An open-source capacitive touch sensing device for three chamber social behavior test

• Main Authors: Giovanni Barbera, Bo Liang, Yan Zhang, Casey Moffitt, Yun Li, Da-Ting Lin
• Format: Article
• Language: English
• Published: Elsevier 2020-01-01
• Series: MethodsX
• Subjects: Automatic touch detection; Rodent models of brain disorders; Social behavior; Closed-loop experiments
• Online Access: http://www.sciencedirect.com/science/article/pii/S2215016120302442

A common feature of many neuropsychiatric disorders is deficit in social behavior. In order to study mouse models for such disorders, several behavioral tests involving social interaction with other mice have been developed. While a precise annotation of rodent behavioral state is necessary for these types of experiments, manual annotation of rodent social behavior is time-consuming and subjective. Therefore, an automated system that can instantly and independently quantify the animal's social exploration is desirable.We developed a capacitive touch device for automated detection of direct social-exploration in a modified three-chamber social behavior test. In this device, capacitive sensors can readily detect nose-pokes and other direct physical touches from the rodent under investigation. In addition, a conductive barrier makes mouse behavioral output immediately available for real-time use, by sending data to a host computer via a custom Field-Programmable Gate Array (FPGA) platform.Our capacitive touch sensing device produced similar results to the manually annotated data, demonstrating the ability to instantly and independently analyze direct social-exploration of animals in a social behavior test.Compared to the manual annotation method, this capacitive touch sensing system can be used to instantaneously quantify direct social-exploration, saving significant amount of time of post-hoc video scoring. Furthermore, this low-cost method enhances the objectivity of data by reducing experimenter involvement in analysis.