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Neurofeedback as a Neurorehabilitation Tool for Memory Deficits - A Phase 0 Clinical Trial

机译:作为内存缺陷的神经融合作为神经晕厥工具 - 临床试验

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Although underexplored, the idea of using brain computer interfaces (BCI) for behavioral and cognitive rehabilitation is based on recent evidence suggesting that not only self-regulated brain signals, but also involuntary brain signals may provide useful information about the BCI user. These BCI systems, also called passive BCIs, acquire brain waves from an electroencephalographic (EEG) amplifier and then utilize the biomarkers derived from the brain signal and adapt to the user's performance without the purpose of voluntary control of the system (Zander & Kothe, 2011). The aim is to apply neuro-physiological regulation to foster cortical reorganization and compensatory cerebral activation by targeting brain-wave correlates of functional deficits, thus promoting Central Nervous System (CNS) plasticity (Duffau, 2006). Critically, CNS plasticity has been observed in early-stages of dementia, thus constituting a great challenge for the development of "cognitive BCIs" focused on the rehabilitation of brain functions in neurological patients (Hill et al., 2011). The main goal of this project is to promote CNS plasticity, and therefore cognitive reserve, through neurofeedback training in subjects with Subjective Memory Complaints (SMC) related to attentional deficits. It is a Phase 0 clinical trial.
机译:虽然曝光过度,但使用脑计算机接口(BCI)的想法是基于最近的证据,表明不仅是自我调节的脑信号,而且不间直的脑信号也可以提供关于BCI用户的有用信息。这些BCI系统,也称为被动BCI,从脑电图(EEG)放大器中获取脑波,然后利用来自大脑信号的生物标志物,并在没有自愿控制的情况下适应用户的性能(Zander&Kothe,2011 )。目的是通过靶向功能缺陷的脑波相关,促进内部神经系统(CNS)塑性(Duffau,2006)来应用神经生理调节以促进皮质重组和补偿性脑激活,从而促进中枢神经系统(CNS)塑性(Duffau,2006)。危重性地,在痴呆症的早期阶段观察到CNS可塑性,从而构成了对“认知BCIS”的发展的巨大挑战,其重点是神经系统患者脑功能的康复(Hill等,2011)。该项目的主要目标是通过在与注意力赤字有关的主观记忆投诉(SMC)的主题中的神经融合培训,促进CNS可塑性,因此认知储备。它是0期临床试验。

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