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对啮齿动物小脑深部核团神经元连接的系统分析揭示了反映神经元回路和核间水平适应性的差异。

Systematic analysis of neuronal wiring of the rodent deep cerebellar nuclei reveals differences reflecting adaptations at the neuronal circuit and internuclear levels.

作者信息

Hamodeh Salah, Baizer Joan, Sugihara Izumi, Sultan Fahad

机构信息

Department of Cognitive Neurology, HIH for Clinical Brain Research, 72076, Tübingen, Germany.

出版信息

J Comp Neurol. 2014 Aug 1;522(11):2481-97. doi: 10.1002/cne.23545.

Abstract

A common view of the architecture of different brain regions is that, despite their heterogeneity, they have optimized their wiring schemes to make maximal use of space. Based on experimental findings, computational models have delineated how about two-thirds of the neuropil is filled out with dendrites and axons optimizing cable costs and conduction time while keeping the connectivity at the highest level. However, whether this assumption can be generalized to all brain regions has not yet been tested. Here we quantified and charted the components of the neuropil in the four deep cerebellar nuclei (DCN) of the rat's brain. We segmented and traced the neuropil stained with one of two antibodies, one antibody against dendritic microtubule-associated proteins (MAP2a,b) and the second against the Purkinje cell axons (PCP2). We compared fiber length density, average fiber diameter, and volume fraction within different components of the DCN in a random, systematic fashion. We observed differences in dendritic and axonal fiber length density, average fiber diameters, and volume fraction within the four different nuclei that make up the DCN. We observe a relative increase in the length density of dendrites and Purkinje cell axons in two of the DCN, namely, the posterior interposed nucleus and the lateral nucleus. Furthermore, the DCN have a surprisingly low volume fraction of their dendritic length density, which we propose is related to their special circuitry. In summary, our results show previously unappreciated functional adaptations among these nuclei.

摘要

关于不同脑区结构的一个普遍观点是,尽管它们具有异质性,但它们已经优化了其布线方案以最大程度地利用空间。基于实验结果,计算模型已经描绘出约三分之二的神经毡是如何由树突和轴突填充的,这些树突和轴突在保持最高连接水平的同时优化了电缆成本和传导时间。然而,这个假设是否能推广到所有脑区尚未得到验证。在这里,我们对大鼠脑的四个小脑深部核团(DCN)中的神经毡成分进行了量化和绘图。我们对用两种抗体之一染色的神经毡进行了分割和追踪,一种抗体针对树突微管相关蛋白(MAP2a,b),另一种针对浦肯野细胞轴突(PCP2)。我们以随机、系统的方式比较了DCN不同成分内的纤维长度密度、平均纤维直径和体积分数。我们在构成DCN的四个不同核团中观察到树突和轴突纤维长度密度、平均纤维直径和体积分数的差异。我们在其中两个DCN,即后间位核和外侧核中观察到树突和浦肯野细胞轴突的长度密度相对增加。此外,DCN的树突长度密度的体积分数出奇地低,我们认为这与它们特殊的神经回路有关。总之,我们的结果显示了这些核团之间以前未被认识到的功能适应性。

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