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bioRxiv · 10.1101/2022.02.17.480862

Molecular characteristics and laminar distribution of prefrontal neurons projecting to the mesolimbic system

Babiczky, A.·Matyas, F.
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Abstract

Prefrontal cortical influence over the mesolimbic system - including the nucleus accumbens (NAc) and the ventral tegmental area (VTA) - is implicated in various cognitive processes and behavioral malfunctions. The functional versatility of this system could be explained by an underlying anatomical complexity; however, the detailed characterization of the medial prefrontal cortical (mPFC) innervation of the NAc and VTA is still lacking. Therefore, combining classical retrograde and conditional viral tracing techniques with multiple fluorescent immunohistochemistry, we sought to deliver a precise, cell- and layer-specific anatomical description of the cortico-mesolimbic pathways. We demonstrated that NAc- (mPFCNAc) and VTA-projecting mPFC (mPFCVTA) populations show different laminar distribution (layers 2/3-5a and 5b-6, respectively) and express different molecular markers. Specifically, calbindin and Ntsr1 are specific to mPFCNAc neurons, while mPFCVTA neurons express high levels of Ctip2 and FoxP2, indicating that these populations are mostly separated at the cellular level. We directly tested this with double retrograde tracing and Canine adenovirus type 2-mediated viral labelling and found that there is indeed minimal overlap between the two populations. Furthermore, whole-brain analysis revealed that the projection patter of these populations is also different throughout the brain. Taken together, we demonstrated that the NAc and the VTA are innervated by two, mostly non-overlapping mPFC populations with different laminar distribution and molecular profile. These results can contribute to the advancement in our understanding of mesocorticolimbic functions and its disorders in future studies.

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Babiczky, A., Matyas, F.. 2022-02-18. Molecular characteristics and laminar distribution of prefrontal neurons projecting to the mesolimbic system. https://doi.org/10.1101/2022.02.17.480862

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