Receptor-driven, multimodal mapping of cortical areas in the macaque monkey intraparietal sulcus
Abstract
The intraparietal sulcus (IPS) is structurally and functionally heterogeneous. We performed a quantitative cyto- and receptor architectonical analysis to provide a multimodal map of the macaque IPS. We identified 17 cortical areas, including novel areas PEipe, PEipi (external and internal subdivisions of PEip), and MIPd. Multivariate analyses of receptor densities resulted in a grouping of areas based on the degree of (dis)similarity of their receptor architecture: a cluster encompassing areas located in the posterior portion of the IPS and associated mainly with the processing of visual information, a cluster including areas found in the anterior portion of the IPS and involved in sensorimotor processing, and an 'intermediate' cluster of multimodal association areas. Thus, differences in cyto- and receptor architecture segregate the cortical ribbon within the IPS, and receptor fingerprints provide novel insights into the relationship between the structural and functional segregation of this brain region in the macaque monkey.
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All data generated or analysed during this study are included in the manuscript and supporting files.
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Author details
Funding
European Commission (785907)
- Nicola Palomero-Gallagher
- Karl Zilles
Bundesministerium für Bildung und Forschung (01GQ1902)
- Nicola Palomero-Gallagher
European Commission (945539)
- Nicola Palomero-Gallagher
- Karl Zilles
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Animal experimentation: The present study did not include experimental procedures with live animals. Brains were obtained when animals were sacrificed to reduce the size of the colony, where they were maintained in accordance with the guidelines of the Directive 2010/63/eu of the European Parliament and of the Council on the protection of animals used for scientific purposes.
Copyright
© 2020, Niu et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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