# Citation Suhas Vijayakumar, Jerome Sallet, Lennart Verhagen, Davide Folloni, Medendorp, W.P. (Pieter), Mars, R.B. (Rogier) (2019). Mapping multiple principles of parietal-frontal cortical organization using functional connectivity [Data set]. http://hdl.handle.net/11633/aabpqrpw. # Abstract Resting state functional connectivity has been promoted as a promising tool for creating cortical maps that show remarkable similarity to those established by invasive histological methods. While this tool has been largely used to identify and map cortical areas, its true potential in the context of studying connectional architecture and in conducting comparative neuroscience has remained unexplored. Here, we employ widely used resting state connectivity and data-driven clustering methods to extend this approach for the study of the organizational principles of the macaque parietal–frontal system. We show multiple, overlapping principles of organization, including a dissociation between dorsomedial and dorsolateral pathways and separate parietal–premotor and parietal–frontal pathways. These results demonstrate the suitability of this approach for understanding the complex organizational principles of the brain and for large-scale comparative neuroscience. # Background information You can find more information, including relevant publications pertaining to this dataset on the collection overview page at http://hdl.handle.net/11633/aabpqrpw. A complete list of files that are part of this dataset can be found in the file MANIFEST.txt, including a SHA256 hash for each file to allow verification of correct data transfer. # Restrictions on data access and reuse The access to and use of this dataset is only allowed under the conditions listed in the data use agreement, as detailed in the file LICENSE.txt. Neither the Donders Institute or Radboud University, nor the researchers that provide this dataset should be included as an author of publications or presentations if this authorship would be based solely on the use of this data. However, we ask you to acknowledge the use of the data and data derived from the data when publicly presenting any results or algorithms that benefitted from their use: 1) Papers, book chapters, books, posters, oral presentations, and all other presentations of results derived from the data should acknowledge the origin of the data as follows: "Data were provided (in part) by the Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen". 2) Authors of publications or presentations using the data should cite relevant publications describing the methods developed and used by the Donders Institute to acquire and process the data. The specific publications that are appropriate to cite in any given study will depend on what the data were used for and for what purposes. When applicable, a list of publications will be specified on the collection overview page.