Gradients of neurotransmitter receptor expression in the macaque cortex.

Gradients of neurotransmitter receptor expression in the macaque cortex.
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DOI:
10.1038/s41593-023-01351-2
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发表时间:
2023-07
影响因子:
25
通讯作者:
Palomero-Gallagher, Nicola
Palomero-Gallagher, Nicola
中科院分区:
医学1区
文献类型:
--
作者:
Froudist-Walsh, Sean;Xu, Ting;Niu, Meiqi;Rapan, Lucija;Zhao, Ling;Margulies, Daniel S. S.;Zilles, Karl;Wang, Xiao-Jing;Palomero-Gallagher, Nicola

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神经回路的动力学和功能依赖于受体介导的相互作用。因此,需要一个全面的地图的受体组织在皮层区域。在这项研究中,我们使用体外受体放射自显影术测量猕猴皮层109个区域中14种神经递质受体类型的密度。我们将受体数据与解剖学,遗传学和功能连接数据整合到一个共同的皮质空间中。我们发现了每个神经元受体表达的主要梯度。这与从感觉皮层到更高认知区域的皮层层级相一致。由5-羟色胺5-HT 1A受体驱动的第二个梯度在前扣带、默认模式和显著性网络中达到峰值。我们在人脑中发现了类似的5-HT 1A表达模式。因此,猕猴可能是一个很有前途的翻译模型的多巴胺能加工和疾病。感受器梯度可以使感觉皮层区域的信息处理快速、可靠,而在更高的认知区域则可以实现缓慢、灵活的整合。Froudist-Walsh等人揭示了猕猴皮层中受体密度的组织原理。多种受体类型的密度与树突特性、髓鞘和功能网络的变化一致。数据向社区公开发布。
Dynamics and functions of neural circuits depend on interactions mediated by receptors. Therefore, a comprehensive map of receptor organization across cortical regions is needed. In this study, we used in vitro receptor autoradiography to measure the density of 14 neurotransmitter receptor types in 109 areas of macaque cortex. We integrated the receptor data with anatomical, genetic and functional connectivity data into a common cortical space. We uncovered a principal gradient of receptor expression per neuron. This aligns with the cortical hierarchy from sensory cortex to higher cognitive areas. A second gradient, driven by serotonin 5-HT1A receptors, peaks in the anterior cingulate, default mode and salience networks. We found a similar pattern of 5-HT1A expression in the human brain. Thus, the macaque may be a promising translational model of serotonergic processing and disorders. The receptor gradients may enable rapid, reliable information processing in sensory cortical areas and slow, flexible integration in higher cognitive areas. Froudist-Walsh et al. reveal organizational principles of receptor densities in macaque cortex. Densities of multiple receptor types align with changes in dendritic properties, myelin and functional networks. Data are openly released to the community.
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