演題詳細
Symposium
大脳新皮質神経回路解明への最前線
Cutting edge approaches to the architectures of cortical circuits
開催日 | 2014/9/12 |
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時間 | 15:00 - 17:00 |
会場 | Room B(501) |
Chairperson(s) | 大木 研一 / Kenichi Ohki (九州大学大学院医学研究院 / Department of Molecular Physiology, Graduate School of Medical Sciences, Kyushu University, Japan) 細谷 俊彦 / Toshihiko Hosoya (理化学研究所 脳科学総合研究センター / RIKEN Brain Science Institute, Japan) |
大脳新皮質深層の基本構造
Canonical organization of a deep cortical layer
- S2-B-2-4
- 細谷 俊彦 / Toshihiko Hosoya:1
- 1:理化学研究所 / RIKEN Brain Science Institute, Japan
One of the major features of the neocortex is the uniform organization. The six-layered structure is similar across and within cortical areas, raising the possibility that the cortical circuit is composed of repeats of homologous elementary circuits, or canonical circuits.
We have previously reported that mouse subcerebral projection neurons (SCPNs), layer 5 excitatory neurons innervating subcortical targets, are aligned radially to form columnar clusters with a radius of 1-2 somal diameters. These microcolumns are located periodically in the tangential orientation constituting a two-dimensional mosaic organization. Microcolumns of SCPNs have been found in all cortical areas investigated including the somatosensory and visual areas, and also in other mammalian species including humans.
We further found that in the developing neocortex, gap junctions specifically couple radially aligned SCPNs. This gap junctional coupling synchronizes firing activities of coupled SCPNs, and therefore likely organizes circuit formation in an activity dependent manner. Indeed, our data suggest that SCPNs in the same microcolumn specifically receive strong common synaptic inputs. Furthermore, in the mouse visual area, SCPNs in the same microcolumns showed similar neuronal activities in response to visual stimulation, suggesting that they have related functions.
These results suggest that the SCPN microcolumn is an evolutionally conserved canonical organization in layer 5. Possible roles of microcolumns in cortical information processing will be discussed.