2018
DOI: 10.1038/s41598-018-28766-3
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Increasing isoflurane dose reduces homotopic correlation and functional segregation of brain networks in mice as revealed by resting-state fMRI

Abstract: Effects of anesthetics on brain functional networks are not fully understood. In this work, we investigated functional brain networks derived from resting-state fMRI data obtained under different doses of isoflurane in mice using stationary and dynamic functional connectivity (dFC) analysis. Stationary network analysis using FSL Nets revealed a modular structure of functional networks, which could be segregated into a lateral cortical, an associative cortical network, elements of the prefrontal network, a subc… Show more

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Cited by 32 publications
(29 citation statements)
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“…4A). Three weeks after implantation, mice were lightly anesthetized with 1% isoflurane using a protocol previously shown to allow measurable BOLD responses (Bukhari et al, 2018). Subsequently, mice were tethered to fiber optic cables connected to a 473 nm laser light source and placed in a 4.7T scanner.…”
Section: In Vivo Optogenetic Activation Of Oxtr-expressing Neurons Inmentioning
confidence: 99%
“…4A). Three weeks after implantation, mice were lightly anesthetized with 1% isoflurane using a protocol previously shown to allow measurable BOLD responses (Bukhari et al, 2018). Subsequently, mice were tethered to fiber optic cables connected to a 473 nm laser light source and placed in a 4.7T scanner.…”
Section: In Vivo Optogenetic Activation Of Oxtr-expressing Neurons Inmentioning
confidence: 99%
“…Blood oxygen level dependent functional MRI (BOLD‐fMRI) studies also appear to be impaired by isoflurane in a dose‐dependent manner, as stimulus‐evoked BOLD responses and resting state network organization have been shown to be reduced when higher levels of isoflurane were used . In order to benefit from its otherwise favorable characteristics, refinements have been proposed to minimize the needed dose of isoflurane.…”
Section: Introductionmentioning
confidence: 99%
“…In animal fMRI in particular, subject preparation, and more specifically cerebrovascular parameters (Schroeter et al, 2016) and anesthesia (Schlegel et al, 2015;Bukhari et al, 2018) are widely known drivers of result variability. In order to integrate data which may be thus strongly confounded-as well as in order to clarify the confounds themselves (Grandjean et al, 2019)-it is vital that data is shared in a raw state, i.e., having undergone no or as little processing as possible.…”
Section: Introductionmentioning
confidence: 99%