English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/218004
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:

Title

TherMouseDuino: An affordable Open-Source temperature control system for functional magnetic resonance imaging experimentation with mice

AuthorsQuiñones Colomer, Darío Rubén; Fernández-Mollá, Luis Miguel; Pacheco-Torres, Jesús; Caramés, José M.; Canals Gamoneda, Santiago; Moratal, David
KeywordsAnesthetic
Arduino
BOLD
PID
Issue Date2019
PublisherElsevier
CitationMagnetic Resonance Imaging 58: 67-75 (2019)
Abstract[Introduction]: Functional magnetic resonance imaging (fMRI) is one of the most highly regarded techniques in the neuroimaging field. This technique is based on vascular responses to neuronal activation and is extensively used in clinical and animal research studies. In preclinical settings, fMRI is usually applied to anesthetized animals. However, anesthetics cause alterations, e.g. hypothermia, in the physiology of the animals and this has the potential to disrupt fMRI signals. The current temperature control method involves a technician, as well as monitoring the acquisition MRI sequences, also controlling the temperature of the animal; this is inefficient.
[Methods]: In order to avoid hypothermia in anesthetized rodents an Open-Source automatic temperature control device is presented. It takes signals from an intrarectal temperature sensor, as well as signals from a thermal bath, which warms up the body of the animal under study, in order to determine the mathematical model of the thermal response of the animal.
[Results]: A Proportional-Integral-Derivative (PID) algorithm, which was discretized in an Arduino microcontroller, was developed to automatically keep stable the body temperature of the animal under study. The PID algorithm has been shown to be accurate in preserving the body temperature of the animal.
[Conclusion]: This work presents the TherMouseDuino. It is an Open-Source automatic temperature control system and reduces temperature fluctuations, thus providing robust conditions in which to perform fMRI experiments. Furthermore, our device frees up the technician to focus solely on monitoring the MRI sequences.
Publisher version (URL)https://doi.org/10.1016/j.mri.2019.01.009
URIhttp://hdl.handle.net/10261/218004
DOIhttp://dx.doi.org/10.1016/j.mri.2019.01.009
ISSN0730-725X
Appears in Collections:(IN) Artículos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf59,24 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.