基于实时功能磁共振成像（fMRI）的脑机接口（BCI）原理。
Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI).
作者信息
Weiskopf Nikolaus, Mathiak Klaus, Bock Simon W, Scharnowski Frank, Veit Ralf, Grodd Wolfgang, Goebel Rainer, Birbaumer Niels
机构信息
Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany.
出版信息
IEEE Trans Biomed Eng. 2004 Jun;51(6):966-70. doi: 10.1109/TBME.2004.827063.
A brain-computer interface (BCI) based on functional magnetic resonance imaging (fMRI) records noninvasively activity of the entire brain with a high spatial resolution. We present a fMRI-based BCI which performs data processing and feedback of the hemodynamic brain activity within 1.3 s. Using this technique, differential feedback and self-regulation is feasible as exemplified by the supplementary motor area (SMA) and parahippocampal place area (PPA). Technical and experimental aspects are discussed with respect to neurofeedback. The methodology now allows for studying behavioral effects and strategies of local self-regulation in healthy and diseased subjects.
基于功能磁共振成像（fMRI）的脑机接口（BCI）能够以高空间分辨率无创记录全脑活动。我们展示了一种基于fMRI的BCI，它能在1.3秒内完成血液动力学脑活动的数据处理及反馈。利用该技术，如辅助运动区（SMA）和海马旁回位置区（PPA）所示，差分反馈和自我调节是可行的。针对神经反馈讨论了技术和实验方面的内容。该方法现在可用于研究健康和患病受试者的行为效应及局部自我调节策略。
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