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Powering Up Attentional Focus: Validating a School-Based Deep Breathing Intervention with Mobile EEG—A Pilot Exploration

机译:增强注意力集中度:通过移动EEG验证基于学校的深度呼吸干预的初步探索

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Electrophysiological and neuroimaging data are important sources of information for validating the efficacy or effects of interventions. Many interventions for children are carried out in the schools especially if they are educationally relevant. However, factors such as high costs and physical constraints have typically limited the use of electrophysiological and neuroimaging tools to laboratory settings. Despite their reduced capabilities, the appearance of low-cost, quick-to-set-up mobile equipment in recent years have renewed the possibility of applying such techniques to monitor effects in school-based interventions. The current study explores the utility of a low-cost, mobile electroencephalography (EEG) headset system in detecting neurophysiological effects of a school-based deep breathing intervention, found in a previous behavioral study to be efficacious in reducing self-reported state anxiety and enhancing test performance in children. As part of a larger pilot study, EEG, respiration, and behavioral data were collected from a group of right-handed 11-year-olds as they performed a flanker task of attentional focus twice, once with a deep breathing intervention and once without. Results from power spectral analyses suggest that the low-cost, low-resolution, mobile EEG system is able to detect power spectra differences associated with flanker interference and intervention effects.
机译:电生理和神经影像学数据是验证干预效果或效果的重要信息来源。在学校中对儿童采取了许多干预措施,特别是在与教育相关的情况下。然而,诸如高成本和物理约束之类的因素通常将电生理和神经成像工具的使用限制为实验室环境。尽管功能降低,但近年来出现的低成本,快速设置的移动设备已经重新出现了将此类技术应用于监测学校干预措施的效果的可能性。当前的研究探索了一种低成本的移动脑电图(EEG)头戴式耳机系统在检测以学校为基础的深呼吸干预措施的神经生理学作用方面的实用性,在先前的一项行为研究中发现该方法可有效减少自我报告的状态焦虑并增强测试儿童的表现。作为一项较大规模试点研究的一部分,他们从一组右撇子11岁的青少年中收集了EEG,呼吸和行为数据,他们两次执行了侧重于注意力的侧翼任务,一次进行了深呼吸干预,一次进行了无呼吸干预。功率谱分析的结果表明,低成本,低分辨率的移动EEG系统能够检测与侧翼干扰和干预效果相关的功率谱差异。

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