Xilin Shen, PhD
Cards
About
Research
Publications
2024
Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization
Vafaii H, Mandino F, Desrosiers-Grégoire G, O’Connor D, Markicevic M, Shen X, Ge X, Herman P, Hyder F, Papademetris X, Chakravarty M, Crair M, Constable R, Lake E, Pessoa L. Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization. Nature Communications 2024, 15: 229. PMID: 38172111, PMCID: PMC10764905, DOI: 10.1038/s41467-023-44363-z.Peer-Reviewed Original Research
2023
SMC5 Plays Independent Roles in Congenital Heart Disease and Neurodevelopmental Disability
O'Brien M, Pryzhkova M, Lake E, Mandino F, Shen X, Karnik R, Atkins A, Xu M, Ji W, Konstantino M, Brueckner M, Ment L, Khokha M, Jordan P. SMC5 Plays Independent Roles in Congenital Heart Disease and Neurodevelopmental Disability. International Journal Of Molecular Sciences 2023, 25: 430. PMID: 38203602, PMCID: PMC10779392, DOI: 10.3390/ijms25010430.Peer-Reviewed Original Research
2022
Functional network properties derived from wide-field calcium imaging differ with wakefulness and across cell type
O’Connor D, Mandino F, Shen X, Horien C, Ge X, Herman P, Hyder F, Crair M, Papademetris X, Lake E, Constable. Functional network properties derived from wide-field calcium imaging differ with wakefulness and across cell type. NeuroImage 2022, 264: 119735. PMID: 36347441, PMCID: PMC9808917, DOI: 10.1016/j.neuroimage.2022.119735.Peer-Reviewed Original Research
2021
Sex differences in connectivity in the default mode network in healthy aging adults
Ficek B, Horien C, Lacadie C, Shen X, Scheinost D, Constable T, Fredericks C. Sex differences in connectivity in the default mode network in healthy aging adults. Alzheimer's & Dementia 2021, 17 DOI: 10.1002/alz.056050.Peer-Reviewed Original ResearchIntrinsic connectivity distributionDefault mode networkAlzheimer's diseaseHealthy aging adultsElevated riskAging AdultsLarge cross-sectional studyPosterior default mode networkSex differencesMode networkCross-sectional cohortCross-sectional studyPreclinical Alzheimer's diseaseSymptomatic Alzheimer's diseaseResting-state scansSex-based differencesAnterior nodeAD showDMN connectivityHealthy adultsFunctional MRI dataNormal individualsResults FemalesZ-scoreFunctional connectivity
2020
Increased connectivity in several bilateral frontal and fronto‐parietal networks predicts depressive symptoms in mid‐ to late‐life diabetics
Salardini A, Shen X, Hashemi‐Aghdam A, Laltoo E, Savoia S, Tokoglu F, Constable T. Increased connectivity in several bilateral frontal and fronto‐parietal networks predicts depressive symptoms in mid‐ to late‐life diabetics. Alzheimer's & Dementia 2020, 16 DOI: 10.1002/alz.043619.Peer-Reviewed Original ResearchDepressive symptomsBeck Depression InventoryDiabetic individualsBDI scoresDepression InventoryPrefrontal cortexBackground Depressive symptomsLate-life diabetesVascular cognitive impairmentDiagnosis of diabetesHigher BDI scoresComprehensive neuropsychological testingDorsal prefrontal cortexBilateral ventromedial prefrontal cortexRs-fMRI dataDiabetic patientsFazekas scoreMoCA scoresNeuropsychological testingFunctional connectivity matricesCognitive impairmentDepression symptomsVentromedial prefrontal cortexSymptomsRs-fMRI
2019
Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis
Gao S, Shen X, Todd Constable R, Scheinost D. Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis. Lecture Notes In Computer Science 2019, 11766: 772-780. DOI: 10.1007/978-3-030-32248-9_86.Peer-Reviewed Original Research
2016
Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks
Scheinost D, Tokoglu F, Shen X, Finn ES, Noble S, Papademetris X, Constable RT. Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks. IEEE Transactions On Biomedical Engineering 2016, 63: 2540-2549. PMID: 27541328, PMCID: PMC5180443, DOI: 10.1109/tbme.2016.2600248.Peer-Reviewed Original ResearchConceptsGlobal brain activityResting-state networksWhole-brain connectivityBrain activityResting-state functional magnetic resonance imagingTime pointsFunctional resting-state networksFunctional magnetic resonance imagingMagnetic resonance imagingResting-state studyBrain statesRSN connectivitySensory functionSubcortical regionsResonance imagingCognitive functionCoactivation patternsUnique brain statesBrain connectivityActivity stateCritical time pointsFunctional networksSignal intensityVoxel-based methodBrain dynamics
2015
Methodological Issues in fMRI Functional Connectivity and Network Analysis
Finn E, Scheinost D, Shen X, Papademetris X, Constable R. Methodological Issues in fMRI Functional Connectivity and Network Analysis. 2015, 697-704. DOI: 10.1016/b978-0-12-397025-1.00352-3.Peer-Reviewed Original Research
2014
Functional Connectivity MR Imaging
Hampson M, Shen X, Constable R. Functional Connectivity MR Imaging. 2014, 83-104. DOI: 10.1007/978-1-4939-1995-6_6.Peer-Reviewed Original ResearchPerturbation of the eigenvectors of the graph Laplacian: Application to image denoising
Meyer F, Shen X. Perturbation of the eigenvectors of the graph Laplacian: Application to image denoising. Applied And Computational Harmonic Analysis 2014, 36: 326-334. DOI: 10.1016/j.acha.2013.06.004.Peer-Reviewed Original Research