Cited by 52Neuroscience and Neuropharmacology ResearchNeural dynamics and brain functionNeuroscience and Neural Engineering

Synaptic reorganization in scaled networks of controlled size.

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Wilson, Nathan R., Ty, Michael T., Ingber, Donald E., Sur, Mriganka, Liu, Guosong·2007·The Journal of Neuroscience

Abstract

Neurons in plastic regions of the brain undergo fundamental changes in the number of cells connecting to them as a result of development, plasticity and disease. Across these same time periods, functional changes in cellular and synaptic physiology are known to occur and are often characterized as developmental features of these periods. However, it remains possible that many such changes are direct consequences of the modified degree of partnering, and that neurons intrinsically scale their physiological parameters with network size. To systematically vary a recurrent network's number of neurons while measuring its synaptic properties, we used microfabricated extracellular matrix adhesive islands created with soft lithography to culture neuronal clusters of precise sizes, and assessed their intrinsic connectivity using intracellular recordings and confocal microscopy. Both large and small clusters supported constant densities of excitatory and inhibitory neurons. However, neurons that were provided with more potential partners (larger clusters) formed more connections per cell via an expanded dendritic surface than cocultured smaller clusters. Electrophysiologically, firing rate was preserved across clusters even as size and synapse number increased, due in part to synapses in larger networks having reduced unitary strengths, and sparser paired connectivity. Larger networks also featured a particular increase in the number of excitatory connections onto inhibitory dendrites. We suggest that these specific homeostatic mechanisms, which match the number, strength, and architecture of connections to the number of total available cellular partners in the network, could account for several known phenomena implicated in the formation, organization and degeneration of neuronal circuits.

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Crossref · 10.1523/jneurosci.3863-07.2007

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Authors
Wilson, N. R., Ty, M. T., Ingber, D. E., Sur, M., & Liu, G.
Affiliations
  • Massachusetts Institute of Technology (US)
  • Boston Children's Hospital (US)
Venue
The Journal of Neuroscience
Published
2007-12-12
Volume
27
Issue
50
Pages
13581-13589
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2030914859
Cited by
52
References
51
Citations by year
2024: 1 · 2023: 2 · 2022: 1 · 2021: 3 · 2019: 3 · 2017: 4 · 2016: 6 · 2015: 5 · 2014: 2 · 2013: 2 · 2012: 3
FWCI
1.73
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Science Foundation
  • Massachusetts Institute of Technology
  • National Natural Science Foundation of China (30630026)
  • National Institutes of Health
  • National Key Research and Development Program of China
  • National Eye Institute (EY15068, R01EY015068)
  • National Cancer Institute (CA55833, R01CA055833)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
Keywords
synaptic remodeling, network size scaling, neuroplasticity, excitatory-inhibitory connectivity, firing rate, soft lithography, neuronal clusters
MeSH terms
Animals, Cells, Cultured, Dendrites, gamma-Aminobutyric Acid, Hippocampus, Nerve Net, Neural Inhibition, Synaptic Transmission, Neurons, Synapses, Rats, Sprague-Dawley, Patch-Clamp Techniques, Cell Culture Techniques, Excitatory Postsynaptic Potentials, Rats, Calcium-Calmodulin-Dependent Protein Kinase Type 2

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