University of Oulu

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,

Functional connectivity under six anesthesia protocols and the awake condition in rat brain

Saved in:
Author: Paasonen, Jaakko1; Stenroos, Petteri1; Salo, Raimo A.1;
Organizations: 1A.I.V. Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
2Department of Radiology, Oulu University Hospital, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 3.2 MB)
Persistent link:
Language: English
Published: Elsevier, 2018
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.

see all

Series: Neuroimage
ISSN: 1053-8119
ISSN-E: 1095-9572
ISSN-L: 1053-8119
Volume: 172
Pages: 9 - 20
DOI: 10.1016/j.neuroimage.2018.01.014
Type of Publication: A1 Journal article – refereed
Field of Science: 3126 Surgery, anesthesiology, intensive care, radiology
Funding: This work was supported by the Finnish Funding Agency for Technology and Innovation (Tekes, 70036/11) and the Academy of Finland (#298007).
Copyright information: © 2018 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (