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

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 conne...

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Published inNeuroImage (Orlando, Fla.) Vol. 172; pp. 9 - 20
Main Authors Paasonen, Jaakko, Stenroos, Petteri, Salo, Raimo A., Kiviniemi, Vesa, Gröhn, Olli
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 15.05.2018
Elsevier Limited
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Summary: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. •Each anesthesia protocol uniquely modulated functional connectivity (FC).•FC obtained under propofol and urethane anesthesia was most similar to the awake rats.•FC in α-chloralose and isoflurane-medetomidine groups resembled well the awake group.•FC in the isoflurane and medetomidine groups differed most from the awake rats.•These results can be exploited in FC study designs and data interpretation.
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ISSN:1053-8119
1095-9572
DOI:10.1016/j.neuroimage.2018.01.014