2023
Effects of exercise intervention on psychotic symptoms: A meta-analysis and hypothetical model of neurobiological mechanisms
Oliva H, Monteiro-Junior R, Oliva I, Powers A. Effects of exercise intervention on psychotic symptoms: A meta-analysis and hypothetical model of neurobiological mechanisms. Progress In Neuro-Psychopharmacology And Biological Psychiatry 2023, 125: 110771. PMID: 37075881, DOI: 10.1016/j.pnpbp.2023.110771.Peer-Reviewed Original ResearchConceptsExercise interventionGeneral symptomsPsychotic symptomsEfficacy of exerciseEffects of exerciseSpecific brain areasWeb of ScienceCochrane CENTRALSymptom improvementTemporal lobeBrain areasLarge effect sizesPsychotic patientsPositive symptomsNegative symptomsSymptomsNeurobiological mechanismsNeurophysiology studiesInterventionExerciseEffect sizeDatabase searchSignificant improvementNeurobiological modelsPatientsSampling 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 ResearchMeSH KeywordsHumansLongitudinal StudiesNorth AmericaProdromal SymptomsProtective FactorsPsychotic DisordersConceptsFirst-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 programSelf-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
2022
Accelerated cortical thinning precedes and predicts conversion to psychosis: The NAPLS3 longitudinal study of youth at clinical high-risk
Collins M, Ji J, Chung Y, Lympus C, Afriyie-Agyemang Y, Addington J, Goodyear B, Bearden C, Cadenhead K, Mirzakhanian H, Tsuang M, Cornblatt B, Carrión R, Keshavan M, Stone W, Mathalon D, Perkins D, Walker E, Woods S, Powers A, Anticevic A, Cannon T. Accelerated cortical thinning precedes and predicts conversion to psychosis: The NAPLS3 longitudinal study of youth at clinical high-risk. Molecular Psychiatry 2022, 28: 1182-1189. PMID: 36434057, PMCID: PMC10005940, DOI: 10.1038/s41380-022-01870-7.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentCerebral Cortical ThinningEthnicityFemaleHumansLongitudinal StudiesMaleMinority GroupsProdromal SymptomsPsychotic DisordersConceptsCHR-NCPercent thickness changeCortical thinningPsychosis onsetHealth controlsProgressive grey matter lossNorth American Prodrome Longitudinal StudyClinical high-risk individualsGray matter lossHigh-risk individualsLongitudinal studyGreater percent decreaseNovel treatment targetsParietal cortical regionsTargeted early interventionsCortical thicknessCortical areasMRI scansCHR individualsTreatment targetsEarly interventionCortical regionsLeft hemisphere regionsROC analysisHC participantsMathematical nosology: Computational approaches to understanding psychosis
Powers AR. Mathematical nosology: Computational approaches to understanding psychosis. Schizophrenia Research 2022, 245: 1-4. PMID: 35697570, DOI: 10.1016/j.schres.2022.05.025.Peer-Reviewed Original ResearchHumansPsychotic DisordersThree 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 ResearchMeSH KeywordsHallucinationsHumansNeuropsychological TestsPsychometricsPsychotic DisordersReproducibility of ResultsSelf ReportSurveys and QuestionnairesConceptsProdromal 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 Statements
2020
Enhancing Psychosis Risk Prediction Through Computational Cognitive Neuroscience
Gold JM, Corlett PR, Strauss GP, Schiffman J, Ellman LM, Walker EF, Powers AR, Woods SW, Waltz JA, Silverstein SM, Mittal VA. Enhancing Psychosis Risk Prediction Through Computational Cognitive Neuroscience. Schizophrenia Bulletin 2020, 46: 1346-1352. PMID: 32648913, PMCID: PMC7707066, DOI: 10.1093/schbul/sbaa091.Peer-Reviewed Original ResearchMeSH KeywordsCognitive NeuroscienceDisease ProgressionHumansProdromal SymptomsPrognosisPsychotic DisordersRisk AssessmentSchizophreniaConceptsClinical high riskComputational cognitive neuroscienceNew behavioral measureCognitive neuroscienceBehavioral measuresPsychosis risk predictionCognitive mechanismsTrait vulnerabilityDisorganization symptomsNeural systemsPsychosis symptomsPsychosis riskSpecialized interviewsPhenotype measuresNeuroscienceCHR assessmentTreatment targetsPsychotic disordersCourse of illnessInterview methodPsychosisNew treatment targetsIllness progressionPositive predictive valueMeasuresModeling 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 populationsCounterpoint. Early intervention for psychosis risk syndromes: Minimizing risk and maximizing benefit
Woods SW, Bearden CE, Sabb FW, Stone WS, Torous J, Cornblatt BA, Perkins DO, Cadenhead KS, Addington J, Powers AR, Mathalon DH, Calkins ME, Wolf DH, Corcoran CM, Horton LE, Mittal VA, Schiffman J, Ellman LM, Strauss GP, Mamah D, Choi J, Pearlson GD, Shah JL, Fusar-Poli P, Arango C, Perez J, Koutsouleris N, Wang J, Kwon JS, Walsh BC, McGlashan TH, Hyman SE, Gur RE, Cannon TD, Kane JM, Anticevic A. Counterpoint. Early intervention for psychosis risk syndromes: Minimizing risk and maximizing benefit. Schizophrenia Research 2020, 227: 10-17. PMID: 32402605, PMCID: PMC8218020, DOI: 10.1016/j.schres.2020.04.020.Peer-Reviewed Original ResearchConceptsRisk syndrome
2019
Predictive validity of conversion from the clinical high risk syndrome to frank psychosis
Yoviene Sykes LA, Ferrara M, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Perkins DO, Mathalon DH, Seidman LJ, Tsuang MT, Walker EF, McGlashan TH, Woodberry KA, Powers AR, Ponce AN, Cahill JD, Pollard JM, Srihari VH, Woods SW. Predictive validity of conversion from the clinical high risk syndrome to frank psychosis. Schizophrenia Research 2019, 216: 184-191. PMID: 31864837, PMCID: PMC7239715, DOI: 10.1016/j.schres.2019.12.002.Peer-Reviewed Original ResearchConceptsFrank psychosisFirst-episode psychosis patientsOne-yearNorth American Prodromal Longitudinal StudySeverity of illnessClinical high-risk syndromeCurrent antipsychotic medicationsHigh-risk syndromePsychosis risk syndromeClinical high riskPredictive validityFEP casesPrescription ratesAntipsychotic medicationPsychosis patientsRisk syndromePsychosis onsetHigh riskLittle investigative attentionDiagnostic stabilityCHR individualsPsychosis paradigmPsychosisLongitudinal studySyndromeDuration of the psychosis prodrome
Powers AR, Addington J, Perkins DO, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Mathalon DH, Seidman LJ, Tsuang MT, Walker EF, McGlashan TH, Woods SW. Duration of the psychosis prodrome. Schizophrenia Research 2019, 216: 443-449. PMID: 31806523, PMCID: PMC7539292, DOI: 10.1016/j.schres.2019.10.051.Peer-Reviewed Original ResearchConceptsSyndrome onsetPsychosis prodromeNorth American Prodrome Longitudinal StudyCHR-P patientsClinical high-risk syndromeHigh-risk syndromePsychosis risk syndromeMedication exposureProdromal periodFrank psychosisRisk syndromeProdromePsychosisLongitudinal studySyndromeOnsetStructured interviewsDurationFirst descriptionThirdYearsFinal thirdPatientsMonthsPsychotic Experiences in the General Population
Powers AR. Psychotic Experiences in the General Population. JAMA Psychiatry 2019, 76: 1228-1229. PMID: 31553416, PMCID: PMC8215730, DOI: 10.1001/jamapsychiatry.2019.2391.Peer-Reviewed Original ResearchHumansPsychotic DisordersDoes 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 Research