Subject specific maximization of motor function with an adaptive optimal combination of noisy and oscillatory transcranial current stimulation

通过噪声和振荡经颅电流刺激的自适应最佳组合实现受试者特定运动功能的最大化

• 批准号: 239142454
• 负责人: Professor Dr. Stephan A. Brandt
• 金额: --
• 依托单位: Klinik für Neurologie mit Experimenteller Neurologie (CCM)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2013
• 资助国家: 德国
• 起止时间: 2012-12-31 至 2016-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/239142454?language=en
• 关键词: Subject; specific; maximization; motor; function

Transcranial brain stimulation comprises methods for non-invasive painless stimulation of the human cortex. Thus, for example, tonic subthreshold electric stimulation of the brain with transcranial direct current stimulation (tDCS) allows for the circumscribed long-lasting modification of cortical excitability. Incongruous effects following direct current, alternating current and random-noise stimulation are interesting from a neurophysiological view-point, have the potential to be used in patients in clinical neurology and neuro-rehabilitation and may contribute to a common explanatory model of the various brain stimulation techniques. The goal of this proposal is to optimally promote motor function in healthy subjects by the systematic modification of two fundamental stimulation parameters - noise and oscillation. The model-free optimization of these stimulus parameters on the basis of changes in a predefined state-variable (e.g. finger-tapping, cortico-muscular coherence) and model-based current density calculations (finite or boundary elements) allows us to establish a closed-loop stimulation algorithm (tONS, transcranial optimal noise stimulation) to promote motor functions. We hypothesize that tONS is more efficient than pure oscillatory or noisy forms of stimulation in the specific modification of neuronal networks (e.g. for finger-tapping speed or precision maximization). Additionally, the implementation of navigated brain stimulation software will ensure precise as well as safe stimulation in e.g. a clinical setting.

经颅脑刺激包括对人类皮层进行非侵入性无痛刺激的方法。因此，例如，通过经颅直流电刺激（tDCS）对大脑进行强直阈下电刺激可以对皮质兴奋性进行有限的持久改变。从神经生理学的角度来看，直流电、交流电和随机噪声刺激后的不协调效应很有趣，有可能在临床神经病学和神经康复中用于患者，并可能有助于建立各种脑刺激技术的通用解释模型。该提案的目标是通过系统地修改两个基本刺激参数（噪声和振荡）来最佳地促进健康受试者的运动功能。基于预定义状态变量（例如手指敲击、皮质肌肉相干性）和基于模型的电流密度计算（有限元或边界元）的变化对这些刺激参数进行无模型优化，使我们能够建立闭环刺激算法（tONS，经颅最佳噪声刺激）来促进运动功能。我们假设，在神经元网络的特定修改（例如，手指敲击速度或精度最大化）中，tONS 比纯振荡或噪声形式的刺激更有效。此外，导航脑刺激软件的实施将确保精确且安全的刺激，例如在刺激中。临床环境。