Personalized brain models link cognitive decline progression to underlying synaptic and connectivity degeneration.

ABSTRACT: Cognitive decline is a condition affecting almost one sixth of the elder population and is widely regarded as one of the first manifestations of Alzheimer's disease. Despite the extensive body of knowledge on the condition, there is no clear consensus on the structural defects and neurodegeneration processes determining cognitive decline evolution. Here, we introduce a Brain Network Model (BNM) simulating the effects of neurodegeneration on neural activity during cognitive processing. The model incorporates two key parameters accounting for distinct pathological mechanisms: synaptic degeneration, primarily leading to hyperexcitation, and brain disconnection. Through parameter optimization, we successfully replicated individual electroencephalography (EEG) responses recorded during task exe

SUBMITTER: Amato LG 

PROVIDER: S-EPMC11971895 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature