Comprehensive Analysis of Long-Range Connectivity from and to the Posterior Parietal Cortex of the Mouse

Author:

Oh Seung Wook1,Son Sook Jin2,Morris John A1,Choi Joon Ho2,Lee Changkyu3,Rah Jong-Cheol24ORCID

Affiliation:

1. Grace Medical Institute, Lynnwood, WA 98037, USA

2. Laboratory of Neurophysiology, Korea Brain Research Institute, Daegu 41062, Korea

3. Allen Institute for Brain Science, Seattle, WA 98109, USA

4. Department of Brain and Cognitive Sciences, DGIST, Daegu 42988, Korea

Abstract

Abstract The posterior parietal cortex (PPC) is a major multimodal association cortex implicated in a variety of higher order cognitive functions, such as visuospatial perception, spatial attention, categorization, and decision-making. The PPC is known to receive inputs from a collection of sensory cortices as well as various subcortical areas and integrate those inputs to facilitate the execution of functions that require diverse information. Although many recent works have been performed with the mouse as a model system, a comprehensive understanding of long-range connectivity of the mouse PPC is scarce, preventing integrative interpretation of the rapidly accumulating functional data. In this study, we conducted a detailed neuroanatomic and bioinformatic analysis of the Allen Mouse Brain Connectivity Atlas data to summarize afferent and efferent connections to/from the PPC. Then, we analyzed variability between subregions of the PPC, functional/anatomical modalities, and species, and summarized the organizational principle of the mouse PPC. Finally, we confirmed key results by using additional neurotracers. A comprehensive survey of the connectivity will provide an important future reference to comprehend the function of the PPC and allow effective paths forward to various studies using mice as a model system.

Funder

Ministry of Science and ICT

National Research Foundation of Korea

Korea Brain Research Institute

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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