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Improved Volitional Recall of Motor-Imagery-Related Brain Activation Patterns Using Real-Time Functional MRI-Based Neurofeedback

机译:使用基于实时功能性MRI的神经反馈改善了与运动图像相关的大脑激活模式的自愿回忆

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摘要

Motor imagery (MI), a covert cognitive process where an action is mentally simulated but not actually performed, could be used as an effective neurorehabilitation tool for motor function improvement or recovery. Recent approaches employing brain–computer/brain–machine interfaces to provide online feedback of the MI during rehabilitation training have promising rehabilitation outcomes. In this study, we examined whether participants could volitionally recall MI-related brain activation patterns when guided using neurofeedback (NF) during training. The participants’ performance was compared to that without NF. We hypothesized that participants would be able to consistently generate the relevant activation pattern associated with the MI task during training with NF compared to that without NF. To assess activation consistency, we used the performance of classifiers trained to discriminate MI-related brain activation patterns. Our results showed significantly higher predictive values of MI-related activation patterns during training with NF. Additionally, this improvement in the classification performance tends to be associated with the activation of middle temporal gyrus/inferior occipital gyrus, a region associated with visual motion processing, suggesting the importance of performance monitoring during MI task training. Taken together, these findings suggest that the efficacy of MI training, in terms of generating consistent brain activation patterns relevant to the task, can be enhanced by using NF as a mechanism to enable participants to volitionally recall task-related brain activation patterns.
机译:运动图像(MI)是一种隐蔽的认知过程,其中的动作在心理上是模拟的,但实际上并未执行,可以用作改善或恢复运动功能的有效神经康复工具。在康复训练期间,采用脑机/脑机接口提供心梗在线反馈的最新方法具有可喜的康复效果。在这项研究中,我们检查了参与者在训练过程中使用神经反馈(NF)指导时是否可以自愿回忆起MI相关的大脑激活模式。将参与者的表现与没有NF的参与者进行比较。我们假设与没有NF的参与者相比,参与者在有NF的训练期间将能够持续生成与MI任务相关的相关激活模式。为了评估激活一致性,我们使用了经过训练的分类器的性能来区分MI相关的大脑激活模式。我们的结果显示,在NF训练过程中,MI相关激活模式的预测值明显更高。另外,分类性能的这种改善往往与中颞回/枕下回的激活有关,该区域与视觉运动处理相关,提示在MI任务训练过程中进行性能监测的重要性。综上所述,这些发现表明,通过使用NF作为使参与者自愿回忆与任务相关的大脑激活模式的机制,可以增强MI训练在产生与任务相关的一致的大脑激活模式方面的功效。

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