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Neuroscience Bulletin
Published in: Neuroscience Bulletin 12/2020

Open Access 01-12-2020 | Original Article

Fine-Grained Topography and Modularity of the Macaque Frontal Pole Cortex Revealed by Anatomical Connectivity Profiles

Authors: Bin He, Long Cao, Xiaoluan Xia, Baogui Zhang, Dan Zhang, Bo You, Lingzhong Fan, Tianzi Jiang

Published in: Neuroscience Bulletin | Issue 12/2020

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Abstract

The frontal pole cortex (FPC) plays key roles in various higher-order functions and is highly developed in non-human primates. An essential missing piece of information is the detailed anatomical connections for finer parcellation of the macaque FPC than provided by the previous tracer results. This is important for understanding the functional architecture of the cerebral cortex. Here, combining cross-validation and principal component analysis, we formed a tractography-based parcellation scheme that applied a machine learning algorithm to divide the macaque FPC (2 males and 6 females) into eight subareas using high-resolution diffusion magnetic resonance imaging with the 9.4T Bruker system, and then revealed their subregional connections. Furthermore, we applied improved hierarchical clustering to the obtained parcels to probe the modular structure of the subregions, and found that the dorsolateral FPC, which contains an extension to the medial FPC, was mainly connected to regions of the default-mode network. The ventral FPC was mainly involved in the social-interaction network and the dorsal FPC in the metacognitive network. These results enhance our understanding of the anatomy and circuitry of the macaque brain, and contribute to FPC-related clinical research.
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Metadata
Title
Fine-Grained Topography and Modularity of the Macaque Frontal Pole Cortex Revealed by Anatomical Connectivity Profiles
Authors
Bin He
Long Cao
Xiaoluan Xia
Baogui Zhang
Dan Zhang
Bo You
Lingzhong Fan
Tianzi Jiang
Publication date
01-12-2020
Publisher
Springer Singapore
Published in
Neuroscience Bulletin / Issue 12/2020
Print ISSN: 1673-7067
Electronic ISSN: 1995-8218
DOI
https://doi.org/10.1007/s12264-020-00589-1

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