Functional-based parcellation of the mouse prefrontal cortex for network perturbation analysis

This dataset supports the manuscript entitled "Functional-based parcellation of the mouse prefrontal cortex for network perturbation analysis". Resting-state functional magnetic resonance imaging (rsfMRI) from a cohort of 100 wildtype animals was used to derive the functional-connectivity (FC) based parcellation of the mouse PFC with voxel resolution using unsupervised clustering techniques from the field of Machine Learning. Please refer to this manuscript for the details. Dataset contains resting-state functional magnetic resonance imaging (rsfMRI) of 100 anaesthesized C57Bl6 mice, partially published as control conditions in https://doi.org/10.1038/s41380-021-01245-4 .