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Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
Published on: August 28, 2021
Functional connectivity fMRI of the rodent brain: comparison of functional connectivity networks in rat and mouse
Elisabeth Jonckers1, Johan Van Audekerke, Geofrey De Visscher
1Bio-Imaging Lab, University of Antwerp, Antwerp, Belgium. elisabeth.jonckers@ua.ac.be
Abstract:
At present, resting state functional MRI (rsfMRI) is increasingly used in human neuropathological research. The present study aims at implementing rsfMRI in mice, a species that holds the widest variety of neurological disease models. Moreover, by acquiring rsfMRI data with a comparable protocol for anesthesia, scanning and analysis, in both rats and mice we were able to compare findings obtained in both species. The outcome of rsfMRI is different for rats and mice and depends strongly on the applied number of components in the Independent Component Analysis (ICA). The most important difference was the appearance of unilateral cortical components for the mouse resting state data compared to bilateral rat cortical networks. Furthermore, a higher number of components was needed for the ICA analysis to separate different cortical regions in mice as compared to rats.
Insights
Resting state functional MRI (rsfMRI) implementation in mice reveals species-specific brain network differences compared to rats. Mouse rsfMRI data showed unique unilateral cortical components, requiring more analytical components for accurate regional separation.
Area of Science:
- Neuroscience
- Medical Imaging
- Comparative Neurology
Background:
- Resting state functional MRI (rsfMRI) is a valuable tool in human neuropathological research.
- Mice are crucial models for neurological diseases, necessitating robust rsfMRI protocols.
- Comparative studies between mice and rats can enhance understanding of species-specific brain function.
Purpose of the Study:
- To implement and validate resting state functional MRI (rsfMRI) in mice using a standardized protocol.
- To compare rsfMRI findings between mice and rats under comparable experimental conditions.
- To identify species-specific differences in resting-state brain networks.
Main Methods:
- Acquisition of rsfMRI data in both mice and rats.
- Application of a consistent protocol for anesthesia, scanning, and data analysis.
- Utilizing Independent Component Analysis (ICA) to identify functional brain networks.
Main Results:
- rsfMRI outcomes differed significantly between mice and rats.
- Mouse rsfMRI data exhibited unique unilateral cortical components, unlike the bilateral networks in rats.
- A higher number of components in ICA was required to delineate cortical regions in mice compared to rats.
Conclusions:
- rsfMRI is feasible in mice and reveals distinct functional brain organization compared to rats.
- Species-specific differences in cortical network topology exist between mice and rats.
- The number of ICA components is a critical parameter influencing the interpretation of rsfMRI data in different species.
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