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哺乳动物大脑皮层神经元密度普遍呈对数正态分布。

Ubiquitous lognormal distribution of neuron densities in mammalian cerebral cortex.

机构信息

Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institut Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Wilhelm-Johnen-Str., 52428 Jülich, Germany.

Institute of Zoology, University of Cologne, Zülpicher Str., 50674 Cologne, Germany.

出版信息

Cereb Cortex. 2023 Aug 8;33(16):9439-9449. doi: 10.1093/cercor/bhad160.

DOI:10.1093/cercor/bhad160
PMID:37409647
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10438924/
Abstract

Numbers of neurons and their spatial variation are fundamental organizational features of the brain. Despite the large corpus of cytoarchitectonic data available in the literature, the statistical distributions of neuron densities within and across brain areas remain largely uncharacterized. Here, we show that neuron densities are compatible with a lognormal distribution across cortical areas in several mammalian species, and find that this also holds true within cortical areas. A minimal model of noisy cell division, in combination with distributed proliferation times, can account for the coexistence of lognormal distributions within and across cortical areas. Our findings uncover a new organizational principle of cortical cytoarchitecture: the ubiquitous lognormal distribution of neuron densities, which adds to a long list of lognormal variables in the brain.

摘要

神经元的数量及其空间变化是大脑的基本组织特征。尽管文献中提供了大量细胞构筑学数据,但神经元密度在脑区内部和脑区之间的统计分布在很大程度上仍未得到描述。在这里,我们表明,神经元密度在几种哺乳动物的皮质区域中与对数正态分布相兼容,并且还发现这种情况在皮质区域内也是如此。一个带有分布式增殖时间的噪声细胞分裂的最小模型,可以解释对数正态分布在皮质区域内和区域之间的共存。我们的研究结果揭示了皮质细胞构筑的一个新的组织原则:神经元密度的普遍对数正态分布,这增加了大脑中许多对数正态变量的列表。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea76/10438924/2e99a0a18df6/bhad160f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea76/10438924/92df68773daf/bhad160f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea76/10438924/7550bd973972/bhad160f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea76/10438924/1f81279fa53a/bhad160f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea76/10438924/73fd3af8e65f/bhad160f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea76/10438924/2e99a0a18df6/bhad160f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea76/10438924/92df68773daf/bhad160f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea76/10438924/7550bd973972/bhad160f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea76/10438924/1f81279fa53a/bhad160f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea76/10438924/73fd3af8e65f/bhad160f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea76/10438924/2e99a0a18df6/bhad160f5.jpg

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Neural heterogeneity promotes robust learning.神经异质性促进了稳健的学习。
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Relationships between lognormal distributions of neural properties, activity, criticality, and connectivity.神经特性、活动、临界性和连接的对数正态分布之间的关系。
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An architectonic type principle integrates macroscopic cortico-cortical connections with intrinsic cortical circuits of the primate brain.一种架构类型原则将灵长类大脑的宏观皮质-皮质连接与内在皮质回路整合在一起。
Netw Neurosci. 2019 Sep 1;3(4):905-923. doi: 10.1162/netn_a_00100. eCollection 2019.
6
Development and Arealization of the Cerebral Cortex.大脑皮层的发育与区域化。
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