TY - JOUR T1 - Early Detection of Apathetic Phenotypes in Huntington’s Disease Knock-in Mice Using Open Source Tools JF - bioRxiv DO - 10.1101/208520 SP - 208520 AU - Shawn Minnig AU - Robert M. Bragg AU - Hardeep S. Tiwana AU - Wes T. Solem AU - William S. Hovander AU - Eva-Mari S. Vik AU - Madeline Hamilton AU - Samuel R. W. Legg AU - Dominic D. Shuttleworth AU - Sydney R. Coffey AU - Jeffrey P. Cantle AU - Jeffrey B. Carroll Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/10/25/208520.abstract N2 - Apathy is one of the most prevalent and progressive psychiatric symptom in Huntington’s disease (HD) patients. However, preclinical work in HD mouse models tend to focus on molecular and motor, rather than affective, phenotypes. Measuring behavior in mice often produces noisy data and requires large cohorts to detect phenotypic rescue with appropriate power. The operant equipment necessary for measuring affective phenotypes is typically expensive, proprietary to commercial entities, and bulky which can render adequately sized mouse cohorts as cost-prohibitive. Thus, we describe here a home-built open-source alternative to commercial hardware that is reliable, scalable, and reproducible. Using off-the-shelf hardware, we adapted and built several of the rodent operant buckets (ROBucket) designed to test HttQ111/+ mice for attention deficits in fixed ratio (FR) and progressive ratio (PR) tasks. We find that, despite normal performance in reward attainment in the FR task, HttQ111/+ mice exhibit reduced PR performance at 9-11 months of age, suggesting motivational deficits. We replicated this in two independent cohorts, which demonstrates the reliability and utility of both the apathetic phenotype, and these ROBuckets, for preclinical HD studies. ER -