ArticleCommunications biology2024
Tracing nerve fibers with volume electron microscopy to quantitatively analyze brain connectivity.
Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Mouse and human striatal projection neurons compared - somatodendritic arbor, spines and in silico analyses.PLoS computational biology · 2025Article
- Traditions of Excellence: neuroanatomy at the forefront of the new era.Anatomical science international · 2025Review
- A Proton Magnetic Resonance Spectroscopy (International journal of molecular sciences · 2025Article
- Ultrafast endocytosis in mouse cortical inhibitory synapses.bioRxiv : the preprint server for biology · 2025Article
- Neuronal diversity and stereotypy at multiple scales through whole brain morphometry.Nature communications · 2024Article
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Authors and funding
6 authors.
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Abstract
The highly complex structure of the brain requires an approach that can unravel its connectivity. Using volume electron microscopy and a dedicated software we can trace and measure all nerve fibers present within different samples of brain tissue. With this software tool, individual dendrites and axons are traced, obtaining a simplified "skeleton" of each fiber, which is linked to its corresponding synaptic contacts. The result is an intricate meshwork of axons and dendrites interconnected by a cloud of synaptic junctions. To test this methodology, we apply it to the stratum radiatum of the hippocampus and layers 1 and 3 of the somatosensory cortex of the mouse. We find that nerve fibers are densely packed in the neuropil, reaching up to 9 kilometers per cubic mm. We obtain the number of synapses, the number and lengths of dendrites and axons, the linear densities of synapses established by dendrites and axons, and their location on dendritic spines and shafts. The quantitative data obtained through this method enable us to identify subtle traits and differences in the synaptic organization of the samples, which might have been overlooked in a qualitative analysis.
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