2024
Cortical structure and subcortical volumes in conduct disorder: a coordinated analysis of 15 international cohorts from the ENIGMA-Antisocial Behavior Working Group
Gao Y, Staginnus M, Group E, Gao Y, Staginnus M, Townend S, Arango C, Bajaj S, Banaschewski T, Barker E, Benegal V, Berluti K, Bernhard A, Blair R, Boateng C, Bokde A, Brandeis D, Buitelaar J, Burt S, Cardinale E, Castro-Fornieles J, Chen H, Chen X, Chester S, Colins O, Cornwell H, Craig M, Cubillo A, Desrivieres S, Díaz D, Dietrich A, Dong D, Dykstra A, Franke B, Freitag C, Glennon J, Gonzalez-Madruga K, Hagan C, Hoekstra P, Holla B, Hyde L, Ibrahim K, Jabeen N, Jackson R, Jiang Y, Kohls G, Konrad K, Kypta-Vivanco A, Lamers K, Ma R, Marsh A, Martinelli A, Martinot J, Michalska K, Ming Q, Minosse S, Mitchell C, Monk C, Murphy D, Mycue L, Naaijen J, Oosterling M, Passamonti L, Pauli R, Alonso M, Phillips H, Ploe M, Raschle N, Roberts R, Rogers J, Rosa-Justicia M, Sagar-Ouriaghli I, Schulze U, Schumann G, Sethi A, Smaragdi A, Sonuga-Barke E, Stadler C, Stevens M, Sukhodolsky D, Sully K, Sun X, Toschi N, Townsend C, van der Wee N, Vermeiren R, Viding E, Wang X, Westerman H, Wu Q, Yao S, Zhang J, Zhou J, Zhou J, Jahanshad N, Thomopoulos S, Ching C, Kang M, Thompson P, Klapwijk E, Pine D, Baskin-Sommers A, Cecil C, Aghajani M, Walton E, Fairchild G, De Brito S. Cortical structure and subcortical volumes in conduct disorder: a coordinated analysis of 15 international cohorts from the ENIGMA-Antisocial Behavior Working Group. The Lancet Psychiatry 2024, 11: 620-632. PMID: 39025633, DOI: 10.1016/s2215-0366(24)00187-1.Peer-Reviewed Original ResearchConceptsGroup-by-age interactionCallous-unemotional traitsConduct disorder groupConduct disorderBrain structural alterationsSubcortical volumesDisorder groupDiagnosis of conduct disorderCaudal anterior cingulate cortexAnalysis of structural MRI dataCortical thicknessT1-weighted MRI brain scansBrain structural correlatesAnterior cingulate cortexSuperior temporal sulcusStructural MRI dataAssess group differencesMRI brain scansNucleus accumbensADHD comorbidityCingulate cortexDisorder subtypesSmaller amygdalaBrain alterationsTemporal sulcusCopula linked parallel ICA jointly estimates linked structural and functional MRI brain networks
Agcaoglu O, Alacam D, Adalı T, Calhoun V, Silva R, Plis S, Bostami B. Copula linked parallel ICA jointly estimates linked structural and functional MRI brain networks. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2024, 00: 1-4. PMID: 40040121, DOI: 10.1109/embc53108.2024.10781658.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingStructural MRIAmplitude of low frequency fluctuationsBrain imaging methodsStructural MRI dataFunctional network connectivityLow frequency fluctuationsEstimated independent sourcesBrain networksRegional homogeneityFMRI networksTemporal informationMagnetic resonance imagingFrequency fluctuationsAlzheimer's studiesBrainResonance imagingFusion approachUnmixing matrixNetwork connectivityReal-dataSensorimotorNetworkCerebellumCocaine self-administration behavior is associated with subcortical and cortical morphometry measures in individuals with cocaine use disorder
Kohler R, Zhornitsky S, Potenza M, Yip S, Worhunsky P, Angarita G. Cocaine self-administration behavior is associated with subcortical and cortical morphometry measures in individuals with cocaine use disorder. The American Journal Of Drug And Alcohol Abuse 2024, 50: 345-356. PMID: 38551365, PMCID: PMC11305926, DOI: 10.1080/00952990.2024.2318585.Peer-Reviewed Original ResearchGray-matter volumeSelf-administer cocaineSelf-administration behaviorCocaine use disorderSelf-AdministrationGray-matterFrontal cortexUse disorderCocaine self-administration behaviorSelf-administered cocaine infusionsCocaine Self-AdministrationSelf-administration paradigmInfusions self-administeredSelf-report assessmentsCortical brain regionsStructural MRI dataFR1 scheduleInsular thicknessCocaine infusionsPredisposing vulnerabilitiesCocaine consumptionCocaine useBrain regionsBilateral regionsLimbic system
2023
A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data
Rokham H, Falakshahi H, Calhoun V. A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-4. PMID: 38082903, DOI: 10.1109/embc40787.2023.10339949.Peer-Reviewed Original ResearchConceptsStructural MRI dataResting-state functional MRI dataFunctional MRI dataFunctional magnetic resonance imaging dataMRI dataMagnetic resonance imaging dataSchizophrenia patientsFunctional connectivity featuresBrain imaging modalitiesMental disordersNeuroimaging dataNeuroimaging techniquesBorderline subjectsHealthy control groupSchizophrenia datasetSchizophreniaConnectivity featuresBrainPsychosisMoodNosologyControl groupDisordersLabel noiseSubjects
2020
Sex differences in medial prefrontal and parietal cortex structure in children with disruptive behavior
Ibrahim K, Kalvin C, Li F, He G, Pelphrey KA, McCarthy G, Sukhodolsky DG. Sex differences in medial prefrontal and parietal cortex structure in children with disruptive behavior. Developmental Cognitive Neuroscience 2020, 47: 100884. PMID: 33254067, PMCID: PMC7704291, DOI: 10.1016/j.dcn.2020.100884.Peer-Reviewed Original ResearchConceptsDisruptive behavior disordersGray matter volumeCortical thicknessMatter volumeSex differencesDisruptive behavior severityCross-sectional studySex-specific associationsDisruptive behaviorLeft ventromedial prefrontal cortexWhole-brain analysisSurface-based morphometryStructural MRI dataHealthy controlsSex-specific differencesNeural biomarkersTarget-based treatmentVentromedial prefrontal cortexMedial prefrontalBehavior disorderPrefrontal cortexBrain structuresSupramarginal gyrusRespective controlsVmPFC volume
2011
Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI
Skup M, Zhu H, Wang Y, Giovanello KS, Lin JA, Shen D, Shi F, Gao W, Lin W, Fan Y, Zhang H, Initiative T. Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI. NeuroImage 2011, 56: 890-906. PMID: 21356315, PMCID: PMC3085726, DOI: 10.1016/j.neuroimage.2011.02.060.Peer-Reviewed Original ResearchConceptsGrey matter atrophy patternsAlzheimer's Disease Neuroimaging InitiativeProbable Alzheimer's diseaseAlzheimer's diseaseAmnestic mild cognitive impairmentAtrophy patternsDisease Neuroimaging InitiativeLongitudinal magnetic resonance imaging (MRI) dataPredetermined brain regionsBilateral caudate nucleusAMCI groupBilateral middle temporal gyrusVoxel-wise analysisMild cognitive impairmentGray matter regionsMiddle temporal gyrusBilateral thalamusBrain atrophyStructural MRI dataHealthy controlsGrey matter dataMagnetic resonance imaging dataAD groupBilateral precuneusCaudate nucleus
2004
Automated analysis of structural MRI data
Thompson P, Rapoport J, Cannon T, Toga A. Automated analysis of structural MRI data. 2004, 119-166. DOI: 10.1093/oso/9780198525967.003.0006.Peer-Reviewed Original Research
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