RT Journal Article
T1 TherMouseDuino: an affordable Open-Source temperature control system for functional magnetic resonance imaging experimentation with mice
A1 Quiñones, Darío R.
A1 Fernández-Mollá, Luis Miguel
A1 Pacheco-Torres, Jesús
A1 Caramés-Tejedor, José María
A1 Canals-Gamoneda, Santiago
A1 Moratal, David
K1 Imágenes por resonancia magnética
K1 Anestésicos
K1 Ratones de laboratorio
AB 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 micro- controller, 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.
PB Elsevier
YR 2019
FD 2019
LK https://hdl.handle.net/10630/33451
UL https://hdl.handle.net/10630/33451
LA eng
NO This work was supported in part by the Spanish Ministerio de Economía y Competitividad (MINECO) and FEDER funds under grants BFU2015-64380-C2-2-R (D.M.) and BFU2015-64380-C2-1-R and EU Horizon 2020 Program 668863-SyBil-AA grant (S.C.). S.C. acknowl- edges financial support from the Spanish State Research Agency, through the “Severo Ochoa” Programme for Centres of Excellence in R& D (ref. SEV-2013-0317). D.R.Q. was supported by grant “Ayudas para la formación de personal investigador (FPI)” from the Vicerrectorado de Investigación, Innovación y Transferencia of the Universitat Politècnica de València.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026