Back

Dendrite-soma interactions in cultured hippocampal neurons form non-random structural motifs with local presynaptic enrichment and strengthening

Greiner, Y.; Kurz, W.; Dray, M.; Lavi, G.; Weiss, O. E.; Baranes, D.

2026-05-15 neuroscience
10.64898/2026.05.15.725585 bioRxiv
Show abstract

Dendritic arbor morphology is shaped in part by interactions with neighboring dendrites, and its geometry strongly influences the spatial distribution and strength of synapses. These observations raise the possibility that local dendritic contacts help determine where synapses accumulate and strengthen. Previous work in cultured hippocampal neurons showed that dendrite-dendrite contact sites are non-random and associated with local synaptic clustering. Here we asked whether a different type of dendritic contact, formed between a dendrite and the soma of a neighboring neuron, behaves similarly. Using dissociated hippocampal cultures, immunofluorescence imaging, time-lapse microscopy, quantitative image analysis, stochastic spatial simulations, and minimal quantitative modeling, we identified three recurrent classes of dendrite-soma interactions (DSIs): dendrites crossing directly over a neighboring soma, growing tangentially along the soma perimeter, or contacting the proximal region where a neighboring dendrite emerges from the soma. These interactions were abundant, occurred exclusively between different neurons, and showed substantial structural persistence over several days. Their overall frequency exceeded stochastic predictions across culture densities, and two configurations - proximal and tangential contacts - were selectively enriched above random expectation, whereas soma-crossing contacts were largely consistent with stochastic overlap. DSI composition also changed over development, with proximal contacts becoming progressively more prevalent. At DSI sites, synaptophysin-positive puncta were significantly denser and more intense than on non-interacting dendritic segments, consistent with local enrichment and strengthening of presynaptic specializations. Minimal modeling further indicated that biased formation together with developmental stabilization explains the observed organization better than stochastic geometry alone. These findings identify DSIs as non-random structural motifs in cultured hippocampal networks and suggest that dendrite contact geometry can contribute to synaptic distribution and strengthening.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLOS Computational Biology
1633 papers in training set
Top 1%
17.2%
2
eLife
5422 papers in training set
Top 6%
9.9%
3
Cell Reports
1338 papers in training set
Top 4%
9.0%
4
Scientific Reports
3102 papers in training set
Top 19%
6.2%
5
iScience
1063 papers in training set
Top 2%
6.2%
6
eneuro
389 papers in training set
Top 1%
6.2%
50% of probability mass above
7
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 15%
4.8%
8
The Journal of Neuroscience
928 papers in training set
Top 3%
4.2%
9
Neuroscience
88 papers in training set
Top 0.4%
3.0%
10
Nature Communications
4913 papers in training set
Top 48%
2.0%
11
Current Biology
596 papers in training set
Top 8%
2.0%
12
Progress in Neurobiology
41 papers in training set
Top 0.5%
2.0%
13
Frontiers in Neural Circuits
36 papers in training set
Top 0.2%
1.7%
14
Molecular Biology of the Cell
272 papers in training set
Top 1%
1.7%
15
Frontiers in Computational Neuroscience
53 papers in training set
Top 1%
1.3%
16
Hippocampus
46 papers in training set
Top 0.3%
1.2%
17
Frontiers in Cellular Neuroscience
79 papers in training set
Top 1.0%
0.9%
18
Development
440 papers in training set
Top 3%
0.9%
19
Cerebral Cortex
357 papers in training set
Top 2%
0.8%
20
PLOS ONE
4510 papers in training set
Top 66%
0.8%
21
Biomolecules
95 papers in training set
Top 2%
0.8%
22
Neuron
282 papers in training set
Top 9%
0.7%
23
Developmental Cell
168 papers in training set
Top 12%
0.7%
24
Network Neuroscience
116 papers in training set
Top 1%
0.7%
25
Glia
74 papers in training set
Top 0.6%
0.7%
26
Journal of Cell Biology
333 papers in training set
Top 5%
0.7%
27
Open Biology
95 papers in training set
Top 3%
0.6%
28
Science Advances
1098 papers in training set
Top 34%
0.6%
29
Nature Neuroscience
216 papers in training set
Top 7%
0.6%
30
Communications Biology
886 papers in training set
Top 30%
0.6%