Extracting individual neural activity recorded through splayed optical microfibers.

Area of Science:

• Neuroscience
• Biomedical Engineering
• Optical Physics

Background:

• Microfiber bundles offer potential for deep brain optical access and fluorescence activity sampling in 3D volumes.
• Individual microfibers have small diameters and splay during insertion, influencing their sampling properties.

Purpose of the Study:

• To model the interface properties of microfiber bundles for simulated neural populations.
• To investigate how fiber density affects fluorescence collection and overlap.
• To assess the feasibility of source separation for extracting individual neural contributions.

Main Methods:

• Superimposed fiber sensitivity profiles to model interface properties.
• Simulated neural populations to analyze fluorescence collection.
• Demonstrated a source separation technique tailored to the microfiber interface.

Main Results:

• Small microfiber bundles sample from few, non-overlapping neurons.
• Increasing fiber density leads to more uniform excitation and increased overlap.
• Source separation becomes feasible for extracting individual neural signals with higher fiber density.

Conclusions:

• Microfiber bundle modeling establishes performance expectations for deep brain optical interfaces.
• Provides a framework for estimating neural contributions under various conditions.
• Enables advanced analysis of neural activity through source separation techniques.