2022
Alcohol and cannabis co‐use and longitudinal gray matter volumetric changes in early and late adolescence
Luo X, Yang JJ, Buu A, Trucco EM, Li C. Alcohol and cannabis co‐use and longitudinal gray matter volumetric changes in early and late adolescence. Addiction Biology 2022, 27: e13208. PMID: 36001427, PMCID: PMC9413216, DOI: 10.1111/adb.13208.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentBrainCannabisCerebral CortexCross-Sectional StudiesEthanolFemaleGray MatterHumansInfant, NewbornLongitudinal StudiesMagnetic Resonance ImagingMaleConceptsGray matter volumeLate adolescenceCaudal middle frontal cortexEarly adolescent onsetGray matter volumetric changesMiddle frontal cortexSevere alcohol useBrain developmentCross-sectional findingsSocial cognitionExecutive controlNCANDA studyVolumetric declinesSupramarginal gyrusPotential sex differencesSuperior temporalImpact of alcoholAdolescent onsetSubstance useCortical regionsAlcohol useMatter volumeFrontal cortexResult of alcoholMixed-effects modelingCognitive Challenges Are Better in Distinguishing Binge From Nonbinge Drinkers: An Exploratory Deep‐Learning Study of fMRI Data of Multiple Behavioral Tasks and Resting State
Li G, Zhang Z, Chen Y, Wang W, Bi J, Tang X, Li C. Cognitive Challenges Are Better in Distinguishing Binge From Nonbinge Drinkers: An Exploratory Deep‐Learning Study of fMRI Data of Multiple Behavioral Tasks and Resting State. Journal Of Magnetic Resonance Imaging 2022, 57: 856-868. PMID: 35808911, DOI: 10.1002/jmri.28336.Peer-Reviewed Original ResearchMeSH KeywordsBinge DrinkingBrainCognitionCross-Sectional StudiesDeep LearningEthanolHumansMagnetic Resonance ImagingMaleRetrospective StudiesConceptsNonbinge drinkersBinge drinkingResting-state functional magnetic resonance imaging (fMRI) dataSignificant group main effectBehavioral tasksSupplementary motor areaGradient-echo echo-planar sequenceMultiple behavioral tasksGroup main effectNodal metricsRight cuneusEcho-planar sequenceMagnetic resonance imaging dataMotor areaRegion of interestFunctional connectivityBingeDrinkersTechnical efficacyNeural responsesFunctional magnetic resonance imaging (fMRI) dataNumber of ROIsP-valueStage 2Human Connectome ProjectObjective Sleep-Wake Characteristics Are Associated With Diabetes Symptoms in Young Adults With Type 1 Diabetes
Griggs S, Grey M, Ash GI, Li CR, Crawford SL, Hickman RL. Objective Sleep-Wake Characteristics Are Associated With Diabetes Symptoms in Young Adults With Type 1 Diabetes. The Science Of Diabetes Self-Management And Care 2022, 48: 149-156. PMID: 35446182, PMCID: PMC9157415, DOI: 10.1177/26350106221094521.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultBlood GlucoseBlood Glucose Self-MonitoringCross-Sectional StudiesDiabetes Mellitus, Type 1HumansSleepYoung AdultConceptsBody mass indexSleep-wake characteristicsTotal symptom burdenSleep onset latencySymptom burdenDiabetes symptomsYoung adultsOnset latencyHigher total symptom burdenDistress symptomsDescriptive cross-sectional studyDistress ScaleHigh sleep variabilityShorter total sleep timeType 1 diabetesCross-sectional studyLonger sleep onset latencyPoor sleep efficiencyTotal sleep timeYoung adults ages 18Adults ages 18Pain symptomsT1D durationDiabetes clinicEmotional Distress ScaleBrain 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 organizationAdolescentsClinical and behavior characteristics of individuals who used ketamine
Lee TS, Liu YH, Huang YJ, Tang WK, Wang Y, Hu S, Lin CP, Li CR, Hung CC. Clinical and behavior characteristics of individuals who used ketamine. Scientific Reports 2022, 12: 801. PMID: 35039593, PMCID: PMC8764021, DOI: 10.1038/s41598-022-04832-9.Peer-Reviewed Original ResearchConceptsMemory testLower urinary tract symptomsN-back memory testShort-term recallShort-term memoryDrug-using participantsCigarette smokersImpulsivity measuresTerm recallBehavioral dispositionsPolydrug usersKetamine usersGroup of individualsSex-related behaviorsUrinary tract symptomsPolydrug useDrug-related problemsCross-sectional interviewMemoryRisk behaviorsKetamine useTract symptomsClinical characteristicsParticipantsHIV serostatus
2018
Traumatic Experiences and PTSD Symptoms in the Chinese Male Intrafamilial Physical Violence Perpetrators: A Comparative and Structural Equation Modeling Study
Liu N, Cao Y, Qiao H, Ma H, Li J, Luo X, Li CR, Zhang Y, Zhang N. Traumatic Experiences and PTSD Symptoms in the Chinese Male Intrafamilial Physical Violence Perpetrators: A Comparative and Structural Equation Modeling Study. Journal Of Interpersonal Violence 2018, 36: 2841-2861. PMID: 29562817, PMCID: PMC7480215, DOI: 10.1177/0886260518764103.Peer-Reviewed Original ResearchMeSH KeywordsAdultChinaCross-Sectional StudiesHumansIntimate Partner ViolenceLatent Class AnalysisMalePhysical AbuseStress Disorders, Post-TraumaticConceptsSevere physical violenceDomestic violencePhysical violenceAbusive menIntimate Partner Violence PerpetrationPartner violence perpetrationTraumatic experiencesGroup of perpetratorsMale perpetratorsViolence perpetratorsViolence perpetrationViolenceMore salienceIntergenerational transmissionPerpetratorsPerpetrationFace interviewsIPVExperienceTraumatic eventsInterviewsStructural equation modeling techniqueMaltreatmentPosttraumatic stress disorderChildhood maltreatment
2016
Craving behavioral intervention for internet gaming disorder: remediation of functional connectivity of the ventral striatum
Zhang J, Ma S, Li C, Liu L, Xia C, Lan J, Wang L, Liu B, Yao Y, Fang X. Craving behavioral intervention for internet gaming disorder: remediation of functional connectivity of the ventral striatum. Addiction Biology 2016, 23: 337-346. PMID: 27894158, PMCID: PMC5446940, DOI: 10.1111/adb.12474.Peer-Reviewed Original ResearchConceptsResting-state functional connectivityPsychobehavioral interventionsIGD subjectsFunctional connectivityHealthy controlsInternet gaming disorderGreater resting-state functional connectivityFrontal gyrusEffects of CBICross-sectional studyBehavioral intervention studyDirect current stimulationInferior parietal lobuleMiddle frontal gyrusGaming disorderSeverity of IGDInferior frontal gyrusSimilar time intervalsEffective treatmentIntervention studiesNon-invasive techniquePotential biomarkersVentral striatumParietal lobuleCurrent stimulation