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 formationMedial amygdalar tau is associated with mood symptoms in preclinical Alzheimer’s disease
Li J, Tun S, Ficek-Tani B, Xu W, Wang S, Horien C, Toyonaga T, Nuli S, Zeiss C, Powers A, Zhao Y, Mormino E, Fredericks C. Medial amygdalar tau is associated with mood symptoms in preclinical Alzheimer’s disease. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2024 PMID: 39059466, DOI: 10.1016/j.bpsc.2024.07.012.Peer-Reviewed Original ResearchAssociated with mood symptomsMood symptomsAmyloid-positive individualsMedial amygdalaSeed-based functional connectivity analysisAssociated with anxiety symptomsSelf-reported mood symptomsPost hoc correlation analysisAlzheimer's diseaseFunctional connectivity analysisPreclinical Alzheimer's diseaseTau bindingOrbitofrontal cortexTau depositionAmygdalar connectivityEmotional processingAnxiety symptomsRetrosplenial cortexBetween-group differencesAmygdalaFunctional connectivityLateral amygdalaConnectivity analysisDepression scoresNeuropsychiatric symptomsRecent social stress and severity of auditory hallucinations
Farina E, Mourgues-Codern C, Sibarium E, Powers A. Recent social stress and severity of auditory hallucinations. Schizophrenia Research 2024, 269: 64-70. PMID: 38733801, PMCID: PMC11180583, DOI: 10.1016/j.schres.2024.04.024.Peer-Reviewed Original ResearchHearing voicesVoice-hearersAuditory verbal hallucinationsNon-clinical voice-hearersCross-sectional designSocial stressDepressive symptom severitySelf-reported aspectsPsychosocial interventionsAuditory hallucinationsClinical distressAdverse social experiencesHearingSeverity of auditory hallucinationsAdministered self-report measuresRecent stressMedication-resistant auditory verbal hallucinationsDistressRelational demographicsDaily social stressRegression modelsSocial stressorsSymptom severityAuditory experienceHallucination severity11. Role of Prediction Errors in the Relationship Between Ethnoracial Discrimination and Delusions
Huque Z, O'Brien K, Rossi-Goldthorpe R, Kenney J, Mittal V, Strauss G, Walker E, Schiffman J, Woods S, Powers A, Silverstein S, Waltz J, Gold J, Corlett P, Ellman L. 11. Role of Prediction Errors in the Relationship Between Ethnoracial Discrimination and Delusions. Biological Psychiatry 2024, 95: s78-s79. DOI: 10.1016/j.biopsych.2024.02.189.Peer-Reviewed Original ResearchDifferent learning aberrations relate to delusion-like beliefs with different contents
Rossi-Goldthorpe R, Silverstein S, Gold J, Schiffman J, Waltz J, Williams T, Powers A, Woods S, Zinbarg R, Mittal V, Ellman L, Strauss G, Walker E, Levin J, Castiello S, Kenney J, Corlett P. Different learning aberrations relate to delusion-like beliefs with different contents. Brain 2024, 147: 2854-2866. PMID: 38637303, PMCID: PMC11292907, DOI: 10.1093/brain/awae122.Peer-Reviewed Original ResearchProbabilistic reversal learningDelusion-like beliefsProbabilistic reversal learning taskBlocked cueControl cuesBelief convictionBlock taskClinical high-risk statusKamin blocking taskSymptom-specific effectsPrediction error accountLevels of paranoiaIntact learningAberrant learningKamin blockingParanoid individualsPersecutory delusionsCue presentationReversal learningPredicting psychosisCognitive tasksBehavioral resultsDecreased learningDelusionsParanoiaA 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 formationThe 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 ResearchAccelerating 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 needsCorrection: 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 ResearchOn 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 MEDLINE
2023
Evidence for Reduced Sensory Precision and Increased Reliance on Priors in Hallucination-Prone Individuals in a General Population Sample
Benrimoh D, Fisher V, Seabury R, Sibarium E, Mourgues C, Chen D, Powers A. Evidence for Reduced Sensory Precision and Increased Reliance on Priors in Hallucination-Prone Individuals in a General Population Sample. Schizophrenia Bulletin 2023, 50: 349-362. PMID: 37830405, PMCID: PMC10919780, DOI: 10.1093/schbul/sbad136.Peer-Reviewed Original ResearchSensory evidenceSensory precisionHallucinatory experiencesHallucination severityCH rateHallucination-prone individualsIncoming sensory evidencePrior weightingLinguistic versionsGaussian filter modelNonlinguistic stimuliPerceptual inferencePerceptual statesPerceptual beliefsResponse confidenceAuditory informationTask behaviorGeneral population sampleOnline sampleAuditory hallucinationsGeneral population participantsStimuliPast resultsParticipantsTaskDevelopment of the PSYCHS: Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS
Woods S, Parker S, Kerr M, Walsh B, Wijtenburg S, Prunier N, Nunez A, Buccilli K, Mourgues‐Codern C, Brummitt K, Kinney K, Trankler C, Szacilo J, Colton B, Ali M, Haidar A, Billah T, Huynh K, Ahmed U, Adery L, Marcy P, Allott K, Amminger P, Arango C, Broome M, Cadenhead K, Chen E, Choi J, Conus P, Cornblatt B, Glenthøj L, Horton L, Kambeitz J, Kapur T, Keshavan M, Koutsouleris N, Langbein K, Lavoie S, Diaz‐Caneja C, Mathalon D, Mittal V, Nordentoft M, Pasternak O, Pearlson G, Gaspar P, Shah J, Smesny S, Stone W, Strauss G, Wang J, Corcoran C, Perkins D, Schiffman J, Perez J, Mamah D, Ellman L, Powers A, Coleman M, Anticevic A, Fusar‐Poli P, Kane J, Kahn R, McGorry P, Bearden C, Shenton M, Nelson B, Calkins M, Hendricks L, Bouix S, Addington J, McGlashan T, Yung A, Schizophrenia T. Development of the PSYCHS: Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS. Early Intervention In Psychiatry 2023, 18: 255-272. PMID: 37641537, PMCID: PMC10899527, DOI: 10.1111/eip.13457.Peer-Reviewed Original ResearchBarriers 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 projectEffects 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 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 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 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 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 ResearchA novel computational approach to pain perception modelling within a Bayesian framework using quantitative sensory testing
Drusko A, Baumeister D, McPhee Christensen M, Kold S, Fisher V, Treede R, Powers A, Graven-Nielsen T, Tesarz J. A novel computational approach to pain perception modelling within a Bayesian framework using quantitative sensory testing. Scientific Reports 2023, 13: 3196. PMID: 36823292, PMCID: PMC9950064, DOI: 10.1038/s41598-023-29758-8.Peer-Reviewed Original ResearchConceptsHierarchical Gaussian FilterPrior expectationsRelevant individual differencesPain perceptionLearning-based interventionsTesting paradigmCognitive processesSensory evidenceIndividual differencesPsychophysical paradigmInferential processesVisual cuesElectrical cutaneous stimulusPrior weightingPerceptionPain stimuliPrior beliefsIndividual levelNociceptive inputBeliefsGreater relianceStimuliStrong weightingAcute pain stimuliParadigmComparing 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