Jaakko Paasonen, Petteri Stenroos, Raimo A. Salo, Vesa Kiviniemi, Olli Gröhn, Functional connectivity under six anesthesia protocols and the awake condition in rat brain, NeuroImage, Volume 172, 2018, Pages 9-20, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2018.01.014
Functional connectivity under six anesthesia protocols and the awake condition in rat brain
|Author:||Paasonen, Jaakko1; Stenroos, Petteri1; Salo, Raimo A.1;|
1A.I.V. Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
2Department of Radiology, Oulu University Hospital, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 3.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019070322747
|Publish Date:|| 2019-07-03
Resting-state functional magnetic resonance imaging (rsfMRI) is a translational imaging method with great potential in several neurobiologic applications. Most preclinical rsfMRI studies are performed in anesthetized animals, but the confounding effects of anesthesia on the measured functional connectivity (FC) are poorly understood. Therefore, we measured FC under six commonly used anesthesia protocols and compared the findings with data obtained from awake rats. The results demonstrated that each anesthesia protocol uniquely modulated FC. Connectivity patterns obtained under propofol and urethane anesthesia were most similar to that observed in awake rats. FC patterns in the α-chloralose and isoflurane-medetomidine combination groups had moderate to good correspondence with that in the awake group. The FC patterns in the isoflurane and medetomidine groups differed most from that in the awake rats. These results can be directly exploited in rsfMRI study designs to improve the data quality, comparability, and interpretation.
|Pages:||9 - 20|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
3126 Surgery, anesthesiology, intensive care, radiology
This work was supported by the Finnish Funding Agency for Technology and Innovation (Tekes, 70036/11) and the Academy of Finland (#298007).
© 2018 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).