Adaptive movable neural interfaces for monitoring single neurons in the brain.

Adaptive movable neural interfaces for monitoring single neurons in the brain.
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DOI:
10.3389/fnins.2011.00094
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发表时间:
2011
影响因子:
4.3
通讯作者:
Sridharan A
Sridharan A
中科院分区:
医学2区
文献类型:
--
作者:
Muthuswamy J;Anand S;Sridharan A

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目前用于监测活体脑内神经元活动的植入式微电极在急性和慢性实验中都有严重的局限性。可移动微电极可以调整其在大脑中的位置,以最大限度地提高神经元记录的质量,已被建议并尝试作为一种潜在的解决方案,以克服目前固定的可植入微电极的挑战。尽管到目前为止的结果表明,可移动微电极改善了活体大脑神经元记录的质量和稳定性,但制造这些可移动微电极所涉及的技术的笨重性质限制了这些可植入设备的吞吐量(在任何给定时间可以记录的神经元数量)。涉及使用微型电机和电极的新兴技术有望克服这一限制。该综述总结了利用微尺度技术开发可移动神经接口的一些最新努力,这些技术可以根据神经元记录质量的变化来调整其位置。突出了我们对大脑-电极接口理解中的主要差距。这些领域的新发现将导致成功开发与单个神经元的可靠和稳定的接口,这将影响基本的神经生理学研究和新兴的皮质假体技术。
Implantable microelectrodes that are currently used to monitor neuronal activity in the brain in vivo have serious limitations both in acute and chronic experiments. Movable microelectrodes that adapt their position in the brain to maximize the quality of neuronal recording have been suggested and tried as a potential solution to overcome the challenges with the current fixed implantable microelectrodes. While the results so far suggest that movable microelectrodes improve the quality and stability of neuronal recordings from the brain in vivo, the bulky nature of the technologies involved in making these movable microelectrodes limits the throughput (number of neurons that can be recorded from at any given time) of these implantable devices. Emerging technologies involving the use of microscale motors and electrodes promise to overcome this limitation. This review summarizes some of the most recent efforts in developing movable neural interfaces using microscale technologies that adapt their position in response to changes in the quality of the neuronal recordings. Key gaps in our understanding of the brain–electrode interface are highlighted. Emerging discoveries in these areas will lead to success in the development of a reliable and stable interface with single neurons that will impact basic neurophysiological studies and emerging cortical prosthetic technologies.
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