Literature DB >> 17093119

Topological determinants of epileptogenesis in large-scale structural and functional models of the dentate gyrus derived from experimental data.

Jonas Dyhrfjeld-Johnsen1, Vijayalakshmi Santhakumar, Robert J Morgan, Ramon Huerta, Lev Tsimring, Ivan Soltesz.   

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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Year:  2006        PMID: 17093119     DOI: 10.1152/jn.00950.2006

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  91 in total

1.  Epileptic seizures from abnormal networks: why some seizures defy predictability.

Authors:  William S Anderson; Feraz Azhar; Pawel Kudela; Gregory K Bergey; Piotr J Franaszczuk
Journal:  Epilepsy Res       Date:  2011-12-12       Impact factor: 3.045

2.  Network recruitment to coherent oscillations in a hippocampal computer model.

Authors:  William C Stacey; Abba Krieger; Brian Litt
Journal:  J Neurophysiol       Date:  2011-01-27       Impact factor: 2.714

3.  Interictal spikes precede ictal discharges in an organotypic hippocampal slice culture model of epileptogenesis.

Authors:  J Dyhrfjeld-Johnsen; Y Berdichevsky; W Swiercz; H Sabolek; K J Staley
Journal:  J Clin Neurophysiol       Date:  2010-12       Impact factor: 2.177

4.  Functional Reduction in Cannabinoid-Sensitive Heterotypic Inhibition of Dentate Basket Cells in Epilepsy: Impact on Network Rhythms.

Authors:  Jiandong Yu; Archana Proddutur; Bogumila Swietek; Fatima S Elgammal; Vijayalakshmi Santhakumar
Journal:  Cereb Cortex       Date:  2015-09-22       Impact factor: 5.357

5.  SenseLab: new developments in disseminating neuroscience information.

Authors:  Chiquito J Crasto; Luis N Marenco; Nian Liu; Thomas M Morse; Kei-Hoi Cheung; Peter C Lai; Gautam Bahl; Peter Masiar; Hugo Y K Lam; Ernest Lim; Huajin Chen; Prakash Nadkarni; Michele Migliore; Perry L Miller; Gordon M Shepherd
Journal:  Brief Bioinform       Date:  2007-05-17       Impact factor: 11.622

6.  Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies.

Authors:  Katsunori Kitano; Tomoki Fukai
Journal:  J Comput Neurosci       Date:  2007-04-06       Impact factor: 1.621

Review 7.  Computational modeling of epilepsy for an experimental neurologist.

Authors:  Abbey B Holt; Theoden I Netoff
Journal:  Exp Neurol       Date:  2012-05-14       Impact factor: 5.330

8.  Status epilepticus enhances tonic GABA currents and depolarizes GABA reversal potential in dentate fast-spiking basket cells.

Authors:  Jiandong Yu; Archana Proddutur; Fatima S Elgammal; Takahiro Ito; Vijayalakshmi Santhakumar
Journal:  J Neurophysiol       Date:  2013-01-16       Impact factor: 2.714

9.  Toll-like receptor 4 enhancement of non-NMDA synaptic currents increases dentate excitability after brain injury.

Authors:  Ying Li; Akshata A Korgaonkar; Bogumila Swietek; Jianfeng Wang; Fatima S Elgammal; Stella Elkabes; Vijayalakshmi Santhakumar
Journal:  Neurobiol Dis       Date:  2014-12-08       Impact factor: 5.996

10.  Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex.

Authors:  Samuel A Neymotin; George L Chadderdon; Cliff C Kerr; Joseph T Francis; William W Lytton
Journal:  Neural Comput       Date:  2013-09-18       Impact factor: 2.026

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