2024
A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development
Wang Y, Qiao C, Qu G, Calhoun V, Stephen J, Wilson T, Wang Y. A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development. IEEE Transactions On Biomedical Engineering 2024, 71: 3390-3401. PMID: 38968024, PMCID: PMC11700232, DOI: 10.1109/tbme.2024.3423803.Peer-Reviewed Original ResearchDynamic effective connectivityEffective connectivityBrain developmentBrain developmental trajectoriesPhiladelphia Neurodevelopmental CohortLearning modelsNeurodevelopmental CohortBrain regionsDevelopmental trajectoriesSpatio-temporal dataInformation processing capabilitiesFuse informationCausal LearnerYoung adultsGenomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries
García-Marín L, Campos A, Diaz-Torres S, Rabinowitz J, Ceja Z, Mitchell B, Grasby K, Thorp J, Agartz I, Alhusaini S, Ames D, Amouyel P, Andreassen O, Arfanakis K, Arias-Vasquez A, Armstrong N, Athanasiu L, Bastin M, Beiser A, Bennett D, Bis J, Boks M, Boomsma D, Brodaty H, Brouwer R, Buitelaar J, Burkhardt R, Cahn W, Calhoun V, Carmichael O, Chakravarty M, Chen Q, Ching C, Cichon S, Crespo-Facorro B, Crivello F, Dale A, Smith G, de Geus E, De Jager P, de Zubicaray G, Debette S, DeCarli C, Depondt C, Desrivières S, Djurovic S, Ehrlich S, Erk S, Espeseth T, Fernández G, Filippi I, Fisher S, Fleischman D, Fletcher E, Fornage M, Forstner A, Francks C, Franke B, Ge T, Goldman A, Grabe H, Green R, Grimm O, Groenewold N, Gruber O, Gudnason V, Håberg A, Haukvik U, Heinz A, Hibar D, Hilal S, Himali J, Ho B, Hoehn D, Hoekstra P, Hofer E, Hoffmann W, Holmes A, Homuth G, Hosten N, Ikram M, Ipser J, Jack Jr C, Jahanshad N, Jönsson E, Kahn R, Kanai R, Klein M, Knol M, Launer L, Lawrie S, Hellard S, Lee P, Lemaître H, Li S, Liewald D, Lin H, Longstreth W, Lopez O, Luciano M, Maillard P, Marquand A, Martin N, Martinot J, Mather K, Mattay V, McMahon K, Mecocci P, Melle I, Meyer-Lindenberg A, Mirza-Schreiber N, Milaneschi Y, Mosley T, Mühleisen T, Müller-Myhsok B, Maniega S, Nauck M, Nho K, Niessen W, Nöthen M, Nyquist P, Oosterlaan J, Pandolfo M, Paus T, Pausova Z, Penninx B, Pike G, Psaty B, Pütz B, Reppermund S, Rietschel M, Risacher S, Romanczuk-Seiferth N, Romero-Garcia R, Roshchupkin G, Rotter J, Sachdev P, Sämann P, Saremi A, Sargurupremraj M, Saykin A, Schmaal L, Schmidt H, Schmidt R, Schofield P, Scholz M, Schumann G, Schwarz E, Shen L, Shin J, Sisodiya S, Smith A, Smoller J, Soininen H, Steen V, Stein D, Stein J, Thomopoulos S, Toga A, Tordesillas-Gutiérrez D, Trollor J, Valdes-Hernandez M, van ′t Ent D, van Bokhoven H, van der Meer D, van der Wee N, Vázquez-Bourgon J, Veltman D, Vernooij M, Villringer A, Vinke L, Völzke H, Walter H, Wardlaw J, Weinberger D, Weiner M, Wen W, Westlye L, Westman E, White T, Witte A, Wolf C, Yang J, Zwiers M, Ikram M, Seshadri S, Thompson P, Satizabal C, Medland S, Rentería M. Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries. Nature Genetics 2024, 56: 2333-2344. PMID: 39433889, PMCID: PMC12088653, DOI: 10.1038/s41588-024-01951-z.Peer-Reviewed Original ResearchSubcortical brain volumesBrain volumePolygenic scoresEffects of brain volumeAttention-deficit/hyperactivity disorderIndividuals of diverse ancestryComorbid neuropsychiatric disordersSubcortical brain structuresGenome-wide association study meta-analysesBrain substratesParticipants of European ancestryAttention-deficit/hyperactivityGene expression patternsNeuropsychiatric disordersDifferentiation time pointsBrain structuresGenomic analysisDiverse ancestryBrain developmentStudy meta-analysesGenetic variantsNeural cell typesPhenotypic varianceRisk genesAging-related processesReplication and Refinement of Brain Age Model for Adolescent Development
Ray B, Chen J, Fu Z, Suresh P, Thapaliya B, Farahdel B, Calhoun V, Liu J. Replication and Refinement of Brain Age Model for Adolescent Development. 2024, 00: 1-5. DOI: 10.1109/isbi56570.2024.10635532.Peer-Reviewed Original ResearchBrain age modelAdolescent Brain Cognitive DevelopmentInformation processing speedBrain age gapABCD participantsBrain agingVerbal comprehension abilityEstimated brain ageEstimation of brain ageNeuropsychiatric problemsProcessing speedCognitive developmentAdolescent developmentAge gapComprehension abilityBrain developmentAge rangeBrainChronological ageAdolescentsParticipantsBaselineSearching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities
Fu Z, Batta I, Wu L, Abrol A, Agcaoglu O, Salman M, Du Y, Iraji A, Shultz S, Sui J, Calhoun V. Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities. NeuroImage 2024, 292: 120617. PMID: 38636639, PMCID: PMC11416721, DOI: 10.1016/j.neuroimage.2024.120617.Peer-Reviewed Original ResearchConceptsFunctional MRIStructural MRIResting-state scanSpatial similarity analysisMental health researchBrain markersDiffusion MRIAge differencesBrain featuresNeuromarkersBrain disordersYoung adult cohortBrain developmentWell-replicatedHuman brainBrainDiffusion MRI dataData-driven analysisDisordersSimilarity analysisAge cohortsGeneralizabilityPopulation-based researchAdult cohortAge-specific adaptationA Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age
Saha R, Saha D, Rahaman A, Fu Z, Liu J, Calhoun V. A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age. Brain Connectivity 2024, 14: 130-140. PMID: 38308475, PMCID: PMC10954605, DOI: 10.1089/brain.2023.0040.Peer-Reviewed Original ResearchFunctional network connectivityFunctional connectivityPsychiatric problemsFunctional network connectivity matricesNetwork connectivityMultivariate patternsWhole-brain functional networksIntrinsic functional connectivityPattern of functional changesBrain functional connectivityIntrinsic functional relationshipLongitudinal changesAdolescent brainAge-related changesBrain networksStudy developmental changesScanning sessionBrain functionAssociated with longitudinal changesCognitive scoresDevelopmental changesBrain developmentFunctional changesCognitionLongitudinal change patterns
2023
Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain
Saha R, Saha D, Fu Z, Silva R, Calhoun V. Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain. 2023, 00: 1-5. DOI: 10.1109/bhi58575.2023.10313489.Peer-Reviewed Original ResearchFunctional network connectivityAdolescent brainPotential gender-related differencesBilateral sensorimotor cortexStructural magnetic resonance imagingMagnetic resonance imagingBrain functional connectivityGender-related differencesSensorimotor cortexLongitudinal change patternsGrey matter dataResonance imagingJoint independent component analysisLongitudinal changesFunctional connectivityBrain developmentBrain functionEntire brainBrain connectivityBrain connectionsBrain analysisBrainSensorimotor domainModalitiesSMRI dataDevelopmental changes in endogenous testosterone have sexually‐dimorphic effects on spontaneous cortical dynamics
Picci G, Ott L, Penhale S, Taylor B, Johnson H, Willett M, Okelberry H, Wang Y, Calhoun V, Stephen J, Wilson T. Developmental changes in endogenous testosterone have sexually‐dimorphic effects on spontaneous cortical dynamics. Human Brain Mapping 2023, 44: 6043-6054. PMID: 37811842, PMCID: PMC10619376, DOI: 10.1002/hbm.26496.Peer-Reviewed Original ResearchConceptsCortical activityRobust sex differencesFunctional brain developmentTypically-developing youthSpontaneous cortical activityLowest relative powerCortical dynamicsEndogenous testosteronePrefrontal cortexExecutive functionFrontal cortexPubertal hormonesNeural circuitryResting-stateStructural MRIEffects of testosteroneSex differencesEffects of endogenous testosteroneDevelopmental changesBrain developmentReverse patternBehavioral changesGamma activityDevelopmental windowDevelopmental patternsF71. NETWORK OF CO-METHYLATION ASSOCIATED WITH GREY MATTER MATURATION IN HUMAN ADOLESCENCE
Jensen D, Chen J, Turner J, Stephen J, Wang Y, Wilson T, Calhoun V, Liu J. F71. NETWORK OF CO-METHYLATION ASSOCIATED WITH GREY MATTER MATURATION IN HUMAN ADOLESCENCE. European Neuropsychopharmacology 2023, 75: s258-s259. DOI: 10.1016/j.euroneuro.2023.08.455.Peer-Reviewed Original ResearchStructural MRIBrain maturationNeuronal systemsCo-methylation network analysisPeriod of brain maturationAdolescent brain developmentAdolescent brain maturationPhases of neurodevelopmentIndependent component analysisGray matterHuman brain structureGM maturationDNAm changesCo-methylation modulesPrefrontal cortexExecutive functionFrontal poleGM volumeTime pointsSubjects aged 9Brain structuresCpG sitesSynaptic pruningBrain developmentDNA methylationDeep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity
Qiao C, Gao B, Liu Y, Hu X, Hu W, Calhoun V, Wang Y. Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity. Medical Image Analysis 2023, 90: 102941. PMID: 37683445, DOI: 10.1016/j.media.2023.102941.Peer-Reviewed Original ResearchFunctional connectivityBrain functional connectivityBrain networksDynamic brain functional connectivityDeep networksFunctional brain networksInformation processing abilityBrain development studiesEmotional processingDeep learning approachFeature selection strategyMachine learning modelsProcessing abilityBrain developmentCognitive activityDeep learningAccuracy-orientedSound processingBrainDevelopmental patternsLearning approachLearning modelsMental regulationSelection strategyInformation transmission mechanism
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