EEG Biofeedback Case Studies Using Live Z-Score Training and a Normative Database

T. Collura, Joseph Guan Mm.Ed, J. Tarrant, J. Bailey, F. Starr
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引用次数: 61

Abstract

ABSTRACT This article summarizes clinical results using a neurofeedback approach that has been developed over the last several years and is seeing increasing clinical use. All participants used a form of live Z-score training (LZT) that produces sound and video feedback, based on a computation using a normative database to produce multiple targets. The client receives simple feedback that reflects a complex set of relationships between amplitude and connectivity metrics. Changes in the EEG are readily seen that conform to the reinforcement parameters being used in relation to the live Z-scores. In addition, over multiple sessions, QEEG data are seen to change significantly, generally on a path toward overall remediation. In this series of case studies LZT is seen to effectively address EEG abnormalities in a structured fashion and to facilitate normalization of the EEG. In individual cases, specific changes are observed, related to the initial conditions, and the brain's ability to respond with appropriat...
使用实时Z-Score训练和规范数据库的EEG生物反馈案例研究
这篇文章总结了使用神经反馈方法的临床结果,这种方法在过去几年中已经发展起来,并且正在看到越来越多的临床应用。所有参与者都使用了一种现场z分数训练(LZT)的形式,该形式产生声音和视频反馈,基于使用规范数据库产生多个目标的计算。客户端接收到的简单反馈反映了振幅和连通性指标之间的复杂关系。脑电图的变化很容易看到符合与实时z分数相关的强化参数。此外,在多个会话中,QEEG数据会发生显著变化,通常会朝着全面修复的方向发展。在这一系列的案例研究中,LZT以结构化的方式有效地解决了脑电图异常,并促进了脑电图的正常化。在个别情况下,观察到具体的变化,与初始条件有关,大脑的反应能力与适当的……
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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