ArticleeNeuro2025
The Odor Delivery Optimization Research System (ODORS): An Open-Source Olfactometer for Behavioral Assessments in Tethered and Untethered Rodents.
Article in eNeuro, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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3 authors.
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Abstract
Olfaction is the dominant sensory modality in rodents. It can be used to assess behavioral phenomena including stress, learning and memory, and social investigation, and impaired olfaction is implicated in several neurological disorders. Paradigms such as the olfactory habituation/dishabituation (OHD) task can assess olfactory perception, memory, and motivation. However, these tasks require manual stimulus presentation, introducing variability and making them labor-intensive. Olfactometers allow automated stimulus delivery, but the OHD task has not yet been adapted for use with an olfactometer. Additionally, current olfactometer designs require proprietary software or components that are difficult to obtain/fabricate and commercial units are expensive. As a result, these apparatuses have not been widely implemented. Here, we describe the design and assembly of the Odor Delivery Optimization Research System (ODORS), an economical, modular, and open-source olfactometer for use in rodents, and describe a variant of the OHD task that can be automated using this apparatus. The design is based on five principles: (1) familiar layout and function; (2) use of inexpensive, readily available components; (3) easily integrated, modular design; (4) real-time assessment of odorant levels; and (5) the ability to test tethered and untethered rodents in optogenetic and electrophysiological experiments. Male and female C57BL/6NCrl mice performing OHD in the ODORS exhibit the characteristic habituation to repeated presentations of an odor and dishabituation to the first presentation of a novel odor. As a result, we suggest that the ODORS makes improved olfactory testing accessible to many labs and offers a major refinement over existing OHD testing paradigms.
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