Automated Computer Software Assessment of 5-Hydroxytryptamine 2A Receptor-Mediated Head Twitch Responses from Video Recordings of Mice

A simple, noninvasive method using computer analysis of video recordings accurately measures the head twitch response (HTR) in mice, a behavioral proxy for psychedelic drug effects in humans. Male mice injected with the 5-HT2 receptor agonist DOI showed dose-related increases in HTRs (0.03–3 mg/kg), which were blocked by the 5-HT2A antagonist M100907. Computer scoring closely matched visual scoring by trained observers, captured nearly all HTRs, and produced few false positives from behaviors like grooming. Optimizing lighting improved results. This method offers a reliable, surgery-free alternative for studying psychedelic-like activity.

Study at a glance

Abstract

Psychedelics are a class of drugs that produce unique subjective effects via agonist actions at the 5-hydroxytryptamine 2A receptor (5-HT2A). The 5-HT2A-mediated head twitch response (HTR) in rodents is used as a reliable proxy for psychedelic drug activity in humans, but existing methods for measuring HTRs require surgery or time-consuming visual scoring. In the present work, we validated a simple noninvasive method for quantitating HTRs using computer-based analysis of experimental video recordings. Male C57BL/6J mice received injections of the 5-HT2 receptor agonist (±)2,5-dimethoxy-4-iodoamphetamine (DOI; 0.03–3 mg/kg, s.c.) and were placed into cylindrical arenas. High frame rate videos were recorded via cameras mounted above the arenas. Antagonist experiments, which entailed pretreatment with the 5-HT2A antagonist M100907 (0.01 or 0.1 mg/kg s.c.) prior to DOI (1 mg/kg s.c.), were also recorded. The experimental videos were analyzed for HTRs using a newly developed feature of a commercial software package and compared to visual scoring carried out by trained observers. As expected, DOI produced dose-related increases in HTRs, which were blocked by M100907. Computer scoring was positively correlated with visual scoring, and no statistical difference between the two methods was found. The software captured nearly all visually observed HTRs, false positives induced by other behaviors (e.g., grooming) were rare and easily identified, and results were improved by optimizing lighting conditions. Our findings demonstrate the utility of combining high frame rate video recordings with commercial software analyses to measure HTRs, validating an additional reliable method to study psychedelic-like drug activity in mice.