Topological determinants of epileptogenesis in large-scale structural and functional models of the dentate gyrus derived from experimental data
Abstract
In temporal lobe epilepsy, changes in synaptic and intrinsic properties occur on a background of altered network architecture resulting from cell loss and axonal sprouting. Although modeling studies using idealized networks indicated the general importance of network topology in epilepsy, it is unknown whether structural changes that actually take place during epileptogenesis result in hyperexcitability. To answer this question, we built a 1:1 scale structural model of the rat dentate gyrus from published in vivo and in vitro cell type-specific connectivity data. This virtual dentate gyrus in control condition displayed globally and locally well connected ("small world") architecture. The average number of synapses between any two neurons in this network of over one million cells was less than three, similar to that measured for the orders of magnitude smaller C. elegans nervous system. To study how network architecture changes during epileptogenesis, long-distance projecting hilar cells were gradually removed in the structural model, causing massive reductions in the number of total connections. However, as long as even a few hilar cells survived, global connectivity in the network was effectively maintained and, as a result of the spatially restricted sprouting of granule cell axons, local connectivity increased. Simulations of activity in a functional dentate network model, consisting of over 50,000 multicompartmental single-cell models of major glutamatergic and GABAergic cell types, revealed that the survival of even a small fraction of hilar cells was enough to sustain networkwide hyperexcitability. These data indicate new roles for fractionally surviving long-distance projecting hilar cells observed in specimens from epilepsy patients.
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Reduced-scale models of large networks with realistic single cell electrophysiological properties remain silent unless synaptic strengths or numbers are arbitrarily increased beyond biologically relevant levels.
“smaller models of large networks with realistic single cell electrophysiological properties (e.g., input resistance and resting membrane potential) remain silent unless synaptic strengths or numbers are arbitrarily increased beyond the biologically relevant levels to compensate for fewer inputs to their model cells”
From Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit (2016) · cites this paper as Dyhrfjeld-Johnsen et al., 2007
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Self-citationYu, J., Proddutur, A., Swietek, B., Elgammal, F. S., & Santhakumar, V. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv199 · Cited by 28 · see citing works
Self-citationHendrickson, P. J., Yu, G. J., Song, D., & Berger, T. W. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00155 · Cited by 18 · see citing works
- Authors
- Dyhrfjeld-Johnsen, J., Santhakumar, V., Morgan, R. J., Huerta, R., Tsimring, L., & Soltesz, I.
- Affiliations
- University of California, Irvine (US)
- University of California San Diego (US)
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2007-02
- Volume
- 97
- Issue
- 2
- Pages
- 1566-1587
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2107566823
- Cited by
- 230
- References
- 108
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 10 · 2022: 5 · 2021: 11 · 2020: 4 · 2019: 7 · 2018: 13 · 2017: 9 · 2016: 14 · 2015: 16 · 2014: 16 · 2013: 22 · 2012: 21
- FWCI
- 9.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (NS-35915)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- epileptogenesis, temporal lobe epilepsy, dentate gyrus, network topology, small-world networks, axonal sprouting, granule cells, hyperexcitability, cell-type specific connectivity, multicompartmental neuron models
- MeSH terms
- Animals, Axons, Cytoplasmic Granules, Electric Stimulation, Epilepsy, Models, Neurological, Nerve Net, Neural Conduction, Neurons, Sclerosis, Models, Statistical, Databases, Factual, Dentate Gyrus, Mossy Fibers, Hippocampal, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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