Large‐scale analysis of structural brain asymmetries during neurodevelopment: Associations with age and sex in 4265 children and adolescents
Kurth F, Schijven D, van den Heuvel O, Hoogman M, van Rooij D, Stein D, Buitelaar J, Bölte S, Auzias G, Kushki A, Venkatasubramanian G, Rubia K, Bollmann S, Isaksson J, Jaspers‐Fayer F, Marsh R, Batistuzzo M, Arnold P, Bressan R, Stewart S, Gruner P, Sorensen L, Pan P, Silk T, Gur R, Cubillo A, Haavik J, Tuura R, Hartman C, Calvo R, McGrath J, Calderoni S, Jackowski A, Chantiluke K, Satterthwaite T, Busatto G, Nigg J, Gur R, Retico A, Tosetti M, Gallagher L, Szeszko P, Neufeld J, Ortiz A, Ghisleni C, Lazaro L, Hoekstra P, Anagnostou E, Hoekstra L, Simpson B, Plessen J, Deruelle C, Soreni N, James A, Narayanaswamy J, Reddy J, Fitzgerald J, Bellgrove M, Salum G, Janssen J, Muratori F, Vila M, Giral M, Ameis S, Bosco P, Remnélius K, Huyser C, Pariente J, Jalbrzikowski M, Rosa P, O'Hearn K, Ehrlich S, Mollon J, Zugman A, Christakou A, Arango C, Fisher S, Kong X, Franke B, Medland S, Thomopoulos S, Jahanshad N, Glahn D, Thompson P, Francks C, Luders E. Large‐scale analysis of structural brain asymmetries during neurodevelopment: Associations with age and sex in 4265 children and adolescents. Human Brain Mapping 2024, 45: e26754. PMID: 39046031, PMCID: PMC11267452, DOI: 10.1002/hbm.26754.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdolescent DevelopmentAge FactorsBrainChildChild DevelopmentChild, PreschoolFemaleFunctional LateralityHumansInfantMagnetic Resonance ImagingMaleSex CharacteristicsConceptsBrain asymmetryBrain regionsSex differencesStructural brain asymmetryCerebral asymmetryFindings lack consistencyBrain featuresEffects of ageSamples to dateEffect sizeBrainDifferential effectsAdolescentsAge effectsChildhoodInvestigate associationsSignificant asymmetryAssociated with ageSexMaleFindingsNeurodevelopmentAssociationDifferencesHemisphereNeurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm
Jiang Y, Luo C, Wang J, Palaniyappan L, Chang X, Xiang S, Zhang J, Duan M, Huang H, Gaser C, Nemoto K, Miura K, Hashimoto R, Westlye L, Richard G, Fernandez-Cabello S, Parker N, Andreassen O, Kircher T, Nenadić I, Stein F, Thomas-Odenthal F, Teutenberg L, Usemann P, Dannlowski U, Hahn T, Grotegerd D, Meinert S, Lencer R, Tang Y, Zhang T, Li C, Yue W, Zhang Y, Yu X, Zhou E, Lin C, Tsai S, Rodrigue A, Glahn D, Pearlson G, Blangero J, Karuk A, Pomarol-Clotet E, Salvador R, Fuentes-Claramonte P, Garcia-León M, Spalletta G, Piras F, Vecchio D, Banaj N, Cheng J, Liu Z, Yang J, Gonul A, Uslu O, Burhanoglu B, Uyar Demir A, Rootes-Murdy K, Calhoun V, Sim K, Green M, Quidé Y, Chung Y, Kim W, Sponheim S, Demro C, Ramsay I, Iasevoli F, de Bartolomeis A, Barone A, Ciccarelli M, Brunetti A, Cocozza S, Pontillo G, Tranfa M, Park M, Kirschner M, Georgiadis F, Kaiser S, Van Rheenen T, Rossell S, Hughes M, Woods W, Carruthers S, Sumner P, Ringin E, Spaniel F, Skoch A, Tomecek D, Homan P, Homan S, Omlor W, Cecere G, Nguyen D, Preda A, Thomopoulos S, Jahanshad N, Cui L, Yao D, Thompson P, Turner J, van Erp T, Cheng W, Feng J. Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm. Nature Communications 2024, 15: 5996. PMID: 39013848, PMCID: PMC11252381, DOI: 10.1038/s41467-024-50267-3.Peer-Reviewed Original ResearchConceptsGray matter changesDisorder constructsEnlarged striatumPsychiatric conditionsMental disordersSubcortical regionsSchizophreniaBiological foundationsMatter changesBrain imagingStriatumDisordersBiological factorsIndividualsSubtypesHealthy subjectsCross-sectional brain imagingHippocampusTemporal trajectoriesInternational cohortSubgroup 2Subgroup 1SubgroupsBrain‐age prediction: Systematic evaluation of site effects, and sample age range and size
Yu Y, Cui H, Haas S, New F, Sanford N, Yu K, Zhan D, Yang G, Gao J, Wei D, Qiu J, Banaj N, Boomsma D, Breier A, Brodaty H, Buckner R, Buitelaar J, Cannon D, Caseras X, Clark V, Conrod P, Crivello F, Crone E, Dannlowski U, Davey C, de Haan L, de Zubicaray G, Di Giorgio A, Fisch L, Fisher S, Franke B, Glahn D, Grotegerd D, Gruber O, Gur R, Gur R, Hahn T, Harrison B, Hatton S, Hickie I, Pol H, Jamieson A, Jernigan T, Jiang J, Kalnin A, Kang S, Kochan N, Kraus A, Lagopoulos J, Lazaro L, McDonald B, McDonald C, McMahon K, Mwangi B, Piras F, Rodriguez‐Cruces R, Royer J, Sachdev P, Satterthwaite T, Saykin A, Schumann G, Sevaggi P, Smoller J, Soares J, Spalletta G, Tamnes C, Trollor J, Ent D, Vecchio D, Walter H, Wang Y, Weber B, Wen W, Wierenga L, Williams S, Wu M, Zunta‐Soares G, Bernhardt B, Thompson P, Frangou S, Ge R, Group E. Brain‐age prediction: Systematic evaluation of site effects, and sample age range and size. Human Brain Mapping 2024, 45: e26768. PMID: 38949537, PMCID: PMC11215839, DOI: 10.1002/hbm.26768.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAgingBrainChildChild, PreschoolFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingSample SizeYoung AdultConceptsBrain-aging modelBrain-age predictionBrain-ageDiscovery sampleBrain morphometric measuresStructural neuroimaging dataSamples of healthy individualsSample age rangeNeuroimaging metricsNeuroimaging dataHealthy individualsLongitudinal consistencyBrain developmentIndependent samplesAge varianceAge rangeBrainSample sizeAge binsMorphometry dataIndividualsHuman lifespanEmpirical examinationMeaningful measuresFindingsUsing rare genetic mutations to revisit structural brain asymmetry
Kopal J, Kumar K, Shafighi K, Saltoun K, Modenato C, Moreau C, Huguet G, Jean-Louis M, Martin C, Saci Z, Younis N, Douard E, Jizi K, Beauchamp-Chatel A, Kushan L, Silva A, van den Bree M, Linden D, Owen M, Hall J, Lippé S, Draganski B, Sønderby I, Andreassen O, Glahn D, Thompson P, Bearden C, Zatorre R, Jacquemont S, Bzdok D. Using rare genetic mutations to revisit structural brain asymmetry. Nature Communications 2024, 15: 2639. PMID: 38531844, PMCID: PMC10966068, DOI: 10.1038/s41467-024-46784-w.Peer-Reviewed Original ResearchMeSH KeywordsBrainBrain MappingDNA Copy Number VariationsFunctional LateralityGenome-Wide Association StudyHumansMagnetic Resonance ImagingConceptsCopy number variationsGenome-wide association studiesBrain asymmetryPlanum temporale asymmetryHemispheric functional specializationStructural brain asymmetryCopy number variation carriersBrain-related phenotypesFacial cuesWord recognitionBrain lateralizationHuman cognitive capacitiesPerspective takingCognitive operationsRight hemispherePattern-learning approachBrain organizationLateralized functionsSusceptible to deletionGenetic influencesCognitive capacityAssociation studiesAsymmetry patternsGenomic deletionsGene sets