Posterior Cortical Atrophy

This study is being completed to learn if high-definition transcranial direct current stimulation (HD-tDCS) has an effect on visual and thinking abilities in persons with posterior cortical atrophy (PCA). Participants will be randomized to receive real or sham HD-tDCS (8 sessions over 4 days). Following the randomized treatment, participants will have optional open-label phase with real HD-tDCS up to 26 weeks and other possible testing.

Patients with Alzheimer's disease and with early onset of symptoms (\<65 years) (AD-Y) have a multi-domain cognitive deficit, whereas memory disorders (typical of the elderly patient's AD) are less often in the foreground. In addition, some MA-J have an atypical phenotype indicating focal brain damage, although they have the same pathological lesions: amyloid deposits and tau protein deposition (DNF). This is the case of posterior cortical atrophy (PCA) characterized by complex visual disturbances and atrophy affecting the more posterior regions of the brain. Based on the clinical profile of PCA patients, a more refined anatomo-clinical classification was proposed, distinguishing a rather "ventral" form and a rather "dorsal" form. The recent arrival of tau-specific PET tracers now makes it possible to evaluate in vivo fibrillary neurodegeneration (FND), which is well correlated with the severity of cognitive disorders. Advances in MRI have shown that each neurodegenerative syndrome targets a large-scale neural network, which in turn shows a vulnerability for a specific biological disease. In the case of AD, the reason for such a difference in cognitive and anatomical impairment between patients with diffuse involvement and others with more focal involvement is not known. One possible explanation is the existence, in focal forms, of neuronal mechanisms that oppose vulnerability. These mechanisms may correspond to the so-called "resilience" phenomenon, defined as resistance to a neuropathological process by the ability to optimize cognitive performance via the efficient recruitment of neural networks. The mechanisms underlying resilience in neurodegeneration are unknown. Their identification is very important for the management and treatment of AD.