LMT USV Toolbox

LMT USV Toolbox analyzes ultrasonic vocalizations (USVs) in mice to detect and label calls and link them to automated behavioral annotations for studies of communication, development, and neuropsychiatric models (e.g., Shank3-associated autism).

Key Features:

• Automated Analysis: Performs automated detection and labeling of USVs, reducing manual annotation time for large behavioral datasets.
• Behavioral Context Integration: Couples USV analysis with automatic behavioral labeling to correlate vocalizations with specific social behaviors.
• Long-term and Unconstrained Observation: Supports continuous recording in unconstrained environments to capture spontaneous communication over extended periods (e.g., 3 days).
• Age-Related Insights: Enables examination of how USV usage and acoustic structure evolve across developmental stages.
• Neuropsychiatric Model Analysis: Analyzes USVs from mouse models lacking specific genes (e.g., Shank3) to identify vocalization differences relevant to autism and other neuropsychiatric conditions.
• Recording Requirements: Requires recordings with minimized background noise to ensure accurate automated detection.

Scientific Applications:

• Behavioral Neuroscience: Study communication dynamics and social interactions among mice by linking vocalizations to behavioral events.
• Neuropsychiatric Disorder Models: Characterize vocal phenotypes in mouse models of autism and related disorders, including analyses of Shank3 mutants.
• Developmental Studies: Track developmental trajectories of USV production and acoustic features over age.

Methodology:

Continuous recording of mouse interactions combined with computational USV detection and automated behavioral labeling to correlate acoustic features with social behaviors.