2024
Biomarkers of Auditory-Verbal Hallucinations
Fisher V, Hosein G, Epié B, Powers A. Biomarkers of Auditory-Verbal Hallucinations. Advances In Neurobiology 2024, 40: 665-681. PMID: 39562460, DOI: 10.1007/978-3-031-69491-2_22.Peer-Reviewed Original ResearchThe mechanisms underlying conditioning of phantom percepts differ between those with hallucinations and synesthesia
del Rio M, Kafadar E, Fisher V, D’Costa R, Powers A, Ward J. The mechanisms underlying conditioning of phantom percepts differ between those with hallucinations and synesthesia. Scientific Reports 2024, 14: 5607. PMID: 38453946, PMCID: PMC10920618, DOI: 10.1038/s41598-024-53663-3.Peer-Reviewed Original Research
2023
Barriers and solutions to the adoption of translational tools for computational psychiatry
Benrimoh D, Fisher V, Mourgues C, Sheldon A, Smith R, Powers A. Barriers and solutions to the adoption of translational tools for computational psychiatry. Molecular Psychiatry 2023, 28: 2189-2196. PMID: 37280282, PMCID: PMC10611570, DOI: 10.1038/s41380-023-02114-y.Peer-Reviewed Original ResearchConceptsMainstream research directionIntegration of tasksComputational psychiatryComputational tasksComputational expertiseGame platformFormal modelDevelopment of tasksTaskLimited ecological validityResearch directionsEcological validityComputational methodsTest-retest reliabilityMore positive impactsInformation processingLarge-scale research projectProcessingHuman brainResearch projectLearning 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
2022
Three prominent self-report risk measures show unique and overlapping utility in characterizing those at clinical high-risk for psychosis
Williams TF, Powers AR, Ellman LM, Corlett PR, Strauss GP, Schiffman J, Waltz JA, Silverstein SM, Woods SW, Walker EF, Gold JM, Mittal VA. Three prominent self-report risk measures show unique and overlapping utility in characterizing those at clinical high-risk for psychosis. Schizophrenia Research 2022, 244: 58-65. PMID: 35597134, PMCID: PMC9829103, DOI: 10.1016/j.schres.2022.05.006.Peer-Reviewed Original ResearchConceptsProdromal Questionnaire-BriefPositive symptomsSelf-report questionnairesSpecific positive symptomsStructured Clinical InterviewClinical high riskCriterion validityHealthy controlsSpecific symptomsHigh riskDiscriminant validityPsychosis symptomsClinical InterviewCHR individualsStrong convergent validitySymptomsPsychosis riskNeuropsychological testsConsistent significant correlationLimited specificitySignificant correlationConvergent validityPsychosisConstruct validityQuestionnaireConditioned Hallucinations and Prior Overweighting Are State-Sensitive Markers of Hallucination Susceptibility
Kafadar E, Fisher VL, Quagan B, Hammer A, Jaeger H, Mourgues C, Thomas R, Chen L, Imtiaz A, Sibarium E, Negreira AM, Sarisik E, Polisetty V, Benrimoh D, Sheldon AD, Lim C, Mathys C, Powers AR. Conditioned Hallucinations and Prior Overweighting Are State-Sensitive Markers of Hallucination Susceptibility. Biological Psychiatry 2022, 92: 772-780. PMID: 35843743, PMCID: PMC10575690, DOI: 10.1016/j.biopsych.2022.05.007.Peer-Reviewed Original ResearchConceptsCH rateIncoming sensory evidenceSensory evidencePerceptual statesTask performanceComputational psychiatrySubset of participantsPrior expectationsHallucination severityBehavioral dataSymptom severityPast experienceStable measureHallucinationsPsychotic symptomsHallucination frequencyTaskSymptom expressionBayesian modelState markerHallucinatorsNonhallucinatorsOverweightingPerceptionSymptom riskRelating Glutamate, Conditioned, and Clinical Hallucinations via 1H-MR Spectroscopy
Leptourgos P, Bansal S, Dutterer J, Culbreth A, Powers A, Suthaharan P, Kenney J, Erickson M, Waltz J, Wijtenburg SA, Gaston F, Rowland LM, Gold J, Corlett P. Relating Glutamate, Conditioned, and Clinical Hallucinations via 1H-MR Spectroscopy. Schizophrenia Bulletin 2022, 48: 912-920. PMID: 35199836, PMCID: PMC9212089, DOI: 10.1093/schbul/sbac006.Peer-Reviewed Original ResearchMeSH KeywordsGlutamic AcidHallucinationsHumansMagnetic Resonance SpectroscopyPsychotic DisordersSchizophreniaConceptsGlutamate levelsAnterior insulaPrior beliefsCognitive modelPathophysiological theoriesAuditory cortexClinical hallucinationsAnterior cingulateComputational psychiatryNew treatmentsDorsolateral prefrontalVisual cuesPrior expectationsSame participantsHallucinationsInsulaNegative relationshipCurrent experienceMagnetic resonance spectroscopyBeliefsComputational modelingTonePerceptual pathways to hallucinogenesis
Sheldon AD, Kafadar E, Fisher V, Greenwald MS, Aitken F, Negreira AM, Woods SW, Powers AR. Perceptual pathways to hallucinogenesis. Schizophrenia Research 2022, 245: 77-89. PMID: 35216865, PMCID: PMC9232894, DOI: 10.1016/j.schres.2022.02.002.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeasuring Voluntary Control Over Hallucinations: The Yale Control Over Perceptual Experiences (COPE) Scales
Mourgues C, Hammer A, Fisher V, Kafadar E, Quagan B, Bien C, Jaeger H, Thomas R, Sibarium E, Negreira AM, Sarisik E, Polisetty V, Eken H, Imtiaz A, Niles H, Sheldon AD, Powers AR. Measuring Voluntary Control Over Hallucinations: The Yale Control Over Perceptual Experiences (COPE) Scales. Schizophrenia Bulletin 2022, 48: 673-683. PMID: 35089361, PMCID: PMC9077437, DOI: 10.1093/schbul/sbab144.Peer-Reviewed Original ResearchConceptsAuditory verbal hallucinationsPositive clinical outcomesClinical outcomesPilot studyQuality of lifeConvergent validityFrequent auditory verbal hallucinationsExperiences ScaleClinical measuresConventional treatmentNovel interventionsSymptom severitySignificant distressClinical scalesComprehensive batteryPsychosis-spectrum diagnosisVerbal hallucinationsSound psychometric propertiesAVH contentVoluntary controlPsychometric propertiesHallucinationsControl ScaleValidation studyIntervention
2020
Modeling perception and behavior in individuals at clinical high risk for psychosis: Support for the predictive processing framework
Kafadar E, Mittal VA, Strauss GP, Chapman HC, Ellman LM, Bansal S, Gold JM, Alderson-Day B, Evans S, Moffatt J, Silverstein SM, Walker EF, Woods SW, Corlett PR, Powers AR. Modeling perception and behavior in individuals at clinical high risk for psychosis: Support for the predictive processing framework. Schizophrenia Research 2020, 226: 167-175. PMID: 32593735, PMCID: PMC7774587, DOI: 10.1016/j.schres.2020.04.017.Peer-Reviewed Original ResearchConceptsClinical high riskCHR participantsDegraded speech stimuliPredictive processing frameworkUtility of interventionsSample of participantsPerceptual inferenceSensory evidencePsychotic spectrum disordersSpeech stimuliSpeech taskComputational underpinningsBehavioral tasksEfficacy of interventionsSpectrum disorderTarget tonesParticipants' performanceComputational modelingHigh riskPoor recognitionLatent factorsSuch tasksPrior beliefsTaskAppropriate risk stratificationParacingulate Sulcus Length Is Shorter in Voice-Hearers Regardless of Need for Care
Powers AR, van Dyck LI, Garrison JR, Corlett PR. Paracingulate Sulcus Length Is Shorter in Voice-Hearers Regardless of Need for Care. Schizophrenia Bulletin 2020, 46: 1520-1523. PMID: 32432706, PMCID: PMC7707078, DOI: 10.1093/schbul/sbaa067.Peer-Reviewed Original ResearchMeSH KeywordsAdultHallucinationsHumansMagnetic Resonance ImagingPrefrontal CortexPsychotic DisordersConceptsAuditory verbal hallucinationsPsychotic disordersParacingulate sulcusT1-weighted structural MRI scansMedial prefrontal cortexStructural MRI scansClinical stateClinical careMRI scansAVH phenomenologyMental illnessClinical counterpartPrefrontal cortexClinical populationsDisordersVerbal hallucinationsHallucinationsIllnessPsychosisSulcus lengthCareGroups of participantsCurrent studyParticipantsNonclinical populations
2019
Does hallucination perceptual modality impact psychosis risk?
Niles H, Walsh B, Woods S, Powers A. Does hallucination perceptual modality impact psychosis risk? Acta Psychiatrica Scandinavica 2019, 140: 360-370. PMID: 31355420, PMCID: PMC6752971, DOI: 10.1111/acps.13078.Peer-Reviewed Original ResearchConceptsClinical high riskPerceptual abnormalitiesPsychosis riskNon-verbal contentAuditory perceptual abnormalitiesIndividuals ages 12Verbal experienceAuditory experienceCHR individualsThought contentCHR sampleUnusual thought contentPredictive validityAuditory scoresGustatory componentsAge 12Meeting criteriaPsychotic disordersPhenomenological aspectsInterview notesPsychosisConversion riskScoresIndividualsExperienceFrom Computation to the First-Person: Auditory-Verbal Hallucinations and Delusions of Thought Interference in Schizophrenia-Spectrum Psychoses
Humpston CS, Adams RA, Benrimoh D, Broome MR, Corlett PR, Gerrans P, Horga G, Parr T, Pienkos E, Powers AR, Raballo A, Rosen C, Linden DEJ. From Computation to the First-Person: Auditory-Verbal Hallucinations and Delusions of Thought Interference in Schizophrenia-Spectrum Psychoses. Schizophrenia Bulletin 2019, 45: s56-s66. PMID: 30715542, PMCID: PMC6357975, DOI: 10.1093/schbul/sby073.Peer-Reviewed Original ResearchBeyond Trauma: A Multiple Pathways Approach to Auditory Hallucinations in Clinical and Nonclinical Populations
Luhrmann TM, Alderson-Day B, Bell V, Bless JJ, Corlett P, Hugdahl K, Jones N, Larøi F, Moseley P, Padmavati R, Peters E, Powers AR, Waters F. Beyond Trauma: A Multiple Pathways Approach to Auditory Hallucinations in Clinical and Nonclinical Populations. Schizophrenia Bulletin 2019, 45: s24-s31. PMID: 30715545, PMCID: PMC6357973, DOI: 10.1093/schbul/sby110.Peer-Reviewed Original Research
2018
Hallucinations and Strong Priors
Corlett PR, Horga G, Fletcher PC, Alderson-Day B, Schmack K, Powers AR. Hallucinations and Strong Priors. Trends In Cognitive Sciences 2018, 23: 114-127. PMID: 30583945, PMCID: PMC6368358, DOI: 10.1016/j.tics.2018.12.001.Peer-Reviewed Original ResearchConceptsAberrant perceptionsClinical hallucinationsRecent empirical workConstructive natureHuman behaviorIdentifiable stimuliEmpathic approachPrior beliefsLight of workPerceptionHallucinationsEmpirical workStrong priorsReal worldLaboratory phenomenonNeural networkStimuliApparent disconnectBeliefsPsychosisIndividualsHealthy subjectsSupportInferenceGuided by Voices: Hallucinations and the Psychosis Spectrum
Powers AR, Corlett PR, Ross DA. Guided by Voices: Hallucinations and the Psychosis Spectrum. Biological Psychiatry 2018, 84: e43-e45. PMID: 30165952, PMCID: PMC6696907, DOI: 10.1016/j.biopsych.2018.07.015.Peer-Reviewed Original ResearchAligning Computational Psychiatry With the Hearing Voices Movement: Hearing Their Voices
Powers AR, Bien C, Corlett PR. Aligning Computational Psychiatry With the Hearing Voices Movement: Hearing Their Voices. JAMA Psychiatry 2018, 75: 640-641. PMID: 29801029, PMCID: PMC6129977, DOI: 10.1001/jamapsychiatry.2018.0509.Peer-Reviewed Original Research
2017
Pavlovian conditioning–induced hallucinations result from overweighting of perceptual priors
Powers AR, Mathys C, Corlett PR. Pavlovian conditioning–induced hallucinations result from overweighting of perceptual priors. Science 2017, 357: 596-600. PMID: 28798131, PMCID: PMC5802347, DOI: 10.1126/science.aan3458.Peer-Reviewed Original Research
2016
Varieties of Voice-Hearing: Psychics and the Psychosis Continuum
Powers AR, Kelley MS, Corlett PR. Varieties of Voice-Hearing: Psychics and the Psychosis Continuum. Schizophrenia Bulletin 2016, 43: 84-98. PMID: 28053132, PMCID: PMC5216860, DOI: 10.1093/schbul/sbw133.Peer-Reviewed Original ResearchConceptsPsychotic disordersSerious mental illnessVoice-hearing experiencesControl subjectsStudy populationProminent symptomContinuum of psychosisTreatment of voiceMental illnessProtective factorsPatientsNew study populationPsychosis continuumHelp-seeking groupDisordersHallucinatory experiencesVoice hearingSubjectsAuditory messagesVoice hearersPopulationSymptomsIllnessPsychosisDisease
2015
Ketamine-Induced Hallucinations
Powers A, Gancsos MG, Finn ES, Morgan PT, Corlett PR. Ketamine-Induced Hallucinations. Psychopathology 2015, 48: 376-385. PMID: 26361209, PMCID: PMC4684980, DOI: 10.1159/000438675.Peer-Reviewed Original ResearchConceptsAuditory verbal hallucinationsPerceptual inputVerbal hallucinationsPredictive coding modelDelusion-like ideasPerceptual disruptionsPerceptual expectationsPerceptual environmentCoding modelPhenomenological experienceSensory stimuliStimulation environmentAuditory hallucinationsHealthy participantsHallmark symptomFirst-episode psychosisMusical hallucinationsMRI scannerHallucinationsParticipantsMagnetic resonance imaging (MRI) scannerPsychosisAmotivationPerceptVivid hallucinations