Experiment on control of decision-making abilities in prefrontal cortex
Experiment on control of decision-making abilities in prefrontal cortex
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DOI：
10.1109/iccie.2010.5668443
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发表时间：
2010-07
期刊：
影响因子：
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通讯作者：
Shinya Takano;T. Shimokawa;T. Misawa;S. Hirobayashi
中科院分区：
文献类型：
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作者：
Shinya Takano;T. Shimokawa;T. Misawa;S. Hirobayashi
近年来，功能性神经影像技术的发展有助于更清楚地了解大脑中的激活部位。该技术应用于脑机接口（BCI）。以前的脑机接口主要使用与运动系统相关的大脑活动信息。在这项研究中，我们研究了控制前额皮质决策能力的可能性，并因此开发了一个试验性脑机接口。在这个实验中，向受试者展示两张图像；受试者选择这些图像之一，然后脑机接口根据他/她的大脑信息确定受试者选择的图像。该系统用于使用 fNIRS 测量大脑活动并实时获取数据。它使用低通滤波器对这些数据进行预处理；使用支持向量机作为学习模型。目前的实验结果表明，本研究中开发的试验 BCI 不太准确；然而，fNIRS 的无线和轻型版本正在开发中。当前实验的结果表明，通过在大脑特定部位进行测量可以实现 BCI 的有效性能。这些结果表明，开发BCI来控制轻型无线设备的决策能力是可能的。
In recent years, developments in functional neuroimaging technologies have helped facilitate a clearer understanding of the activation of sites in the brain. This technology is applied to brain-computer interfaces (BCIs). Previous BCIs have primarily used information on the brain activity related to the motor system. In this study, we examined the possibility of controlling the decision-making abilities in the prefrontal cortex and consequently developed a trial BCI. In this experiment, the subject is shown two images; the subject selects one of these images and then the BCI determines the image that the subject selects on the basis of his/her brain information. This system is used to measure brain activity using fNIRS and to acquire data in real time. It preprocesses these data with a low-pass filter; the support vector machine is used as a learning model. Results of the current experiment indicate that the trial BCI developed in this study is not very accurate; however, wireless and lightweight versions of fNIRS are being developed. Results of the current experiment indicate that effective performance of the BCI can be achieved by measurements at specific sites of the brain. These results show that it is possible to develop a BCI for controlling decision-making abilities with lightweight and wireless equipment.