Disrupting abnormal neuronal oscillations with adaptive delayed feedback control

Area of Science:

• Neuroscience
• Biomedical Engineering
• Control Theory

Background:

• Closed-loop neuronal stimulation offers therapeutic potential for neurological disorders like Parkinson's disease.
• Current methods often use open-loop stimulation, necessitating research into adaptive controllers.
• Delayed feedback control (DFC) is a proposed closed-loop technique for neuronal desynchronization, previously limited to computational studies.

Purpose of the Study:

• To implement and evaluate Delayed Feedback Control (DFC) in real neuronal populations for the first time.
• To assess the efficacy of DFC in disrupting pathological neuronal oscillations.
• To develop and validate an improved adaptive DFC (aDFC) for enhanced therapeutic outcomes.

Main Methods:

• Implementation of DFC in specialized in vitro neuronal platforms with high spatiotemporal resolution.
• Comparative analysis of conventional DFC and a novel adaptive DFC (aDFC) algorithm.
• Utilizing advanced monitoring and stimulation capabilities to assess neuronal population activity.

Main Results:

• Conventional DFC was found to exacerbate neuronal population oscillations, contrary to expectations.
• The developed adaptive DFC (aDFC) effectively disrupted collective neuronal oscillations.
• aDFC successfully restored a more physiological state in neuronal networks.

Conclusions:

• Conventional DFC is not suitable for disrupting neuronal oscillations in practice.
• Adaptive DFC (aDFC) demonstrates superior performance in controlling neuronal activity.
• aDFC presents a promising advancement for therapeutic closed-loop brain stimulation strategies.