Section on Critical Brain Dynamics, National Institute of Mental Health, NIH, Bethesda, United States.
Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, United States.
Elife. 2023 Mar 28;12:e81982. doi: 10.7554/eLife.81982.
Temporal synchrony of signals arriving from different neurons or brain regions is essential for proper neural processing. Nevertheless, it is not well understood how such synchrony is achieved and maintained in a complex network of time-delayed neural interactions. Myelin plasticity, accomplished by oligodendrocytes (OLs), has been suggested as an efficient mechanism for controlling timing in brain communications through adaptive changes of axonal conduction velocity and consequently conduction time delays, or latencies; however, local rules and feedback mechanisms that OLs use to achieve synchronization are not known. We propose a mathematical model of oligodendrocyte-mediated myelin plasticity (OMP) in which OLs play an active role in providing such feedback. This is achieved without using arrival times at the synapse or modulatory signaling from astrocytes; instead, it relies on the presence of global and transient OL responses to local action potentials in the axons they myelinate. While inspired by OL morphology, we provide the theoretical underpinnings that motivated the model and explore its performance for a wide range of its parameters. Our results indicate that when the characteristic time of OL's transient intracellular responses to neural spikes is between 10 and 40 ms and the firing rates in individual axons are relatively low (10 Hz), the OMP model efficiently synchronizes correlated and time-locked signals while latencies in axons carrying independent signals are unaffected. This suggests a novel form of selective synchronization in the CNS in which oligodendrocytes play an active role by modulating the conduction delays of correlated spike trains as they traverse to their targets.
不同神经元或脑区传入信号的时间同步对于正常的神经处理至关重要。然而,在复杂的时滞神经网络相互作用中,这种同步是如何实现和维持的还不太清楚。少突胶质细胞(OLs)完成的髓鞘可塑性被认为是一种通过轴突传导速度的自适应变化来控制脑通讯中时间的有效机制,从而导致传导时间延迟或潜伏期的变化;然而,OL 用于实现同步的局部规则和反馈机制尚不清楚。我们提出了一个少突胶质细胞介导的髓鞘可塑性(OMP)的数学模型,其中 OL 发挥积极作用提供这种反馈。这是通过不使用突触的到达时间或星形胶质细胞的调制信号来实现的;相反,它依赖于 OL 对其髓鞘化的轴突中局部动作电位的全局和瞬态反应的存在。虽然受到 OL 形态的启发,但我们提供了激励模型的理论基础,并探索了其在广泛参数范围内的性能。我们的结果表明,当 OL 对神经尖峰的瞬态细胞内反应的特征时间在 10 到 40 毫秒之间,并且单个轴突中的放电率相对较低(10 Hz)时,OMP 模型有效地同步相关和时间锁定的信号,而携带独立信号的轴突中的潜伏期不受影响。这表明在中枢神经系统中存在一种新的选择性同步形式,其中少突胶质细胞通过调节相关尖峰序列在到达目标时的传导延迟来发挥积极作用。