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Resting state brain networks in the prairie vole
Juan J Ortiz1, Wendy Portillo1, Raul G Paredes1
1Instituto de Neurobiología, Universidad Nacional Autónoma de México. Boulevard Juriquilla 3001, Queretaro, 76230, Mexico.
Scientific Reports
|January 21, 2018
Summary
Resting state networks were identified in prairie voles using resting state functional magnetic resonance imaging (rsfMRI). This finding supports using prairie voles for neuroscience research on social behavior and neuropsychiatric disorders.
Area of Science:
- Neuroscience
- Comparative neuroimaging
- Animal models
Background:
- Resting state functional magnetic resonance imaging (rsfMRI) reveals large-scale brain networks.
- Similar resting state networks found across species make rsfMRI a valuable translational tool.
- The prairie vole is a unique model for studying social behavior and related disorders.
Purpose of the Study:
- To identify and characterize resting state networks in the prairie vole brain.
- To establish the prairie vole as a model for translational neuroscience research.
- To explore the neurobiological basis of social cognition.
Main Methods:
- Resting state functional magnetic resonance imaging (rsfMRI) was performed on isoflurane-anesthetized prairie voles.
- Independent component analysis (ICA) was used to analyze the rsfMRI data.
- Cortical and subcortical networks were identified.
Main Results:
- rsfMRI revealed distinct cortical and subcortical resting state networks in prairie voles.
- Identified networks include primary motor, sensory, salience, and default mode networks.
- These findings demonstrate conserved brain network organization across species.
Conclusions:
- Resting state networks are preserved in prairie voles, supporting their use in neuroscience.
- rsfMRI in prairie voles can advance research into social behavior, addiction, and neuropsychiatric disorders.
- This study provides a foundation for exploring the neurobiology of social cognition in this model.
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