Literature DB >> 25601828

Cortical connectivity maps reveal anatomically distinct areas in the parietal cortex of the rat.

Aaron A Wilber1, Benjamin J Clark2, Alexis J Demecha3, Lilia Mesina3, Jessica M Vos3, Bruce L McNaughton1.   

Abstract

A central feature of theories of spatial navigation involves the representation of spatial relationships between objects in complex environments. The parietal cortex has long been linked to the processing of spatial visual information and recent evidence from single unit recording in rodents suggests a role for this region in encoding egocentric and world-centered frames. The rat parietal cortex can be subdivided into four distinct rostral-caudal and medial-lateral regions, which includes a zone previously characterized as secondary visual cortex. At present, very little is known regarding the relative connectivity of these parietal subdivisions. Thus, we set out to map the connectivity of the entire anterior-posterior and medial-lateral span of this region. To do this we used anterograde and retrograde tracers in conjunction with open source neuronal segmentation and tracer detection tools to generate whole brain connectivity maps of parietal inputs and outputs. Our present results show that inputs to the parietal cortex varied significantly along the medial-lateral, but not the rostral-caudal axis. Specifically, retrosplenial connectivity is greater medially, but connectivity with visual cortex, though generally sparse, is more significant laterally. Finally, based on connection density, the connectivity between parietal cortex and hippocampus is indirect and likely achieved largely via dysgranular retrosplenial cortex. Thus, similar to primates, the parietal cortex of rats exhibits a difference in connectivity along the medial-lateral axis, which may represent functionally distinct areas.

Entities:  

Keywords:  automated tracing; connectivity analysis; connectome; cortical flat maps; posterior parietal cortex; retrosplenial cortex; segmentation; thalamus

Mesh:

Year:  2015        PMID: 25601828      PMCID: PMC4283643          DOI: 10.3389/fncir.2014.00146

Source DB:  PubMed          Journal:  Front Neural Circuits        ISSN: 1662-5110            Impact factor:   3.492


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