Design of optimal nonlinear network controllers for Alzheimer's disease.

ABSTRACT: Brain stimulation can modulate the activity of neural circuits impaired by Alzheimer's disease (AD), having promising clinical benefit. However, all individuals with the same condition currently receive identical brain stimulation, with limited theoretical basis for this generic approach. In this study, we introduce a control theory framework for obtaining exogenous signals that revert pathological electroencephalographic activity in AD at a minimal energetic cost, while reflecting patients' biological variability. We used anatomical networks obtained from diffusion magnetic resonance images acquired by the Alzheimer's Disease Neuroimaging Initiative (ADNI) as mediators for the interaction between Duffing oscillators. The nonlinear nature of the brain dynamics is preserved, given that we e

SUBMITTER: Sanchez-Rodriguez LM 

PROVIDER: S-EPMC5967700 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature