The Crunchometer, a low-cost, open-source acoustic analysis of feeding microstructure

Area of Science:

• Neuroscience
• Behavioral Science
• Bioacoustics

Background:

• Understanding appetite control requires detailed analysis of solid food consumption.
• Existing methods for monitoring feeding microstructure are often expensive or lack sufficient temporal resolution.

Purpose of the Study:

• To develop a low-cost, high-resolution acoustic system (Crunchometer) for analyzing solid food intake.
• To investigate the neural circuits governing feeding behavior using this new tool.

Main Methods:

• Developed the Crunchometer, an open-source acoustic system with computational algorithms.
• Validated the system across different energy states and in response to pharmacological and dietary manipulations.
• Integrated the Crunchometer with in vivo electrophysiology and calcium imaging in mice.

Main Results:

• The Crunchometer accurately captures feeding microstructure and detects changes related to hunger/satiety, drug effects, and diet preference.
• Identified 'meal-related' neurons in the lateral hypothalamus (LH) that track entire meals.
• Discovered distinct LH neuronal populations (GABAergic and glutamatergic) encoding feeding, licking, or both.

Conclusions:

• The Crunchometer is a robust and accessible platform for high-resolution analysis of feeding behavior.
• LH neuronal ensembles differentially encode solid food versus liquid consumption.
• This technology enables detailed dissection of the neural correlates of feeding at the single-bite level.