An Active, Multimodal Neural Interface for Real-Time Monitoring of Cortical Electrical, Thermal, and Optical Dynamics

Area of Science:

• Neuroscience
• Biomedical Engineering
• Materials Science

Background:

• Chronic neurophysiological monitoring is crucial for diagnosing and treating neurological disorders.
• Existing devices often lack multi-modality and high-fidelity sensing capabilities.
• Silicon-based active transistors offer advantages over passive electrodes for neural recording.

Purpose of the Study:

• To develop a chronically implantable, large-area cortical interface for real-time multimodal monitoring.
• To integrate electrical, thermal, and photodynamic signal detection into a single device.
• To overcome the limitations of single-modality sensing in current neurodynamic research.

Main Methods:

• A silicon-transistor array for neural electrical detection.
• Thin-film metal resistors integrated for temperature sensing.
• Leveraging the photoelectric effect of silicon transistors for photodynamic measurement.

Main Results:

• In vitro experiments confirmed long-term stability and channel isolation.
• In vivo evaluation in rats demonstrated reliable performance under physiological conditions.
• Biocompatibility assessments indicated suitability for chronic implantation.

Conclusions:

• The developed multifunctional platform enables continuous multimodal neurodynamic data acquisition.
• This technology has broad applicability in neural interfaces for chronic neurological condition management.
• Potential utility in monitoring, diagnosing, and treating conditions such as epilepsy and brain tumors.