2020
Predicting alcohol dependence from multi‐site brain structural measures
Hahn S, Mackey S, Cousijn J, Foxe JJ, Heinz A, Hester R, Hutchinson K, Kiefer F, Korucuoglu O, Lett T, Li C, London E, Lorenzetti V, Maartje L, Momenan R, Orr C, Paulus M, Schmaal L, Sinha R, Sjoerds Z, Stein DJ, Stein E, van Holst R, Veltman D, Walter H, Wiers RW, Yucel M, Thompson PM, Conrod P, Allgaier N, Garavan H. Predicting alcohol dependence from multi‐site brain structural measures. Human Brain Mapping 2020, 43: 555-565. PMID: 33064342, PMCID: PMC8675424, DOI: 10.1002/hbm.25248.Peer-Reviewed Original ResearchMeSH KeywordsAlcoholismCerebral CortexHumansMachine LearningMagnetic Resonance ImagingMulticenter Studies as TopicNeuroimagingPutamenReproducibility of ResultsConceptsAlcohol dependenceRight lateral orbitofrontal cortexLeft superior frontal gyrusCurrent alcohol dependenceTransverse temporal gyrusENIGMA Addiction Working GroupInclusion of casesSuperior frontal gyrusStructural magnetic resonanceCortical surface areaRight transverse temporal gyrusLateral orbitofrontal cortexBrain structural measuresCortical thicknessPutamen volumePotential biomarkers
2017
Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets
Yoo K, Rosenberg MD, Hsu WT, Zhang S, Li CR, Scheinost D, Constable RT, Chun MM. Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets. NeuroImage 2017, 167: 11-22. PMID: 29122720, PMCID: PMC5845789, DOI: 10.1016/j.neuroimage.2017.11.010.Peer-Reviewed Original Research
2014
Error-related functional connectivity of the thalamus in cocaine dependence
Zhang S, Hu S, Bednarski SR, Erdman E, Li CS. Error-related functional connectivity of the thalamus in cocaine dependence. NeuroImage Clinical 2014, 4: 585-592. PMID: 24936409, PMCID: PMC4053644, DOI: 10.1016/j.nicl.2014.01.015.Peer-Reviewed Original ResearchConceptsVentral medial prefrontal cortexFunctional connectivityCognitive controlGeneralized psychophysiological interaction analysisTask-related processesPsychophysiological interaction analysisSubgenual anterior cingulate cortexCocaine dependenceMedial prefrontal cortexAnterior cingulate cortexError processingExecutive functionCocaine-dependent patientsPrefrontal cortexCingulate cortexRelated activationSubstance misuseCocaine useDrug useThalamic connectivity
2013
The reliability of the Chinese version of the Barratt Impulsiveness Scale version 11, in abstinent, opioid-dependent participants in Taiwan
Huang CY, Li CS, Fang SC, Wu CS, Liao DL. The reliability of the Chinese version of the Barratt Impulsiveness Scale version 11, in abstinent, opioid-dependent participants in Taiwan. Journal Of The Chinese Medical Association 2013, 76: 289-295. PMID: 23683263, DOI: 10.1016/j.jcma.2013.01.005.Peer-Reviewed Original ResearchAdultHumansImpulsive BehaviorLanguageMaleMiddle AgedOpioid-Related DisordersReproducibility of Results
2012
Genome‐wide search for replicable risk gene regions in alcohol and nicotine co‐dependence
Zuo L, Zhang F, Zhang H, Zhang X, Wang F, Li C, Lu L, Hong J, Lu L, Krystal J, Deng H, Luo X. Genome‐wide search for replicable risk gene regions in alcohol and nicotine co‐dependence. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2012, 159B: 437-444. PMID: 22488850, PMCID: PMC3405545, DOI: 10.1002/ajmg.b.32047.Peer-Reviewed Original ResearchConceptsChromosome 3Genome-wide false discovery rateGene regionFalse discovery rateGenome-wide association analysisExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisRisk SNPsTranscript expressionGenome-wide association strategyGenome-wide searchCombined P valueSNP-disease associationsAssociation peakGenomic regionsEQTL analysisEuropean American casesCausal lociLocus analysisGene expressionAssociation analysisGenesSNPsRegulatory effectsDiscovery rate
2007
Greater activation of the “default” brain regions predicts stop signal errors
Li CS, Yan P, Bergquist KL, Sinha R. Greater activation of the “default” brain regions predicts stop signal errors. NeuroImage 2007, 38: 640-648. PMID: 17884586, PMCID: PMC2097963, DOI: 10.1016/j.neuroimage.2007.07.021.Peer-Reviewed Original ResearchConceptsSignal taskBehavioral adjustmentBrain regionsPost-error behavioral adjustmentCingulate cortexMidline brain regionsStop-signal taskPerigenual anterior cingulate cortexSignal detection theoryPosterior cingulate cortexAnterior cingulate cortexCortical brain regionsCognitive tasksStop successElicit errorsError processingNeural processesStop errorFMRI studyMental effortGreater activationPerformance errorsDetection theoryBilateral precuneusTask