2024
A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer’s disease using resting-state functional network connectivity
Hassanzadeh R, Abrol A, Pearlson G, Turner J, Calhoun V. A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer’s disease using resting-state functional network connectivity. PLOS ONE 2024, 19: e0293053. PMID: 38768123, PMCID: PMC11104643, DOI: 10.1371/journal.pone.0293053.Peer-Reviewed Original ResearchConceptsResting-state functional network connectivityFunctional network connectivityResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingAlzheimer's diseaseClassification of schizophreniaNetwork pairsPatients to healthy controlsSchizophrenia patientsNeurobiological mechanismsSZ patientsSubcortical networksCerebellum networkSchizophreniaRs-fMRIDisorder developmentMotor networkCompare patient groupsSubcortical domainSZ disorderHealthy controlsMagnetic resonance imagingDisordersNetwork connectivityFunctional abnormalitiesThe risk of cannabis use disorder is mediated by altered brain connectivity: A chronnectome study
Fazio G, Olivo D, Wolf N, Hirjak D, Schmitgen M, Werler F, Witteman M, Kubera K, Calhoun V, Reith W, Wolf R, Sambataro F. The risk of cannabis use disorder is mediated by altered brain connectivity: A chronnectome study. Addiction Biology 2024, 29: e13395. PMID: 38709211, PMCID: PMC11072977, DOI: 10.1111/adb.13395.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultBrainCase-Control StudiesConnectomeDefault Mode NetworkFemaleHumansMagnetic Resonance ImagingMaleMarijuana AbuseNerve NetYoung AdultConceptsRisk of cannabis use disorderCannabis use disorderDynamic functional connectivityFunctional connectivityUse disorderTreatment of cannabis use disorderAt-risk individualsResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingCannabis-related problemsDefault-mode networkPatterns of FCCognitive-controlCUDIT-RBrain mechanismsSubcortical functionBrain networksSelf-screening questionnaireBrain connectivityBrain functionSensory-motorNeurostimulation treatmentsMagnetic resonance imagingBrainCluster states
2023
Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium
Schijven D, Postema M, Fukunaga M, Matsumoto J, Miura K, de Zwarte S, van Haren N, Cahn W, Pol H, Kahn R, Ayesa-Arriola R, de la Foz V, Tordesillas-Gutierrez D, Vázquez-Bourgon J, Crespo-Facorro B, Alnæs D, Dahl A, Westlye L, Agartz I, Andreassen O, Jönsson E, Kochunov P, Bruggemann J, Catts S, Michie P, Mowry B, Quidé Y, Rasser P, Schall U, Scott R, Carr V, Green M, Henskens F, Loughland C, Pantelis C, Weickert C, Weickert T, de Haan L, Brosch K, Pfarr J, Ringwald K, Stein F, Jansen A, Kircher T, Nenadić I, Krämer B, Gruber O, Satterthwaite T, Bustillo J, Mathalon D, Preda A, Calhoun V, Ford J, Potkin S, Chen J, Tan Y, Wang Z, Xiang H, Fan F, Bernardoni F, Ehrlich S, Fuentes-Claramonte P, Garcia-Leon M, Guerrero-Pedraza A, Salvador R, Sarró S, Pomarol-Clotet E, Ciullo V, Piras F, Vecchio D, Banaj N, Spalletta G, Michielse S, van Amelsvoort T, Dickie E, Voineskos A, Sim K, Ciufolini S, Dazzan P, Murray R, Kim W, Chung Y, Andreou C, Schmidt A, Borgwardt S, McIntosh A, Whalley H, Lawrie S, du Plessis S, Luckhoff H, Scheffler F, Emsley R, Grotegerd D, Lencer R, Dannlowski U, Edmond J, Rootes-Murdy K, Stephen J, Mayer A, Antonucci L, Fazio L, Pergola G, Bertolino A, Díaz-Caneja C, Janssen J, Lois N, Arango C, Tomyshev A, Lebedeva I, Cervenka S, Sellgren C, Georgiadis F, Kirschner M, Kaiser S, Hajek T, Skoch A, Spaniel F, Kim M, Bin Kwak Y, Oh S, Kwon J, James A, Bakker G, Knöchel C, Stäblein M, Oertel V, Uhlmann A, Howells F, Stein D, Temmingh H, Diaz-Zuluaga A, Pineda-Zapata J, López-Jaramillo C, Homan S, Ji E, Surbeck W, Homan P, Fisher S, Franke B, Glahn D, Gur R, Hashimoto R, Jahanshad N, Luders E, Medland S, Thompson P, Turner J, van Erp T, Francks C. Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium. Proceedings Of The National Academy Of Sciences Of The United States Of America 2023, 120: e2213880120. PMID: 36976765, PMCID: PMC10083554, DOI: 10.1073/pnas.2213880120.Peer-Reviewed Original Research