Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks
Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks
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DOI：
10.1016/j.biopsycho.2013.04.010
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发表时间：
2014-01-01
影响因子：
2.6
通讯作者：
Sitaram, Ranganatha
中科院分区：
文献类型：
--
作者：
Ruiz, Sergio;Buyukturkoglu, Korhan;Sitaram, Ranganatha
随着基于实时功能磁共振成像（rtfMRI-BCI）的脑计算机接口的出现，基于脑血流动力学进行神经反馈的可能性已经成为现实。在这一领域发展的早期阶段，研究集中在有限的大脑区域的活动的意志控制。然而，基于对大脑通过空间分布区域的协调活动来发挥功能的理解，最近已经有了进一步的发展，以结合功能连接性的实时反馈和大脑活动的时空模式。本文就rtfMRI神经反馈的原理、应用、优点和局限性作一综述。一个特别强调的是讨论新的发展，使使用这种方法来实现自我调节的功能之间的连接不同的大脑区域和分布式大脑网络，预期新的和令人兴奋的应用认知神经科学和神经精神疾病的潜在缓解。(C)2013年爱思唯尔B。版权所有© 2016
With the advent of brain computer interfaces based on real-time fMRI (rtfMRI-BCI), the possibility of performing neurofeedback based on brain hemodynamics has become a reality. In the early stage of the development of this field, studies have focused on the volitional control of activity in circumscribed brain regions. However, based on the understanding that the brain functions by coordinated activity of spatially distributed regions, there have recently been further developments to incorporate real-time feedback of functional connectivity and spatio-temporal patterns of brain activity. The present article reviews the principles of rtfMRI neurofeedback, its applications, benefits and limitations. A special emphasis is given to the discussion of novel developments that have enabled the use of this methodology to achieve self-regulation of the functional connectivity between different brain areas and of distributed brain networks, anticipating new and exciting applications for cognitive neuroscience and for the potential alleviation of neuropsychiatric disorders. (C) 2013 Elsevier B. V. All rights reserved.