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Multimodal 3D atlas of the macaque monkey motor and premotor cortex

In the present study we reevaluated the parcellation scheme of the macaque frontal agranular cortex by implementing quantitative cytoarchitectonic and multireceptor analyses, with the purpose to integrate and reconcile the discrepancies between previously published maps of this region. We applied an...

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Autores principales: Rapan, Lucija, Froudist-Walsh, Sean, Niu, Meiqi, Xu, Ting, Funck, Thomas, Zilles, Karl, Palomero-Gallagher, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168280/
https://www.ncbi.nlm.nih.gov/pubmed/33221453
http://dx.doi.org/10.1016/j.neuroimage.2020.117574
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author Rapan, Lucija
Froudist-Walsh, Sean
Niu, Meiqi
Xu, Ting
Funck, Thomas
Zilles, Karl
Palomero-Gallagher, Nicola
author_facet Rapan, Lucija
Froudist-Walsh, Sean
Niu, Meiqi
Xu, Ting
Funck, Thomas
Zilles, Karl
Palomero-Gallagher, Nicola
author_sort Rapan, Lucija
collection PubMed
description In the present study we reevaluated the parcellation scheme of the macaque frontal agranular cortex by implementing quantitative cytoarchitectonic and multireceptor analyses, with the purpose to integrate and reconcile the discrepancies between previously published maps of this region. We applied an observer-independent and statistically testable approach to determine the position of cytoarchitectonic borders. Analysis of the regional and laminar distribution patterns of 13 different transmitter receptors confirmed the position of cytoarchitectonically identified borders. Receptor densities were extracted from each area and visualized as its “receptor fingerprint”. Hierarchical and principal components analyses were conducted to detect clusters of areas according to the degree of (dis)similarity of their fingerprints. Finally, functional connectivity pattern of each identified area was analyzed with areas of prefrontal, cingulate, somatosensory and lateral parietal cortex and the results were depicted as “connectivity fingerprints” and seed-to-vertex connectivity maps. We identified 16 cyto- and receptor architectonically distinct areas, including novel subdivisions of the primary motor area 4 (i.e. 4a, 4p, 4m) and of premotor areas F4 (i.e. F4s, F4d, F4v), F5 (i.e. F5s, F5d, F5v) and F7 (i.e. F7d, F7i, F7s). Multivariate analyses of receptor fingerprints revealed three clusters, which first segregated the subdivisions of area 4 with F4d and F4s from the remaining premotor areas, then separated ventrolateral from dorsolateral and medial premotor areas. The functional connectivity analysis revealed that medial and dorsolateral premotor and motor areas show stronger functional connectivity with areas involved in visual processing, whereas 4p and ventrolateral premotor areas presented a stronger functional connectivity with areas involved in somatomotor responses. For the first time, we provide a 3D atlas integrating cyto- and multi-receptor architectonic features of the macaque motor and premotor cortex. This atlas constitutes a valuable resource for the analysis of functional experiments carried out with non-human primates, for modeling approaches with realistic synaptic dynamics, as well as to provide insights into how brain functions have developed by changes in the underlying microstructure and encoding strategies during evolution.
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spelling pubmed-81682802021-06-25 Multimodal 3D atlas of the macaque monkey motor and premotor cortex Rapan, Lucija Froudist-Walsh, Sean Niu, Meiqi Xu, Ting Funck, Thomas Zilles, Karl Palomero-Gallagher, Nicola Neuroimage Article In the present study we reevaluated the parcellation scheme of the macaque frontal agranular cortex by implementing quantitative cytoarchitectonic and multireceptor analyses, with the purpose to integrate and reconcile the discrepancies between previously published maps of this region. We applied an observer-independent and statistically testable approach to determine the position of cytoarchitectonic borders. Analysis of the regional and laminar distribution patterns of 13 different transmitter receptors confirmed the position of cytoarchitectonically identified borders. Receptor densities were extracted from each area and visualized as its “receptor fingerprint”. Hierarchical and principal components analyses were conducted to detect clusters of areas according to the degree of (dis)similarity of their fingerprints. Finally, functional connectivity pattern of each identified area was analyzed with areas of prefrontal, cingulate, somatosensory and lateral parietal cortex and the results were depicted as “connectivity fingerprints” and seed-to-vertex connectivity maps. We identified 16 cyto- and receptor architectonically distinct areas, including novel subdivisions of the primary motor area 4 (i.e. 4a, 4p, 4m) and of premotor areas F4 (i.e. F4s, F4d, F4v), F5 (i.e. F5s, F5d, F5v) and F7 (i.e. F7d, F7i, F7s). Multivariate analyses of receptor fingerprints revealed three clusters, which first segregated the subdivisions of area 4 with F4d and F4s from the remaining premotor areas, then separated ventrolateral from dorsolateral and medial premotor areas. The functional connectivity analysis revealed that medial and dorsolateral premotor and motor areas show stronger functional connectivity with areas involved in visual processing, whereas 4p and ventrolateral premotor areas presented a stronger functional connectivity with areas involved in somatomotor responses. For the first time, we provide a 3D atlas integrating cyto- and multi-receptor architectonic features of the macaque motor and premotor cortex. This atlas constitutes a valuable resource for the analysis of functional experiments carried out with non-human primates, for modeling approaches with realistic synaptic dynamics, as well as to provide insights into how brain functions have developed by changes in the underlying microstructure and encoding strategies during evolution. Academic Press 2021-02-01 /pmc/articles/PMC8168280/ /pubmed/33221453 http://dx.doi.org/10.1016/j.neuroimage.2020.117574 Text en © 2020 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Rapan, Lucija
Froudist-Walsh, Sean
Niu, Meiqi
Xu, Ting
Funck, Thomas
Zilles, Karl
Palomero-Gallagher, Nicola
Multimodal 3D atlas of the macaque monkey motor and premotor cortex
title Multimodal 3D atlas of the macaque monkey motor and premotor cortex
title_full Multimodal 3D atlas of the macaque monkey motor and premotor cortex
title_fullStr Multimodal 3D atlas of the macaque monkey motor and premotor cortex
title_full_unstemmed Multimodal 3D atlas of the macaque monkey motor and premotor cortex
title_short Multimodal 3D atlas of the macaque monkey motor and premotor cortex
title_sort multimodal 3d atlas of the macaque monkey motor and premotor cortex
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168280/
https://www.ncbi.nlm.nih.gov/pubmed/33221453
http://dx.doi.org/10.1016/j.neuroimage.2020.117574
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