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<p>Despite significant progress in characterizing neocortical cell types, a complete understanding of the synaptic connections of individual excitatory cells remains elusive. This study investigates the connectivity of mouse visual cortex thick tufted layer 5 pyramidal cells, also known as extratelencephalic neurons (L5-ETns), using a 1 mm<sup>3</sup> publicly available electron microscopy dataset. The analysis reveals that, in their immediate vicinity, L5-ETns primarily establish connections with a group of inhibitory cell types, which, in turn, specifically target the L5-ETns back. The most common excitatory targets of L5-ETns are layer 5 intertelencephalic neurons (L5-ITns) and layer 6 (L6) pyramidal cells, whereas synapses with other L5-ETns are less common. When L5-ETns extend their axons to other cortical regions, they tend to connect more with excitatory cells. Our results highlight a circuit motif where a subclass of excitatory cells forms a subcircuit with specific inhibitory cell types. This is achieved using a publicly available, automated approach for synapse recognition and automated cell typing, offering a framework for exploring the connectivity of other neuron types.</p>

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The synaptic architecture of layer 5 thick tufted excitatory neurons in mouse visual cortex

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月28日

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  • Agnes L. Bodor,
  • Casey M. Schneider-Mizell,
  • Chi Zhang,
  • Leila Elabbady,
  • Alex Mallen,
  • Andi Bergeson,
  • Derrick Brittain,
  • JoAnn Buchanan,
  • Daniel J. Bumbarger,
  • Rachel Dalley,
  • Clare Gamlin,
  • Emily Joyce,
  • Daniel Kapner,
  • Sam Kinn,
  • Gayathri Mahalingam,
  • Sharmishtaa Seshamani,
  • Shelby Suckow,
  • Marc Takeno,
  • Russel Torres,
  • Wenjing Yin,
  • J. Alexander Bae,
  • Manuel A. Castro,
  • Sven Dorkenwald,
  • Akhilesh Halageri,
  • Zhen Jia,
  • Chris Jordan,
  • Nico Kemnitz,
  • Kisuk Lee,
  • Kai Li,
  • Ran Lu,
  • Thomas Macrina,
  • Eric Mitchell,
  • Shanka Subhra Mondal,
  • Shang Mu,
  • Barak Nehoran,
  • Sergiy Popovych,
  • William Silversmith,
  • Nicholas L. Turner,
  • Szi-chieh Yu,
  • William Wong,
  • Jingpeng Wu,
  • Brendan Celii,
  • Luke Campagnola,
  • Stephanie C. Seeman,
  • Tim Jarsky,
  • Naixin Ren,
  • Anton Arkhipov,
  • Jacob Reimer,
  • H. Sebastian Seung,
  • R. Clay Reid,
  • Forrest Collman,
  • Nuno Maçarico da Costa

摘要

Despite significant progress in characterizing neocortical cell types, a complete understanding of the synaptic connections of individual excitatory cells remains elusive. This study investigates the connectivity of mouse visual cortex thick tufted layer 5 pyramidal cells, also known as extratelencephalic neurons (L5-ETns), using a 1 mm3 publicly available electron microscopy dataset. The analysis reveals that, in their immediate vicinity, L5-ETns primarily establish connections with a group of inhibitory cell types, which, in turn, specifically target the L5-ETns back. The most common excitatory targets of L5-ETns are layer 5 intertelencephalic neurons (L5-ITns) and layer 6 (L6) pyramidal cells, whereas synapses with other L5-ETns are less common. When L5-ETns extend their axons to other cortical regions, they tend to connect more with excitatory cells. Our results highlight a circuit motif where a subclass of excitatory cells forms a subcircuit with specific inhibitory cell types. This is achieved using a publicly available, automated approach for synapse recognition and automated cell typing, offering a framework for exploring the connectivity of other neuron types.