2021
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
Lee EE, Torous J, De Choudhury M, Depp CA, Graham SA, Kim HC, Paulus MP, Krystal JH, Jeste DV. Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2021, 6: 856-864. PMID: 33571718, PMCID: PMC8349367, DOI: 10.1016/j.bpsc.2021.02.001.Peer-Reviewed Original ResearchConceptsMental health careMental illnessHealth careMental health care providersHigh-risk individualsHealth care providersElectronic health recordsHigh morbiditySound careStudy groupAmerican CollegeCare providersPsychiatric disordersOwn careProdromal stageClinical diagnosisBrain imagingHealth recordsIllnessCareClinical applicationHealth care fieldIllustrative publicationsTreatmentNeurobiological research
2020
Predictive Processing in Mental Illness: Hierarchical Circuitry for Perception and Trauma
Kaye AP, Krystal JH. Predictive Processing in Mental Illness: Hierarchical Circuitry for Perception and Trauma. Journal Of Psychopathology And Clinical Science 2020, 129: 629-632. PMID: 32757606, DOI: 10.1037/abn0000628.Peer-Reviewed Original ResearchConceptsTrauma-related disordersPredictive processingDisorders of perceptionNeural circuitsHigher-order predictionsAbnormal psychologyPrediction errorSensory stimuliPredictive codingHierarchical circuitryPrior beliefsNew sensory dataPerceptionBayesian processPsychiatric disordersPsychotic disordersHierarchical viewHierarchical organizationMental illnessSensory dataBeliefsDisordersFuture directionsComputational layerProcessing
2019
Enhancing the Utility of Preclinical Research in Neuropsychiatry Drug Development
Kaffman A, White JD, Wei L, Johnson FK, Krystal JH. Enhancing the Utility of Preclinical Research in Neuropsychiatry Drug Development. Methods In Molecular Biology 2019, 2011: 3-22. PMID: 31273690, PMCID: PMC6895673, DOI: 10.1007/978-1-4939-9554-7_1.Peer-Reviewed Original ResearchConceptsPreclinical researchAnimal modelsPsychiatric conditionsLower clinical success ratesClinical success rateCommon psychiatric conditionsPsychiatric clinical trialsClinical trialsNew pharmacotherapiesMore effective interventionsPreclinical workPsychiatric disordersPsychiatric pathophysiologyMental illnessSystematic reviewEffective interventionsAnimal experimentsDrug development processSuccess rateDrug developmentHuman psychopathologyPharmaceutical companiesPredictive validityLarge pharmaceutical companiesAnimals
2016
The Connecticut Mental Health Center: Celebrating 50 Years of a Successful Partnership Between the State and Yale University
Steiner JL, Anez-Nava L, Baranoski M, Cole R, Davidson L, Delphin-Rittmon M, Dike C, DiLeo PJ, Duman RS, Kirk T, Krystal J, Malison RT, Rohrbaugh RM, Sernyak MJ, Srihari V, Styron T, Tebes JK, Woods S, Zonana H, Jacobs SC. The Connecticut Mental Health Center: Celebrating 50 Years of a Successful Partnership Between the State and Yale University. Psychiatric Services 2016, 67: 1286-1289. PMID: 27691379, DOI: 10.1176/appi.ps.201600373.Peer-Reviewed Original Research
2015
Early-Course Unmedicated Schizophrenia Patients Exhibit Elevated Prefrontal Connectivity Associated with Longitudinal Change
Anticevic A, Hu X, Xiao Y, Hu J, Li F, Bi F, Cole MW, Savic A, Yang GJ, Repovs G, Murray JD, Wang XJ, Huang X, Lui S, Krystal JH, Gong Q. Early-Course Unmedicated Schizophrenia Patients Exhibit Elevated Prefrontal Connectivity Associated with Longitudinal Change. Journal Of Neuroscience 2015, 35: 267-286. PMID: 25568120, PMCID: PMC4287147, DOI: 10.1523/jneurosci.2310-14.2015.Peer-Reviewed Original ResearchConceptsEarly course schizophreniaFunctional connectivityPrefrontal cortexImmediate symptom improvementSevere mental illnessEarly course patientsHealthy human subjectsHuman subjectsWhole-brain levelFunctional connectivity patternsResting-state fMRIIllness onsetSymptom improvementChronic illnessFunctional impairmentTherapeutic implicationsPFC connectivityOverall connection strengthMental illnessLongitudinal progressionLongitudinal changesSchizophrenia studiesSchizophreniaDiagnostic classificationPatients
2013
Characterizing Thalamo-Cortical Disturbances in Schizophrenia and Bipolar Illness
Anticevic A, Cole MW, Repovs G, Murray JD, Brumbaugh MS, Winkler AM, Savic A, Krystal JH, Pearlson GD, Glahn DC. Characterizing Thalamo-Cortical Disturbances in Schizophrenia and Bipolar Illness. Cerebral Cortex 2013, 24: 3116-3130. PMID: 23825317, PMCID: PMC4224238, DOI: 10.1093/cercor/bht165.Peer-Reviewed Original ResearchConceptsThalamo-cortical systemThalamic connectivityBipolar illnessResting-state functional magnetic resonance imagingSensory-motor cortexSevere mental illnessFunctional magnetic resonance imagingMagnetic resonance imagingThalamic dysconnectivityThalamic seedsClinical presentationNeuropsychiatric syndromeBrain dysconnectivityThalamic nucleiBipolar patientsSchizophrenia patientsSensory gatingMental illnessResonance imagingDysconnectivityCerebellar regionsDiagnostic membershipPrefrontal cortexSchizophreniaIllnessTranslational cognitive neuroscience of schizophrenia: bridging neurocognitive and computational approaches toward understanding cognitive deficits
Anticevic A, Krystal J, Barch D. Translational cognitive neuroscience of schizophrenia: bridging neurocognitive and computational approaches toward understanding cognitive deficits. 2013, 193-230. DOI: 10.1017/cbo9781139003872.013.Peer-Reviewed Original ResearchCognitive deficitsCognitive neuroscienceCourse of impairmentSevere mental illnessDeficitsSchizophreniaMental illnessPharmacological techniquesBiological contributionPrecise mechanismNeuroscienceIllnessLittle disputeRelated featuresStyleFunctional implicationsImpairmentManagement optionsImplicationsDisabilityPatientsSymptomsCliniciansDisease
2012
The role of default network deactivation in cognition and disease
Anticevic A, Cole MW, Murray JD, Corlett PR, Wang XJ, Krystal JH. The role of default network deactivation in cognition and disease. Trends In Cognitive Sciences 2012, 16: 584-592. PMID: 23142417, PMCID: PMC3501603, DOI: 10.1016/j.tics.2012.10.008.Peer-Reviewed Original ResearchConceptsDMN suppressionDefault network deactivationGoal-directed cognitionSpecific behavioral tasksDefault mode networkCognitive neurosciencePharmacological neuroimagingSuppression deficitsBehavioral tasksFocused attentionClinical neuroscienceTheoretical neuroscienceBrain regionsNeuroscienceCognitionSevere mental illnessMental illnessConsiderable bodyNeuroimagingTaskDeficitsDMNExternal environmentMindDisease
2011
New Frontiers in Animal Research of Psychiatric Illness
Kaffman A, Krystal J. New Frontiers in Animal Research of Psychiatric Illness. Methods In Molecular Biology 2011, 829: 3-30. PMID: 22231804, PMCID: PMC3337084, DOI: 10.1007/978-1-61779-458-2_1.Peer-Reviewed Original ResearchConceptsPsychiatric illnessAnimal modelsMental illnessHuman psychopathologyValid animal modelCurrent animal modelsNumerous psychiatric disordersMore effective interventionsResearch Domain Criteria projectInternational ClassificationPsychiatric disordersMeasurable endophenotypesIllnessNeurodevelopmental changesSubstance abuseEffective interventionsAnxiety disordersStatistical ManualMolecular changesDevelopmental originsMental disorders diagnostic systemsCircuit developmentTranslational workAnimal researchBehavioral outcomes
2010
Toward a neurobiology of delusions
Corlett PR, Taylor JR, Wang X, Fletcher PC, Krystal JH. Toward a neurobiology of delusions. Progress In Neurobiology 2010, 92: 345-369. PMID: 20558235, PMCID: PMC3676875, DOI: 10.1016/j.pneurobio.2010.06.007.Peer-Reviewed Original ResearchConceptsFundamental brain mechanismsFronto-striatal circuitsTerms of cognitionPsychological processesBrain mechanismsComputational mechanismsCortical hierarchyPrediction errorSocial learningParietal cortexExternal worldBrain circuitsNeurobiological abnormalitiesNeurobiology of delusionsBrain functionHierarchical predictionBodily agencyDelusionsMemoryReinforcement learningPerceptionMental illnessTranslational understandingLearningCognition
2009
Why Do Delusions Persist?
Corlett PR, Krystal JH, Taylor JR, Fletcher PC. Why Do Delusions Persist? Frontiers In Human Neuroscience 2009, 3: 12. PMID: 19636384, PMCID: PMC2713737, DOI: 10.3389/neuro.09.012.2009.Peer-Reviewed Original Research
2004
Nicotine effects on brain function and functional connectivity in schizophrenia
Jacobsen LK, D'Souza DC, Mencl WE, Pugh KR, Skudlarski P, Krystal JH. Nicotine effects on brain function and functional connectivity in schizophrenia. Biological Psychiatry 2004, 55: 850-858. PMID: 15050867, DOI: 10.1016/j.biopsych.2003.12.023.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnalysis of VarianceAttentionBrainBrain MappingBrief Psychiatric Rating ScaleCase-Control StudiesFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMemory, Short-TermMiddle AgedNeuropsychological TestsNicotineNicotinic AgonistsReaction TimeRegression AnalysisSchizophreniaSmokeTask Performance and AnalysisVerbal LearningConceptsTask performanceFunctional connectivityFunctional magnetic resonance imaging (fMRI) scanningBrain regionsN-back taskMultiple cognitive domainsNetwork of regionsDifficult task conditionsAnterior cingulate cortexAttention loadMemory loadSelective attentionCognitive domainsTask conditionsCognitive functionCingulate cortexThalamocortical functional connectivityNicotine effectsCognitive dysfunctionBrain functionSchizophrenia patientsControl subjectsSchizophrenic subjectsMagnetic resonance imaging (MRI) scanningMental illness
1999
Reduced Cortical γ-Aminobutyric Acid Levels in Depressed Patients Determined by Proton Magnetic Resonance Spectroscopy
Sanacora G, Mason GF, Rothman DL, Behar KL, Hyder F, Petroff OA, Berman RM, Charney DS, Krystal JH. Reduced Cortical γ-Aminobutyric Acid Levels in Depressed Patients Determined by Proton Magnetic Resonance Spectroscopy. JAMA Psychiatry 1999, 56: 1043-1047. PMID: 10565505, DOI: 10.1001/archpsyc.56.11.1043.Peer-Reviewed Original ResearchConceptsProton magnetic resonance spectroscopyDepressed patientsGABA levelsMedication-free depressed patientsOccipital cortex GABA levelsVivo proton magnetic resonance spectroscopyCortical GABA concentrationsGamma-aminobutyric acid (GABA) systemΓ-aminobutyric acid (GABA) levelsBrain GABA levelsMagnetic resonance spectroscopy protocolHealthy control subjectsDSM-IV criteriaGABA neurotransmitter systemEffect of depressionInteraction of diagnosisControl subjectsMajor depressionNeurotransmitter systemsHealthy subjectsOccipital cortexNeurobiologic processesAnalysis of covarianceGABA concentrationMental illness