Non-invasive brain-to-brain interface (BBI): establishing functional links between two brains.
Non-invasive brain-to-brain interface (BBI): establishing functional links between two brains.
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DOI：
10.1371/journal.pone.0060410
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Park S
中科院分区：
文献类型：
--
作者：
Yoo SS;Kim H;Filandrianos E;Taghados SJ;Park S
经颅聚焦超声（FUS）能够调节特定大脑区域的神经活动，具有作为非侵入性计算机-大脑接口（CBI）的潜在作用。结合使用脑-机接口（BCI）技术，将大脑功能转换为生成计算机命令，我们研究了使用基于FUS的CBI非侵入性地建立不同物种（即人类和Sprague-Dawley大鼠）大脑之间的功能联系，从而创建脑-脑接口（BBI）的可行性。该实施旨在非侵入性地翻译人类志愿者的意图，以刺激负责尾部运动的大鼠大脑运动区。志愿者通过观看计算机显示器上的闪光灯闪烁来启动意图，并且使用计算机分析脑电图稳态视觉诱发电位（SSVEP）相对于闪光频率的同步程度。SSVEP中的信号幅度增加，表明志愿者的意图，触发了突发模式FUS（350 kHz超声频率，0.5 ms的短纯音持续时间，1 kHz的脉冲重复频率，持续300 msec）的递送，以经颅激发麻醉大鼠的运动区。成功的兴奋随后引起了尾部运动，这是由运动传感器检测到的。该界面的准确度为94.0±3.0%，从思维启动到产生尾部运动的时间延迟为1.59±1.07秒。我们的研究结果表明，计算机介导的BBI的可行性，连接两个生物实体之间的中枢神经功能，这可能会赋予未开发的机会，在神经科学的研究与治疗应用的潜在影响。
Transcranial focused ultrasound (FUS) is capable of modulating the neural activity of specific brain regions, with a potential role as a non-invasive computer-to-brain interface (CBI). In conjunction with the use of brain-to-computer interface (BCI) techniques that translate brain function to generate computer commands, we investigated the feasibility of using the FUS-based CBI to non-invasively establish a functional link between the brains of different species (i.e. human and Sprague-Dawley rat), thus creating a brain-to-brain interface (BBI). The implementation was aimed to non-invasively translate the human volunteer’s intention to stimulate a rat’s brain motor area that is responsible for the tail movement. The volunteer initiated the intention by looking at a strobe light flicker on a computer display, and the degree of synchronization in the electroencephalographic steady-state-visual-evoked-potentials (SSVEP) with respect to the strobe frequency was analyzed using a computer. Increased signal amplitude in the SSVEP, indicating the volunteer’s intention, triggered the delivery of a burst-mode FUS (350 kHz ultrasound frequency, tone burst duration of 0.5 ms, pulse repetition frequency of 1 kHz, given for 300 msec duration) to excite the motor area of an anesthetized rat transcranially. The successful excitation subsequently elicited the tail movement, which was detected by a motion sensor. The interface was achieved at 94.0±3.0% accuracy, with a time delay of 1.59±1.07 sec from the thought-initiation to the creation of the tail movement. Our results demonstrate the feasibility of a computer-mediated BBI that links central neural functions between two biological entities, which may confer unexplored opportunities in the study of neuroscience with potential implications for therapeutic applications.
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DOI：
10.1109/tnsre.2009.2039495
发表时间：
2010-04-01
影响因子：
4.9
作者：
Allison, Brendan;Lueth, Thorsten;Graeser, Axel
通讯作者：
Graeser, Axel
影响因子：
--
作者：
Pelli, DG
通讯作者：
Pelli, DG
影响因子：
4.7
作者：
Galan, F.;Nuttin, M.;Millan, J. del R.
通讯作者：
Millan, J. del R.
影响因子：
4.3
作者：
Guger C;Allison BZ;Großwindhager B;Prückl R;Hintermüller C;Kapeller C;Bruckner M;Krausz G;Edlinger G
通讯作者：
Edlinger G
影响因子：
4.1
作者：
Linden, RD;Zhang, YP;Shields, CB
通讯作者：
Shields, CB