2024
Human brain state dynamics are highly reproducible and associated with neural and behavioral features
Lee K, Ji J, Fonteneau C, Berkovitch L, Rahmati M, Pan L, Repovš G, Krystal J, Murray J, Anticevic A. Human brain state dynamics are highly reproducible and associated with neural and behavioral features. PLOS Biology 2024, 22: e3002808. PMID: 39316635, PMCID: PMC11421804, DOI: 10.1371/journal.pbio.3002808.Peer-Reviewed Original ResearchMeSH KeywordsAdultBehaviorBrainBrain MappingCognitionFemaleHumansMagnetic Resonance ImagingMaleReproducibility of ResultsYoung AdultConceptsCo-activation patternsResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingBehavioral featuresNeural variationsMoment-to-moment changesSingle-subject levelBrain state dynamicsEmotion regulationHealthy young adultsBehavioral phenotypesCognitive functionSubstance useNeural activityNeuroimaging markersNeural featuresYoung adultsMagnetic resonance imagingCo-activationResonance imagingCo-variationNeuroimagingIndividualsEmotionsFunctional outcomes
2023
Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium
Zhu X, Kim Y, Ravid O, He X, Suarez-Jimenez B, Zilcha-Mano S, Lazarov A, Lee S, Abdallah C, Angstadt M, Averill C, Baird C, Baugh L, Blackford J, Bomyea J, Bruce S, Bryant R, Cao Z, Choi K, Cisler J, Cotton A, Daniels J, Davenport N, Davidson R, DeBellis M, Dennis E, Densmore M, deRoon-Cassini T, Disner S, Hage W, Etkin A, Fani N, Fercho K, Fitzgerald J, Forster G, Frijling J, Geuze E, Gonenc A, Gordon E, Gruber S, Grupe D, Guenette J, Haswell C, Herringa R, Herzog J, Hofmann D, Hosseini B, Hudson A, Huggins A, Ipser J, Jahanshad N, Jia-Richards M, Jovanovic T, Kaufman M, Kennis M, King A, Kinzel P, Koch S, Koerte I, Koopowitz S, Korgaonkar M, Krystal J, Lanius R, Larson C, Lebois L, Li G, Liberzon I, Lu G, Luo Y, Magnotta V, Manthey A, Maron-Katz A, May G, McLaughlin K, Mueller S, Nawijn L, Nelson S, Neufeld R, Nitschke J, O'Leary E, Olatunji B, Olff M, Peverill M, Phan K, Qi R, Quidé Y, Rektor I, Ressler K, Riha P, Ross M, Rosso I, Salminen L, Sambrook K, Schmahl C, Shenton M, Sheridan M, Shih C, Sicorello M, Sierk A, Simmons A, Simons R, Simons J, Sponheim S, Stein M, Stein D, Stevens J, Straube T, Sun D, Théberge J, Thompson P, Thomopoulos S, van der Wee N, van der Werff S, van Erp T, van Rooij S, van Zuiden M, Varkevisser T, Veltman D, Vermeiren R, Walter H, Wang L, Wang X, Weis C, Winternitz S, Xie H, Zhu Y, Wall M, Neria Y, Morey R. Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium. NeuroImage 2023, 283: 120412. PMID: 37858907, PMCID: PMC10842116, DOI: 10.1016/j.neuroimage.2023.120412.Peer-Reviewed Original ResearchMeSH KeywordsBig DataBrainHumansMagnetic Resonance ImagingNeuroimagingReproducibility of ResultsStress Disorders, Post-TraumaticFunctional brain networks reflect spatial and temporal autocorrelation
Shinn M, Hu A, Turner L, Noble S, Preller K, Ji J, Moujaes F, Achard S, Scheinost D, Constable R, Krystal J, Vollenweider F, Lee D, Anticevic A, Bullmore E, Murray J. Functional brain networks reflect spatial and temporal autocorrelation. Nature Neuroscience 2023, 26: 867-878. PMID: 37095399, DOI: 10.1038/s41593-023-01299-3.Peer-Reviewed Original ResearchNeural valuation of rewards and punishments in posttraumatic stress disorder: a computational approach
Jia R, Ruderman L, Pietrzak R, Gordon C, Ehrlich D, Horvath M, Mirchandani S, DeFontes C, Southwick S, Krystal J, Harpaz-Rotem I, Levy I. Neural valuation of rewards and punishments in posttraumatic stress disorder: a computational approach. Translational Psychiatry 2023, 13: 101. PMID: 36977676, PMCID: PMC10050320, DOI: 10.1038/s41398-023-02388-4.Peer-Reviewed Original ResearchMeSH KeywordsBrain MappingFearHumansMagnetic Resonance ImagingMalePrefrontal CortexPunishmentRewardStress Disorders, Post-TraumaticConceptsPosttraumatic stress disorderValuation systemStress disorderCombat veteransMaintenance of PTSDSubjective valueBrain valuation systemNeural valuation systemVentromedial prefrontal cortexFunctional MRI studyFunction of symptomsMale combat veteransNeural valuationSeries of choicesFear learningPunishment processingPosttrauma symptomsPTSD symptomsNeural encodingNeural mechanismsUncertain optionsPrefrontal cortexSubjective valuationVentral striatumMonetary gains
2022
A comparison of methods to harmonize cortical thickness measurements across scanners and sites
Sun D, Rakesh G, Haswell CC, Logue M, Baird CL, O'Leary EN, Cotton AS, Xie H, Tamburrino M, Chen T, Dennis EL, Jahanshad N, Salminen LE, Thomopoulos SI, Rashid F, Ching CRK, Koch SBJ, Frijling JL, Nawijn L, van Zuiden M, Zhu X, Suarez-Jimenez B, Sierk A, Walter H, Manthey A, Stevens JS, Fani N, van Rooij SJH, Stein M, Bomyea J, Koerte IK, Choi K, van der Werff SJA, Vermeiren RRJM, Herzog J, Lebois LAM, Baker JT, Olson EA, Straube T, Korgaonkar MS, Andrew E, Zhu Y, Li G, Ipser J, Hudson AR, Peverill M, Sambrook K, Gordon E, Baugh L, Forster G, Simons RM, Simons JS, Magnotta V, Maron-Katz A, du Plessis S, Disner SG, Davenport N, Grupe DW, Nitschke JB, deRoon-Cassini TA, Fitzgerald JM, Krystal JH, Levy I, Olff M, Veltman DJ, Wang L, Neria Y, De Bellis MD, Jovanovic T, Daniels JK, Shenton M, van de Wee NJA, Schmahl C, Kaufman ML, Rosso IM, Sponheim SR, Hofmann DB, Bryant RA, Fercho KA, Stein DJ, Mueller SC, Hosseini B, Phan KL, McLaughlin KA, Davidson RJ, Larson CL, May G, Nelson SM, Abdallah CG, Gomaa H, Etkin A, Seedat S, Harpaz-Rotem I, Liberzon I, van Erp TGM, Quidé Y, Wang X, Thompson PM, Morey RA. A comparison of methods to harmonize cortical thickness measurements across scanners and sites. NeuroImage 2022, 261: 119509. PMID: 35917919, PMCID: PMC9648725, DOI: 10.1016/j.neuroimage.2022.119509.Peer-Reviewed Original ResearchMultimodal neuroimaging of metabotropic glutamate 5 receptors and functional connectivity in alcohol use disorder
Smart K, Worhunsky PD, Scheinost D, Angarita GA, Esterlis I, Carson RE, Krystal JH, O'Malley SS, Cosgrove KP, Hillmer AT. Multimodal neuroimaging of metabotropic glutamate 5 receptors and functional connectivity in alcohol use disorder. Alcohol Clinical And Experimental Research 2022, 46: 770-782. PMID: 35342968, PMCID: PMC9117461, DOI: 10.1111/acer.14816.Peer-Reviewed Original ResearchMeSH KeywordsAlcoholismBrainBrain MappingGlutamic AcidHumansMagnetic Resonance ImagingNeuroimagingReceptor, Metabotropic Glutamate 5ConceptsMetabotropic glutamate 5 receptorsDefault mode networkFunctional magnetic resonance imagingReceptor availabilityPositron emission tomographyAUD groupFunctional connectivityReceptor positron emission tomographyResting-state functional magnetic resonance imagingNetwork-level functional connectivityBrain connectivityWeeks of abstinenceGlobal functional connectivityAlcohol use disorderMagnetic resonance imagingFMRI outcomesHealthy controlsSupervised abstinencePET resultsUse disordersSynaptic plasticityResonance imagingBrain regionsEmission tomographyOrbitofrontal cortexValidation of ketamine as a pharmacological model of thalamic dysconnectivity across the illness course of schizophrenia
Abram SV, Roach BJ, Fryer SL, Calhoun VD, Preda A, van Erp TGM, Bustillo JR, Lim KO, Loewy RL, Stuart BK, Krystal JH, Ford JM, Mathalon DH. Validation of ketamine as a pharmacological model of thalamic dysconnectivity across the illness course of schizophrenia. Molecular Psychiatry 2022, 27: 2448-2456. PMID: 35422467, PMCID: PMC9135621, DOI: 10.1038/s41380-022-01502-0.Peer-Reviewed Original ResearchMeSH KeywordsGlutamatesHallucinationsHumansKetamineLamotrigineMagnetic Resonance ImagingReceptors, N-Methyl-D-AspartateSchizophreniaConceptsThalamic dysconnectivityHealthy controlsDysconnectivity patternsIllness courseHealthy volunteersN-methyl-D-aspartate (NMDA) receptor hypofunctionResting-state functional magnetic resonance imaging studyHallucination severityEarly illness schizophreniaExcess glutamate releaseGlutamate release inhibitorNMDAR antagonist ketaminePlacebo-controlled studyMagnetic resonance imaging studySub-anesthetic dosesSchizophrenia-like symptomsResonance imaging studyFunctional magnetic resonance imaging studyKetamine infusionGlutamate releaseNMDAR hypofunctionReceptor hypofunctionKetamine effectsThalamic connectivityRelease inhibitorReward and loss incentives improve spatial working memory by shaping trial-by-trial posterior frontoparietal signals
Cho YT, Moujaes F, Schleifer CH, Starc M, Ji JL, Santamauro N, Adkinson B, Kolobaric A, Flynn M, Krystal JH, Murray JD, Repovs G, Anticevic A. Reward and loss incentives improve spatial working memory by shaping trial-by-trial posterior frontoparietal signals. NeuroImage 2022, 254: 119139. PMID: 35346841, PMCID: PMC9264479, DOI: 10.1016/j.neuroimage.2022.119139.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBrain MappingHumansMagnetic Resonance ImagingMemory, Short-TermMotivationParietal LobePrefrontal CortexRewardConceptsMemory precisionSpatial working memoryIntraparietal sulcusPrecentral sulcusWorking memoryMotivational signalsBOLD signalParietal cortexReward/lossVisual association regionsDorsolateral prefrontal cortexGoal-directed activityMemory paradigmMemory performanceMemory processesAnterior parietal cortexExecutive networkNeural changesSensory processesPrefrontal cortexLoss incentivesVentral striatumNon-human primate studiesTranslational neuroscienceMemoryRemodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium
Sun D, Rakesh G, Clarke-Rubright EK, Haswell CC, Logue MW, O'Leary EN, Cotton AS, Xie H, Dennis EL, Jahanshad N, Salminen LE, Thomopoulos SI, Rashid FM, Ching CRK, Koch SBJ, Frijling JL, Nawijn L, van Zuiden M, Zhu X, Suarez-Jimenez B, Sierk A, Walter H, Manthey A, Stevens JS, Fani N, van Rooij SJH, Stein MB, Bomyea J, Koerte I, Choi K, van der Werff SJA, Vermeiren RRJM, Herzog JI, Lebois LAM, Baker JT, Ressler KJ, Olson EA, Straube T, Korgaonkar MS, Andrew E, Zhu Y, Li G, Ipser J, Hudson AR, Peverill M, Sambrook K, Gordon E, Baugh LA, Forster G, Simons RM, Simons JS, Magnotta VA, Maron-Katz A, du Plessis S, Disner SG, Davenport ND, Grupe D, Nitschke JB, deRoon-Cassini TA, Fitzgerald J, Krystal JH, Levy I, Olff M, Veltman DJ, Wang L, Neria Y, De Bellis MD, Jovanovic T, Daniels JK, Shenton ME, van de Wee NJA, Schmahl C, Kaufman ML, Rosso IM, Sponheim SR, Hofmann DB, Bryant RA, Fercho KA, Stein DJ, Mueller SC, Phan KL, McLaughlin KA, Davidson RJ, Larson C, May G, Nelson SM, Abdallah CG, Gomaa H, Etkin A, Seedat S, Harpaz-Rotem I, Liberzon I, Wang X, Thompson PM, Morey RA. Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2022, 7: 935-948. PMID: 35307575, PMCID: PMC9835553, DOI: 10.1016/j.bpsc.2022.02.008.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCase-Control StudiesChildConnectomeHumansMagnetic Resonance ImagingMiddle AgedNeuroimagingStress Disorders, Post-TraumaticYoung AdultConceptsPosttraumatic stress disorderCortical thicknessStructural covarianceComorbid depressionControl subjectsLarge effect sizesStress disorderEffect sizeTrauma-exposed control subjectsCase-control differencesCortical surface areaInflammatory processClinical dataResting-state functional connectivity networksPositive pairwise correlationsCortical differencesCortical regionsCortical neuroanatomyStress hormonesFunctional connectivity networksPTSD casesSmall effect sizesGroup differencesStructural networkStructural connectome
2021
Assessment of brain age in posttraumatic stress disorder: Findings from the ENIGMA PTSD and brain age working groups
Clausen AN, Fercho KA, Monsour M, Disner S, Salminen L, Haswell CC, Rubright EC, Watts AA, Buckley MN, Maron-Katz A, Sierk A, Manthey A, Suarez-Jimenez B, Olatunji BO, Averill CL, Hofmann D, Veltman DJ, Olson EA, Li G, Forster GL, Walter H, Fitzgerald J, Théberge J, Simons JS, Bomyea JA, Frijling JL, Krystal JH, Baker JT, Phan KL, Ressler K, Han LKM, Nawijn L, Lebois LAM, Schmaal L, Densmore M, Shenton ME, van Zuiden M, Stein M, Fani N, Simons RM, Neufeld RWJ, Lanius R, van Rooij S, Koch SBJ, Bonomo S, Jovanovic T, deRoon-Cassini T, Ely TD, Magnotta VA, He X, Abdallah CG, Etkin A, Schmahl C, Larson C, Rosso IM, Blackford JU, Stevens JS, Daniels JK, Herzog J, Kaufman ML, Olff M, Davidson RJ, Sponheim SR, Mueller SC, Straube T, Zhu X, Neria Y, Baugh LA, Cole JH, Thompson PM, Morey RA. Assessment of brain age in posttraumatic stress disorder: Findings from the ENIGMA PTSD and brain age working groups. Brain And Behavior 2021, 12: e2413. PMID: 34907666, PMCID: PMC8785613, DOI: 10.1002/brb3.2413.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAgingBrainFemaleHumansMachine LearningMagnetic Resonance ImagingMaleMiddle AgedStress Disorders, Post-TraumaticYoung AdultConceptsPosttraumatic stress disorderEffects of PTSDBrain-PADBrain ageMale controlsOld maleStress disorderAge-related brain changesStructural magnetic resonance imagingBrain structural magnetic resonance imagingOlder age groupsMagnetic resonance imagingChronological ageSubset of controlsContext of PTSDControl subjectsBrain changesBrain agingFuture longitudinal researchTreatment approachesLinear mixed effects modelsAdult subjectsResonance imagingAge groupsPTSD assessmentEffects of the Fyn kinase inhibitor saracatinib on ventral striatal activity during performance of an fMRI monetary incentive delay task in individuals family history positive or negative for alcohol use disorder. A pilot randomised trial
Patel KT, Stevens MC, Dunlap A, Gallagher A, O’Malley S, DeMartini K, Potenza MN, Krystal JH, Pearlson GD. Effects of the Fyn kinase inhibitor saracatinib on ventral striatal activity during performance of an fMRI monetary incentive delay task in individuals family history positive or negative for alcohol use disorder. A pilot randomised trial. Neuropsychopharmacology 2021, 47: 840-846. PMID: 34475522, PMCID: PMC8882177, DOI: 10.1038/s41386-021-01157-5.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DrinkingAlcoholismBenzodioxolesHumansMagnetic Resonance ImagingMotivationPilot ProjectsQuinazolinesRewardConceptsProtein tyrosine kinasesSrc regulationSrc familyProtein kinaseTyrosine kinaseFyn kinaseSrc inhibitorSrc/FynDependent pathwayKinaseNMDAR upregulationNMDAR functionNMDA receptorsRegulationSaracatinibGluN2B subunitGlutamate receptorsFynInhibitorsReceptorsSubunitsN-methyl-D-aspartate (NMDA) glutamate receptorsPrevious evidence
2020
Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders
Barron DS, Gao S, Dadashkarimi J, Greene AS, Spann MN, Noble S, Lake EMR, Krystal JH, Constable RT, Scheinost D. Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders. Cerebral Cortex 2020, 31: 2523-2533. PMID: 33345271, PMCID: PMC8023861, DOI: 10.1093/cercor/bhaa371.Peer-Reviewed Original ResearchConceptsMacroscale brain networksIndividual differencesBrain networksMemory deficitsFunctional connectivityAttention deficit hyper-activity disorderTask-based functional MRI dataLong-term memoryWhole-brain functional connectivityDiagnostic groupsWhole-brain patternsDefault mode networkFunctional MRI dataHuman Connectome ProjectPsychiatric disordersMemory constructsMemory performanceTransdiagnostic sampleBrain correlatesMode networkFunctional connectomeConnectome ProjectLimbic networkHealthy participantsMemoryCortical volume abnormalities in posttraumatic stress disorder: an ENIGMA-psychiatric genomics consortium PTSD workgroup mega-analysis
Wang X, Xie H, Chen T, Cotton AS, Salminen LE, Logue MW, Clarke-Rubright EK, Wall J, Dennis EL, O’Leary B, Abdallah CG, Andrew E, Baugh LA, Bomyea J, Bruce SE, Bryant R, Choi K, Daniels JK, Davenport ND, Davidson RJ, DeBellis M, deRoon-Cassini T, Disner SG, Fani N, Fercho KA, Fitzgerald J, Forster GL, Frijling JL, Geuze E, Gomaa H, Gordon EM, Grupe D, Harpaz-Rotem I, Haswell CC, Herzog JI, Hofmann D, Hollifield M, Hosseini B, Hudson AR, Ipser J, Jahanshad N, Jovanovic T, Kaufman ML, King AP, Koch SBJ, Koerte IK, Korgaonkar MS, Krystal JH, Larson C, Lebois LAM, Levy I, Li G, Magnotta VA, Manthey A, May G, McLaughlin KA, Mueller SC, Nawijn L, Nelson SM, Neria Y, Nitschke JB, Olff M, Olson EA, Peverill M, Phan K, Rashid FM, Ressler K, Rosso IM, Sambrook K, Schmahl C, Shenton ME, Sierk A, Simons JS, Simons RM, Sponheim SR, Stein MB, Stein DJ, Stevens JS, Straube T, Suarez-Jimenez B, Tamburrino M, Thomopoulos SI, van der Wee NJA, van der Werff SJA, van Erp TGM, van Rooij SJH, van Zuiden M, Varkevisser T, Veltman DJ, Vermeiren RRJM, Walter H, Wang L, Zhu Y, Zhu X, Thompson PM, Morey RA, Liberzon I. Cortical volume abnormalities in posttraumatic stress disorder: an ENIGMA-psychiatric genomics consortium PTSD workgroup mega-analysis. Molecular Psychiatry 2020, 26: 4331-4343. PMID: 33288872, PMCID: PMC8180531, DOI: 10.1038/s41380-020-00967-1.Peer-Reviewed Original ResearchMeSH KeywordsCerebral CortexGenomicsHumansMagnetic Resonance ImagingStress Disorders, Post-TraumaticTemporal LobeConceptsPosttraumatic stress disorderLateral orbitofrontal gyrusPTSD patientsCortical regionsComorbid depressionCortical volumeVolume abnormalitiesStress disorderSuperior parietal gyrusRegional cortical volumesSuperior temporal gyrusPrefrontal regulatory regionsCerebral cortexControl subjectsRight insularLimbic regionsParietal gyrusPosttraumatic stress symptom severityStress symptom severityDepression symptomsOrbitofrontal gyrusSymptom severityTemporal gyrusPatientsAbnormalitiesA robust and reproducible connectome fingerprint of ketamine is highly associated with the connectomic signature of antidepressants
Abdallah CG, Ahn KH, Averill LA, Nemati S, Averill CL, Fouda S, Ranganathan M, Morgan PT, D’Souza D, Mathalon DH, Krystal JH, Driesen NR. A robust and reproducible connectome fingerprint of ketamine is highly associated with the connectomic signature of antidepressants. Neuropsychopharmacology 2020, 46: 478-485. PMID: 32967000, PMCID: PMC7852889, DOI: 10.1038/s41386-020-00864-9.Peer-Reviewed Original ResearchMeSH KeywordsAntidepressive AgentsConnectomeDepressive Disorder, MajorHumansKetamineMagnetic Resonance ImagingReproducibility of ResultsConceptsConnectome fingerprintN-methyl-d-aspartate modulatorsNovel rapid-acting antidepressantsMajor depressive disorder patientsMechanism of antidepressantsWeeks of sertralineRapid-acting antidepressantsMagnetic resonance imaging studyDepressive disorder patientsExecutive networkEffects of ketamineLongitudinal functional magnetic resonance imaging studyResonance imaging studyFunctional magnetic resonance imaging studyBrain functional connectivityCohort AIntravenous infusionSubanesthetic doseClinical trialsNormal salineDisorder patientsConnectomics signaturesBrain circuitryKetamineImaging studiesMapping Lithium in the Brain: New 3-Dimensional Methodology Reveals Regional Distribution in Euthymic Patients With Bipolar Disorder
Mason GF, Krystal JH. Mapping Lithium in the Brain: New 3-Dimensional Methodology Reveals Regional Distribution in Euthymic Patients With Bipolar Disorder. Biological Psychiatry 2020, 88: 367-368. PMID: 32792052, DOI: 10.1016/j.biopsych.2020.05.023.Peer-Reviewed Original ResearchDrinking and responses to antidrinking messages among young adults: An fMRI study
Garrison KA, DeMartini KS, Corlett PR, Worhunsky PD, Krystal JH, O'Malley SS. Drinking and responses to antidrinking messages among young adults: An fMRI study. Addiction Biology 2020, 26: e12882. PMID: 32068323, PMCID: PMC7431375, DOI: 10.1111/adb.12882.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultBinge DrinkingCuesFemaleHumansMagnetic Resonance ImagingMalePrefrontal CortexPublic Service Announcements as TopicRewardSmokingYoung AdultConceptsDrinking cuesNeural responsesYoung adultsFunctional magnetic resonanceSelf-reported drinkingPast monthNeutral cuesDrug cuesSmoking cuesHabitual responsesReward processingFMRI studyDrinking quantityCuesDependent individualsSubstance useAlcohol useBinge drinkingNegative consequencesGreater baselinePublic health campaignsExcessive drinkingHeavy drinkingHealth campaignsDrinking
2019
Regulation of Craving and Negative Emotion in Alcohol Use Disorder
Suzuki S, Mell MM, O'Malley SS, Krystal JH, Anticevic A, Kober H. Regulation of Craving and Negative Emotion in Alcohol Use Disorder. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2019, 5: 239-250. PMID: 31892465, PMCID: PMC7010564, DOI: 10.1016/j.bpsc.2019.10.005.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcohol DrinkingAlcoholismCravingEmotionsFemaleHumansMagnetic Resonance ImagingMaleConceptsAlcohol use disorderNegative emotionsNegative affectPrefrontal cortexIndividual differencesRegulation conditionsCognitive behavioral therapy treatmentEmotion regulation taskFunctional magnetic resonance imagingNegative affect conditionRegulation of cravingNegative alcohol expectanciesNotable individual differencesSelf-reported cravingBehavioral therapy treatmentUse disordersRegulation successCognitive strategiesAffect conditionRegulation strategiesAlcohol expectanciesPFC regionsNeural mechanismsRegulation taskAUD treatmentMeasuring the effects of ketamine on mGluR5 using [18F]FPEB and PET
Holmes SE, Gallezot JD, Davis MT, DellaGioia N, Matuskey D, Nabulsi N, Krystal JH, Javitch JA, DeLorenzo C, Carson RE, Esterlis I. Measuring the effects of ketamine on mGluR5 using [18F]FPEB and PET. Cerebrovascular And Brain Metabolism Reviews 2019, 40: 2254-2264. PMID: 31744389, PMCID: PMC7585925, DOI: 10.1177/0271678x19886316.Peer-Reviewed Original ResearchConceptsEffects of ketamineKetamine infusionGlutamate transmissionMetabotropic glutamate receptor 5Ketamine-induced effectsKetamine-induced changesGlutamate receptor 5Promising treatment targetDrug challenge studiesTwo-tissue compartment modelMGluR5 radioligandBlood pressureMGluR5 availabilityBaseline scanOutcome measuresHealthy subjectsHeart ratePsychiatric disordersReceptor 5Modulatory effectsMGluR5Treatment targetsChallenge studiesArterial input functionChallenge paradigmCue-elicited craving, thalamic activity, and physiological arousal in adult non-dependent drinkers
Wang W, Zhornitsky S, Le TM, Dhingra I, Zhang S, Krystal JH, Li CR. Cue-elicited craving, thalamic activity, and physiological arousal in adult non-dependent drinkers. Journal Of Psychiatric Research 2019, 116: 74-82. PMID: 31202048, PMCID: PMC6606341, DOI: 10.1016/j.jpsychires.2019.06.005.Peer-Reviewed Original ResearchConceptsSkin conductance responsesPhysiological arousalThalamic activityNeural processesNeutral cue exposureMediation analysisHigher skin conductance responsesCue exposure paradigmCue-related activationsCue-elicited cravingCue-elicited drugNon-dependent drinkersImportant sex differencesSkin conductance dataPharmacological therapyAlcohol drinkersNeural targetsAlcohol cravingExposure paradigmCue exposureNeural correlatesNeural basisConductance responsesWomenCue activitySchizophrenia Exhibits Bi-directional Brain-Wide Alterations in Cortico-Striato-Cerebellar Circuits
Ji JL, Diehl C, Schleifer C, Tamminga CA, Keshavan MS, Sweeney JA, Clementz BA, Hill SK, Pearlson G, Yang G, Creatura G, Krystal JH, Repovs G, Murray J, Winkler A, Anticevic A. Schizophrenia Exhibits Bi-directional Brain-Wide Alterations in Cortico-Striato-Cerebellar Circuits. Cerebral Cortex 2019, 29: 4463-4487. PMID: 31157363, PMCID: PMC6917525, DOI: 10.1093/cercor/bhy306.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainBrain MappingCerebellumCerebral CortexCorpus StriatumFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysSchizophreniaThalamusConceptsBrain-wide alterationsResting-state functional magnetic resonanceSensory-motor cortexFunctional magnetic resonanceNeural dysconnectivityPolysynaptic connectionsCortico-striatoFunctional disturbancesChronic patientsAssociation cortexFocal disruptionNeural effectsCerebellar circuitsPatientsDysconnectivityStriatal componentsSchizophreniaCortexSpecific alterationsHallmark featureCognitive performanceAlterationsFunctional pathwaysQuestion accountsMagnetic resonance