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. 2020 Sep 30;10:16096. doi: 10.1038/s41598-020-72317-8

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Coactivation-based clustering, meta-analytic coactivation contrasts and functional preference profiles of the PCC. (A) We identified three clusters within the PCC on the basis of silhouette scoring: a dorsal cluster (blue), a medial cluster (yellow) and a ventral cluster (red). (B) Coactivation contrasts of the PCC. The medial cluster showed stronger coactivation with the bilateral-TPJ and MPFC whereas the ventral cluster more strongly coactivated with the hippocampus. (C) Functional preference profiles of PCC. All clusters in the PCC were predicted by memory, awareness, and decision making, while only the medial region was associated with social and emotion topics. (D) PCC and health conditions. All PCC clusters were associated with Alzheimer’s/Parkinson’s disease. The dorsal cluster was associated with smoking whereas the ventral cluster was associated with PTSD. Figure was created using Python and Adobe Illustrator.