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Different anesthesia regimes modulate the functional connectivity outcome in mice.

Elisabeth Jonckers1, Rafael Delgado y Palacios, Disha Shah

  • 1Bio-Imaging Lab, Antwerp, Belgium.

Magnetic Resonance in Medicine
|November 29, 2013
PubMed
Summary

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Anesthesia significantly reduces interhemispheric functional connectivity (FC) in mice during resting-state functional MRI (rsfMRI) scans. Researchers recommend considering anesthetic impact for accurate preclinical rsfMRI findings.

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Preclinical Research

Background:

  • Resting-state functional MRI (rsfMRI) is increasingly used in preclinical research.
  • Most rsfMRI studies are conducted on anesthetized animals.
  • Anesthesia can alter physiological and neuronal activity, potentially affecting rsfMRI results.

Purpose of the Study:

  • To compare rsfMRI data from awake mice with data from mice anesthetized with α-chloralose, urethane, or isoflurane.
  • To investigate the impact of different anesthetics on functional connectivity (FC) in mice.

Main Methods:

  • rsfMRI data acquired from awake mice and mice under three different anesthetic regimens.
  • Functional connectivity (FC) analyzed using independent component analysis and ROI-based analysis.
Keywords:
consciousfunctional connectivityisoflurane, mouseurethaneα-chloralose

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  • Focus on inter-hemispheric FC to assess anesthetic effects.
  • Main Results:

    • Cortical interhemispheric FC was significantly diminished in mice anesthetized with α-chloralose and urethane.
    • The isoflurane and awake groups showed higher interhemispheric FC compared to α-chloralose and urethane groups.
    • Anesthesia dose impacts FC, with stable anesthesia doses reducing interhemispheric FC.

    Conclusions:

    • The choice of anesthetic agent and its dosage significantly influences rsfMRI findings in mice.
    • Anesthetics, particularly at doses required for stable anesthesia, markedly decrease interhemispheric FC.
    • Researchers must account for anesthetic effects when interpreting preclinical rsfMRI data.