Real-time fMRI brain-computer interface: development of a "motivational feedback" subsystem for the regulation of visual cue reactivity.
Real-time fMRI brain-computer interface: development of a "motivational feedback" subsystem for the regulation of visual cue reactivity.
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DOI：
10.3389/fnbeh.2014.00392
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发表时间：
2014
影响因子：
3
通讯作者：
Ihssen N
中科院分区：
文献类型：
--
作者：
Sokunbi MO;Linden DE;Habes I;Johnston S;Ihssen N
在这里，我们提出了一个新的神经反馈子系统的动机相关的视觉反馈的功能性大脑激活的自我调节过程中的介绍。我们的“动机神经反馈”方法使用功能性磁共振成像（fMRI）信号，这些信号由视觉线索（图片）引发，并与诸如渴望或饥饿等动机过程相关。视觉反馈子系统通过这些图像提供同步反馈，因为它们的大小对应于来自目标大脑区域的fMRI信号变化的幅度。在线索诱发的大脑反应的自我调节过程中，图片大小的减少和增加因此在线索接近与线索回避方面提供了真实的动机后果，这增加了该方法在应用环境中的表面有效性。此外，概述的方法包括神经反馈（调节）和“镜像”运行，允许控制非特异性和任务无关的影响，如习惯化或神经适应。该方法是在Python编程语言中实现的。来自10名志愿者的试验数据显示，参与者能够成功下调单独定义的目标区域，证明了该方法的可行性。新开发的视觉反馈子系统可以集成到基于成像的脑机接口（BCI）协议中，并可能促进神经反馈研究和应用到健康和功能失调的动机过程中，如食物渴望或成瘾。
Here we present a novel neurofeedback subsystem for the presentation of motivationally relevant visual feedback during the self-regulation of functional brain activation. Our “motivational neurofeedback” approach uses functional magnetic resonance imaging (fMRI) signals elicited by visual cues (pictures) and related to motivational processes such as craving or hunger. The visual feedback subsystem provides simultaneous feedback through these images as their size corresponds to the magnitude of fMRI signal change from a target brain area. During self-regulation of cue-evoked brain responses, decreases and increases in picture size thus provide real motivational consequences in terms of cue approach vs. cue avoidance, which increases face validity of the approach in applied settings. Further, the outlined approach comprises of neurofeedback (regulation) and “mirror” runs that allow to control for non-specific and task-unrelated effects, such as habituation or neural adaptation. The approach was implemented in the Python programming language. Pilot data from 10 volunteers showed that participants were able to successfully down-regulate individually defined target areas, demonstrating feasibility of the approach. The newly developed visual feedback subsystem can be integrated into protocols for imaging-based brain-computer interfaces (BCI) and may facilitate neurofeedback research and applications into healthy and dysfunctional motivational processes, such as food craving or addiction.
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影响因子：
3.4
作者：
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通讯作者：
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