2024
Common and unique brain aging patterns between females and males quantified by large‐scale deep learning
Du Y, Yuan Z, Sui J, Calhoun V. Common and unique brain aging patterns between females and males quantified by large‐scale deep learning. Human Brain Mapping 2024, 45: e70005. PMID: 39225381, PMCID: PMC11369911, DOI: 10.1002/hbm.70005.Peer-Reviewed Original ResearchConceptsBrain functional changesFunctional connectivityCognitive controlBrain agingBrain functionPatterns of brain agingResting-state brain functional connectivityBrain functional interactionsBrain functional connectivityHuman brain functionBrain aging patternsGender commonalitiesAge-related changesDeep learningHealthy participantsNormal agingNegative connectionFunctional changesBrainPositive connectionDeep learning modelsFunctional domainsAge effectsFunctional interactionsCross-validation scheme
2018
Positive Connectivity Predicts the Dynamic Intrinsic Topology of the Human Brain Network
Qian J, Diez I, Ortiz-Terán L, Bonadio C, Liddell T, Goñi J, Sepulcre J. Positive Connectivity Predicts the Dynamic Intrinsic Topology of the Human Brain Network. Frontiers In Systems Neuroscience 2018, 12: 38. PMID: 30214399, PMCID: PMC6125351, DOI: 10.3389/fnsys.2018.00038.Peer-Reviewed Original ResearchFunctional connectivity MRIHuman brain functional connectomeBrain functional connectomeNegative connectionFunctional connectomePositive connectionBrain network organizationStrength of negative correlationBrain areasFunctional connectivityNeuropsychiatric diseasesConnection path lengthsNeuroimaging biomarkersVoxel pairsNeuronal systemsConnectivity patternsFunctional negative correlationNegative correlationNetwork organizationCoincident interactionsPositive couplingConnectome
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