2023
Brain Networks and Adolescent Alcohol Use
Yip S, Lichenstein S, Liang Q, Chaarani B, Dager A, Pearlson G, Banaschewski T, Bokde A, Desrivières S, Flor H, Grigis A, Gowland P, Heinz A, Brühl R, Martinot J, Martinot M, Artiges E, Nees F, Orfanos D, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner J, Smolka M, Vaidya N, Walter H, Whelan R, Schumann G, Garavan H. Brain Networks and Adolescent Alcohol Use. JAMA Psychiatry 2023, 80: 1131-1141. PMID: 37647053, PMCID: PMC10469292, DOI: 10.1001/jamapsychiatry.2023.2949.Peer-Reviewed Original ResearchConceptsAlcohol Use Disorders Identification TestAlcohol use riskAlcohol misuseUse riskAlcohol use disorderMale adolescentsDisorders Identification TestSingle-site studyIntervention effortsWhole-brain patternsMean ageAlcohol use dataLeading causeMagnetic resonance imaging dataMAIN OUTCOMEReward-related processesHigh riskSeparate cohortUse disordersAlcohol consumptionCurrent severityAdolescent neurodevelopmentAlcohol use behaviorsAlcohol useAUDIT scores
2019
Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol‐Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort
Meda SA, Narayanan B, Chorlian D, Meyers JL, Gelernter J, Hesselbrock V, Bauer L, Calhoun VD, Porjesz B, Pearlson G. Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol‐Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort. Alcohol Clinical And Experimental Research 2019, 43: 1462-1477. PMID: 31009096, DOI: 10.1111/acer.14063.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAlcoholismCase-Control StudiesCohort StudiesElectroencephalographyFemaleGenetic Association StudiesGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedMultigene FamilyNeuronsPhenotypePolymorphism, Single NucleotideSignal TransductionSubstance-Related DisordersWhite PeopleYoung AdultConceptsGenetic clustersSingle nucleotide polymorphism dataSignificant genotype-phenotype associationsNucleotide polymorphism dataLipid/cholesterol metabolismLinkage-based analysisGenotype-phenotype relationshipsGenotype-phenotype associationsGene clusterCell signalingPolymorphism dataMolecular mechanismsAlcoholism datasetGenomewide associationTop hitsGenetic componentNeuronal signalingGeneticsSignalingBiological componentsRelationship pairsCholesterol metabolismNeurogenesisSNP componentParallel independent component analysis
2014
Relationships between Reward Sensitivity, Risk-Taking and Family History of Alcoholism during an Interactive Competitive fMRI Task
Yarosh HL, Hyatt CJ, Meda SA, Jiantonio-Kelly R, Potenza MN, Assaf M, D.Pearlson G. Relationships between Reward Sensitivity, Risk-Taking and Family History of Alcoholism during an Interactive Competitive fMRI Task. PLOS ONE 2014, 9: e88188. PMID: 24505424, PMCID: PMC3913753, DOI: 10.1371/journal.pone.0088188.Peer-Reviewed Original ResearchConceptsVentral striatal activationNeural correlatesImpulsivity measuresStriatal activationFHN individualsFunctional magnetic resonance imaging (fMRI) taskVentral striatum activationSelf-report measuresImpulsivity-related measuresFunctional magnetic resonanceRisk-taking scoresReward-related networksAlcohol-dependent individualsNeural underpinningsPunishment sensitivityReward responsivenessReward sensitivityFMRI taskReward processingStriatum activationSocial tasksFHP individualsMonetary rewardsAddictive behaviorsAxis I Disorders
1991
Effects of Substance Abuse on Ventricular and Sulcal Measures Assessed by Computerised Tomography
Cascella N, Pearlson G, Wong D, Broussolle E, Nagoshi C, Margolin R, London E. Effects of Substance Abuse on Ventricular and Sulcal Measures Assessed by Computerised Tomography. The British Journal Of Psychiatry 1991, 159: 217-221. PMID: 1773237, DOI: 10.1192/bjp.159.2.217.Peer-Reviewed Original ResearchConceptsSubstance abuseSulcal measuresCocaine useSulcal widthWider third ventriclesEffect of ageBrain atrophyBrain ratioChronic useComputerised tomographyThird ventricleNormal controlsAlcohol consumptionBrain morphologyAlcohol usePolydrug abusersSignificant predictorsAgeVentricleSeverityTomographyPositive correlationAbusePossible effectsVentricular