Neurophysiological Progression in Alzheimer's Disease: Insights From Dynamic Causal Modelling of Longitudinal Magnetoencephalography
Jafarian A, Assem M, Kocagoncu E, Lanskey J, Fye H, Williams R, Quinn A, Pitt J, Raymont V, Lowe S, Singh K, Woolrich M, Nobre A, Henson R, Friston K, Rowe J. Neurophysiological Progression in Alzheimer's Disease: Insights From Dynamic Causal Modelling of Longitudinal Magnetoencephalography. Human Brain Mapping 2025, 46: e70234. PMID: 40396657, PMCID: PMC12093352, DOI: 10.1002/hbm.70234.Peer-Reviewed Original ResearchConceptsDynamic causal modelingAssociated with neurophysiological changesCognitive declineMedial prefrontal cortexAlzheimer's diseaseCausal modelEffects of Alzheimer's diseaseHuman neuroimaging dataExperimental medicine studiesRegion-SpecificLongitudinal changesApplication of dynamic causal modelingResting-state magnetoencephalographyMild cognitive impairmentPrefrontal cortexAmyloid-positive mild cognitive impairmentMode networkNMDA neurotransmissionTwenty-nine peopleNMDA type glutamate receptorsNeuroimaging dataCortical regionsEffective connectivityNeuropsychiatric diseasesNeuronal vulnerability
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