Asymmetries in the Architecture of ON and OFF Arbors in ON–OFF Direction-Selective Ganglion Cells

IF 2.3 4区 医学 Q3 NEUROSCIENCES Journal of Comparative Neurology Pub Date : 2025-01-27 DOI:10.1002/cne.70023
Sheba Annie Philip, Narendra Pratap Singh, Saranya Viswanathan, Priyanka Parida, Santhosh Sethuramanujam
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Abstract

Direction selectivity is a fundamental feature in the visual system. In the retina, direction selectivity is independently computed by ON and OFF circuits. However, the advantages of extracting directional information from these two independent circuits are unclear. To gain insights, we examined the ON–OFF direction-selective ganglion cells (DSGCs), which recombine signals from both circuits. Specifically, we investigated the dendritic architecture of these neurons with the premise that asymmetries in architecture will provide insights into function. Scrutinizing the dendrites of dye-filled ON–OFF DSGCs reveals that the OFF arbors of these neurons are substantially denser. The increase in density can be primarily attributed to the higher branching seen in OFF arbors. Further, analysis of ON–OFF DSGCs in a previously published serial block-face electron microscopy dataset revealed that the denser OFF arbors packed more bipolar synapses per unit dendritic length. These asymmetries in the dendritic architecture suggest that the ON–OFF DSGC preferentially magnifies the synaptic drive of the OFF pathway, potentially allowing it to encode information distinct from the ON pathway.

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ON-OFF方向选择性神经节细胞中 "ON "和 "OFF "枢轴结构的不对称性
方向选择性是视觉系统的一个基本特征。在视网膜中,方向选择性由 ON 和 OFF 电路独立计算。然而,从这两个独立回路中提取方向信息的优势尚不清楚。为了深入了解这一现象,我们研究了ON-OFF方向选择性神经节细胞(DSGCs),它们重新组合了来自两个回路的信号。具体来说,我们研究了这些神经元的树突结构,前提是结构的不对称性将有助于深入了解其功能。通过仔细观察充满染料的 ON-OFF DSGCs 树突,我们发现这些神经元的 OFF 轴密度大大增加。密度增加的主要原因是关闭轴出现了更高的分支。此外,对先前发表的序列块面电子显微镜数据集中的 ON-OFF DSGCs 的分析表明,密度更高的 OFF 轴在单位树突长度上包含更多的双极突触。树突结构的这些不对称性表明,ON-OFF DSGC优先放大了OFF通路的突触驱动力,有可能使其编码不同于ON通路的信息。
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来源期刊
CiteScore
5.80
自引率
8.00%
发文量
158
审稿时长
3-6 weeks
期刊介绍: Established in 1891, JCN is the oldest continually published basic neuroscience journal. Historically, as the name suggests, the journal focused on a comparison among species to uncover the intricacies of how the brain functions. In modern times, this research is called systems neuroscience where animal models are used to mimic core cognitive processes with the ultimate goal of understanding neural circuits and connections that give rise to behavioral patterns and different neural states. Research published in JCN covers all species from invertebrates to humans, and the reports inform the readers about the function and organization of nervous systems in species with an emphasis on the way that species adaptations inform about the function or organization of the nervous systems, rather than on their evolution per se. JCN publishes primary research articles and critical commentaries and review-type articles offering expert insight in to cutting edge research in the field of systems neuroscience; a complete list of contribution types is given in the Author Guidelines. For primary research contributions, only full-length investigative reports are desired; the journal does not accept short communications.
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