Please use this identifier to cite or link to this item:
http://hdl.handle.net/10362/170058
Title: | High-Precision Optical Fiber-Based Lickometer |
Author: | Silva, Artur Carriço, Paulo Fernandes, Ana B. Saraiva, Tatiana Oliveira-Maia, AJ da Silva, Joaquim Alves |
Keywords: | consummatory behavior lick microstructure lickometer open source optical Neuroscience(all) |
Issue Date: | Jul-2024 |
Abstract: | Quantifying and analyzing licking behavior can offer valuable insights into fundamental neurobiological mechanisms controlling animal consummatory behaviors. Lickometers are typically based on electrical properties, a strategy that comes with limitations, including susceptibility to electrical interference and generation of electrical disturbances in electrophysiological measurements. While optical lickometers offer an alternative method to measure licks and quantify fluid intake in animals, they are prone to false readings and susceptibility to outside light sources. To overcome this problem, we propose a low-cost open-source lickometer that combines a restricted infrared beam defined by optical fibers, with a poke design that allows easy access to the tongue while limiting access of other body parts and external light sources. This device also includes features for detecting nose pokes and presenting visual cues during behavioral tasks. We provide validation experiments that demonstrate the optical lickometer’s reliability, high-sensitivity and precision, and its application in a behavioral task, showcasing the potential of this tool to study lick microstructure in combination with other techniques, such as imaging of neural activity, in freely moving mice. |
Description: | Publisher Copyright: © 2024 Silva et al. |
Peer review: | yes |
URI: | http://hdl.handle.net/10362/170058 |
DOI: | https://doi.org/10.1523/ENEURO.0189-24.2024 |
ISSN: | 2373-2822 |
Appears in Collections: | NMS - Artigos em revista internacional com arbitragem científica |
Files in This Item:
File | Description | Size | Format | |
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ENEURO.0189-24.2024.full.pdf | 1,18 MB | Adobe PDF | View/Open |
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