2023
Phenomenological and Cognitive Features Associated With Auditory Hallucinations in Clinical and Nonclinical Voice Hearers
Gold J, Corlett P, Erickson M, Waltz J, August S, Dutterer J, Bansal S. Phenomenological and Cognitive Features Associated With Auditory Hallucinations in Clinical and Nonclinical Voice Hearers. Schizophrenia Bulletin 2023, 49: 1591-1601. PMID: 37350507, PMCID: PMC10686332, DOI: 10.1093/schbul/sbad083.Peer-Reviewed Original ResearchConceptsAuditory verbal hallucinationsVoice hearersUnusual beliefsExperience of AVHNegative symptomsDSM-V diagnosisFeatures of schizophreniaMotivational deficitsCognitive featuresBroad batteryVerbal hallucinationsDelusional beliefsSZ/schizoaffective disorderCognitive AssessmentLess distressSensory featuresCognitive deficitsFirst-rank symptomsBroader phenotypeAuditory hallucinationsCognitive impairmentSchizoaffective disorderSchizophreniaBeliefsDeficitsRelationships between cognitive biases, decision-making, and delusions
Sheffield J, Smith R, Suthaharan P, Leptourgos P, Corlett P. Relationships between cognitive biases, decision-making, and delusions. Scientific Reports 2023, 13: 9485. PMID: 37301915, PMCID: PMC10257713, DOI: 10.1038/s41598-023-36526-1.Peer-Reviewed Original ResearchConceptsDelusional ideationDelusional thinkingCognitive biasesDistinct cognitive processesSelf-reported dataCognitive processesProbabilistic reversalUnique varianceComputational mechanismsEvidence integrationPsychosis spectrumMultiple measuresProportion of varianceParanoiaRandom explorationIdeationThinkingTaskBiasesMeasuresVarianceDelusionsJTCIndependent studiesRelationshipUsing dimensionality-reduction techniques to understand the organization of psychotic symptoms in persistent psychotic illness and first episode psychosis
Fleming L, Lemonde A, Benrimoh D, Gold J, Taylor J, Malla A, Joober R, Iyer S, Lepage M, Shah J, Corlett P. Using dimensionality-reduction techniques to understand the organization of psychotic symptoms in persistent psychotic illness and first episode psychosis. Scientific Reports 2023, 13: 4841. PMID: 36964175, PMCID: PMC10039017, DOI: 10.1038/s41598-023-31909-w.Peer-Reviewed Original ResearchConceptsHallucinations/delusionsFirst-episode psychosisFirst-episode psychosis participantsEarly intervention programsPathophysiological mechanismsUnderlying pathophysiologyEpisode psychosisPsychotic illnessPsychotic symptomsPsychotic disordersSchizoaffective disorderAuditory hallucinationsPositive symptomsHallucination severityNegative symptomsSymptomsDisorganization symptomsIntervention programsHallucinationsIllnessPsychosis participantsPsychosisDelusionsDisordersParticipantsSelf-reported Gesture Interpretation and Performance Deficits in Individuals at Clinical High Risk for Psychosis
Karp E, Williams T, Ellman L, Strauss G, Walker E, Corlett P, Woods S, Powers A, Gold J, Schiffman J, Waltz J, Silverstein S, Mittal V. Self-reported Gesture Interpretation and Performance Deficits in Individuals at Clinical High Risk for Psychosis. Schizophrenia Bulletin 2023, 49: 746-755. PMID: 36939086, PMCID: PMC10154698, DOI: 10.1093/schbul/sbac197.Peer-Reviewed Original ResearchMeSH KeywordsCross-Sectional StudiesGesturesHumansNeuropsychological TestsProdromal SymptomsPsychotic DisordersSelf ReportConceptsClinical high riskGesture deficitsInternalizing disordersCHR groupGesture interpretationLower verbal learningViable assessment toolVerbal learningNeurocognitive tasksGeneral intelligencePerformance deficitsNonverbal behaviorProcessing speedCHR participantsSimilar deficitsGreater deficitsHigh riskClinical InterviewFull psychotic disorderDeficitsSpecific subdomainsSRGPPsychotic disordersPsychosisGesturesThe reliability and validity of the revised Green et al. paranoid thoughts scale in individuals at clinical high‐risk for psychosis
Williams T, Walker E, Strauss G, Woods S, Powers A, Corlett P, Schiffman J, Waltz J, Gold J, Silverstein S, Ellman L, Zinbarg R, Mittal V. The reliability and validity of the revised Green et al. paranoid thoughts scale in individuals at clinical high‐risk for psychosis. Acta Psychiatrica Scandinavica 2023, 147: 623-633. PMID: 36905387, PMCID: PMC10463775, DOI: 10.1111/acps.13545.Peer-Reviewed Original ResearchMeSH KeywordsHumansInterpersonal RelationsParanoid DisordersPsychotic DisordersReproducibility of ResultsSelf ReportConceptsCHR individualsClinical controlFull psychosisHealthy controlsGeneral populationPsychosis symptomsCHR participantsPoor social functioningGreen Paranoid Thoughts ScalePsychosisGroup differencesSocial functioningConfirmatory factor analysisParanoid Thoughts ScaleInterview measuresSeverity continuumTwo-factor structureCritical populationSelf-report measuresPresent studyDiscriminant validityPsychometric indicesParanoid thoughtsIndividualsParticipantsLearning to Discern the Voices of Gods, Spirits, Tulpas, and the Dead
Luhrmann T, Alderson-Day B, Chen A, Corlett P, Deeley Q, Dupuis D, Lifshitz M, Moseley P, Peters E, Powell A, Powers A. Learning to Discern the Voices of Gods, Spirits, Tulpas, and the Dead. Schizophrenia Bulletin 2023, 49: s3-s12. PMID: 36840538, PMCID: PMC9959996, DOI: 10.1093/schbul/sbac005.Peer-Reviewed Original Research
2010
Glutamatergic Model Psychoses: Prediction Error, Learning, and Inference
Corlett PR, Honey GD, Krystal JH, Fletcher PC. Glutamatergic Model Psychoses: Prediction Error, Learning, and Inference. Neuropsychopharmacology 2010, 36: 294-315. PMID: 20861831, PMCID: PMC3055519, DOI: 10.1038/npp.2010.163.Peer-Reviewed Original Research
2009
From drugs to deprivation: a Bayesian framework for understanding models of psychosis
Corlett PR, Frith CD, Fletcher PC. From drugs to deprivation: a Bayesian framework for understanding models of psychosis. Psychopharmacology 2009, 206: 515-530. PMID: 19475401, PMCID: PMC2755113, DOI: 10.1007/s00213-009-1561-0.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntipsychotic AgentsBayes TheoremHumansModels, BiologicalPsychoses, Substance-InducedPsychotic DisordersConceptsSymptoms of psychosisImportance of perceptionsProcessing of informationCognitive modelPrior expectanciesPerceptual AberrationModel of psychosisNeural circuitryInformation processingDifferent manipulationsPositive symptomsExperimental manipulationSerotonergic hallucinogensPerceptionPsychosisNew predictionsPsychotomimetic drugsUseful settingProcessingDistinctive effectsSymptomsInferenceNMDA receptor antagonistDistinct symptomsLearning
2007
Disrupted prediction-error signal in psychosis: evidence for an associative account of delusions
Corlett PR, Murray GK, Honey GD, Aitken MR, Shanks DR, Robbins TW, Bullmore ET, Dickinson A, Fletcher PC. Disrupted prediction-error signal in psychosis: evidence for an associative account of delusions. Brain 2007, 130: 2387-2400. PMID: 17690132, PMCID: PMC3838942, DOI: 10.1093/brain/awm173.Peer-Reviewed Original ResearchConceptsDelusion formationDelusional beliefsPrediction error processingPrediction-error signallingPrediction error signalsAttentional allocationAssociative accountMaladaptive beliefsError processingAssociative learningNeurobiological theoriesBrain responsesCortex responsesIndividual's propensityBelief formationDelusionsBeliefsPrediction errorExtent of disruptionProcessingFMRILearningPsychosisExpectancyIndividualsSubstantia nigra/ventral tegmental reward prediction error disruption in psychosis
Murray G, Corlett P, Clark L, Pessiglione M, Blackwell A, Honey G, Jones P, Bullmore E, Robbins T, Fletcher P. Substantia nigra/ventral tegmental reward prediction error disruption in psychosis. Molecular Psychiatry 2007, 13: 267-276. PMID: 17684497, PMCID: PMC2564111, DOI: 10.1038/sj.mp.4002058.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAnalysis of VarianceCase-Control StudiesChoice BehaviorFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleModels, PsychologicalNeuropsychological TestsOxygenPhotic StimulationPsychiatric Status Rating ScalesPsychotic DisordersRewardSubstantia NigraVentral Tegmental AreaConceptsDopaminergic midbrainFunctional magnetic resonance imagingReward prediction errorHealthy control participantsPsychosis patientsNeutral stimuliMotivational salienceNeural responsesMental experienceRecent theoretical interestFirst-episode psychosis patientsPrediction errorConditioning experimentsControl participantsEpisode psychosis patientsPsychotic experiencesPathophysiology of schizophreniaPositive symptomsAbnormal physiological responsesMesolimbic activityMidbrain dopamine neuronsMagnetic resonance imagingDopamine dysfunctionDopamine systemDopamine neurons
2006
Frontal Responses During Learning Predict Vulnerability to the Psychotogenic Effects of Ketamine: Linking Cognition, Brain Activity, and Psychosis
Corlett PR, Honey GD, Aitken MR, Dickinson A, Shanks DR, Absalom AR, Lee M, Pomarol-Clotet E, Murray GK, McKenna PJ, Robbins TW, Bullmore ET, Fletcher PC. Frontal Responses During Learning Predict Vulnerability to the Psychotogenic Effects of Ketamine: Linking Cognition, Brain Activity, and Psychosis. JAMA Psychiatry 2006, 63: 611-621. PMID: 16754834, DOI: 10.1001/archpsyc.63.6.611.Peer-Reviewed Original ResearchMeSH KeywordsAdultAssociation LearningBrief Psychiatric Rating ScaleCognition DisordersDelusionsDisease SusceptibilityDose-Response Relationship, DrugFemaleFrontal LobeHumansKetamineMagnetic Resonance ImagingMaleModels, TheoreticalPerceptual DisordersPlacebosProbabilityPsychiatric Status Rating ScalesPsychoses, Substance-InducedPsychotic DisordersConceptsDelusion formationPerceptual AberrationBrain activityError-dependent learningPharmacological functional magnetic resonanceAssociative learning taskFunctional magnetic resonance imagingAssociative learning processesDelusion-like beliefsFrontal cortical functionFunctional magnetic resonanceFull Scale IQUnderstanding of psychosisRight frontal cortexRight-handed volunteersNeurobiological accountsCognitive processesClinical Neuroscience InstituteFrontal activationAssociative learningFrontal responseBrain activationStructured Clinical InterviewLearning taskPsychotogenic effects