학술논문

Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias
Document Type
article
Source
Frontiers in Aging Neuroscience, Vol 15 (2023)
Subject
virtual brain modeling
brain dynamics
excitatory/inhibitory balance
Alzheimer’s disease
frontotemporal dementia
resting-state networks
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Language
English
ISSN
1663-4365
Abstract
IntroductionNeural circuit alterations lay at the core of brain physiopathology, and yet are hard to unveil in living subjects. The Virtual Brain (TVB) modeling, by exploiting structural and functional magnetic resonance imaging (MRI), yields mesoscopic parameters of connectivity and synaptic transmission.MethodsWe used TVB to simulate brain networks, which are key for human brain function, in Alzheimer’s disease (AD) and frontotemporal dementia (FTD) patients, whose connectivity and synaptic parameters remain largely unknown; we then compared them to healthy controls, to reveal novel in vivo pathological hallmarks.ResultsThe pattern of simulated parameter differed between AD and FTD, shedding light on disease-specific alterations in brain networks. Individual subjects displayed subtle differences in network parameter patterns that significantly correlated with their individual neuropsychological, clinical, and pharmacological profiles.DiscussionThese TVB simulations, by informing about a new personalized set of networks parameters, open new perspectives for understanding dementias mechanisms and design personalized therapeutic approaches.