Coordinated reset stimulation of plastic neural networks with spatially dependent synaptic connections.

Frontiers in network physiology Pub Date : 2024-05-28 eCollection Date: 2024-01-01 DOI:10.3389/fnetp.2024.1351815
Justus A Kromer, Peter A Tass
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Abstract

Background: Abnormal neuronal synchrony is associated with several neurological disorders, including Parkinson's disease (PD), essential tremor, dystonia, and epilepsy. Coordinated reset (CR) stimulation was developed computationally to counteract abnormal neuronal synchrony. During CR stimulation, phase-shifted stimuli are delivered to multiple stimulation sites. Computational studies in plastic neural networks reported that CR stimulation drove the networks into an attractor of a stable desynchronized state by down-regulating synaptic connections, which led to long-lasting desynchronization effects that outlasted stimulation. Later, corresponding long-lasting desynchronization and therapeutic effects were found in animal models of PD and PD patients. To date, it is unclear how spatially dependent synaptic connections, as typically observed in the brain, shape CR-induced synaptic downregulation and long-lasting effects.

Methods: We performed numerical simulations of networks of leaky integrate-and-fire neurons with spike-timing-dependent plasticity and spatially dependent synaptic connections to study and further improve acute and long-term responses to CR stimulation.

Results: The characteristic length scale of synaptic connections relative to the distance between stimulation sites plays a key role in CR parameter adjustment. In networks with short synaptic length scales, a substantial synaptic downregulation can be achieved by selecting appropriate stimulus-related parameters, such as the stimulus amplitude and shape, regardless of the employed spatiotemporal pattern of stimulus deliveries. Complex stimulus shapes can induce local connectivity patterns in the vicinity of the stimulation sites. In contrast, in networks with longer synaptic length scales, the spatiotemporal sequence of stimulus deliveries is of major importance for synaptic downregulation. In particular, rapid shuffling of the stimulus sequence is advantageous for synaptic downregulation.

Conclusion: Our results suggest that CR stimulation parameters can be adjusted to synaptic connectivity to further improve the long-lasting effects. Furthermore, shuffling of CR sequences is advantageous for long-lasting desynchronization effects. Our work provides important hypotheses on CR parameter selection for future preclinical and clinical studies.

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对具有空间依赖性突触连接的可塑性神经网络进行协调重置刺激。
背景:神经元同步性异常与多种神经系统疾病有关,包括帕金森病(PD)、本质性震颤、肌张力障碍和癫痫。协调复位(CR)刺激是为抵消异常神经元同步性而开发的计算方法。在协调重置刺激过程中,相移刺激会传递到多个刺激点。对可塑性神经网络进行的计算研究表明,CR 刺激通过下调突触连接,使网络进入稳定的非同步状态的吸引子,从而产生持久的非同步效应,其持续时间超过刺激。后来,在脊髓灰质炎动物模型和脊髓灰质炎患者身上也发现了相应的持久去同步化和治疗效果。迄今为止,还不清楚大脑中通常观察到的空间依赖性突触连接是如何形成 CR 诱导的突触下调和持久效应的:我们对具有尖峰计时可塑性和空间依赖性突触连接的漏整合-发射神经元网络进行了数值模拟,以研究并进一步改善对CR刺激的急性和长期反应:结果:相对于刺激点之间的距离,突触连接的特征长度尺度在 CR 参数调整中起着关键作用。在突触长度尺度较短的网络中,通过选择适当的刺激相关参数,如刺激振幅和形状,可以实现大幅度的突触下调,而与所采用的刺激传递时空模式无关。复杂的刺激形状可诱导刺激点附近的局部连接模式。相反,在具有较长突触长度尺度的网络中,刺激释放的时空顺序对突触下调至关重要。特别是,刺激序列的快速洗牌有利于突触下调:我们的研究结果表明,CR 刺激参数可根据突触连接性进行调整,以进一步提高其持久效果。结论:我们的研究结果表明,CR 刺激参数可根据突触连通性进行调整,从而进一步改善长效效应。此外,CR 序列的洗牌对长效去同步化效应有利。我们的研究为未来的临床前和临床研究提供了有关 CR 参数选择的重要假设。
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