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Non-homogenous axonal bouton distribution in whole-brain single-cell neuronal networks.
Qian, Penghao; Manubens-Gil, Linus; Jiang, Shengdian; Peng, Hanchuan.
Afiliación
  • Qian P; New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, State Key Laboratory of Digital Medical Engineering, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu 210096, China; School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu 210096, Chin
  • Manubens-Gil L; New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, State Key Laboratory of Digital Medical Engineering, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu 210096, China. Electronic address: linusmg@seu.edu.cn.
  • Jiang S; New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, State Key Laboratory of Digital Medical Engineering, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu 210096, China; School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu 210096, Chin
  • Peng H; New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, State Key Laboratory of Digital Medical Engineering, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu 210096, China. Electronic address: h@braintell.org.
Cell Rep ; 43(3): 113871, 2024 Mar 26.
Article en En | MEDLINE | ID: mdl-38451816
ABSTRACT
We examined the distribution of pre-synaptic contacts in axons of mouse neurons and constructed whole-brain single-cell neuronal networks using an extensive dataset of 1,891 fully reconstructed neurons. We found that bouton locations were not homogeneous throughout the axon and among brain regions. As our algorithm was able to generate whole-brain single-cell connectivity matrices from full morphology reconstruction datasets, we further found that non-homogeneous bouton locations have a significant impact on network wiring, including degree distribution, triad census, and community structure. By perturbing neuronal morphology, we further explored the link between anatomical details and network topology. In our in silico exploration, we found that dendritic and axonal tree span would have the greatest impact on network wiring, followed by synaptic contact deletion. Our results suggest that neuroanatomical details must be carefully addressed in studies of whole-brain networks at the single-cell level.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Axones / Neuronas Límite: Animals Idioma: En Revista: Cell Rep Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Axones / Neuronas Límite: Animals Idioma: En Revista: Cell Rep Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos