2024
A computational account of the development and evolution of psychotic symptoms.
Powers A, Angelos P, Bond A, Farina E, Fredericks C, Gandhi J, Greenwald M, Hernandez-Busot G, Hosein G, Kelley M, Mourgues C, Palmer W, Rodriguez-Sanchez J, Seabury R, Toribio S, Vin R, Weleff J, Woods S, Benrimoh D. A computational account of the development and evolution of psychotic symptoms. Biological Psychiatry 2024 PMID: 39260466, DOI: 10.1016/j.biopsych.2024.08.026.Peer-Reviewed Original ResearchPsychotic symptomsSymptom formationEmergence of psychotic symptomsConversion to psychosisPrediction error signalsIncoming sensory informationHallucination severityDiminished signal-to-noise ratioComputational accountPsychiatric interventionNeural systemsHallucinationsIncreasing convictionOver-reliancePsychosisSensory informationLongitudinal developmentSymptomsBelief formationA computational account of the development and evolution of psychotic symptoms
Powers A, Angelos P, Bond A, Farina E, Fredericks C, Gandhi J, Greenwald M, Hernandez-Busot G, Hosein G, Kelley M, Mourgues C, Palmer W, Rodriguez-Sanchez J, Seabury R, Toribio S, Vin R, Weleff J, Woods S, Benrimoh D. A computational account of the development and evolution of psychotic symptoms. Biological Psychiatry 2024, 5 PMID: 38699166, PMCID: PMC11065053, DOI: 10.1016/j.biopsych.2024.08.026.Peer-Reviewed Original ResearchPsychotic symptomsSymptom formationEmergence of psychotic symptomsConversion to psychosisPrediction error signalsIncoming sensory informationHallucination severityComputational accountPsychiatric interventionDiminished signal-to-noise ratioNeural systemsHallucinationsIncreasing convictionOver-reliancePsychosisSensory informationLongitudinal developmentSymptomsBelief formationAccelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis
Wannan C, Nelson B, Addington J, Allott K, Anticevic A, Arango C, Baker J, Bearden C, Billah T, Bouix S, Broome M, Buccilli K, Cadenhead K, Calkins M, Cannon T, Cecci G, Chen E, Cho K, Choi J, Clark S, Coleman M, Conus P, Corcoran C, Cornblatt B, Diaz-Caneja C, Dwyer D, Ebdrup B, Ellman L, Fusar-Poli P, Galindo L, Gaspar P, Gerber C, Glenthøj L, Glynn R, Harms M, Horton L, Kahn R, Kambeitz J, Kambeitz-Ilankovic L, Kane J, Kapur T, Keshavan M, Kim S, Koutsouleris N, Kubicki M, Kwon J, Langbein K, Lewandowski K, Light G, Mamah D, Marcy P, Mathalon D, McGorry P, Mittal V, Nordentoft M, Nunez A, Pasternak O, Pearlson G, Perez J, Perkins D, Powers A, Roalf D, Sabb F, Schiffman J, Shah J, Smesny S, Spark J, Stone W, Strauss G, Tamayo Z, Torous J, Upthegrove R, Vangel M, Verma S, Wang J, Rossum I, Wolf D, Wolff P, Wood S, Yung A, Agurto C, Alvarez-Jimenez M, Amminger P, Armando M, Asgari-Targhi A, Cahill J, Carrión R, Castro E, Cetin-Karayumak S, Chakravarty M, Cho Y, Cotter D, D’Alfonso S, Ennis M, Fadnavis S, Fonteneau C, Gao C, Gupta T, Gur R, Gur R, Hamilton H, Hoftman G, Jacobs G, Jarcho J, Ji J, Kohler C, Lalousis P, Lavoie S, Lepage M, Liebenthal E, Mervis J, Murty V, Nicholas S, Ning L, Penzel N, Poldrack R, Polosecki P, Pratt D, Rabin R, Eichi H, Rathi Y, Reichenberg A, Reinen J, Rogers J, Ruiz-Yu B, Scott I, Seitz-Holland J, Srihari V, Srivastava A, Thompson A, Turetsky B, Walsh B, Whitford T, Wigman J, Yao B, Yuen H, Ahmed U, Byun A, Chung Y, Do K, Hendricks L, Huynh K, Jeffries C, Lane E, Langholm C, Lin E, Mantua V, Santorelli G, Ruparel K, Zoupou E, Adasme T, Addamo L, Adery L, Ali M, Auther A, Aversa S, Baek S, Bates K, Bathery A, Bayer J, Beedham R, Bilgrami Z, Birch S, Bonoldi I, Borders O, Borgatti R, Brown L, Bruna A, Carrington H, Castillo-Passi R, Chen J, Cheng N, Ching A, Clifford C, Colton B, Contreras P, Corral S, Damiani S, Done M, Estradé A, Etuka B, Formica M, Furlan R, Geljic M, Germano C, Getachew R, Goncalves M, Haidar A, Hartmann J, Jo A, John O, Kerins S, Kerr M, Kesselring I, Kim H, Kim N, Kinney K, Krcmar M, Kotler E, Lafanechere M, Lee C, Llerena J, Markiewicz C, Matnejl P, Maturana A, Mavambu A, Mayol-Troncoso R, McDonnell A, McGowan A, McLaughlin D, McIlhenny R, McQueen B, Mebrahtu Y, Mensi M, Hui C, Suen Y, Wong S, Morrell N, Omar M, Partridge A, Phassouliotis C, Pichiecchio A, Politi P, Porter C, Provenzani U, Prunier N, Raj J, Ray S, Rayner V, Reyes M, Reynolds K, Rush S, Salinas C, Shetty J, Snowball C, Tod S, Turra-Fariña G, Valle D, Veale S, Whitson S, Wickham A, Youn S, Zamorano F, Zavaglia E, Zinberg J, Woods S, Shenton M. Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis. Schizophrenia Bulletin 2024, 50: 496-512. PMID: 38451304, PMCID: PMC11059785, DOI: 10.1093/schbul/sbae011.Peer-Reviewed Original ResearchClinical high-risk individualsClinical high riskNational Institute of Mental HealthInstitute of Mental HealthAttenuated positive symptomsPersistent negative symptomsTransition to psychosisCHR statusHigh riskNegative symptomsPositive symptomsAnxiety symptomsPsychosocial functioningCognitive dataOutcomes of individualsDigital health technologiesDaily surveysPsychosisSCZPublic health needsMental healthNovel pharmacological interventionsSchizophreniaClinical outcomesHealth needs
2023
Self-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 ResearchConceptsClinical 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 ResearchConceptsCHR 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 thoughtsIndividualsParticipantsComparing a Computerized Digit Symbol Test to a Pen-and-Paper Classic
Pratt D, Luther L, Kinney K, Osborne K, Corlett P, Powers A, Woods S, Gold J, Schiffman J, Ellman L, Strauss G, Walker E, Zinbarg R, Waltz J, Silverstein S, Mittal V. Comparing a Computerized Digit Symbol Test to a Pen-and-Paper Classic. Schizophrenia Bulletin Open 2023, 4: sgad027. PMID: 37868160, PMCID: PMC10590153, DOI: 10.1093/schizbullopen/sgad027.Peer-Reviewed Original ResearchClinical high riskCHR individualsFinger-tapping taskMotor ability measuresDigit symbol testCHR stateHealthy controlsHigh riskClinical InterviewPersistent subgroupSymbol testPersistent groupImpairmentPaper versionMotor abilitiesTask performance differencesComputerized versionSimilar degreeEffect sizeMeasures impairmentPsychosisCoding TestRemote assessmentSubgroupsDigit-symbol task
2022
A computational lens on menopause-associated psychosis
Fisher VL, Ortiz LS, Powers AR. A computational lens on menopause-associated psychosis. Frontiers In Psychiatry 2022, 13: 906796. PMID: 35990063, PMCID: PMC9381820, DOI: 10.3389/fpsyt.2022.906796.Peer-Reviewed Original ResearchEstrogen declinePsychotic symptomsNew-onset psychosisPathogenesis of psychosisPsychotic episodeNeural pathwaysSymptom presentationAge groupsImpair functioningProtective factorsPsychosisRisk periodSymptomsPatient-specific pathwaysDisease statesEarly adulthoodBiological correlatesNeural mechanismsEstrogenSex differencesEpisodesLatent stateExtreme distressMenopausePathogenesisThree 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 validityQuestionnaire
2021
Computational Mechanism for the Effect of Psychosis Community Treatment: A Conceptual Review From Neurobiology to Social Interaction
Benrimoh D, Sheldon A, Sibarium E, Powers AR. Computational Mechanism for the Effect of Psychosis Community Treatment: A Conceptual Review From Neurobiology to Social Interaction. Frontiers In Psychiatry 2021, 12: 685390. PMID: 34385938, PMCID: PMC8353084, DOI: 10.3389/fpsyt.2021.685390.Peer-Reviewed Original ResearchComputational modelAssertive community treatmentProcessing-based accountExperience of psychosisEvidence-based clinical interventionsCommunity treatmentPrevious computational modelsCognitive resourcesPositive psychotic symptomsComputational underpinningsComputational mechanismsSocial interactionStrong social elementSensory informationPositive symptomsConceptual reviewClinical interventionsEarly psychosisSocial elementsCandidate mechanismPsychotic symptomsNeurobiologyPsychosisConceptual paperMultiple levelsIncreased face detection responses on the mooney faces test in people at clinical high risk for psychosis
Silverstein SM, Thompson JL, Gold JM, Schiffman J, Waltz JA, Williams TF, Zinbarg RE, Mittal VA, Ellman LM, Strauss GP, Walker EF, Woods SW, Levin JA, Kafadar E, Kenney J, Smith D, Powers AR, Corlett PR. Increased face detection responses on the mooney faces test in people at clinical high risk for psychosis. Schizophrenia 2021, 7: 26. PMID: 34001909, PMCID: PMC8129098, DOI: 10.1038/s41537-021-00156-1.Peer-Reviewed Original ResearchClinical high riskFace perceptionCHR groupDegraded face imagesCognitive processesPerceptual sensitivityRisk mental stateMotivational mechanismsVisual perceptionFace testPerceptual abnormalitiesMental statesCHR participantsCHR subjectsMore facePerceptionDetection responseFace imagesYoung peoplePsychosisClinical measuresParticipantsPrior workFacePrior studiesComputerized Assessment of Psychosis Risk †
Mittal VA, Ellman LM, Strauss GP, Walker EF, Corlett PR, Schiffman J, Woods SW, Powers AR, Silverstein SM, Waltz JA, Zinbarg R, Chen S, Williams T, Kenney J, Gold JM. Computerized Assessment of Psychosis Risk †. Journal Of Psychiatry And Brain Science 2021, 6: e210011. PMID: 34307899, PMCID: PMC8302046, DOI: 10.20900/jpbs.20210011.Peer-Reviewed Original ResearchClinical high riskComputerized assessmentPsychosis riskPsychosis risk calculatorHelp-seeking individualsBehavioral tasksComputational mechanismsNeurobiological systemsCHR participantsCHR groupCHR researchGroup differencesIllness mechanismsClinical InterviewCutting-edge computational methodsOutcomes two yearsHealthy controlsYoung peoplePrevention effortsMinimal trainingPsychosisTrainingRisk individualsLearning methodsIndividuals
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 ResearchConceptsClinical 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 valueMeasuresParacingulate 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 ResearchConceptsAuditory 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
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 thirdPatientsMonthsReliability, Validity, Epidemiology, and Cultural Variation of the Structured Interview for Psychosis-Risk Syndromes (SIPS) and the Scale of Psychosis-Risk Symptoms (SOPS)
Woods S, Walsh B, Powers A, McGlashan T. Reliability, Validity, Epidemiology, and Cultural Variation of the Structured Interview for Psychosis-Risk Syndromes (SIPS) and the Scale of Psychosis-Risk Symptoms (SOPS). 2019, 85-113. DOI: 10.1007/978-3-030-17336-4_5.Peer-Reviewed Original ResearchPsychosis risk syndromePsychosis risk symptomsClinical high-risk syndromeHigh-risk syndromeStructured interviewsInter-rater reliabilityCHR casesSeverity ScaleSIPS diagnosesEpidemiology studiesTotal scoreSyndromeSymptom subtypesCHR sampleFavorable psychometric propertiesSymptomsPsychometric propertiesDiagnostic instrumentDiscriminant validityMedian inter-rater reliabilityGeneral itemsEpidemiologyPrevalencePsychosisSubtypesDoes 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 riskScoresIndividualsExperienceBeyond 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 subjectsSupportInference
2017
Lack of Diagnostic Pluripotentiality in Patients at Clinical High Risk for Psychosis: Specificity of Comorbidity Persistence and Search for Pluripotential Subgroups
Woods SW, Powers AR, Taylor JH, Davidson CA, Johannesen JK, Addington J, Perkins DO, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Seidman LJ, Tsuang MT, Walker EF, McGlashan TH. Lack of Diagnostic Pluripotentiality in Patients at Clinical High Risk for Psychosis: Specificity of Comorbidity Persistence and Search for Pluripotential Subgroups. Schizophrenia Bulletin 2017, 44: 254-263. PMID: 29036402, PMCID: PMC5814797, DOI: 10.1093/schbul/sbx138.Peer-Reviewed Original ResearchConceptsCHR syndromeDiagnostic outcomesCHR subgroupsClinical high-risk syndromeHigh-risk syndromeOnset of psychosisClinical high riskPersistence of anxietyEmergent psychosisCHR patientsRisk syndromeObservational studyCHR casesHigh riskNonpsychotic disordersComorbid disordersComparison subjectsBipolar disorderDiagnostic InterviewSyndromeDSM-IVPatientsPsychosisDiagnostic specificityComparison group