Review discusses improvements in neuromodulation methods to enhance treatment in neuropsychiatric disorders, indicating a shift towards network-based control strategies.
Key Points
The review aims to explore the transition from single-site deep brain stimulation to network-centric, state-based neuromodulation for neuropsychiatric disorders.
Examines existing deep brain stimulation techniques and their limitations.
Proposes network-based, state-driven control policies in neuromodulation.
Identifies and discusses three emerging paradigms for targeting network configurations.
Advocates for incorporating continuous, adaptive, and patterned stimulation approaches.
Highlights the necessity of multimodal and multi-feature state estimation for effective neuromodulation.
Emphasizes the integration of connectomic mapping and electrophysiological data for personalized treatment.