2022
Sex differences in default mode network connectivity in healthy aging adults
Ficek-Tani B, Horien C, Ju S, Xu W, Li N, Lacadie C, Shen X, Scheinost D, Constable T, Fredericks C. Sex differences in default mode network connectivity in healthy aging adults. Cerebral Cortex 2022, 33: 6139-6151. PMID: 36563018, PMCID: PMC10183749, DOI: 10.1093/cercor/bhac491.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainConnectomeDefault Mode NetworkFemaleHealthy AgingHumansMagnetic Resonance ImagingMaleNerve NetNeuropsychological TestsSex CharacteristicsConceptsDefault mode networkPreclinical Alzheimer's diseaseAlzheimer's diseaseSex differencesBrain connectivity changesDefault mode network connectivityIntrinsic connectivity distributionSeed-based analysisMode network connectivityMedial prefrontal cortexPosterior DMN nodesHealthy aging adultsImpact of sexLifetime riskDMN connectivityWhole brainPosterior cingulateDMN nodesSignificant sex differencesPrefrontal cortexConnectivity changesAging AdultsHealthy participantsDMN functionMode network
2020
Big data approaches to identifying sex differences in long-term memory
Tejavibulya L, Scheinost D. Big data approaches to identifying sex differences in long-term memory. Cognitive Neuroscience 2020, 12: 185-186. PMID: 33356847, PMCID: PMC8222419, DOI: 10.1080/17588928.2020.1866520.Peer-Reviewed Original ResearchMeSH KeywordsBig DataBrainFemaleHumansMagnetic Resonance ImagingMaleMemory, Long-TermSex Characteristics
2018
Resting-state functional connectivity predicts neuroticism and extraversion in novel individuals
Hsu WT, Rosenberg MD, Scheinost D, Constable RT, Chun MM. Resting-state functional connectivity predicts neuroticism and extraversion in novel individuals. Social Cognitive And Affective Neuroscience 2018, 13: 224-232. PMID: 29373729, PMCID: PMC5827338, DOI: 10.1093/scan/nsy002.Peer-Reviewed Original Research
2017
An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks
Salehi M, Karbasi A, Shen X, Scheinost D, Constable RT. An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks. NeuroImage 2017, 170: 54-67. PMID: 28882628, PMCID: PMC5905726, DOI: 10.1016/j.neuroimage.2017.08.068.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainBrain MappingFemaleHumansImage Processing, Computer-AssistedMaleModels, TheoreticalNerve NetSex CharacteristicsConceptsIndividualized parcellationParcellation techniqueFunctional networksCross-validated predictive modelSpecific functional networksCerebral cortexPatient subgroupsFunctional connectivity dataFunctional organizationBrainParcellation schemesClinical applicationParcellation approachParcellationSexSubgroupsConnectivity dataIndividualized studyNetwork organizationIndividualsAmple evidencePatientsCortex
2014
Sex differences in normal age trajectories of functional brain networks
Scheinost D, Finn ES, Tokoglu F, Shen X, Papademetris X, Hampson M, Constable RT. Sex differences in normal age trajectories of functional brain networks. Human Brain Mapping 2014, 36: 1524-1535. PMID: 25523617, PMCID: PMC5522589, DOI: 10.1002/hbm.22720.Peer-Reviewed Original Research