2020
A whole‐brain modeling approach to identify individual and group variations in functional connectivity
Zhao Y, Caffo BS, Wang B, Li C, Luo X. A whole‐brain modeling approach to identify individual and group variations in functional connectivity. Brain And Behavior 2020, 11: e01942. PMID: 33210469, PMCID: PMC7821576, DOI: 10.1002/brb3.1942.Peer-Reviewed Original ResearchConceptsWhole-brain functional connectivityFunctional connectivityResting-state functional connectivityVoxel-wise levelMedium-sized cohortBrain areasWhole brainGroup differencesResting-state fMRI datasetsHuman Connectome ProjectMatrix regression methodBrain subnetworksCovariatesConnectome ProjectSubjectsDimension reduction approachStatistical powerCohortModeling approachBrainStatistical methods
2019
The individual functional connectome is unique and stable over months to years
Horien C, Shen X, Scheinost D, Constable RT. The individual functional connectome is unique and stable over months to years. NeuroImage 2019, 189: 676-687. PMID: 30721751, PMCID: PMC6422733, DOI: 10.1016/j.neuroimage.2019.02.002.Peer-Reviewed Original ResearchConceptsHigh ID ratesIndividual differencesFunctional connectomeIndividual functional connectomesStable individual differencesID rateResting-state fMRI datasetsFrontoparietal networkFunctional connectivityParietal cortexFMRI datasetsIdiosyncratic aspectsConnectomeHead motionEntire brainFMRIBrainCortexSpecific datasetDifferencesConnectivity
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