2022
A graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults
Goldman DA, Sankar A, Rich A, Kim JA, Pittman B, Constable RT, Scheinost D, Blumberg HP. A graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults. Journal Of Affective Disorders 2022, 319: 15-26. PMID: 36103935, PMCID: PMC9669784, DOI: 10.1016/j.jad.2022.09.016.Peer-Reviewed Original ResearchConceptsAdolescents/young adultsMajor depressive disorderDepressive disorderYoung adultsICD increasesBipolar disorderInterhemispheric functional connectivityFunctional connectivity differencesSeed-based analysisFunctional connectivity patternsSeed-based connectivityFunctional magnetic resonanceFunctional connectivity measuresBasal gangliaFunctional dysconnectivityIllness progressionTreatment strategiesClinical measuresEarly diagnosisHC groupTargeted treatmentConnectivity differencesSuicide thoughtsFunctional connectivityDeleterious treatment
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
2014
N-Methyl-D-Aspartate Receptor Antagonist Effects on Prefrontal Cortical Connectivity Better Model Early Than Chronic Schizophrenia
Anticevic A, Corlett PR, Cole MW, Savic A, Gancsos M, Tang Y, Repovs G, Murray JD, Driesen NR, Morgan PT, Xu K, Wang F, Krystal JH. N-Methyl-D-Aspartate Receptor Antagonist Effects on Prefrontal Cortical Connectivity Better Model Early Than Chronic Schizophrenia. Biological Psychiatry 2014, 77: 569-580. PMID: 25281999, DOI: 10.1016/j.biopsych.2014.07.022.Peer-Reviewed Original ResearchConceptsHealthy volunteersFunctional connectivityKetamine effectsChronic schizophreniaIllness progressionChronic illnessHigh riskRecent pharmacologic studiesReceptor antagonist effectsAspartate glutamate receptorsStages of schizophreniaCourse of schizophreniaGlutamate dysfunctionPharmacologic modelsPrefrontal cortex functionIllness stageNMDAR antagonistsFunctional dysconnectivityGlutamate receptorsPharmacologic studiesHealthy subjectsSchizophrenia onsetFunctional alterationsDevelopment of therapeuticsAntagonist effects
2012
Error Monitoring Dysfunction Across the Illness Course of Schizophrenia
Perez VB, Ford JM, Roach BJ, Woods SW, McGlashan TH, Srihari VH, Loewy RL, Vinogradov S, Mathalon DH. Error Monitoring Dysfunction Across the Illness Course of Schizophrenia. Journal Of Psychopathology And Clinical Science 2012, 121: 372-387. PMID: 22060947, PMCID: PMC3358508, DOI: 10.1037/a0025487.Peer-Reviewed Original ResearchConceptsEarly illness schizophrenia patientsClinical high-risk patientsSchizophrenia patientsIllness courseAge-matched healthy controlsHigh-risk patientsAge-matched HCChronic schizophrenia patientsOnset of psychosisCorrect response negativityPE abnormalitiesRisk patientsCHR patientsClinical prodromeEvent-related potentialsIllness durationHealthy controlsIllness progressionPsychosis onsetPatientsAbnormalitiesIllnessResponse monitoringError-related negativityOnset
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