论文标题
在人类结构连接组上实现的动力学模型中的协同信息揭示了与年龄的空间不同关联
Synergistic information in a dynamical model implemented on the human structural connectome reveals spatially distinct associations with age
论文作者
论文摘要
我们在4-85岁的健康受试者的白质连接的大规模架构上实施了动力学模型，并根据协同作用分析动力学，该数量衡量了变量对的联合状态的程度，该程度被投影到目标一个目标的动力学上。我们发现，在临界温度之前，解释结构连通性（在程度强度）峰值的枢纽的动力学方面的协同量，因此可以被视为临界过渡的前体。相反，最大数量的协同作用是解释了更多中心节点的动态。我们还发现，结构连通性的衰老与模拟动态的显着变化有关：有些大脑区域的协同作用随着年龄的增长而降低，尤其是额头，亚壁球区域和补充运动区域；然后，这些领域可能在执行高阶计算的能力方面更有可能显示出下降（如果结构连接性是唯一的变量）。另一方面，颞皮质中的几个区域在生命的头30年（即在大脑成熟期间）显示出与年龄的正相关。
We implement the dynamical Ising model on the large scale architecture of white matter connections of healthy subjects in the age range 4-85 years, and analyze the dynamics in terms of the synergy, a quantity measuring the extent to which the joint state of pairs of variables is projected onto the dynamics of a target one. We find that the amount of synergy in explaining the dynamics of the hubs of the structural connectivity (in terms of degree strength) peaks before the critical temperature, and can thus be considered as a precursor of a critical transition. Conversely the greatest amount of synergy goes into explaining the dynamics of more central nodes. We also find that the aging of the structural connectivity is associated to significant changes in the simulated dynamics: there are brain regions whose synergy decreases with age, in particular the frontal pole, the Subcallosal area and the Supplementary Motor area; these areas could then be more likely to show a decline in terms of the capability to perform higher order computation (if structural connectivity was the sole variable). On the other hand, several regions in the temporal cortex show a positive correlation with age in the first 30 years of life, i.e. during brain maturation.
