2023
Relationships of in vivo brain norepinephrine transporter and age, BMI, and gender
Koohsari S, Sadabad F, Pittman B, Gallezot J, Carson R, van Dyck C, Li C, Potenza M, Matuskey D. Relationships of in vivo brain norepinephrine transporter and age, BMI, and gender. Synapse 2023, 77: e22279. PMID: 37382240, PMCID: PMC10416616, DOI: 10.1002/syn.22279.Peer-Reviewed Original ResearchConceptsBody mass indexMultilinear reference tissue model 2Gender-related differencesBrain norepinephrine transportersNorepinephrine transporterAge-related declineStructural MR scansBrain regionsReference tissue model 2Mass indexRaphe nucleusLocus coeruleusOccipital cortexBMI relationshipHealthy adultsHigh-resolution research tomographAvailable radiotracersHealthy participantsMR scansAgeAnatomic templateReference regionNegative associationNet availabilityPotential age
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 basisAlcohol 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 ResearchConceptsGray 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 modelingSex-different interrelationships of rs945270, cerebral gray matter volumes, and attention deficit hyperactivity disorder: a region-wide study across brain
Luo X, Fang W, Lin X, Guo X, Chen Y, Tan Y, Wang L, Jing X, Wang X, Zhang Y, Yu T, Ide J, Cao Y, Yang L, Li CR. Sex-different interrelationships of rs945270, cerebral gray matter volumes, and attention deficit hyperactivity disorder: a region-wide study across brain. Translational Psychiatry 2022, 12: 225. PMID: 35654767, PMCID: PMC9163172, DOI: 10.1038/s41398-022-02007-8.Peer-Reviewed Original ResearchConceptsAttention deficit hyperactivity disorderADHD symptom scoresGray matter volumeDeficit hyperactivity disorderCortical gray matter volumePutamen gray matter volumesHyperactivity disorderADHD riskMatter volumePathogenesis of ADHDMediation effectBrain regionsLeft putamenCerebral gray matter volumeCerebral regionsRelevant covariatesObjective 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 ResearchConceptsBody 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 organizationAdolescentsGray matter volumetric correlates of dimensional impulsivity traits in children: Sex differences and heritability
Chen Y, Ide JS, Li CS, Chaudhary S, Le TM, Wang W, Zhornitsky S, Zhang S, Li C. Gray matter volumetric correlates of dimensional impulsivity traits in children: Sex differences and heritability. Human Brain Mapping 2022, 43: 2634-2652. PMID: 35212098, PMCID: PMC9057091, DOI: 10.1002/hbm.25810.Peer-Reviewed Original ResearchConceptsGray matter volumeImpulsivity traitsPositive urgencyVolumetric correlatesSensation seekingHigher positive urgencyMid-cingulate cortexSex differencesVoxel-based morphometry analysisSmaller gray matter volumeImpulsivity dimensionsSubsample of twinsDistinct correlatesCingulate cortexPrecentral gyrusSubcortical gray matter volumesMatter volumeTotal intracranial volumeSeekingImpulsivityMorphometry analysisPrevious researchInsulaCorrelatesGirlsThe thalamus and its subnuclei—a gateway to obsessive-compulsive disorder
Weeland CJ, Kasprzak S, de Joode NT, Abe Y, Alonso P, Ameis SH, Anticevic A, Arnold PD, Balachander S, Banaj N, Bargallo N, Batistuzzo MC, Benedetti F, Beucke JC, Bollettini I, Brecke V, Brem S, Cappi C, Cheng Y, Cho KIK, Costa DLC, Dallaspezia S, Denys D, Eng GK, Ferreira S, Feusner JD, Fontaine M, Fouche JP, Grazioplene RG, Gruner P, He M, Hirano Y, Hoexter MQ, Huyser C, Hu H, Jaspers-Fayer F, Kathmann N, Kaufmann C, Kim M, Koch K, Bin Kwak Y, Kwon JS, Lazaro L, Li CR, Lochner C, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Menchón JM, Minnuzi L, Moreira PS, Morgado P, Nakagawa A, Nakamae T, Narayanaswamy JC, Nurmi EL, Ortiz AE, Pariente JC, Piacentini J, Picó-Pérez M, Piras F, Piras F, Pittenger C, Reddy YCJ, Rodriguez-Manrique D, Sakai Y, Shimizu E, Shivakumar V, Simpson HB, Soreni N, Soriano-Mas C, Sousa N, Spalletta G, Stern ER, Stevens MC, Stewart SE, Szeszko PR, Takahashi J, Tanamatis T, Tang J, Thorsen AL, Tolin D, van der Werf YD, van Marle H, van Wingen GA, Vecchio D, Venkatasubramanian G, Walitza S, Wang J, Wang Z, Watanabe A, Wolters LH, Xu X, Yun JY, Zhao Q, White T, Thompson P, Stein D, van den Heuvel O, Vriend C. The thalamus and its subnuclei—a gateway to obsessive-compulsive disorder. Translational Psychiatry 2022, 12: 70. PMID: 35190533, PMCID: PMC8861046, DOI: 10.1038/s41398-022-01823-2.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultBrainChildHumansMagnetic Resonance ImagingObsessive-Compulsive DisorderThalamusConceptsObsessive-compulsive disorderMagnetic resonance imagingThalamic volumeOCD patientsThalamic subregionsT1-weighted brain magnetic resonance imagingBrain magnetic resonance imagingClinical-level symptomsLarger thalamic volumesPediatric OCD patientsAdult OCD patientsSeparate multiple linear regression modelsVolumetric group differencesThalamus sizeMedicated patientsAdolescent patientsAnterior thalamusHealthy controlsSubregional volumesGeneral populationMedication statusMultiple comparison correctionPatientsResonance imagingIntracranial volumeClinical 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
2020
Effects of early ketamine exposure on cerebral gray matter volume and functional connectivity
Hung CC, Liu YH, Huang CC, Chou CY, Chen CM, Duann JR, Li CR, Lee TS, Lin CP. Effects of early ketamine exposure on cerebral gray matter volume and functional connectivity. Scientific Reports 2020, 10: 15488. PMID: 32968108, PMCID: PMC7512006, DOI: 10.1038/s41598-020-72320-z.Peer-Reviewed Original ResearchConceptsGray matter volumeCerebral gray matter volumeKetamine exposureFunctional connectivityMatter volumeKetamine usersBrain structuresLower gray matter volumeFunctional brain changesTreatment of depressionAdolescent-onset groupCerebral functional organizationHigher functional connectivitySuperior frontal gyrusInferior parietal lobuleMedial orbitofrontal cortexSeed-based correlation analysisKetamine groupBrain changesKetamine abuseLarge cohortRight insulaLeft precuneusKetamine misuseRight precuneusKTN1 variants and risk for attention deficit hyperactivity disorder
Luo X, Guo X, Tan Y, Zhang Y, Garcia‐Milian R, Wang Z, Shi J, Yu T, Ji J, Wang X, Xu J, Zhang H, Zuo L, Lu L, Wang K, Li C. KTN1 variants and risk for attention deficit hyperactivity disorder. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2020, 183: 234-244. PMID: 32190980, PMCID: PMC7210069, DOI: 10.1002/ajmg.b.32782.Peer-Reviewed Original Research
2019
The interrelationship of body mass index with gray matter volume and resting-state functional connectivity of the hypothalamus
Le TM, Liao DL, Ide J, Zhang S, Zhornitsky S, Wang W, Li CR. The interrelationship of body mass index with gray matter volume and resting-state functional connectivity of the hypothalamus. International Journal Of Obesity 2019, 44: 1097-1107. PMID: 31796869, PMCID: PMC8643195, DOI: 10.1038/s41366-019-0496-8.Peer-Reviewed Original ResearchConceptsResting-state functional connectivityWhole-brain multiple regressionGray matter volumeInsula connectivityBody mass indexFunctional connectivitySeed-based resting-state functional connectivityMatter volumeSuperior parietal lobuleVoxel-based morphometry analysisMultiple regressionConclusionsThe current findingsBody weightCognitive controlMultiple brain circuitsBrain mechanismsIndividual differencesInhibitory controlParietal lobuleHypothalamic connectivityMass indexMediation analysisBrain circuitsHigher body mass indexCurrent findingsSubcortical surface morphometry in substance dependence: An ENIGMA addiction working group study
Chye Y, Mackey S, Gutman BA, Ching CRK, Batalla A, Blaine S, Brooks S, Caparelli EC, Cousijn J, Dagher A, Foxe JJ, Goudriaan AE, Hester R, Hutchison K, Jahanshad N, Kaag AM, Korucuoglu O, Li C, London ED, Lorenzetti V, Luijten M, Martin‐Santos R, Meda SA, Momenan R, Morales A, Orr C, Paulus MP, Pearlson G, Reneman L, Schmaal L, Sinha R, Solowij N, Stein DJ, Stein EA, Tang D, Uhlmann A, van Holst R, Veltman DJ, Verdejo‐Garcia A, Wiers RW, Yücel M, Thompson PM, Conrod P, Garavan H. Subcortical surface morphometry in substance dependence: An ENIGMA addiction working group study. Addiction Biology 2019, 25: e12830. PMID: 31746534, PMCID: PMC7237314, DOI: 10.1111/adb.12830.Peer-Reviewed Original Research
2018
Problem Drinking, Alcohol Expectancy, and Thalamic Resting-State Functional Connectivity in Nondependent Adult Drinkers
Zhornitsky S, Ide J, Wang W, Chao H, Zhang S, Hu S, Krystal J, Li C. Problem Drinking, Alcohol Expectancy, and Thalamic Resting-State Functional Connectivity in Nondependent Adult Drinkers. Brain Connectivity 2018, 8: 487-502. PMID: 30198312, PMCID: PMC6207153, DOI: 10.1089/brain.2018.0633.Peer-Reviewed Original ResearchConceptsAlcohol Use Disorders Identification TestResting-state functional connectivityThalamic connectivityCaudate connectivityFrontal associationThalamic dysfunctionCaudate headProblem drinkingWhole-brain linear regressionAE scoreSubcortical structuresFunctional connectivityBilateral caudate headRight caudate headDisorders Identification TestSex differencesThalamic subdivisionsThalamic subregionsParietal associationAlcohol misuseThalamusWhite matter tractographyAUDIT scoresNondependent drinkersAlcohol expectanciesStructural and functional cerebral bases of diminished inhibitory control during healthy aging
Hu S, Ide JS, Chao HH, Castagna B, Fischer KA, Zhang S, Li C. Structural and functional cerebral bases of diminished inhibitory control during healthy aging. Human Brain Mapping 2018, 39: 5085-5096. PMID: 30113124, PMCID: PMC6287913, DOI: 10.1002/hbm.24347.Peer-Reviewed Original ResearchConceptsProlonged stop signal reaction timeStop-signal reaction timeAge-related reductionInhibitory controlFunctional changesPrefrontal cortexAge-related diminutionSignal taskRight dorsolateral prefrontal cortexSame brain regionsFunctional magnetic resonance imagingMagnetic resonance imagingMedial prefrontal cortexInferior parietal cortexResponse inhibitionDorsolateral prefrontal cortexInferior frontal cortexDiminished inhibitory controlCerebral changesStructure-function associationsSignal reaction timeCaudate headAge-related differencesStop-signal taskFrontal cortex
2015
Resting-State Functional Connectivity of the Locus Coeruleus in Humans: In Comparison with the Ventral Tegmental Area/Substantia Nigra Pars Compacta and the Effects of Age
Zhang S, Hu S, Chao HH, Li CR. Resting-State Functional Connectivity of the Locus Coeruleus in Humans: In Comparison with the Ventral Tegmental Area/Substantia Nigra Pars Compacta and the Effects of Age. Cerebral Cortex 2015, 26: 3413-3427. PMID: 26223261, PMCID: PMC4961017, DOI: 10.1093/cercor/bhv172.Peer-Reviewed Original ResearchConceptsVentral tegmental area/substantia nigra pars compactaSubstantia nigra pars compactaLocus coeruleusPars compactaFunctional connectivityResting-state functional connectivityCerebral functional connectivityNumerous animal studiesFronto-parietal cortexRight anterior insulaResting-state fMRI dataEffect of ageCerebral cortexNoradrenergic inputCognitive motor controlAnimal studiesCortex decreasesHealthy adultsCerebellum increasesMidbrain nucleiBilateral amygdalaMidbrain structuresAnterior insulaCognitive manifestationsMotor controlBarratt Impulsivity and Neural Regulation of Physiological Arousal
Zhang S, Hu S, Hu J, Wu PL, Chao HH, Li CS. Barratt Impulsivity and Neural Regulation of Physiological Arousal. PLOS ONE 2015, 10: e0129139. PMID: 26079873, PMCID: PMC4469608, DOI: 10.1371/journal.pone.0129139.Peer-Reviewed Original ResearchConceptsSkin conductance responsesImpulsive individualsNeural basisPhysiological arousalArousal regulationHigh impulsivityBarratt impulsivitySkin conductanceGreater skin conductance responsesFunctional magnetic resonance imagingVentromedial prefrontal cortexStop-signal taskTheory of personalityBarratt Impulsivity ScalePoor impulse controlVmPFC activitySalient stimuliExternal stimulationImpulsive womenNeural processesNeural substratesSignal taskConductance responsesImpulsivity ScaleImpulsivity
2014
The effects of age on resting state functional connectivity of the basal ganglia from young to middle adulthood
Manza P, Zhang S, Hu S, Chao HH, Leung HC, Li CS. The effects of age on resting state functional connectivity of the basal ganglia from young to middle adulthood. NeuroImage 2014, 107: 311-322. PMID: 25514518, PMCID: PMC4300261, DOI: 10.1016/j.neuroimage.2014.12.016.Peer-Reviewed Original ResearchConceptsBasal gangliaNegative connectivityFunctional connectivityState functional magnetic resonanceBasal ganglia nucleiCerebral functional connectivityVentral tegmental area/substantia nigraState functional connectivityAge-related structural changesYears of agePosterior cingulate cortexMedial orbitofrontal cortexDefault mode network regionsFunctional magnetic resonanceCerebellum changesEffect of ageCerebral cortexDopaminergic dysfunctionSubstantia nigraPosterior putamenSomatomotor cortexAdults 18Motor functionVTA/SNMiddle adulthoodResting state functional connectivity of the basal nucleus of Meynert in humans: In comparison to the ventral striatum and the effects of age
Li CS, Ide JS, Zhang S, Hu S, Chao HH, Zaborszky L. Resting state functional connectivity of the basal nucleus of Meynert in humans: In comparison to the ventral striatum and the effects of age. NeuroImage 2014, 97: 321-332. PMID: 24736176, PMCID: PMC4065805, DOI: 10.1016/j.neuroimage.2014.04.019.Peer-Reviewed Original ResearchConceptsCerebral functional connectivityFunctional connectivityStronger positive connectivityEffect of ageMotor areaBasal nucleusCognitive declineState functional magnetic resonanceResting-state functional magnetic resonancePositive connectivityPrimary cholinergic inputLoss of neuronsPost-mortem human brainState functional connectivitySupplementary motor areaNumerous animal studiesPre-supplementary motor areaReward-Related BehaviorAnterior cingulate cortexMedial orbitofrontal cortexAge-related cognitive declineAge-related changesFunctional magnetic resonanceVS connectivityCerebral cortexClinical characteristics and diagnostic confirmation of Internet addiction in secondary school students in Wuhan, China
Tang J, Zhang Y, Li Y, Liu L, Liu X, Zeng H, Xiang D, Li C, Lee T. Clinical characteristics and diagnostic confirmation of Internet addiction in secondary school students in Wuhan, China. Psychiatry And Clinical Neurosciences 2014, 68: 471-478. PMID: 24920380, DOI: 10.1111/pcn.12153.Peer-Reviewed Original Research