Generative models of the human connectome.

Generative models of the human connectome.
复制标题

DOI:
10.1016/j.neuroimage.2015.09.041
复制
发表时间:
2016-01-01
期刊:
影响因子:
5.7
通讯作者:
Sporns O
Sporns O
中科院分区:
医学1区
文献类型:
--
作者:
Betzel RF;Avena-Koenigsberger A;Goñi J;He Y;de Reus MA;Griffa A;Vértes PE;Mišic B;Thiran JP;Hagmann P;van den Heuvel M;Zuo XN;Bullmore ET;Sporns O

文献摘要

被引文献

相似文献

人类连接体代表了大脑接线图的网络图,其连接的组织模式被认为在认知功能中起着重要作用。形成人类连接体拓扑结构的生成规则仍然不完全清楚。早期在模式生物中的工作表明,基于几何关系(距离)的布线规则可以解释许多但可能不是所有的拓扑特征。在这里,我们系统地探讨了一个家庭的人类连接体的生成模型,产生合成网络设计根据不同的布线规则相结合的几何和广泛的拓扑因素。我们发现,几何约束与同性连接机制的结合可以创建与个体人类连接体的许多拓扑特征密切匹配的合成网络,包括生成模型本身优化中不包括的特征。我们使用这些模型来研究寿命数据集,并表明,随着年龄的增长,模型参数进行渐进的变化,这表明在整个寿命期间连接体的生成因素的重新平衡。我们系统地比较了人类连接体的13种生成模型。最佳拟合模型结合了距离惩罚和同质性。我们的结果在三个数据集(共380名参与者)中一致。距离惩罚在人的一生中单调减弱。
The human connectome represents a network map of the brain's wiring diagram and the pattern into which its connections are organized is thought to play an important role in cognitive function. The generative rules that shape the topology of the human connectome remain incompletely understood. Earlier work in model organisms has suggested that wiring rules based on geometric relationships (distance) can account for many but likely not all topological features. Here we systematically explore a family of generative models of the human connectome that yield synthetic networks designed according to different wiring rules combining geometric and a broad range of topological factors. We find that a combination of geometric constraints with a homophilic attachment mechanism can create synthetic networks that closely match many topological characteristics of individual human connectomes, including features that were not included in the optimization of the generative model itself. We use these models to investigate a lifespan dataset and show that, with age, the model parameters undergo progressive changes, suggesting a rebalancing of the generative factors underlying the connectome across the lifespan. We systematically compare thirteen generative models for the human connectome. The best-fitting model combines a distance penalty with homophily. Our results are consistent across three datasets comprising 380 total participants. The distance penalty weakens monotonically across the human lifespan.