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Functional-based parcellation of the mouse prefrontal cortex for network perturbation analysis.
Iurii Savvateev1, Christina Grimm2, Marija Markicevic3
1Neural Control of Movement Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland; Decision Neuroscience Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Cell Reports
|April 27, 2025
Summary
This study maps the mouse prefrontal cortex (PFC) using functional connectivity MRI, revealing novel subdivisions. Chemogenetic perturbation showed targeted network effects, supporting FC-based parcellation for neurostimulation research.
Area of Science:
- Neuroscience
- Brain Imaging
Background:
- The prefrontal cortex (PFC) governs complex cognition, but its mouse subdivisions and network roles are debated.
- Understanding PFC organization is crucial for cognitive neuroscience research.
Purpose of the Study:
- To create a high-resolution functional connectivity (FC)-based parcellation of the mouse PFC.
- To investigate the network impact of targeted perturbations within identified PFC clusters.
Main Methods:
- Resting-state functional magnetic resonance imaging (fMRI) was used on 100 C57BL/6J mice.
- Voxel-wise FC analysis was performed to delineate PFC subdivisions.
- Chemogenetic manipulation was employed to perturb a specific functional cluster.
Main Results:
- FC-based parcellation identified novel clusters, differing from anatomical boundaries in some areas.
- Functional clusters aligned with anatomical divisions in other regions like infralimbic and orbital cortices.
- Chemogenetic perturbation resulted in localized FC changes within the targeted network, without affecting adjacent areas.
Conclusions:
- FC-based parcellation offers a precise method for mapping mouse PFC organization.
- This approach is valuable for understanding targeted neurostimulation effects and brain network dynamics.
- The findings provide a refined framework for studying PFC function in mice.
