2019
Altered functional connectivity and low-frequency signal fluctuations in early psychosis and genetic high risk
Tang Y, Zhou Q, Chang M, Chekroud A, Gueorguieva R, Jiang X, Zhou Y, He G, Rowland M, Wang D, Fu S, Yin Z, Leng H, Wei S, Xu K, Wang F, Krystal JH, Driesen NR. Altered functional connectivity and low-frequency signal fluctuations in early psychosis and genetic high risk. Schizophrenia Research 2019, 210: 172-179. PMID: 30685394, DOI: 10.1016/j.schres.2018.12.041.Peer-Reviewed Original ResearchConceptsFunctional connectivityHigh-risk individualsAltered functional connectivityHealthy comparison subjectsGenetic high riskGenetic high-risk individualsLow-frequency signal fluctuationsFunctional magnetic resonanceALFF abnormalitiesALFF measuresFunctional connectivity measuresBasal gangliaFirst episodeHigh riskEarly psychosisComparison subjectsSchizophrenia diathesisSchizophrenia vulnerabilityFESzGenetic riskLow-frequency fluctuationsIllnessSchizophreniaVoxel connectivityGHR
2018
Multivariate Pattern Analysis of Genotype–Phenotype Relationships in Schizophrenia
Zheutlin AB, Chekroud AM, Polimanti R, Gelernter J, Sabb FW, Bilder RM, Freimer N, London ED, Hultman CM, Cannon TD. Multivariate Pattern Analysis of Genotype–Phenotype Relationships in Schizophrenia. Schizophrenia Bulletin 2018, 44: 1045-1052. PMID: 29534239, PMCID: PMC6101611, DOI: 10.1093/schbul/sby005.Peer-Reviewed Original ResearchConceptsMultivariate pattern analysisIndependent samplesVisual memoryCognitive endophenotypesPredictive strengthSchizophreniaMemoryIndividual variationPattern analysisSingle predictorCertain domainsDiscovery samplePsychiatric patientsPolygenic risk scoresPredictive powerScoresEndophenotypesPotential relationshipRelationshipRandom forestGenetic risk variantsLimited setPredictorsComprehensive setSamples
2017
Reevaluating the Efficacy and Predictability of Antidepressant Treatments: A Symptom Clustering Approach
Chekroud AM, Gueorguieva R, Krumholz HM, Trivedi MH, Krystal JH, McCarthy G. Reevaluating the Efficacy and Predictability of Antidepressant Treatments: A Symptom Clustering Approach. JAMA Psychiatry 2017, 74: 370-378. PMID: 28241180, PMCID: PMC5863470, DOI: 10.1001/jamapsychiatry.2017.0025.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAffectAgedAntidepressive AgentsBupropionCitalopramCluster AnalysisDepressive Disorder, MajorDose-Response Relationship, DrugDrug Therapy, CombinationDuloxetine HydrochlorideFemaleHumansMaleMianserinMiddle AgedMirtazapineRandomized Controlled Trials as TopicSleepSyndromeTreatment OutcomeVenlafaxine HydrochlorideYoung AdultConceptsCore emotional symptomsDepressive severitySymptom clustersHamilton Depression Rating ScaleDepression Outcomes trialDifferent antidepressant medicationsHAM-D scaleHigh-dose duloxetinePhase 3 trialEmotional symptomsPatient-reported dataDepression Rating ScaleSequenced Treatment AlternativesGroup of symptomsCluster of symptomsDepressive symptom checklistMixed-effects regression analysisDepressive Symptomatology ScaleAntidepressant therapyAntidepressant treatmentAntidepressant medicationOutcome trialsCombining MedicationsAtypical symptomsAdditional placeboThe Role of microRNA Expression in Cortical Development During Conversion to Psychosis
Zheutlin AB, Jeffries CD, Perkins DO, Chung Y, Chekroud AM, Addington J, Bearden CE, Cadenhead KS, Cornblatt BA, Mathalon DH, McGlashan TH, Seidman LJ, Walker EF, Woods SW, Tsuang M, Cannon TD. The Role of microRNA Expression in Cortical Development During Conversion to Psychosis. Neuropsychopharmacology 2017, 42: 2188-2195. PMID: 28186095, PMCID: PMC5603810, DOI: 10.1038/npp.2017.34.Peer-Reviewed Original ResearchConceptsNorth American Prodrome Longitudinal StudyCortical thinningDisease onsetClinical high-risk individualsProinflammatory cytokine levelsHigh-risk individualsGray matter reductionsOnset of psychosisCortical gray matter reductionMicroRNA expressionMicroglial actionCytokine levelsProinflammatory cytokinesCortical maturationImmune cellsHealthy controlsInflammatory responsePeripheral leukocytesCortical developmentHigh riskImmune functionSynaptic plasticityImmune systemConversion statusResident macrophages
2016
Altered functional brain connectivity in children and young people with opsoclonus–myoclonus syndrome
Chekroud A, Anand G, Yong J, Pike M, Bridge H. Altered functional brain connectivity in children and young people with opsoclonus–myoclonus syndrome. Developmental Medicine & Child Neurology 2016, 59: 98-104. PMID: 27658927, DOI: 10.1111/dmcn.13262.Peer-Reviewed Original ResearchConceptsOpsoclonus-myoclonus syndromeMagnetic resonance imagingMotor cortexOccipito-parietal regionsAltered functional brain connectivityWidespread brain involvementResting-state functional MRI dataComparison groupStructural brain changesCross-sectional studyFunctional brain connectivitySeed-based analysisBrain functional connectivityAge-matched comparison participantsBrain involvementMotor sequelaeBasal gangliaBrain changesPatientsResonance imagingBrain regionsFunctional MRI dataFunctional connectivityVisual networkBrain connectivity
2014
Cerebellar and cortical abnormalities in paediatric opsoclonus‐myoclonus syndrome
Anand G, Bridge H, Rackstraw P, Chekroud A, Yong J, Stagg C, Pike M. Cerebellar and cortical abnormalities in paediatric opsoclonus‐myoclonus syndrome. Developmental Medicine & Child Neurology 2014, 57: 265-272. PMID: 25290446, DOI: 10.1111/dmcn.12594.Peer-Reviewed Original ResearchConceptsOpsoclonus-myoclonus syndromePediatric opsoclonus-myoclonus syndromeGray matter volumeCortical thicknessDiffusion-weighted imagesCerebellar atrophyFlocculonodular lobeMatter volumeMagnetic resonance spectroscopy scansCerebral cortical thicknessTract-based spatial statisticsT1-weighted structural imagesCerebellar gray matter volumeWhole-brain levelWhole-brain analysisWhite matter integrityCerebellar gray matterPersistent symptomatologyClinical outcomesMotor sequelaeChronic phaseCortical abnormalitiesMotor cortexBrain levelsOMS group