迈向大规模、基于人类的介观神经技术。
Towards large-scale, human-based, mesoscopic neurotechnologies.
作者信息
Chang Edward F
机构信息
Department of Neurological Surgery and Department of Physiology, University of California, San Francisco, 675 Nelson Rising Lane, Room 511, San Francisco, CA 94158, USA.
出版信息
Neuron. 2015 Apr 8;86(1):68-78. doi: 10.1016/j.neuron.2015.03.037.
Direct human brain recordings have transformed the scope of neuroscience in the past decade. Progress has relied upon currently available neurophysiological approaches in the context of patients undergoing neurosurgical procedures for medical treatment. While this setting has provided precious opportunities for scientific research, it also has presented significant constraints on the development of new neurotechnologies. A major challenge now is how to achieve high-resolution spatiotemporal neural recordings at a large scale. By narrowing the gap between current approaches, new directions tailored to the mesoscopic (intermediate) scale of resolution may overcome the barriers towards safe and reliable human-based neurotechnology development, with major implications for advancing both basic research and clinical translation.
在过去十年中,直接人脑记录改变了神经科学的研究范围。进展依赖于目前可用的神经生理学方法,这些方法应用于因医疗目的而接受神经外科手术的患者。虽然这种情况为科学研究提供了宝贵机会,但也对新神经技术的发展带来了重大限制。现在的一个主要挑战是如何大规模地实现高分辨率的时空神经记录。通过缩小现有方法之间的差距,针对介观(中等)分辨率尺度量身定制的新方向可能会克服安全可靠的基于人类的神经技术发展的障碍,这对推进基础研究和临床转化都具有重要意义。
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