SE, Nurmi EL, Weiss EO, O'Gorman Tuura RL, O'Hearn K, O'Neill J, Oosterlaan J, Oranje B, Paloyelis Y, Parellada M, Pauli P, Perriello C, Piacentini J, Piras F, Piras F, Plessen KJ, Puig O, Ramos-Quiroga JA, Reddy YCJ, Reif A, Reneman L, Retico A, Rosa PGP, Rubia K, Rus OG, Sakai Y, Schrantee A, Schwarz L, Schweren LJS, Seitz J, Shaw P, Shook D, Silk TJ, Simpson HB, Skokauskas N, Soliva Vila JC, Solovieva A, Soreni N, Soriano-Mas C, Spalletta G, Stern ER, Stevens MC, Stewart SE, Sudre G, Szeszko PR, Tamm L, Taylor MJ, Tolin DF, Tosetti M, Tovar-Moll F, Tsuchiyagaito A, van Erp TGM, van Wingen GA, Vance A, Venkatasubramanian G, Vilarroya O, Vives-Gilabert Y, von Polier GG, Walitza S, Wallace GL, Wang Z, Wolfers T, Yoncheva YN, Yun JY, Zanetti MV, Zhou F, Ziegler GC, Zierhut KC, Zwiers MP, Thompson P, Stein D, Buitelaar J, Franke B, van den Heuvel O. Subcortical Brain Volume, Regional Cortical Thickness, and Cortical Surface Area Across Disorders: Findings From the ENIGMA ADHD, ASD, and OCD Working Groups. American Journal Of Psychiatry 2020, 177: 834-843. PMID: 32539527, PMCID: PMC8296070, DOI: 10.1176/appi.ajp.2020.19030331.Peer-Reviewed Original ResearchConceptsAttention deficit hyperactivity disorderAutism spectrum disorderObsessive-compulsive disorderDeficit hyperactivity disorderFrontal cortexCommon neurodevelopmental disorderStandardized processing protocolsStructural brain differencesCortical thickness differencesWhole-brain MRI dataCortical thicknessHyperactivity disorderCortical surface areaSpectrum disorderBrain differencesSmaller hippocampal volumesDifferent age groupsRegional cortical thicknessSubcortical brain volumesClinical groupsStructural brainSmaller intracranial volumeShared differenceNeurodevelopmental disordersHippocampal differences
2019
Comorbidity of reading disabilities and ADHD: Structural and functional brain characteristics
Langer N, Benjamin C, Becker BLC, Gaab N. Comorbidity of reading disabilities and ADHD: Structural and functional brain characteristics. Human Brain Mapping 2019, 40: 2677-2698. PMID: 30784139, PMCID: PMC6508987, DOI: 10.1002/hbm.24552.Peer-Reviewed Original ResearchConceptsAttention-deficit/hyperactivity disorderFunctional magnetic resonance imagingGroup differencesMultiple deficit modelFunctional brain characteristicsWhole-brain analysisOverall group differencesComprehensive behavioral testingCommon developmental disorderPhonological processingFMRI taskExecutive functionNeural correlatesHyperactivity disorderNeural mechanismsSame paradigmClinical groupsDevelopmental disordersDeficit modelBrain characteristicsBrain structuresInterest analysisBrain alterationsBehavioral testingChildren
2018
Variation in the Use of Warfarin and Direct Oral Anticoagulants in Atrial Fibrillation and Associated Cost Implications
Rodwin BA, Salami JA, Spatz ES, Valero-Elizondo J, Virani SS, Blankstein R, Blaha MJ, Nasir K, Desai NR. Variation in the Use of Warfarin and Direct Oral Anticoagulants in Atrial Fibrillation and Associated Cost Implications. The American Journal Of Medicine 2018, 132: 61-70.e1. PMID: 30290193, DOI: 10.1016/j.amjmed.2018.09.026.Peer-Reviewed Original ResearchConceptsDirect oral anticoagulantsUse of DOACsAtrial fibrillationOral anticoagulantsDiseases Ninth Edition (ICD-9) codesPocket costsProportion of patientsUse of warfarinNinth Edition codesMedical Expenditure Panel SurveyPrescription drug useTotal drug expendituresPrescription drug spendingWarfarin useAnticoagulant useNationwide cohortClinical factorsMedication useEdition codesStudy populationInternational ClassificationDrug useFibrillationClinical groupsAnticoagulants
2017
Characterising youth with callous–unemotional traits and concurrent anxiety: evidence for a high-risk clinical group
Cecil C, McCrory E, Barker E, Guiney J, Viding E. Characterising youth with callous–unemotional traits and concurrent anxiety: evidence for a high-risk clinical group. European Child & Adolescent Psychiatry 2017, 27: 885-898. PMID: 29222633, PMCID: PMC6013514, DOI: 10.1007/s00787-017-1086-8.Peer-Reviewed Original ResearchConceptsCallous-unemotional traitsTrauma historyHigh callous-unemotional traitsCo-occurring anxietyGreater attachment insecurityLevels of irritabilityHigh-risk youthSevere childhood maltreatmentAttachment insecurityADHD symptomatologyAttachment styleAffective functioningCU traitsPsychological distressAntisocial behaviorCommunity sampleAffective dysregulationHigh anxietyChildhood maltreatmentConcurrent anxietyClinical groupsSubstance useAnxietyPsychiatric symptomatologyYouthParenting a Child with ASD: Comparison of Parenting Style Between ASD, Anxiety, and Typical Development
Ventola P, Lei J, Paisley C, Lebowitz E, Silverman W. Parenting a Child with ASD: Comparison of Parenting Style Between ASD, Anxiety, and Typical Development. Journal Of Autism And Developmental Disorders 2017, 47: 2873-2884. PMID: 28634706, PMCID: PMC5711559, DOI: 10.1007/s10803-017-3210-5.Peer-Reviewed Original ResearchConceptsParents of childrenParenting stylesStyles of parentsDevelopment of interventionsNeeds of parentsDistinct parenting stylesTypical developmentParental styleTD parentsAnxiety disordersChildren's symptomsChild's treatmentASDClinical groupsParentsStyleAnxietyUnique relationshipChildrenUnderstanding factorsBehaviorDisordersInterventionGroupRelationship
2016
Imaging mass spectrometry assists in the classification of diagnostically challenging atypical Spitzoid neoplasms
Lazova R, Seeley EH, Kutzner H, Scolyer RA, Scott G, Cerroni L, Fried I, Kozovska ME, Rosenberg AS, Prieto VG, Shehata BM, Durham MM, Henry G, Rodriguez-Peralto JL, Riveiro-Falkenbach E, Schaefer JT, Danialan R, Fraitag S, Vollenweider-Roten S, Sepehr A, Sangueza M, Hijazi N, Corredoira Y, Kowal R, Harris OM, Bravo F, Boyd AS, Gueorguieva R, Caprioli RM. Imaging mass spectrometry assists in the classification of diagnostically challenging atypical Spitzoid neoplasms. Journal Of The American Academy Of Dermatology 2016, 75: 1176-1186.e4. PMID: 27502312, PMCID: PMC5112112, DOI: 10.1016/j.jaad.2016.07.007.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedAged, 80 and overChildChild, PreschoolDiagnosis, DifferentialFemaleHumansLymphatic MetastasisMaleMass SpectrometryMelanomaMiddle AgedNeoplasm Recurrence, LocalNevus, Epithelioid and Spindle CellProteinsRetrospective StudiesRisk AssessmentSentinel Lymph Node BiopsySkin NeoplasmsTreatment OutcomeTumor BurdenYoung AdultConceptsAtypical spitzoid neoplasmsClinical group 1Clinical behaviorSpitzoid melanomaHistopathological diagnosisGroup 1Spitzoid neoplasmsClinical group 2Greater tumor thicknessRetrospective collaborative studyAggressive clinical behaviorClinical outcomesRisk stratificationTumor thicknessPoor outcomeWorse clinical behaviorGroup 2Older ageClinical groupsDiagnosisSpitz neviMelanomaStrong associationProteomic signaturePatientsInterventions for Reducing Hospital Readmission Rates: The Role of Hospice and Palliative Care
Cherlin EJ, Brewster AL, Curry LA, Canavan ME, Hurzeler R, Bradley EH. Interventions for Reducing Hospital Readmission Rates: The Role of Hospice and Palliative Care. American Journal Of Hospice And Palliative Medicine® 2016, 34: 748-753. PMID: 27443281, DOI: 10.1177/1049909116660276.Peer-Reviewed Original ResearchConceptsRisk of readmissionHospital readmission ratesPalliative careUse of hospiceReadmission ratesIntegration of hospiceHospital site visitsRole of hospicePosthospital settingUnplanned readmissionHospice servicesHospital staffPatientsStudy of hospitalsSecondary analysisReadmissionHospitalHospiceClinical groupsCareAppropriate useConstant comparative methodDiscussion guideRiskStandard discussion guide
2015
Machine learning of structural magnetic resonance imaging predicts psychopathic traits in adolescent offenders
Steele VR, Rao V, Calhoun VD, Kiehl KA. Machine learning of structural magnetic resonance imaging predicts psychopathic traits in adolescent offenders. NeuroImage 2015, 145: 265-273. PMID: 26690808, PMCID: PMC4903946, DOI: 10.1016/j.neuroimage.2015.12.013.Peer-Reviewed Original ResearchConceptsLow psychopathic traitsPsychopathic traitsPersonality traitsNeural measuresElevated psychopathic traitsHigh psychopathic traitsVoxel-based morphometry dataNon-incarcerated youthSupport vector machine (SVM) learning modelStructural magnetic resonance imagingNeural correlatesAdolescent offendersAdolescent participantsGroup membershipClinical groupsHealthy controlsParalimbic systemNuanced modelsPersonality disorderFuture behaviorIncarcerated individualsYouthPsychopathyMachine learning modelsLearning model
2014
COMPARING FAMILY ACCOMMODATION IN PEDIATRIC OBSESSIVE‐COMPULSIVE DISORDER, ANXIETY DISORDERS, AND NONANXIOUS CHILDREN
Lebowitz ER, Scharfstein LA, Jones J. COMPARING FAMILY ACCOMMODATION IN PEDIATRIC OBSESSIVE‐COMPULSIVE DISORDER, ANXIETY DISORDERS, AND NONANXIOUS CHILDREN. Depression And Anxiety 2014, 31: 1018-1025. PMID: 24677578, DOI: 10.1002/da.22251.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderAnxiety disordersChildhood obsessive-compulsive disorderHealthy controlsNA groupSymptom severityPoor treatment outcomesFamily accommodationSeverity of anxietyPediatric obsessive-compulsive disorderMothers of childrenAssessment of childrenTreatment outcomesClinical careGeneral populationClinical groupsComparison groupLower functioningDisordersMeasures of accommodationSeverityChildrenChild avoidGreater distressEmotional disorders
2013
Amygdala Connectivity Differs Among Chronic, Early Course, and Individuals at Risk for Developing Schizophrenia
Anticevic A, Tang Y, Cho YT, Repovs G, Cole MW, Savic A, Wang F, Krystal JH, Xu K. Amygdala Connectivity Differs Among Chronic, Early Course, and Individuals at Risk for Developing Schizophrenia. Schizophrenia Bulletin 2013, 40: 1105-1116. PMID: 24366718, PMCID: PMC4133672, DOI: 10.1093/schbul/sbt165.Peer-Reviewed Original ResearchConceptsHealthy comparison subjectsAmygdala connectivityHigh riskSymptom severityOrbitofrontal cortexWhole-brain functional connectivityHR individualsResting-state connectivitySchizophrenia symptom severityFunctional magnetic resonanceAmygdala seedArousal nucleiInitial episodeSchizophrenia neuropathologyChronic schizophreniaBrainstem regionsIllness phasePsychosis onsetElevated riskAmygdala circuitsEarly courseComparison subjectsFunctional alterationsClinical groupsFunctional connectivity
2012
Eating Disorder Examination-Questionnaire Factor Structure and Construct Validity in Bariatric Surgery Candidates
Grilo CM, Henderson KE, Bell RL, Crosby RD. Eating Disorder Examination-Questionnaire Factor Structure and Construct Validity in Bariatric Surgery Candidates. Obesity Surgery 2012, 23: 657-662. PMID: 23229951, PMCID: PMC3610788, DOI: 10.1007/s11695-012-0840-8.Peer-Reviewed Original ResearchConceptsBariatric surgery candidatesBariatric surgery patientsSurgery candidatesSurgery patientsEating Disorder Examination QuestionnaireObese sampleObese bariatric surgery candidatesConsecutive seriesClinical assessmentResultsConfirmatory factor analysisDisorder Examination QuestionnaireClinical groupsDietary restraintFactor structureShape/weight overvaluationExamination QuestionnairePatientsConvergent validitySelf-report measuresFactor analytic findingsConstruct validityPsychometric propertiesPsychological measuresThree-factor structureRecent findings
2011
Early Generalized Overgrowth in Boys With Autism
Chawarska K, Campbell D, Chen L, Shic F, Klin A, Chang J. Early Generalized Overgrowth in Boys With Autism. JAMA Psychiatry 2011, 68: 1021-1031. PMID: 21969460, PMCID: PMC4878118, DOI: 10.1001/archgenpsychiatry.2011.106.Peer-Reviewed Original ResearchConceptsLower adaptive functioningAdaptive functioning levelPervasive developmental disorderCognitive functioningAdaptive functioningCognitive featuresSocial deficitsHC growthAge-related changesUniversity-based clinicAutismFunctioning levelsAge 24 monthsAutistic disorderClinical groupsDevelopmental disordersDevelopmental problemsFunctioningDevelopmental delayBoysAge 2 yearsGeneralized overgrowthOvergrowth patternGreater severityFirst year
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