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

Title
Comprehensive Analysis of Long-Range Connectivity from and to the Posterior Parietal Cortex of the Mouse
Author(s)
Oh, Seung WookSon, Sook JinMorris, John A.Choi, Joon HoLee, ChangkyuRah, Jong-Cheol
Issued Date
2021-01
Citation
Cerebral Cortex, v.31, no.1, pp.356 - 378
Type
Article
Author Keywords
Allen brain connectivity atlaslong-range connectivityposterior parietal cortexvirtual retrograde map
Keywords
PRIMARY SOMATOSENSORY CORTEXLATERAL INTRAPARIETAL AREADECISION-RELATED ACTIVITYHEAD-DIRECTION CELLSCORTICAL CONNECTIONSSYNAPTIC PROPERTIESPROCESSING STREAMSCEREBRAL-CORTEXNEURAL-NETWORKVISUAL-CORTEX
ISSN
1047-3211
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. © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
URI
http://hdl.handle.net/20.500.11750/12823
DOI
10.1093/cercor/bhaa230
Publisher
Oxford University Press
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