Heating during infrared neural stimulation

Area of Science:

• Biophysics
• Neuroscience
• Biomedical Engineering

Background:

• Infrared neural stimulation (INS) is an emerging alternative to electrical stimulation.
• INS mechanism involves water heating, potentially affecting cell membranes and heat-sensitive receptors.
• Precise temperature control is crucial to prevent cellular damage during INS.

Purpose of the Study:

• To develop and validate a detailed model for temperature distribution during INS.
• To investigate the application of this model for in vitro neural networks.
• To ensure safe and effective temperature management during INS.

Main Methods:

• A multiphysics software model was created to simulate heating in cell cultures.
• Experimental parameters included temperature, laser properties, and distance.
• Model validation was performed using temperature measurements and direct neural stimulation experiments.

Main Results:

• The model provided detailed spatial and temporal temperature distribution data.
• Temperature measurements confirmed the model's accuracy, with peak cell temperatures reaching 48°C.
• Successful INS of rat cortical neurons was achieved, demonstrating single-cell activation and network inhibition.

Conclusions:

• The developed model accurately predicts temperature profiles during INS.
• This model is a valuable tool for optimizing INS parameters and understanding its effects.
• The study successfully demonstrated INS of neural networks with controlled heating.