2021
Mapping cortical and subcortical asymmetries in substance dependence: Findings from the ENIGMA Addiction Working Group
Cao Z, Ottino‐Gonzalez J, Cupertino RB, Schwab N, Hoke C, Catherine O, Cousijn J, Dagher A, Foxe JJ, Goudriaan AE, Hester R, Hutchison K, Li C, London ED, Lorenzetti V, Luijten M, Martin‐Santos R, Momenan R, Paulus MP, Schmaal L, Sinha R, Sjoerds Z, Solowij N, Stein DJ, Stein EA, Uhlmann A, van Holst R, Veltman DJ, Wiers RW, Yücel M, Zhang S, Jahanshad N, Thompson PM, Conrod P, Mackey S, Garavan H. Mapping cortical and subcortical asymmetries in substance dependence: Findings from the ENIGMA Addiction Working Group. Addiction Biology 2021, 26: e13010. PMID: 33508888, PMCID: PMC8317852, DOI: 10.1111/adb.13010.Peer-Reviewed Original ResearchConceptsENIGMA Addiction Working GroupSubstance dependenceBrain asymmetrySubstance-specific effectsAltered brain structureNondependent participantsStructural brain asymmetrySubcortical asymmetriesNucleus accumbensNicotine dependencePsychiatric diagnosisSubcortical regionsAlcohol dependenceWorking GroupBrain phenotypesBrain structuresVolume asymmetryHemispheric differentiationIndividualsParticipantsPrevious studiesMRI datasetsGroupAccumbensFindings
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 ResearchConceptsAlcohol 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 biomarkersEffects 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 precuneusCommon and gender‐specific associations with cocaine use on gray matter volume: Data from the ENIGMA addiction working group
Rabin RA, Mackey S, Parvaz MA, Cousijn J, Li C, Pearlson G, Schmaal L, Sinha R, Stein E, Veltman D, Thompson PM, Conrod P, Garavan H, Alia‐Klein N, Goldstein RZ. Common and gender‐specific associations with cocaine use on gray matter volume: Data from the ENIGMA addiction working group. Human Brain Mapping 2020, 43: 543-554. PMID: 32857473, PMCID: PMC8675419, DOI: 10.1002/hbm.25141.Peer-Reviewed Original ResearchConceptsGray matter volumeCocaine useCocaine-dependent individualsMatter volumeCD individualsWhole-brain linear regressionAnterior insulaHippocampal gray matter volumeSelect brain areasT1-weighted MRI scansGender-specific associationsTotal intracranial volumeENIGMA Addiction Working GroupCue-induced cravingLeft anterior insulaGender-specific mechanismsAge-matched participantsCD menCD womenVoxel-based morphometry dataControl menLimbic regionsClinical dataMRI scansBrain areas
2019
Subcortical 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
2015
Chapter 10 Genetic imaging consortium for addiction medicine From neuroimaging to genes
Mackey S, Kan KJ, Chaarani B, Alia-Klein N, Batalla A, Brooks S, Cousijn J, Dagher A, de Ruiter M, Desrivieres S, Ewing S, Goldstein RZ, Goudriaan AE, Heitzeg MM, Hutchison K, Li CS, London ED, Lorenzetti V, Luijten M, Martin-Santos R, Morales AM, Paulus MP, Paus T, Pearlson G, Schluter R, Momenan R, Schmaal L, Schumann G, Sinha R, Sjoerds Z, Stein DJ, Stein EA, Solowij N, Tapert S, Uhlmann A, Veltman D, van Holst R, Walter H, Wright MJ, Yucel M, Yurgelun-Todd D, Hibar DP, Jahanshad N, Thompson PM, Glahn DC, Garavan H, Conrod P. Chapter 10 Genetic imaging consortium for addiction medicine From neuroimaging to genes. Progress In Brain Research 2015, 224: 203-223. PMID: 26822360, PMCID: PMC4820288, DOI: 10.1016/bs.pbr.2015.07.026.Peer-Reviewed Original Research
2014
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
Thompson PM, Stein JL, Medland SE, Hibar DP, Vasquez AA, Renteria ME, Toro R, Jahanshad N, Schumann G, Franke B, Wright MJ, Martin NG, Agartz I, Alda M, Alhusaini S, Almasy L, Almeida J, Alpert K, Andreasen NC, Andreassen OA, Apostolova LG, Appel K, Armstrong NJ, Aribisala B, Bastin ME, Bauer M, Bearden CE, Bergmann Ø, Binder EB, Blangero J, Bockholt HJ, Bøen E, Bois C, Boomsma DI, Booth T, Bowman IJ, Bralten J, Brouwer RM, Brunner HG, Brohawn DG, Buckner RL, Buitelaar J, Bulayeva K, Bustillo JR, Calhoun VD, Cannon DM, Cantor RM, Carless MA, Caseras X, Cavalleri GL, Chakravarty MM, Chang KD, Ching CR, Christoforou A, Cichon S, Clark VP, Conrod P, Coppola G, Crespo-Facorro B, Curran JE, Czisch M, Deary IJ, de Geus EJ, den Braber A, Delvecchio G, Depondt C, de Haan L, de Zubicaray GI, Dima D, Dimitrova R, Djurovic S, Dong H, Donohoe G, Duggirala R, Dyer TD, Ehrlich S, Ekman CJ, Elvsåshagen T, Emsell L, Erk S, Espeseth T, Fagerness J, Fears S, Fedko I, Fernández G, Fisher SE, Foroud T, Fox PT, Francks C, Frangou S, Frey EM, Frodl T, Frouin V, Garavan H, Giddaluru S, Glahn DC, Godlewska B, Goldstein RZ, Gollub RL, Grabe HJ, Grimm O, Gruber O, Guadalupe T, Gur RE, Gur RC, Göring HH, Hagenaars S, Hajek T, Hall GB, Hall J, Hardy J, Hartman CA, Hass J, Hatton SN, Haukvik UK, Hegenscheid K, Heinz A, Hickie IB, Ho BC, Hoehn D, Hoekstra PJ, Hollinshead M, Holmes AJ, Homuth G, Hoogman M, Hong LE, Hosten N, Hottenga JJ, Hulshoff Pol HE, Hwang KS, Jack CR, Jenkinson M, Johnston C, Jönsson EG, Kahn RS, Kasperaviciute D, Kelly S, Kim S, Kochunov P, Koenders L, Krämer B, Kwok JB, Lagopoulos J, Laje G, Landen M, Landman BA, Lauriello J, Lawrie SM, Lee PH, Le Hellard S, Lemaître H, Leonardo CD, Li CS, Liberg B, Liewald DC, Liu X, Lopez LM, Loth E, Lourdusamy A, Luciano M, Macciardi F, Machielsen MW, MacQueen GM, Malt UF, Mandl R, Manoach DS, Martinot JL, Matarin M, Mather KA, Mattheisen M, Mattingsdal M, Meyer-Lindenberg A, McDonald C, McIntosh AM, McMahon FJ, McMahon KL, Meisenzahl E, Melle I, Milaneschi Y, Mohnke S, Montgomery GW, Morris DW, Moses EK, Mueller BA, Muñoz Maniega S, Mühleisen TW, Müller-Myhsok B, Mwangi B, Nauck M, Nho K, Nichols TE, Nilsson LG, Nugent AC, Nyberg L, Olvera RL, Oosterlaan J, Ophoff RA, Pandolfo M, Papalampropoulou-Tsiridou M, Papmeyer M, Paus T, Pausova Z, Pearlson GD, Penninx BW, Peterson CP, Pfennig A, Phillips M, Pike GB, Poline JB, Potkin SG, Pütz B, Ramasamy A, Rasmussen J, Rietschel M, Rijpkema M, Risacher SL, Roffman JL, Roiz-Santiañez R, Romanczuk-Seiferth N, Rose EJ, Royle NA, Rujescu D, Ryten M, Sachdev PS, Salami A, Satterthwaite TD, Savitz J, Saykin AJ, Scanlon C, Schmaal L, Schnack HG, Schork AJ, Schulz SC, Schür R, Seidman L, Shen L, Shoemaker JM, Simmons A, Sisodiya SM, Smith C, Smoller JW, Soares JC, Sponheim SR, Sprooten E, Starr JM, Steen VM, Strakowski S, Strike L, Sussmann J, Sämann PG, Teumer A, Toga AW, Tordesillas-Gutierrez D, Trabzuni D, Trost S, Turner J, Van den Heuvel M, van der Wee NJ, van Eijk K, van Erp TG, van Haren NE, van ‘t Ent D, van Tol MJ, Valdés Hernández MC, Veltman DJ, Versace A, Völzke H, Walker R, Walter H, Wang L, Wardlaw JM, Weale ME, Weiner MW, Wen W, Westlye LT, Whalley HC, Whelan CD, White T, Winkler AM, Wittfeld K, Woldehawariat G, Wolf C, Zilles D, Zwiers MP, Thalamuthu A, Schofield PR, Freimer NB, Lawrence NS, Drevets W, the Alzheimer’s Disease Neuroimaging Initiative, EPIGEN Consortium, IMAGEN Consortium, Saguenay Youth Study (SYS) Group. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging And Behavior 2014, 8: 153-182. PMID: 24399358, PMCID: PMC4008818, DOI: 10.1007/s11682-013-9269-5.Peer-Reviewed Original ResearchMeSH KeywordsBrain MappingCooperative BehaviorGenome-Wide Association StudyHumansMeta-Analysis as TopicNeuroimagingConceptsAttention-deficit/hyperactivity disorderENIGMA consortiumDeficit/hyperactivity disorderMeta-Analysis (ENIGMA) consortiumWhite matter microstructureBipolar illnessHippocampal volumeMajor depressionEnhancing Neuroimaging GeneticsENIGMA studySubcortical volumesIntracranial volumeReplication of findingsHyperactivity disorderLarge-scale studiesCHARGE ConsortiumCommon variantsMeta-analyzed resultsBrainGenetic associationSubjectsWorking Group
2013
Effects of Androgen Deprivation on Cerebral Morphometry in Prostate Cancer Patients – An Exploratory Study
Chao HH, Hu S, Ide JS, Uchio E, Zhang S, Rose M, Concato J, Li CS. Effects of Androgen Deprivation on Cerebral Morphometry in Prostate Cancer Patients – An Exploratory Study. PLOS ONE 2013, 8: e72032. PMID: 23977199, PMCID: PMC3747074, DOI: 10.1371/journal.pone.0072032.Peer-Reviewed Original ResearchConceptsAndrogen deprivation therapyProstate cancer patientsGray matter volumeMagnetic resonance imagingPrimary motor cortexCancer patientsVoxel-based morphometryMatter volumeMotor cortexProstate cancerEffects of ADTLow-risk prostate cancerCerebral gray matter volumeStatistical Parametric Mapping 8Utility of brainControl participantsHigh-resolution magnetic resonance imagingPotential side effectsQuality of lifeResolution magnetic resonance imagingSame time pointsFunctional magnetic resonance imagingHigh-resolution T1Prefrontal cortical activationDorsolateral prefrontal cortex