A generative network model of neurodevelopmental diversity in structural brain organization.
A generative network model of neurodevelopmental diversity in structural brain organization.
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DOI：
10.1038/s41467-021-24430-z
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发表时间：
2021-07-09
影响因子：
16.6
通讯作者：
Astle DE
中科院分区：
文献类型：
--
作者：
Akarca D;Vértes PE;Bullmore ET;CALM team;Astle DE
大规模大脑网络的形成及其不断完善，代表了关键的发育过程，这些过程可以推动个体认知的差异，并与多种神经发育状况有关。但是，这种组织是如何产生的，是什么机制推动了组织的多样性？我们使用生成性网络建模来提供一个了解神经发育多样性的计算框架。在这个框架内，宏观的大脑组织，连同其组织的空间嵌入，是生成性连接方程的一个新特性，它通过随着时间的推移不断地重新协商其生物成本和拓扑值来优化其连接性。管理这些迭代连接属性的规则由一组框架严密的参数控制，这些参数中的细微差异将网络增长导向不同的神经多样化结果。与模拟相关的基因的区域表达集中在生物过程和细胞成分上，主要涉及突触信号、神经元投射、分解代谢的细胞内过程和蛋白质运输。总而言之，这为概念化神经发育的机制和多样性提供了一个统一的计算框架，能够整合从基因到认知的不同层次的分析。大规模大脑网络的形成代表了关键的发育过程，这些过程可以推动个体认知上的差异，并与多种神经发育状况有关。在这里，作者使用生成性网络模型来提供一个了解神经发育多样性的计算框架。
The formation of large-scale brain networks, and their continual refinement, represent crucial developmental processes that can drive individual differences in cognition and which are associated with multiple neurodevelopmental conditions. But how does this organization arise, and what mechanisms drive diversity in organization? We use generative network modeling to provide a computational framework for understanding neurodevelopmental diversity. Within this framework macroscopic brain organization, complete with spatial embedding of its organization, is an emergent property of a generative wiring equation that optimizes its connectivity by renegotiating its biological costs and topological values continuously over time. The rules that govern these iterative wiring properties are controlled by a set of tightly framed parameters, with subtle differences in these parameters steering network growth towards different neurodiverse outcomes. Regional expression of genes associated with the simulations converge on biological processes and cellular components predominantly involved in synaptic signaling, neuronal projection, catabolic intracellular processes and protein transport. Together, this provides a unifying computational framework for conceptualizing the mechanisms and diversity in neurodevelopment, capable of integrating different levels of analysis—from genes to cognition. The formation of large-scale brain networks represents crucial developmental processes that can drive individual differences in cognition and which are associated with multiple neurodevelopmental conditions. Here, the authors use generative network modelling to provide a computational framework for understanding neurodevelopmental diversity.
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影响因子：
3.7
作者：
Astle DE;Bathelt J;CALM Team;Holmes J
通讯作者：
Holmes J
影响因子：
7.2
作者：
Astle DE;Fletcher-Watson S
通讯作者：
Fletcher-Watson S
影响因子：
4.3
作者：
Avena-Koenigsberger, Andrea;Yan, Xiaoran;Sporns, Olaf
通讯作者：
Sporns, Olaf
DOI：
10.1016/j.jaac.2018.01.014
发表时间：
2018-04-01
影响因子：
13.3
作者：
Bathelt, Joe;Holmes, Joni;Astle, Duncan E.
通讯作者：
Astle, Duncan E.
影响因子：
4.3
作者：
Alexander, Bonnie;Loh, Wai Yen;Thompson, Deanne K.
通讯作者：
Thompson, Deanne K.