2023
Recalibrating single-study effect sizes using hierarchical Bayesian models
Cao Z, McCabe M, Callas P, Cupertino R, Ottino-González J, Murphy A, Pancholi D, Schwab N, Catherine O, Hutchison K, Cousijn J, Dagher A, Foxe J, Goudriaan A, Hester R, Li C, Thompson W, Morales A, London E, Lorenzetti V, Luijten M, Martin-Santos R, Momenan R, Paulus M, Schmaal L, Sinha R, Solowij N, Stein D, Stein E, Uhlmann A, van Holst R, Veltman D, Wiers R, Yücel M, Zhang S, Conrod P, Mackey S, Garavan H, Group T. Recalibrating single-study effect sizes using hierarchical Bayesian models. Frontiers In Neuroimaging 2023, 2: 1138193. PMID: 38179200, PMCID: PMC10764546, DOI: 10.3389/fnimg.2023.1138193.Peer-Reviewed Original ResearchBrain volumes in alcohol use disorder: Do females and males differ? A whole‐brain magnetic resonance imaging mega‐analysis
Maggioni E, Rossetti M, Allen N, Batalla A, Bellani M, Chye Y, Cousijn J, Goudriaan A, Hester R, Hutchison K, Li C, Martin‐Santos R, Momenan R, Sinha R, Schmaal L, Solowij N, Suo C, van Holst R, Veltman D, Yücel M, Thompson P, Conrod P, Mackey S, Garavan H, Brambilla P, Lorenzetti V. Brain volumes in alcohol use disorder: Do females and males differ? A whole‐brain magnetic resonance imaging mega‐analysis. Human Brain Mapping 2023, 44: 4652-4666. PMID: 37436103, PMCID: PMC10400785, DOI: 10.1002/hbm.26404.Peer-Reviewed Original Research
2022
Cortical profiles of numerous psychiatric disorders and normal development share a common pattern
Cao Z, Cupertino R, Ottino-Gonzalez J, Murphy A, Pancholi D, Juliano A, Chaarani B, Albaugh M, Yuan D, Schwab N, Stafford J, Goudriaan A, Hutchison K, Li C, Luijten M, Groefsema M, Momenan R, Schmaal L, Sinha R, van Holst R, Veltman D, Wiers R, Porjesz B, Lett T, 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, Robinson L, Smolka M, Walter H, Winterer J, Schumann G, Whelan R, Bhatt R, Zhu A, Conrod P, Jahanshad N, Thompson P, Mackey S, Garavan H. Cortical profiles of numerous psychiatric disorders and normal development share a common pattern. Molecular Psychiatry 2022, 28: 698-709. PMID: 36380235, DOI: 10.1038/s41380-022-01855-6.Peer-Reviewed Original ResearchConceptsCortical thicknessPsychiatric disordersNumerous psychiatric disordersNeurological disordersDesikan-Killiany atlasLower cortical thicknessNormative maturationAllen Human Brain AtlasHealthy adult participantsCortical maturationExpression of PC1Cortical changesEmergence of psychopathologyBrain maturationPsychiatric diseasesMultiple gene ontology categoriesHuman Brain AtlasCortical profilesPubertal transitionCT differencesDisordersLate childhoodABCD studyAdult participantsNeurobiological basisBrain structural covariance network differences in adults with alcohol dependence and heavy‐drinking adolescents
Ottino‐González J, Garavan H, Albaugh M, Cao Z, Cupertino R, Schwab N, Spechler P, Allen N, Artiges E, Banaschewski T, Bokde A, Burke Quinlan E, Brühl R, Orr C, Cousijn J, Desrivières S, Flor H, Foxe J, Fröhner J, Goudriaan A, Gowland P, Grigis A, Heinz A, Hester R, Hutchison K, Li C, London E, Lorenzetti V, Luijten M, Nees F, Martín‐Santos R, Martinot J, Millenet S, Momenan R, Paillère Martinot M, Papadopoulos Orfanos D, Paulus M, Poustka L, Schmaal L, Schumann G, Sinha R, Smolka MN, Solowij N, Stein DJ, Stein EA, Uhlmann A, van Holst RJ, Veltman DJ, Walter H, Whelan R, Wiers RW, Yücel M, Zhang S, Jahanshad N, Thompson PM, Conrod P, Mackey S. Brain structural covariance network differences in adults with alcohol dependence and heavy‐drinking adolescents. Addiction 2022, 117: 1312-1325. PMID: 34907616, DOI: 10.1111/add.15772.Peer-Reviewed Original ResearchConceptsAlcohol dependenceHeavy drinking adolescentsStructural covariance networksAge 19Non-dependent controlsPre-existing risk factorsAge 14Cohort of adolescentsCross-sectional analysisRisk factorsAlcohol exposureEnhancing Neuroimaging GeneticsCortical thicknessHazardous drinkersEarly markerMeta-AnalysisNetwork segregationCross-sectional sampleIMAGEN studySubstantial exposureAdultsDrinking adolescentsCovariance networksBrain organizationAdolescents
2007
Inhibitory control and emotional stress regulation: Neuroimaging evidence for frontal–limbic dysfunction in psycho-stimulant addiction
Li CS, Sinha R. Inhibitory control and emotional stress regulation: Neuroimaging evidence for frontal–limbic dysfunction in psycho-stimulant addiction. Neuroscience & Biobehavioral Reviews 2007, 32: 581-597. PMID: 18164058, PMCID: PMC2263143, DOI: 10.1016/j.neubiorev.2007.10.003.Peer-Reviewed Original ResearchConceptsInhibitory controlPrefrontal activityDrug seekingHabitual drug seekingCognitive inhibitory controlCompulsive drug seekingVentromedial prefrontal regionsFrontal-limbic dysfunctionStress-related cravingAnterior cingulate cortexStress regulationPsychological processesNeural underpinningsSalient stimuliStress processingPrefrontal regionsComponent processesStriatal responsesDrug use behaviorsCingulate cortexNeural systemsPsychostimulant dependenceUse behaviorsNeural pathwaysAddiction
2006
Imaging Response Inhibition in a Stop-Signal Task: Neural Correlates Independent of Signal Monitoring and Post-Response Processing
Li CS, Huang C, Constable RT, Sinha R. Imaging Response Inhibition in a Stop-Signal Task: Neural Correlates Independent of Signal Monitoring and Post-Response Processing. Journal Of Neuroscience 2006, 26: 186-192. PMID: 16399686, PMCID: PMC6674298, DOI: 10.1523/jneurosci.3741-05.2006.Peer-Reviewed Original ResearchConceptsStop-signal reaction timeStop-signal taskResponse inhibitionPre-potent response tendenciesReaction timeShorter stop-signal reaction timesEfficient response inhibitionFunctional magnetic resonanceLonger stop-signal reaction timesGroups of subjectsHigher cortical functionsError monitoringNeural correlatesTask demandsHabitual responsesBrain activationNeural substrataResponse tendenciesGreater activationInhibitory controlAffective functionsMotor areaBrain regionsFrontal cortexCortical function