2024
Generalizable and replicable brain-based predictions of cognitive functioning across common psychiatric illness
Chopra S, Dhamala E, Lawhead C, Ricard J, Orchard E, An L, Chen P, Wulan N, Kumar P, Rubenstein A, Moses J, Chen L, Levi P, Holmes A, Aquino K, Fornito A, Harpaz-Rotem I, Germine L, Baker J, Yeo B, Holmes A. Generalizable and replicable brain-based predictions of cognitive functioning across common psychiatric illness. Science Advances 2024, 10: eadn1862. PMID: 39504381, PMCID: PMC11540040, DOI: 10.1126/sciadv.adn1862.Peer-Reviewed Original ResearchConceptsPrediction of cognitionCognitive functionPrediction of cognitive functionFunctional neuroimaging dataTransdiagnostic sampleComputational psychiatryPsychiatric illnessNeuroimaging dataCognitive impairmentCognitionPopulation-level datasetsPsychiatryAssociated with poor outcomesUK BiobankImpairmentBrainIllnessSymptomsPrediction studiesParticipantsPoor outcomeClinical studiesSamples
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 project
2022
Conditioned 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 ResearchConceptsGlutamate levelsAnterior insulaPrior beliefsCognitive modelPathophysiological theoriesAuditory cortexClinical hallucinationsAnterior cingulateComputational psychiatryNew treatmentsDorsolateral prefrontalVisual cuesPrior expectationsSame participantsHallucinationsInsulaNegative relationshipCurrent experienceMagnetic resonance spectroscopyBeliefsComputational modelingTone
2019
Neurocognitive Adaptation and Mental Health Vulnerability Following Maltreatment: The Role of Social Functioning
McCrory E, Ogle J, Gerin M, Viding E. Neurocognitive Adaptation and Mental Health Vulnerability Following Maltreatment: The Role of Social Functioning. Child Maltreatment 2019, 24: 435-451. PMID: 30897955, DOI: 10.1177/1077559519830524.Peer-Reviewed Original ResearchConceptsSocial functioningEarly maltreatment experiencesMental health vulnerabilitiesMental health problemsNeurocognitive adaptationsEmotion regulationThreat processingStudy of childrenReward processingComputational psychiatryMental health disordersMaltreatment experiencesLatent vulnerabilityChildhood maltreatmentSocial supportFunctioningHealth disordersNeural functionMaltreatmentHealth vulnerabilityProcessingHealth problemsVulnerabilityKey findingsAdolescents
2017
Computational Psychiatry and the Challenge of Schizophrenia
Krystal JH, Murray JD, Chekroud AM, Corlett PR, Yang G, Wang XJ, Anticevic A. Computational Psychiatry and the Challenge of Schizophrenia. Schizophrenia Bulletin 2017, 43: 473-475. PMID: 28338845, PMCID: PMC5464204, DOI: 10.1093/schbul/sbx025.Peer-Reviewed Original ResearchConceptsComputational psychiatryReinforcement learning theoryNeural circuit modelMachine learningComplex datasetsFormal modelLarge datasetsLearning theorySchizophrenia researchDatasetSchizophreniaFormal theoryEnormous challengesPsychiatryDisordersLearningChallengesTheoryDifficultiesModelReadersApplicationsResearchPath
2014
Computational Psychiatry
Wang XJ, Krystal JH. Computational Psychiatry. Neuron 2014, 84: 638-654. PMID: 25442941, PMCID: PMC4255477, DOI: 10.1016/j.neuron.2014.10.018.Peer-Reviewed Original Research
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