2024
Aging-dependent loss of functional connectivity in a mouse model of Alzheimer’s disease and reversal by mGluR5 modulator
Mandino F, Shen X, Desrosiers-Grégoire G, O’Connor D, Mukherjee B, Owens A, Qu A, Onofrey J, Papademetris X, Chakravarty M, Strittmatter S, Lake E. Aging-dependent loss of functional connectivity in a mouse model of Alzheimer’s disease and reversal by mGluR5 modulator. Molecular Psychiatry 2024, 1-16. PMID: 39424929, DOI: 10.1038/s41380-024-02779-z.Peer-Reviewed Original ResearchFunctional connectivity deficitsConnectivity deficitsFunctional connectivityBrain connectivityAllosteric modulators of mGluR5Alzheimer's diseaseDefault-mode networkModulation of mGluR5Loss of functional connectivityResting-state fMRIApplication of fMRIWild-type controlsAged AD miceMouse model of Alzheimer's diseaseAD-related changesAD miceModel of Alzheimer's diseaseAssociated with synaptic damageMGluR5 modulationMonths of ageFMRI measurementsAmyloid accumulationDecreased connectivityBrain networksSilent allosteric modulators
2017
Using connectome-based predictive modeling to predict individual behavior from brain connectivity
Shen X, Finn ES, Scheinost D, Rosenberg MD, Chun MM, Papademetris X, Constable RT. Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nature Protocols 2017, 12: 506-518. PMID: 28182017, PMCID: PMC5526681, DOI: 10.1038/nprot.2016.178.Peer-Reviewed Original Research
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