Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias
Anita MonteverdiiD, Fulvia PalesiiD, Michael SchirneriD, Francesca Argentino, Mariateresa MeranteiD, Alberto RedolfiiD, Francesca ConcaiD, Laura MazzocchiiD, Stefano Francesco CappaiD, Matteo Cotta RamusinoiD, Alfredo Cardoso CostaiD, Anna PichiecchioiD, Lisa Maria FarinaiD, Viktor JirsaiD, Petra RitteriD, Claudia A. M. Gandini Wheeler‐KingshottiD, Egidio Ugo D'AngeloiD
Abstract
IntroductionNeural circuit alterations lay at the core of brain physiopathology, and yet are hard to unveil in living subjects. Virtual brain modelling (TVB), by exploiting structural and functional MRI, yields mesoscopic parameters of connectivity and synaptic transmission. MethodsWe used TVB to simulate brain networks, which are key for human brain function, in Alzheimers 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.
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