Multimodal 3D atlas of the macaque monkey motor and premotor cortex.
Multimodal 3D atlas of the macaque monkey motor and premotor cortex.
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猕猴运动和前运动皮层的多模态3D图谱。
DOI：
10.1016/j.neuroimage.2020.117574
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发表时间：
2021-02-01
期刊：
影响因子：
5.7
通讯作者：
Palomero-Gallagher N
中科院分区：
文献类型：
--
作者：
Rapan L;Froudist-Walsh S;Niu M;Xu T;Funck T;Zilles K;Palomero-Gallagher N
猕猴运动和前运动皮层的多模态分析揭示了新的分区 3D 图集，具有 16 个（前）运动区域的细胞和多受体结构特征。初级运动区域 4 是细胞和受体结构异质的（前）运动区域，其功能连接指纹有所不同。在本研究中，我们通过实施定量细胞结构和多受体分析，重新评估了猕猴额叶无颗粒皮质的分区方案，目的是整合并协调该地区先前发布的地图之间的差异。我们采用独立于观察者且可统计测试的方法来确定细胞结构边界的位置。对 13 种不同递质受体的区域和层状分布模式的分析证实了细胞结构上识别的边界的位置。从每个区域提取受体密度并可视化为其“受体指纹”。进行层次分析和主成分分析，根据指纹的相似（不）相似程度来检测区域的聚类。最后，对前额叶、扣带皮层、体感和外侧顶叶皮层区域的每个识别区域的功能连接模式进行了分析，并将结果描述为“连接指纹”和种子到顶点的连接图。我们鉴定了 16 个细胞和受体结构上不同的区域，包括初级运动区 4（即 4a、4p、4m）和前运动区 F4（即 F4s、F4d、F4v）、F5（即 F5s、F5d、F5v）和 F7（即 F7d、F7i、F7s）的新细分。受体指纹的多变量分析揭示了三个簇，首先将具有 F4d 和 F4s 的区域 4 的细分与剩余的运动前区域分开，然后将腹外侧与背外侧和内侧运动前区域分开。功能连接分析显示，内侧和背外侧运动前区和运动区与涉及视觉处理的区域表现出更强的功能连接，而4p和腹外侧运动前区与涉及躯体运动反应的区域表现出更强的功能连接。我们首次提供了整合猕猴运动和前运动皮层的细胞和多受体结构特征的 3D 图谱。该图谱为分析非人类灵长类动物的功能实验、利用真实的突触动力学建模方法以及提供关于大脑功能如何通过进化过程中潜在微观结构和编码策略的变化而发展的见解提供了宝贵的资源。
Multimodal analysis of macaque motor and premotor cortex reveals novel parcellation 3D atlas with cyto- and multireceptor architectonic features of 16 (pre)motor areas Primary motor area 4 is cyto- and receptor architectonically heterogeneous (Pre)motor areas differ in their functional connectivity fingerprints 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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影响因子：
2.5
作者：
Belmalih, Abdelouahed;Borra, Elena;Luppino, Giuseppe
通讯作者：
Luppino, Giuseppe
猴子认知运动控制的顶额网络的计算架构。
影响因子：
3.4
作者：
Caminiti R;Borra E;Visco-Comandini F;Battaglia-Mayer A;Averbeck BB;Luppino G
通讯作者：
Luppino G
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
影响因子：
2.9
作者：
Dum, RP;Strick, PL
通讯作者：
Strick, PL
影响因子：
16.2
作者：
Chaudhuri R;Knoblauch K;Gariel MA;Kennedy H;Wang XJ
通讯作者：
Wang XJ