2022
A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome
Yoo K, Rosenberg MD, Kwon YH, Scheinost D, Constable RT, Chun MM. A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome. NeuroImage 2022, 257: 119279. PMID: 35577026, PMCID: PMC9307138, DOI: 10.1016/j.neuroimage.2022.119279.Peer-Reviewed Original ResearchConceptsDifferent cognitive statesCognitive stateWhole-brain functional connectomeRelevant individual differencesFunctional reorganizationFunctional magnetic resonanceResting-state dataSpecific task goalsTask-induced modulationHuman Connectome ProjectContext-dependent changesIndividual differencesTask goalsContextual demandsBehavioral predictionsCognitive behaviorFunctional connectomeConnectome ProjectBrain connectomeHuman brainBrain functional reorganizationC2C modelConnectomeBrainMemory
2021
Divergent connectomic organization delineates genetic evolutionary traits in the human brain
Bueichekú E, Gonzalez-de-Echavarri J, Ortiz-Teran L, Montal V, d’Oleire Uquillas F, De Marcos L, Orwig W, Kim C, Ortiz-Teran E, Basaia S, Diez I, Sepulcre J. Divergent connectomic organization delineates genetic evolutionary traits in the human brain. Scientific Reports 2021, 11: 19692. PMID: 34608211, PMCID: PMC8490416, DOI: 10.1038/s41598-021-99082-6.Peer-Reviewed Original ResearchConceptsEvolutionary traitsHomo sapiens lineageDN/dS ratiosPositive selectionCellular functionsEvolutionary pathwaysGene expressionGenetic expressionSapiens lineageBiological dataCo-localizationDivergent pathwaysFunctional specializationTraitsBiological qualityResting-state dataPathwayHuman brain functionSimian ancestorsExpressionConnectome organizationCognitive trajectoriesAncestorLineagesBrain function
2017
Connectome-based Models Predict Separable Components of Attention in Novel Individuals
Rosenberg MD, Hsu WT, Scheinost D, Constable R, Chun MM. Connectome-based Models Predict Separable Components of Attention in Novel Individuals. Journal Of Cognitive Neuroscience 2017, 30: 160-173. PMID: 29040013, DOI: 10.1162/jocn_a_01197.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingAttention Network TaskExecutive controlIntrinsic functional organizationRT variabilityANT performanceInfluential modelFunctional connectivityBrain's intrinsic functional organizationComponents of attentionExecutive control scoresResting-state functional connectivityResting-state dataFunctional brain networksFunctional organizationTask-based dataAttentional abilitiesUpcoming stimulusExplicit taskSustained attentionFMRI scanningAttention factorNovel individualsAdditional independent componentNetwork tasks
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