Brain Connectivity and Complexity Parameters to Monitor Disease Progression in Dementia Patients and Antiinflammatory Nanotherapeutics in a Preclinical Model of Alzheimer's Disease

The variable course of Alzheimer's disease (AD) and the paucity of adequate cures urges to implement new strategies for its early detection and clinical intervention. Studying the etiopathogenesis and pathophysiological mechanisms of AD is a necessary prerequisite for the development of new biomarkers and innovative therapies. Contrarily to anatomical structures, cortical connectivity networks are already deteriorated in early AD and could be a reliable marker of early cognitive decline. Our aim is to characterize the neurophysiological parameters in mild AD, in patients with mild cognitive impairment and in matched healthy subjects to identify discriminating criteria. Concurrently, the study of AD onset and progression in a mouse model, will allow evaluating the causal effect of inflammation on disease progression and to develop a new class of biomimetic anti-inflammatory nanoparticles formulated to have the intrinsic ability to induce brain's activated microglia to an M2 phenotype.