2021
Perceived stress, self-efficacy, and the cerebral morphometric markers in binge-drinking young adults
Li G, Le TM, Wang W, Zhornitsky S, Chen Y, Chaudhary S, Zhu T, Zhang S, Bi J, Tang X, Li CR. Perceived stress, self-efficacy, and the cerebral morphometric markers in binge-drinking young adults. NeuroImage Clinical 2021, 32: 102866. PMID: 34749288, PMCID: PMC8569726, DOI: 10.1016/j.nicl.2021.102866.Peer-Reviewed Original ResearchConceptsGray matter volumePerceived stressNeural markersRegional cortical thicknessCortical structuresAlcohol use behaviorsNon-binge drinkersHuman Connectome ProjectChronic alcohol exposure altersCortical thicknessVoxel-based morphometryEmotional distressConnectome ProjectDrinking menPath analysisCortical regionsDrinking womenBinge drinkingMatter volumeYoung adultsUse behaviorsStress regulationPCC thicknessBingeAlcohol exposure altersAlcohol use severity and the neural correlates of the effects of sleep disturbance on sustained visual attention
Li G, Chen Y, Tang X, Li CR. Alcohol use severity and the neural correlates of the effects of sleep disturbance on sustained visual attention. Journal Of Psychiatric Research 2021, 142: 302-311. PMID: 34416549, PMCID: PMC8429210, DOI: 10.1016/j.jpsychires.2021.08.018.Peer-Reviewed Original ResearchConceptsPittsburgh Sleep Quality IndexNeural correlatesAlcohol useSleep disturbancesReaction timeSustained visual attentionAlcohol misuseWhole-brain regressionGreater sleep disturbanceHuman Connectome ProjectSevere alcohol useVisual attentionSustained attentionNeural processesCognitive performanceLow accuracy rateLonger reaction timesPerformance accuracyConnectome ProjectIdentification of Binge Drinkers via Convolutional Neural Network and Support Vector Machine
Li G, Du S, Niu J, Zhang Z, Gao T, Tang X, Wang W, Li C. Identification of Binge Drinkers via Convolutional Neural Network and Support Vector Machine. 2021, 00: 715-720. DOI: 10.1109/icma52036.2021.9512720.Peer-Reviewed Original ResearchConvolutional neural networkNeural networkGray matter volumeSVM modelSupport vector machineNon-binge drinkersVector machine modelDeep learningVector machinePsychosocial measuresTraining samplesBinge drinkingYoung adult binge drinkingMachine modelAdult binge drinkingHuman Connectome ProjectNetworkPsychosocial markersClassificationConnectome ProjectBinge drinkersCortical thicknessMatter volumeBingeVolumetric differencesPerceived friendship and binge drinking in young adults: A study of the Human Connectome Project data
Li G, Chen Y, Le TM, Zhornitsky S, Wang W, Dhingra I, Zhang S, Tang X, Li CR. Perceived friendship and binge drinking in young adults: A study of the Human Connectome Project data. Drug And Alcohol Dependence 2021, 224: 108731. PMID: 33915512, PMCID: PMC8641247, DOI: 10.1016/j.drugalcdep.2021.108731.Peer-Reviewed Original ResearchConceptsNon-binge drinkersRight posterior insulaPeer influenceYoung adult binge drinkingSocial cognition tasksSocial cognitive processingAlcohol useBinge drinkingWhole-brain regressionAdult binge drinkingYoung adultsMedial orbitofrontal cortexHuman Connectome ProjectRPI activityAlcohol use severityHuman Connectome Project dataSocial cognitionCognition tasksCognitive processingNeural correlatesNeural processesPotential sex differencesOrbitofrontal cortexPosterior insulaConnectome Project
2020
A whole‐brain modeling approach to identify individual and group variations in functional connectivity
Zhao Y, Caffo BS, Wang B, Li C, Luo X. A whole‐brain modeling approach to identify individual and group variations in functional connectivity. Brain And Behavior 2020, 11: e01942. PMID: 33210469, PMCID: PMC7821576, DOI: 10.1002/brb3.1942.Peer-Reviewed Original ResearchConceptsWhole-brain functional connectivityFunctional connectivityResting-state functional connectivityVoxel-wise levelMedium-sized cohortBrain areasWhole brainGroup differencesResting-state fMRI datasetsHuman Connectome ProjectMatrix regression methodBrain subnetworksCovariatesConnectome ProjectSubjectsDimension reduction approachStatistical powerCohortModeling approachBrainStatistical methodsNeural Responses to Reward in a Gambling Task: Sex Differences and Individual Variation in Reward-Driven Impulsivity
Li G, Zhang S, Le TM, Tang X, Li CR. Neural Responses to Reward in a Gambling Task: Sex Differences and Individual Variation in Reward-Driven Impulsivity. Cerebral Cortex Communications 2020, 1: tgaa025. PMID: 32864617, PMCID: PMC7446303, DOI: 10.1093/texcom/tgaa025.Peer-Reviewed Original ResearchGambling TaskNeural processesImpulse controlRegional activationSex differencesDorsal anterior cingulate cortexPrefrontal cortical activationAnterior cingulate cortexReaction timeHuman Connectome ProjectCautious respondingReward sensitivityIndividual variationNeural responsesBehavioral measuresAngular gyrusLonger reaction timesPrefrontal cortexImpulsivityCingulate cortexCortical activationConnectome ProjectHigher activationTaskReward
2017
Hemispheric lateralization of resting-state functional connectivity of the ventral striatum: an exploratory study
Zhang S, Hu S, Chao HH, Li CR. Hemispheric lateralization of resting-state functional connectivity of the ventral striatum: an exploratory study. Brain Structure And Function 2017, 222: 2573-2583. PMID: 28110447, PMCID: PMC5540792, DOI: 10.1007/s00429-016-1358-y.Peer-Reviewed Original ResearchConceptsResting-state functional connectivityPosterior cingulate cortexIntraparietal sulcusVentral striatumSupramarginal gyrusVS connectivityFunctional connectivityDorsomedial prefrontal cortexAutomated Anatomic Labeling (AAL) atlasFunctional hemispheric asymmetriesCerebral functional organizationGender differencesHuman Connectome ProjectRight lateralizationSelf-ControlHemispheric lateralizationPrefrontal cortexSaliency responsesBehavioral contingenciesFunctional lateralizationMotivated behaviorHemispheric asymmetryCingulate cortexConnectome ProjectLaterality index