Changes in synaptic density after developmental compression or expansion of retinal input to the superior colliculus.
Changes in synaptic density after developmental compression or expansion of retinal input to the superior colliculus.
复制标题
发育压缩或视网膜输入扩张至上丘后突触密度的变化。
DOI:
10.1002/cne.903300402
复制
发表时间:
1993
期刊:
影响因子:
--
通讯作者:
Finlay,BL
中科院分区:
文献类型:
--
作者:
Xiong,M;Finlay,BL
The retinal projection to the superior colliculus can be made abnormally dense by inducing a “compressed” retinal projection into a subnormal tectal volume, or abnormally spares by monocular enucleation early in development. Any or all of the features of cell number, axonal arbor, dendritic arbor, and synaptic density could potentially be adjusted to compensate for such variations in the convergence of one cell population on another. We have examined the consequences of neonatal partial tectal ablation or monocular enucleation for synaptic length, density, and relative numbers of synapse classes in the superficial gray layer of the hamster superior colliculus.Monocular enucleation resulted in a reduction of synaptic density in the superficial gray layer of the colliculus ipsilateral to the remaining eye. This decrease in density was entirely accounted for by a reduction of the number of synapses with round vesicles, large asymmetric terminal specializations, and pale mitochondria characteristic of retinocollicular terminals (RLP synapses). There was no compensatory increase in any other synaptic class. RLP synapses were larger in monocular enucleates.Partial tectal ablation had no effect on synaptic density, nor on the relative proportions of different synaptic types. Synapses of the RLP class were slightly smaller than normal. These results suggest that synaptic density is normally at a maximum that cannot be altered by increases in potential input. However, density may be reduced by decreasing the number of inputs. Terminal classes do not appear to compete with each other within the collicular volume, suggesting that postsynaptic cells control both the classes and numbers of their potential inputs.