Institute of Medical Psychology and Behavioral Neurobiology, Eberhard-Karls-University of Tübingen, 72074 Tübingen,Germany.
Comput Intell Neurosci. 2007;2007:25487. doi: 10.1155/2007/25487.
Brain-computer interfaces based on functional magnetic resonance imaging (fMRI-BCI) allow volitional control of anatomically specific regions of the brain. Technological advancement in higher field MRI scanners, fast data acquisition sequences, preprocessing algorithms, and robust statistical analysis are anticipated to make fMRI-BCI more widely available and applicable. This noninvasive technique could potentially complement the traditional neuroscientific experimental methods by varying the activity of the neural substrates of a region of interest as an independent variable to study its effects on behavior. If the neurobiological basis of a disorder (e.g., chronic pain, motor diseases, psychopathy, social phobia, depression) is known in terms of abnormal activity in certain regions of the brain, fMRI-BCI can be targeted to modify activity in those regions with high specificity for treatment. In this paper, we review recent results of the application of fMRI-BCI to neuroscientific research and psychophysiological treatment.
基于功能磁共振成像（fMRI-BCI）的脑-机接口允许对大脑的解剖学特定区域进行随意控制。高场 MRI 扫描仪、快速数据采集序列、预处理算法和稳健的统计分析方面的技术进步，有望使 fMRI-BCI 更广泛地可用和适用。这种非侵入性技术可以通过将感兴趣区域的神经基质的活动作为独立变量来改变其活动，从而补充传统的神经科学实验方法，以研究其对行为的影响。如果某种障碍（例如慢性疼痛、运动疾病、精神变态、社交恐惧症、抑郁症）的神经生物学基础表现为大脑特定区域的异常活动，那么可以针对 fMRI-BCI 进行靶向治疗，以高度特异性地改变这些区域的活动。本文综述了 fMRI-BCI 在神经科学研究和心理生理治疗中的最新应用结果。
