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 formation
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 valueMeasures