Symbiotic relationship between brain structure and dynamics.
Symbiotic relationship between brain structure and dynamics.
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DOI：
10.1186/1471-2202-10-55
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发表时间：
2009-06-02
期刊：
影响因子：
2.4
通讯作者：
Breakspear M
中科院分区：
文献类型：
--
作者：
Rubinov M;Sporns O;van Leeuwen C;Breakspear M
大脑结构和动力学是相互依赖的过程，如活动依赖性神经可塑性。在这项研究中，我们的目标是从理论上研究这种相互依赖的模型中的自发皮层活动。为此，我们模拟自发脑动力学的结构连接网络，使用耦合的非线性映射。在缓慢的时间尺度上，结构连接性通过无监督的、依赖于活动的重新布线规则逐渐向所产生的功能模式调整。本模型先前已被证明生成皮质样，模块化的小世界结构拓扑结构从最初的随机连接。我们提供了进一步的生物物理的理由，这个模型和定量表征的结构，功能和动态之间的关系，伴随着随之而来的自组织。我们表明，耦合混沌动力学产生有序和模块化的功能模式，即使在一个随机的底层结构连接。因此，结构连接变得更加模块化，因为它重新连接到这些功能模式。功能网络反映了慢时间尺度上的底层结构网络，但在更快的时间尺度上则明显不那么明显。尽管有有序的功能拓扑结构，结构网络仍然保持稳健的互连-因此小世界-由于中心的存在，模块间的枢纽节点。这些枢纽的嘈杂动态使它们能够持续存在，尽管正在进行重新布线，尽管它们在功能网络中相对缺席。我们的研究结果概述了一个理论机制，大脑动力学可能有助于神经解剖学的自组织。我们发现结构和功能网络之间的时间尺度依赖的差异。这些差异很可能是由中央结构节点的不同动态引起的。
Brain structure and dynamics are interdependent through processes such as activity-dependent neuroplasticity. In this study, we aim to theoretically examine this interdependence in a model of spontaneous cortical activity. To this end, we simulate spontaneous brain dynamics on structural connectivity networks, using coupled nonlinear maps. On slow time scales structural connectivity is gradually adjusted towards the resulting functional patterns via an unsupervised, activity-dependent rewiring rule. The present model has been previously shown to generate cortical-like, modular small-world structural topology from initially random connectivity. We provide further biophysical justification for this model and quantitatively characterize the relationship between structure, function and dynamics that accompanies the ensuing self-organization. We show that coupled chaotic dynamics generate ordered and modular functional patterns, even on a random underlying structural connectivity. Consequently, structural connectivity becomes more modular as it rewires towards these functional patterns. Functional networks reflect the underlying structural networks on slow time scales, but significantly less so on faster time scales. In spite of ordered functional topology, structural networks remain robustly interconnected – and therefore small-world – due to the presence of central, inter-modular hub nodes. The noisy dynamics of these hubs enable them to persist despite ongoing rewiring and despite their comparative absence in functional networks. Our results outline a theoretical mechanism by which brain dynamics may facilitate neuroanatomical self-organization. We find time scale dependent differences between structural and functional networks. These differences are likely to arise from the distinct dynamics of central structural nodes.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
5.3
作者：
Achard, S;Salvador, R;Bullmore, ET
通讯作者：
Bullmore, ET
影响因子：
4.3
作者：
Achard S;Bullmore E
通讯作者：
Bullmore E
影响因子：
7.8
作者：
Breakspear, M;Terry, JR;Friston, KJ
通讯作者：
Friston, KJ
影响因子：
2.9
作者：
Fourcaud, N;Brunel, N
通讯作者：
Brunel, N