Success and failure of controlling the real-time functional magnetic resonance imaging neurofeedback signal are reflected in the striatum
Success and failure of controlling the real-time functional magnetic resonance imaging neurofeedback signal are reflected in the striatum
复制标题
DOI：
10.1002/brb3.1240
复制
发表时间：
2019-03-01
影响因子：
3.1
通讯作者：
Goebel, Rainer
中科院分区：
文献类型：
--
作者：
Skottnik, Leon;Sorger, Bettina;Goebel, Rainer
在过去的几十年里，神经反馈已被应用于各种研究背景和治疗干预。尽管这种广泛的使用，其神经机制仍在争论中。几项科学进展已经表明，不同的网络在神经反馈期间变得共同活跃，包括通常参与自我调节的区域、与驱动神经反馈的特定心理任务相关的区域以及通常参与反馈学习的区域（Sitaram等人，2017，Nature Reviews Neuroscience，18，86）。方法为了研究神经反馈的神经机制，但独立于一般的自我调节的影响，我们比较了大脑激活功能磁共振成像（fMRI）测量不同的心理任务，包括逐步自我调节，并提供神经反馈。10名参与者自由选择一项自我调节任务，并在fMRI扫描期间接受两次训练，一次接受神经反馈，一次不接受神经反馈。在神经反馈会话期间，基于任务相关的、单独定义的目标区域中的活动实时提供反馈信号。在这两个阶段中，参与者的目标是在目标区域达到并保持低、中、高的大脑激活水平。结果在神经反馈的渐进式自我调节过程中，大脑皮层控制区以及涉及奖赏和反馈加工的区域网络被激活。在不同的心理任务中，带有反馈的自我调节伴随着纹状体内更强的激活。额外的时间分辨单次试验分析显示，神经反馈表现与反映自我调节准确性的纹状体延迟脑反应呈正相关。结论总体而言，这些发现支持神经反馈通过参与反馈和奖励处理的一般任务区域有助于自我调节。
Introduction Over the last decades, neurofeedback has been applied in variety of research contexts and therapeutic interventions. Despite this extensive use, its neural mechanisms are still under debate. Several scientific advances have suggested that different networks become jointly active during neurofeedback, including regions generally involved in self-regulation, regions related to the specific mental task driving the neurofeedback and regions generally involved in feedback learning (Sitaram et al., 2017, Nature Reviews Neuroscience, 18, 86). Methods To investigate the neural mechanisms specific to neurofeedback but independent from general effects of self-regulation, we compared brain activation as measured with functional magnetic resonance imaging (fMRI) across different mental tasks involving gradual self-regulation with and without providing neurofeedback. Ten participants freely chose one self-regulation task and underwent two training sessions during fMRI scanning, one with and one without receiving neurofeedback. During neurofeedback sessions, feedback signals were provided in real-time based on activity in task-related, individually defined target regions. In both sessions, participants aimed at reaching and holding low, medium, or high brain-activation levels in the target region. Results During gradual self-regulation with neurofeedback, a network of cortical control regions as well as regions implicated in reward and feedback processing were activated. Self-regulation with feedback was accompanied by stronger activation within the striatum across different mental tasks. Additional time-resolved single-trial analysis revealed that neurofeedback performance was positively correlated with a delayed brain response in the striatum that reflected the accuracy of self-regulation. Conclusion Overall, these findings support that neurofeedback contributes to self-regulation through task-general regions involved in feedback and reward processing.