Takemura Shin-ya
Janelia Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 20147, USA
Microscopy (Oxf). 2015 Feb;64(1):37-44. doi: 10.1093/jmicro/dfu102. Epub 2014 Dec 17.
Recent powerful tools for reconstructing connectomes using electron microscopy (EM) have made outstanding contributions to the field of neuroscience. As a prime example, the detection of visual motion is a classic problem of neural computation, yet our understanding of the exact mechanism has been frustrated by our incomplete knowledge of the relevant neurons and synapses. Recent connectomic studies have successfully identified the concrete neuronal circuit in the fly's visual system that computes the motion signals. This identification was greatly aided by the comprehensiveness of the EM reconstruction. Compared with light microscopy, which gives estimated connections from arbor overlap, EM gives unequivocal connections with precise synaptic counts. This paper reviews the recent study of connectomics in a brain of the fruit fly Drosophila and highlights how connectomes can provide a foundation for understanding the mechanism of neuronal functions by identifying the underlying neural circuits.
近期,利用电子显微镜(EM)重建连接组的强大工具为神经科学领域做出了杰出贡献。一个典型的例子是,视觉运动检测是神经计算的经典问题,但由于我们对相关神经元和突触的了解不完整,对确切机制的理解一直受阻。最近的连接组学研究成功地在果蝇视觉系统中识别出了计算运动信号的具体神经元回路。电子显微镜重建的全面性极大地帮助了这一识别过程。与通过树突重叠给出估计连接的光学显微镜相比,电子显微镜能给出明确的连接以及精确的突触计数。本文回顾了近期对果蝇大脑连接组学的研究,并强调了连接组如何通过识别潜在的神经回路为理解神经元功能机制提供基础。