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Testing the Specificity of EEG Neurofeedback Training on First- and Second-Order Measures of Attention

机译:测试EEG神经融合训练的特异性,对第一和二阶注意力措施

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During electroencephalography (EEG) neurofeedback training, individuals learn to willfully modulate their brain oscillations. Successful modulation has been shown to be related to cognitive benefits and wellbeing. The current paper addresses the specificity of three neurofeedback protocols in influencing first- (basic Stroop effect) and second-order (Gratton effect) measures of attentional control. The data come from two previously presented studies that included the Stroop task to assess attentional control. The three neurofeedback protocols were upregulation of frontal alpha, sensorimotor (SMR), and midfrontal theta oscillations. The results show specific effects of different EEG neurofeedback protocols on attentional control and are modulated by the cognitive effort needed in the Stroop task. To summarize, in less-demanding versions of the Stroop task, alpha training improves first- and second-order attentional control, whereas SMR and theta training had no effect. In the demanding version of the Stroop task, theta training improves first-order, but not second-order control and SMR training has no effect on either. Using a drift diffusion model-based analysis, it is shown that only alpha and theta training modulate the underlying cognitive processing, with theta upregulation enhancing evidence accumulation. Although the current results need to be interpreted with caution, they support the use of different neurofeedback protocols to augment specific aspects of the attentional system. Recommendations for future work are made.
机译:在脑电图(EEG)神经融合训练期间,个人学会故意调制其脑振荡。已展示成功调制与认知益处和福祉有关。目前的论文解决了三种神经融合协议的特异性,以影响主要(基本争夺效应)和注意力控制的二阶(格子效应)措施。数据来自两个先前呈现的研究,其中包括争取任务以评估注意力控制。三种神经融合协议是额相α,传感器(SMR)和中间θ振荡的上调。结果表明了不同EEG神经融合协议对注意力控制的特异性效果,并通过Stroop任务所需的认知努力调制。总之,在苛刻的The Task任务版本中,Alpha培训改善了第一和二阶注意力控制,而SMR和Theta培训没有影响。在STROOP任务的苛刻版本中,THETA培训提高了一阶,但不是二阶控制和SMR培训也没有影响。使用基于漂移扩散模型的分析,表明只有α和θ训练调节潜在的认知处理,θ上调增强了证据积累。虽然目前的结果需要谨慎地解释,但它们支持使用不同的神经融合协议来增加注意力系统的具体方面。提出未来工作的建议。

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