2024
Correlates of Impaired Timing Abilities in Schizophrenia
Croce E, Simonelli G, Ferrara M, Escelsior A, Folesani F, Bovio A, Muscettola A, Toffanin T, De Bellis G, Nanni M, Caruso R, Murri M, Grassi L. Correlates of Impaired Timing Abilities in Schizophrenia. The Journal Of Nervous And Mental Disease 2024, 212: 603-622. DOI: 10.1097/nmd.0000000000001810.Peer-Reviewed Original ResearchSymptom severityTiming abilityDisorganized symptomsNeurobiological correlatesWorking memoryExecutive functionTiming impairmentsNeurobiological dataSchizophreniaCognitive impairmentNeural circuitsImpairmentSymptomsPreferred Reporting ItemsSystematic literature searchClinical heterogeneityCognitionAbilitySeverityReporting ItemsMemoryStudy designSystematic reviewPsycINFOAssociationThe anomalous effect of COVID-19 pandemic restrictions on the duration of untreated psychosis
Nicholls-Mindlin J, Hazan H, Zhou B, Li F, Ferrara M, Levine N, Riley S, Karmani S, Mathis W, Keshavan M, Srihari V. The anomalous effect of COVID-19 pandemic restrictions on the duration of untreated psychosis. BJPsych Open 2024, 10: e216. PMID: 39628123, DOI: 10.1192/bjo.2024.813.Peer-Reviewed Original ResearchA tale of two constructs: combined assessment of demoralization and subjective incompetence
Murri M, Folesani F, Azzolina D, Muscettola A, Bobevski I, Triolo F, Farkas G, Braccia F, Gavesi M, Toffanin T, Ferrara M, Zerbinati L, Khan M, Gregori D, De Figueredo J, Kissane D, Caruso R, Grassi L, Nanni M. A tale of two constructs: combined assessment of demoralization and subjective incompetence. Psychology Health & Medicine 2024, 29: 1635-1651. PMID: 39302008, DOI: 10.1080/13548506.2024.2405749.Peer-Reviewed Original ResearchConceptsSubjective incompetenceClinical dimensionsItem response theory analysisLatent trait scoresItem psychometric propertiesShort assessment instrumentDimension of demoralizationItem response theory modelsTrait scoresItem structurePsychometric propertiesDemoralization ScaleAssessment instrumentsDemoralizationIRT modelsTwenty itemsLong versionItemsDiscriminative propertiesClinical assessmentGeneral populationTheory analysisMultiple dimensionsHopelessnessEarly signsTimelinePTC: Development of a unified interface for pathways to care collection, visualization, and collaboration in first episode psychosis
Mathis W, Ferrara M, Cahill J, Karmani S, Tayfur S, Srihari V. TimelinePTC: Development of a unified interface for pathways to care collection, visualization, and collaboration in first episode psychosis. PLOS ONE 2024, 19: e0302116. PMID: 39028697, PMCID: PMC11259254, DOI: 10.1371/journal.pone.0302116.Peer-Reviewed Original ResearchConceptsPathways to CareDuration of untreated psychosisManual transcription errorsDevelopment of targeted interventionsReduce duration of untreated psychosisHealthcare accessibility researchReal-time data entryImprove patient outcomesEpisode psychosisCare pathwaysPatient journeyHealthcare contextPatient outcomesPaper-basedConversion of collected dataFEP treatmentData collection processNew HavenData collection methodsData entryTranscription errorsUntreated psychosisOpen-source codebaseData collectionWeb-based toolFirst episode psychoses in people over-35 years old: uncovering potential actionable targets for early intervention services
Ferrara M, Domenicano I, Marchi A, Zaffarami G, Onofrio A, Benini L, Sorio C, Gentili E, Murri M, Toffanin T, Little J, Grassi L. First episode psychoses in people over-35 years old: uncovering potential actionable targets for early intervention services. Psychiatry Research 2024, 339: 116034. PMID: 38906051, DOI: 10.1016/j.psychres.2024.116034.Peer-Reviewed Original ResearchLong-acting injectable antipsychoticsFirst-episode psychosisEarly intervention servicesPrescribing long-acting injectable antipsychoticsNon-affective first-episode psychosisIntervention servicesCommunity psychiatric servicesInjectable antipsychoticsPsychotic onsetEpisode psychosisAffective psychosisPsychiatric servicesPsychosisExclusion of patientsAccess treatmentClinical characteristicsRetrospective studyOlder patientsPatientsAntipsychoticsAntidepressantsAge groupsWomenGroupIndividualsThe Italian adaptation of the Mini‐SIPS, a tool for early detection of individuals at clinical high risk and first episode of psychosis: A preliminary study of implementation in an Italian FEP program
Ferrara M, Basaldella M, Vacca F, Woods S, Walsh B, Cannon T, Srihari V, Grassi L. The Italian adaptation of the Mini‐SIPS, a tool for early detection of individuals at clinical high risk and first episode of psychosis: A preliminary study of implementation in an Italian FEP program. Early Intervention In Psychiatry 2024 PMID: 38769052, DOI: 10.1111/eip.13548.Peer-Reviewed Original ResearchClinical high riskFirst-episode psychosisDSM-5-Attenuated Psychosis SyndromeItalian adaptationPsychosis syndromeDSM-5FEP programsEarly stages of psychosisItalian versionFirst-episode psychosis servicesFull-blown psychosisStages of psychosisEpisode of psychosisClinical structured interviewEpisode psychosisEstablished psychosisTrained psychologistsPsychiatric historyPsychosisPsychosis servicesHigh riskStructured interviewsClinical settingEarly detection of individualsAssess validityAntipsychotic drugs in first-episode psychosis: a target trial emulation in the FEP-CAUSAL Collaboration
Szmulewicz A, Martínez-Alés G, Logan R, Ferrara M, Kelly C, Fredrikson D, Gago J, Conderino S, Díaz-Caneja C, Galvañ J, Thorpe L, Srihari V, Yatham L, Sarpal D, Shinn A, Arango C, Öngür D, Hernán M, Collaboration O. Antipsychotic drugs in first-episode psychosis: a target trial emulation in the FEP-CAUSAL Collaboration. American Journal Of Epidemiology 2024, 193: 1081-1087. PMID: 38576166, DOI: 10.1093/aje/kwae029.Peer-Reviewed Original ResearchFirst-episode psychosisFirst-generation agentsAntipsychotic therapyAntipsychotic drugsPsychosis onsetPsychotic disordersEpisode psychosisAripiprazolePaliperidoneRisk of hospitalizationPsychosisTarget trialsRisperidoneOlanzapineFirst-line therapyTreatment discontinuationEUFESTObservational cohortAntipsychoticsQuetiapineRandomized trialsPrimary outcomeAbsolute riskRisk differenceClinical questionsMachine Learning For Mental Health: Focus on Affective and Nonaffective Psychosis
Ferrara M, Franchini G, Funaro M, Murri M, Toffanin T, Zerbinati L, Valier B, Ambrosio D, Marconi F, Cutroni M, Basaldella M, Seno S, Grassi L. Machine Learning For Mental Health: Focus on Affective and Nonaffective Psychosis. 2024, 239-258. DOI: 10.1201/9781003378068-11.Peer-Reviewed Original ResearchCorrection: On the proportion of patients who experience a prodrome prior to psychosis onset: a systematic review and meta-analysis
Benrimoh D, Dlugunovych V, Wright A, Phalen P, Funaro M, Ferrara M, Powers A, Woods S, Guloksuz S, Yung A, Srihari V, Shah J. Correction: On the proportion of patients who experience a prodrome prior to psychosis onset: a systematic review and meta-analysis. Molecular Psychiatry 2024, 29: 1567-1567. PMID: 38351175, DOI: 10.1038/s41380-024-02481-0.Peer-Reviewed Original ResearchEffects of electroconvulsive therapy on cortical thickness in depression: a systematic review.
Toffanin T, Cattarinussi G, Ghiotto N, Lussignoli M, Pavan C, Pieri L, Schiff S, Finatti F, Romagnolo F, Folesani F, Nanni M, Caruso R, Zerbinati L, Belvederi Murri M, Ferrara M, Pigato G, Grassi L, Sambataro F. Effects of electroconvulsive therapy on cortical thickness in depression: a systematic review. Acta Neuropsychiatrica 2024, 1-15. PMID: 38343196, DOI: 10.1017/neu.2024.6.Peer-Reviewed Original ResearchElectroconvulsive therapyCortical thicknessBipolar depressionStructural magnetic resonance imaging studiesEffects of electroconvulsive therapyEfficacy of electroconvulsive therapyTreatment-resistant depressionECT protocolsLongitudinal cortical thicknessClinical efficacy of electroconvulsive therapyElectroconvulsive therapy treatmentsMagnetic resonance imaging studiesClinical responseDepressed patientsBiomarkers of clinical responseNeural mechanismsBrain areasFrontal regionsDepressionSystematic reviewClinical efficacyFollow-upIncreased CTImaging studiesPatientsDimensions and predictors of clinical and personal recovery in first‐episode psychoses: Results from a cross‐sectional study
Ferrara M, Zaffarami G, Simonelli G, Domenicano I, Vecchioni L, Toffanin T, Folesani F, Zotos S, Scrignoli C, Bertelli R, Carozza P, Grassi L. Dimensions and predictors of clinical and personal recovery in first‐episode psychoses: Results from a cross‐sectional study. Early Intervention In Psychiatry 2024, 18: 455-470. PMID: 38318707, DOI: 10.1111/eip.13513.Peer-Reviewed Original ResearchPersonal recoveryFirst-episode psychosisInvestigate predictors of recoveryRecovery Assessment ScaleDimensions of recoveryNation Outcome ScalesAdjusted logistic regressionCross-sectional studyPositive and Negative Syndrome ScalePredictors of recoveryLong-acting antipsychoticsPromotion interventionsUsual careNegative Syndrome ScalePsychiatric careAssessment ScaleSeverity of symptomatologyPsychiatric hospitalFEP servicesOral antipsychoticsBivariate analysisRecovery dimensionsLogistic regressionCareMale sexOn the proportion of patients who experience a prodrome prior to psychosis onset: A systematic review and meta-analysis
Benrimoh D, Dlugunovych V, Wright A, Phalen P, Funaro M, Ferrara M, Powers A, Woods S, Guloksuz S, Yung A, Srihari V, Shah J. On the proportion of patients who experience a prodrome prior to psychosis onset: A systematic review and meta-analysis. Molecular Psychiatry 2024, 29: 1361-1381. PMID: 38302562, DOI: 10.1038/s41380-024-02415-w.Peer-Reviewed Original ResearchSources of heterogeneitySystematic reviewProportion of patientsMeta-analysisSubgroup analysisCochrane Database of Systematic ReviewsDatabase of Systematic ReviewsMeta-analysis of studies of patientsPsychosis onsetProspective cohort studyCochrane Central Register of Controlled TrialsCentral Register of Controlled TrialsRegister of Controlled TrialsAPA PsycInfoNarrative synthesisMeta-analysis estimatesCochrane Central RegisterPrevention of psychosisAscertainment methodsWeb of Science Core CollectionRecall biasQualitative studyAssess heterogeneityCohort studyOvid MEDLINEThe impact of early detection (ED) campaigns on care presentations: Beyond DUP reduction
Hazan H, Ferrara M, Riley S, Li F, Zhou B, Kline E, Gibbs-Dean T, Karmani S, Tayfur S, Tek C, Keshavan M, Srihari V. The impact of early detection (ED) campaigns on care presentations: Beyond DUP reduction. Schizophrenia Research 2024, 264: 457-461. PMID: 38266513, PMCID: PMC10923115, DOI: 10.1016/j.schres.2024.01.022.Peer-Reviewed Original ResearchConceptsCoordinated specialty careDuration of untreated psychosisImpact of early detectionEarly detectionEarly detection campaignsSpecialty careAdjustment scoresCampaign yearDetection campaignsMediation analysisEffects of EDRegression modelsCareUntreated psychosisPositive symptomsGAFPatientsSalutary effectsRole of Early Psychosis Detection in the Relationship Between Personal Income and Duration of Untreated Psychosis
Venkataraman S, Hazan H, Li F, Ferrara M, Harper A, Ma J, Shah J, Musket C, Levine N, Keshavan M, Srihari V. Role of Early Psychosis Detection in the Relationship Between Personal Income and Duration of Untreated Psychosis. Psychiatric Services 2024, 75: 427-433. PMID: 38204369, DOI: 10.1176/appi.ps.20230239.Peer-Reviewed Original ResearchDuration of untreated psychosisFirst-episode psychosis servicesFirst-episode psychosisEarly psychosis detectionLow personal incomeSocioeconomic statusUntreated psychosisOutcome of first-episode psychosisLength of duration of untreated psychosisEffectiveness of early detectionSpecialty care clinicsProlonged duration of untreated psychosisReduce duration of untreated psychosisEffects of ageLow socioeconomic statusPersonal incomeIndicators of disparitiesEarly detection effortsAssociated with younger ageYears of educationSES indicatorsCare clinicsEarly detectionBlack raceHierarchical regressionMachine learning from real data: A mental health registry case study
Gentili E, Franchini G, Zese R, Alberti M, Ferrara M, Domenicano I, Grassi L. Machine learning from real data: A mental health registry case study. Computer Methods And Programs In Biomedicine Update 2024, 5: 100132. DOI: 10.1016/j.cmpbup.2023.100132.Peer-Reviewed Original ResearchClassification taskDifferent Machine Learning algorithmsMachine Learning AlgorithmsMachine learning techniquesReal-world datasetsCost-sensitive learningImbalanced classification tasksSynthetic minority oversampling techniqueMinority oversampling techniqueFeature selection analysisLearning techniquesElectronic health recordsAlgorithm levelMedical domainLearning algorithmData imbalanceRandom undersamplingOversampling techniqueHealth recordsReal dataHealthcare fieldOriginal dataDatasetTaskBest setting
2023
Recommendations for a Better Understanding of Sex and Gender in the Neuroscience of Mental Health
Wierenga L, Ruigrok A, Aksnes E, Barth C, Beck D, Burke S, Crestol A, van Drunen L, Ferrara M, Galea L, Goddings A, Hausmann M, Homanen I, Klinge I, de Lange A, Geelhoed-Ouwerkerk L, van der Miesen A, Proppert R, Rieble C, Tamnes C, Bos M. Recommendations for a Better Understanding of Sex and Gender in the Neuroscience of Mental Health. Biological Psychiatry Global Open Science 2023, 4: 100283. PMID: 38312851, PMCID: PMC10837069, DOI: 10.1016/j.bpsgos.2023.100283.Peer-Reviewed Original ResearchFirst-episode psychosis and autism spectrum disorder: a scoping review and a guide to overcome diagnostic challenges
Ferrara M, Curtarello E, Simonelli G, Yoviene Sykes L, Fusar-Poli L, Folesani F, Belvederi Murri M, Aguglia E, Politi P, Grassi L. First-episode psychosis and autism spectrum disorder: a scoping review and a guide to overcome diagnostic challenges. International Journal Of Mental Health 2023, 53: 4-35. DOI: 10.1080/00207411.2023.2276872.Peer-Reviewed Original ResearchFirst-episode psychosisDifferential diagnosisFEP servicesDiagnostic challengeAutism spectrum disorderAdequate differential diagnosisUndiagnosed autism spectrum disorderComprehensive literature searchPRISMA-ScR guidelinesAdult patientsClinical presentationFunctional recoveryHigh prevalenceSpectrum disorderHigh riskPsychotic symptomsComorbid diagnosesSymptoms of autismSuicidal behaviorLiterature searchDiagnosisSymptomsSensory processingPerceptual abnormalitiesSeparate groups579. Benchmarking Observational Analyses Against Randomized Trial Results: An Application to First Episode Psychosis
Szmulewicz A, Martinez-Ales G, Ferrara M, Fredrikson D, Gago J, Srihari V, Yatham L, Conderino S, Shinn A, Ongur D, Hernán M. 579. Benchmarking Observational Analyses Against Randomized Trial Results: An Application to First Episode Psychosis. Biological Psychiatry 2023, 93: s328-s329. DOI: 10.1016/j.biopsych.2023.02.819.Peer-Reviewed Original ResearchSampling from different populations: Sociodemographic, clinical, and functional differences between samples of first episode psychosis individuals and clinical high-risk individuals who progressed to psychosis
Hagler M, Ferrara M, Yoviene Sykes L, Li F, Addington J, Bearden C, Cadenhead K, Cannon T, Cornblatt B, Perkins D, Mathalon D, Seidman L, Tsuang M, Walker E, Powers A, Allen A, Srihari V, Woods S. Sampling from different populations: Sociodemographic, clinical, and functional differences between samples of first episode psychosis individuals and clinical high-risk individuals who progressed to psychosis. Schizophrenia Research 2023, 255: 239-245. PMID: 37028205, PMCID: PMC10207144, DOI: 10.1016/j.schres.2023.03.047.Peer-Reviewed Original ResearchConceptsFirst-episode psychosis servicesClinical high riskClinical high-risk individualsEarly detectionFirst-episode psychosis individualsRecent psychiatric hospitalizationCourse of illnessHigh-risk individualsAttenuated positive symptomsCHR researchGeographic catchmentSyndromal psychosisPsychosis individualsPsychiatric hospitalizationEarly intervention effortsHigh riskPsychosis servicesPositive symptomsGlobal functioningClinical resourcesProtective factorsDifferent populationsFE participantsGeneralizability of findingsFES program
2022
Granular analysis of pathways to care and durations of untreated psychosis: A marginal delay model
Mathis W, Ferrara M, Burke S, Hyun E, Li F, Zhou B, Cahill J, Kline E, Keshavan M, Srihari V. Granular analysis of pathways to care and durations of untreated psychosis: A marginal delay model. PLOS ONE 2022, 17: e0270234. PMID: 36472968, PMCID: PMC9725156, DOI: 10.1371/journal.pone.0270234.Peer-Reviewed Original ResearchUntreated psychosisAntipsychotic prescriptionsEarly detection campaignsPatient characteristics influencesEarly detection effortsPatient characteristicsClinical nodesLonger DUPFunctional declineOutpatient programPsychosis onsetSpecialized treatmentPsychosisNumber of daysDetection campaignsNetworks of careHigh functioningPrescriptionEnrollmentPTCDurationStart date