Using Neurofeedback from Steady-State Visual Evoked Potentials to Target Affect-Biased Attention in Augmented Reality.
Using Neurofeedback from Steady-State Visual Evoked Potentials to Target Affect-Biased Attention in Augmented Reality.
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DOI：
10.1109/embc48229.2022.9871982
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发表时间：
2022-07
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对情绪刺激的注意偏差（即，情感偏向的注意）有助于抑郁和焦虑的发展和维持，可能是一个有希望的干预目标。由于可靠性和精确性的问题，过去试图治疗性地改变情感偏见注意力的尝试一直不令人满意。脑电图（EEG）衍生的稳态视觉诱发电位（SSVEPS）提供了一个时间敏感的生物指标，注意竞争的视觉刺激在视觉皮层的神经元群体的水平。SSVEPS可以潜在地用于量化情感干扰物与任务相关刺激物是否在神经反馈会话期间在逐个试验的水平上“赢得”注意力的竞争。本研究尝试了一种基于SSVEP的神经反馈训练方案，使用便携式增强现实（AR）EEG接口来修改情感偏向注意。在与五名健康参与者的神经反馈会话期间，在SSVEP指数中，对任务相关刺激（Gabor贴片）的注意力显著高于情感干扰物（负面情绪表达）（p<0.0001）。SSVEP指数表现出良好的内部一致性，证明了最大的Guttman分半系数为0.97时，比较偶数和奇数试验。需要进一步的测试，但研究结果表明，几种SSVEP神经反馈计算方法最值得进一步的调查和支持正在进行的努力，开发和实施SSVEP指导的AR为基础的神经反馈训练，以修改情绪偏见的注意力在青春期女孩抑郁症的高风险。
Biases in attention to emotional stimuli (i.e., affect-biased attention) contribute to the development and maintenance of depression and anxiety and may be a promising target for intervention. Past attempts to therapeutically modify affect-biased attention have been unsatisfactory due to issues with reliability and precision. Electroencephalogram (EEG)-derived steady-state visual evoked potentials (SSVEPS) provide a temporally-sensitive biological index of attention to competing visual stimuli at the level of neuronal populations in the visual cortex. SSVEPS can potentially be used to quantify whether affective distractors vs. task-relevant stimuli have “won” the competition for attention at a trial-by-trial level during neurofeedback sessions. This study piloted a protocol for a SSVEP-based neurofeedback training to modify affect-biased attention using a portable augmented-reality (AR) EEG interface. During neurofeedback sessions with five healthy participants, significantly greater attention was given to the task-relevant stimulus (a Gabor patch) than to affective distractors (negative emotional expressions) across SSVEP indices (p<0.0001). SSVEP indices exhibited excellent internal consistency as evidenced by a maximum Guttman split-half coefficient of 0.97 when comparing even to odd trials. Further testing is required, but findings suggest several SSVEP neurofeedback calculation methods most deserving of additional investigation and support ongoing efforts to develop and implement a SSVEP-guided AR-based neurofeedback training to modify affect-biased attention in adolescent girls at high risk for depression.