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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