Suppr超能文献

内稳态结构可塑性可以解释去传入和局灶性卒中后拓扑结构的变化。

Homeostatic structural plasticity can account for topology changes following deafferentation and focal stroke.

机构信息

Simulation Lab Neuroscience - Bernstein Facility for Simulation and Database Technology, Institute for Advanced Simulation, Jülich Aachen Research Alliance, Forschungszentrum Jülich Jülich, Germany.

Student of the Medical Faculty, University of Freiburg Freiburg, Germany.

出版信息

Front Neuroanat. 2014 Oct 16;8:115. doi: 10.3389/fnana.2014.00115. eCollection 2014.

Abstract

After brain lesions caused by tumors or stroke, or after lasting loss of input (deafferentation), inter- and intra-regional brain networks respond with complex changes in topology. Not only areas directly affected by the lesion but also regions remote from the lesion may alter their connectivity-a phenomenon known as diaschisis. Changes in network topology after brain lesions can lead to cognitive decline and increasing functional disability. However, the principles governing changes in network topology are poorly understood. Here, we investigated whether homeostatic structural plasticity can account for changes in network topology after deafferentation and brain lesions. Homeostatic structural plasticity postulates that neurons aim to maintain a desired level of electrical activity by deleting synapses when neuronal activity is too high and by providing new synaptic contacts when activity is too low. Using our Model of Structural Plasticity, we explored how local changes in connectivity induced by a focal loss of input affected global network topology. In accordance with experimental and clinical data, we found that after partial deafferentation, the network as a whole became more random, although it maintained its small-world topology, while deafferentated neurons increased their betweenness centrality as they rewired and returned to the homeostatic range of activity. Furthermore, deafferentated neurons increased their global but decreased their local efficiency and got longer tailed degree distributions, indicating the emergence of hub neurons. Together, our results suggest that homeostatic structural plasticity may be an important driving force for lesion-induced network reorganization and that the increase in betweenness centrality of deafferentated areas may hold as a biomarker for brain repair.

摘要

在肿瘤或中风引起的脑损伤后,或在持续丧失输入(去传入)后,区域间和区域内的大脑网络会发生复杂的拓扑变化。不仅直接受损伤影响的区域,而且远离损伤的区域也可能改变它们的连接性——这种现象称为远隔失能。脑损伤后网络拓扑结构的变化可导致认知能力下降和功能障碍逐渐加重。然而,控制网络拓扑结构变化的原则尚不清楚。在这里,我们研究了在去传入和脑损伤后,是否可以用稳态结构可塑性来解释网络拓扑结构的变化。稳态结构可塑性假设,神经元通过在神经元活动过高时删除突触,以及在活动过低时提供新的突触接触,来试图保持所需的电活动水平。我们使用结构可塑性模型来探索由局部传入损失引起的连接变化如何影响全局网络拓扑结构。与实验和临床数据一致,我们发现,在部分去传入后,尽管网络保持小世界拓扑结构,但整体变得更加随机,而去传入的神经元通过重新布线并回到稳态活动范围,增加了它们的介数中心性。此外,去传入的神经元增加了它们的全局但降低了它们的局部效率,并出现长尾度分布,表明出现了枢纽神经元。总的来说,我们的结果表明,稳态结构可塑性可能是损伤诱导的网络重组的重要驱动力,而去传入区域介数中心性的增加可能是脑修复的一个生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c387/4199279/8443dfda42aa/fnana-08-00115-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验