Lim Sol, Kaiser Marcus
Department of Brain and Cognitive Sciences, Seoul National University, Seoul, Republic of Korea.
Biol Cybern. 2015 Apr;109(2):275-86. doi: 10.1007/s00422-014-0641-3. Epub 2015 Jan 30.
Early brain connectivity development consists of multiple stages: birth of neurons, their migration and the subsequent growth of axons and dendrites. Each stage occurs within a certain period of time depending on types of neurons and cortical layers. Forming synapses between neurons either by growing axons starting at similar times for all neurons (much-overlapped time windows) or at different time points (less-overlapped) may affect the topological and spatial properties of neuronal networks. Here, we explore the extreme cases of axon formation during early development, either starting at the same time for all neurons (parallel, i.e., maximally overlapped time windows) or occurring for each neuron separately one neuron after another (serial, i.e., no overlaps in time windows). For both cases, the number of potential and established synapses remained comparable. Topological and spatial properties, however, differed: Neurons that started axon growth early on in serial growth achieved higher out-degrees, higher local efficiency and longer axon lengths while neurons demonstrated more homogeneous connectivity patterns for parallel growth. Second, connection probability decreased more rapidly with distance between neurons for parallel growth than for serial growth. Third, bidirectional connections were more numerous for parallel growth. Finally, we tested our predictions with C. elegans data. Together, this indicates that time windows for axon growth influence the topological and spatial properties of neuronal networks opening up the possibility to a posteriori estimate developmental mechanisms based on network properties of a developed network.
神经元的诞生、迁移以及随后轴突和树突的生长。每个阶段都在一定时间段内发生,这取决于神经元的类型和皮质层。所有神经元在相似时间开始生长轴突(时间窗口高度重叠)或在不同时间点开始生长轴突(时间窗口重叠较少)来形成神经元之间的突触,这可能会影响神经网络的拓扑和空间特性。在这里,我们探讨早期发育过程中轴突形成的极端情况,即所有神经元同时开始(并行,即时间窗口最大程度重叠)或每个神经元依次单独开始(串行,即时间窗口无重叠)。对于这两种情况,潜在突触和已建立突触的数量保持相当。然而,拓扑和空间特性有所不同:在串行生长中早期开始轴突生长的神经元具有更高的出度、更高的局部效率和更长的轴突长度,而对于并行生长,神经元表现出更均匀的连接模式。其次,并行生长时连接概率随神经元之间距离的下降比串行生长更快。第三,并行生长的双向连接更多。最后,我们用秀丽隐杆线虫的数据检验了我们的预测。总之,这表明轴突生长的时间窗口会影响神经网络的拓扑和空间特性,从而为基于已发育网络的网络特性事后估计发育机制提供了可能性。