Electrical stimulation of certain parts of the brain could help promote healthy activity in neural circuits impaired by Alzheimer's disease, a neurodegenerative condition. This experimental treatment has shown some promise in clinical trials. However, all patients currently receive identical treatment protocols, potentially leading to different outcomes according to individual variations in brain signaling.
To investigate the possibility of personalized brain stimulation, Sanchez-Rodriguez and colleagues took a theoretical approach. They built a computational tool that incorporates patients' MRI scans and physiological brain signaling measurements to calculate optimal brain stimulation signals, with the goal of delivering efficient, effective personalized treatment.
Approach - Strategy - Riccati - Equation - Control
The new approach is based on a computational strategy known as the state-dependent Riccati equation control (SDRE), which has been applied in other fields -- such as aerospace engineering -- to optimize input signals that control dynamic, nonlinear systems like the human brain. This strategy enabled the new tool to identify specific...
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