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Abstract #2028

Network Modeling of mouse brain fMRI under the effect of different anesthetics

Qasim Bukhari 1 , Aileen Schrter 1 , and Markus Rudin 1,2

1 Institute of Biomedical Engineering, ETH and University of Zrich, Zrich, Switzerland, 2 Institute of Pharmacology and Taxicology, University of Zrich, Zrich, Switzerland

In this work we have applied dual regression and network modeling using FSL Nets to the fMRI mouse data. The goal of the study was to understand network connectivity differences under the effect of different anesthesia regimens (isoflurane, propofol, urethane and medetomidine). The analysis revealed higher degree of similarity in functional networks between propofol and urethane, while isoflurane also showed similar network patterns. However medetomidine produced very different functional brain networks than other anesthesia regimens. Our study confirmed that despite the inferior signal-to-noise ratio intrinsic in mouse fMRI, it is possible to deduce significant network connectivity differences.

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