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


Journal

Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883

Informations de publication

Date de publication:
05 2019
Historique:
received: 14 08 2018
revised: 12 12 2018
accepted: 11 01 2019
pubmed: 21 1 2019
medline: 23 7 2019
entrez: 21 1 2019
Statut: ppublish

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 30660705
pii: S0730-725X(18)30388-6
doi: 10.1016/j.mri.2019.01.009
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

67-75

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Darío R Quiñones (DR)

Centre for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain.

Luis Miguel Fernández-Mollá (LM)

Centre for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain.

Jesús Pacheco-Torres (J)

Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, Santiago Ramón y Cajal s/n, 03550 Sant Joan d'Alacant, Alicante, Spain.

José M Caramés (JM)

Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, Santiago Ramón y Cajal s/n, 03550 Sant Joan d'Alacant, Alicante, Spain.

Santiago Canals (S)

Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, Santiago Ramón y Cajal s/n, 03550 Sant Joan d'Alacant, Alicante, Spain.

David Moratal (D)

Centre for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain. Electronic address: dmoratal@eln.upv.es.

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Classifications MeSH