Control of Brain Activity in hMT+/V5 at Three Response Levels Using fMRI-Based Neurofeedback/BCI
Control of Brain Activity in hMT+/V5 at Three Response Levels Using fMRI-Based Neurofeedback/BCI
复制标题
使用基于 fMRI 的神经反馈/BCI 控制 hMT /V5 中三个响应水平的大脑活动
作者：
T. Sousa;B. Direito;J. Lima;C. Ferreira;U. Nunes;M. Castelo‐Branco
脑-机接口(BCI)研究中的一个主要挑战是增加指挥级别和控制级别。脑机接口研究经常使用二元控制水平方法(每一类控制的大脑激活水平分别为0和1)。通常可以达到不同的等级，但对于相同的等级，不能达到不同的激活水平。BCI应用中控制级别数量的增加可能允许神经反馈应用中更高的效率。在这项工作中，我们测试了一个假设，即HMT+/V5复合体，是否可以在单个大脑区域实现两个以上的调制水平。参与者在神经反馈训练中完成了三种不同的想象任务：想象一个静止的点，想象一个点在垂直轴上有两个相反的运动，以及想象一个点在垂直或水平轴上有四个相反的运动(两个或四个运动方向的意象)。动作交替次数越多，预期的HMT+/V5反应越高。相当多的参与者(20人中的17人)成功地达到了二元控制水平，12人在同一阶段甚至能够达到3个显著的控制水平，证实了整个群体在个人水平上的效果。通过这一简单的方法，我们建议有可能设计一个基于至少3个不同水平的特定大脑区域的活动调节的参数控制系统。此外，我们还发现，基于不同运动交替次数的特定表象任务指令在脑-机接口和/或神经反馈应用中提供了不同控制水平的可行结果。
A major challenge in brain-computer interface (BCI) research is to increase the number of command classes and levels of control. BCI studies often use binary control level approaches (level 0 and 1 of brain activation for each class of control). Different classes may often be achieved but not different levels of activation for the same class. The increase in the number of levels of control in BCI applications may allow for larger efficiency in neurofeedback applications. In this work we test the hypothesis whether more than two modulation levels can be achieved in a single brain region, the hMT+/V5 complex. Participants performed three distinct imagery tasks during neurofeedback training: imagery of a stationary dot, imagery of a dot with two opposing motions in the vertical axis and imagery of a dot with four opposing motions in vertical or horizontal axes (imagery of 2 or 4 motion directions). The larger the number of motion alternations, the higher the expected hMT+/V5 response. A substantial number (17 of 20) of participants achieved successful binary level of control and 12 were able to reach even 3 significant levels of control within the same session, confirming the whole group effects at the individual level. With this simple approach we suggest that it is possible to design a parametric system of control based on activity modulation of a specific brain region with at least 3 different levels. Furthermore, we show that particular imagery task instructions, based on different number of motion alternations, provide feasible achievement of different control levels in BCI and/or neurofeedback applications.
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影响因子：
10.6
作者：
Caria, Andrea;Sitaram, Ranganatha;Birbaumer, Niels
通讯作者：
Birbaumer, Niels
影响因子：
4.8
作者：
Ruiz, Sergio;Lee, Sangkyun;Sitaram, Ranganatha
通讯作者：
Sitaram, Ranganatha
DOI：
10.1073/pnas.0505210102
发表时间：
2005-12-20
影响因子：
11.1
作者：
deCharms, RC;Maeda, F;Mackey, SC
通讯作者：
Mackey, SC
影响因子：
5.7
作者：
Sulzer J;Haller S;Scharnowski F;Weiskopf N;Birbaumer N;Blefari ML;Bruehl AB;Cohen LG;DeCharms RC;Gassert R;Goebel R;Herwig U;LaConte S;Linden D;Luft A;Seifritz E;Sitaram R
通讯作者：
Sitaram R