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Journal of Computational Neuroscience

Erschienen in:

01.12.2010

Computational modeling of GABA_A receptor-mediated paired-pulse inhibition in the dentate gyrus

verfasst von: Peter Jedlicka, Thomas Deller, Stephan W. Schwarzacher

Erschienen in: Journal of Computational Neuroscience | Ausgabe 3/2010

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Abstract

Paired-pulse inhibition (PPI) of the population spike observed in extracellular field recordings is widely used as a read-out of hippocampal network inhibition. PPI reflects GABA_A receptor-mediated inhibition of principal neurons through local interneurons. However, because of its polysynaptic nature, it is difficult to assign PPI changes to precise synaptic mechanisms. Here we used a detailed network model of the dentate gyrus to simulate PPI of granule cell action potentials and analyze its network properties. Our computational analysis indicates that PPI results mainly from a combination of perisomatic feed-forward and feedback inhibition of granule cells by basket cells. Feed-forward inhibition mediated by basket cells appeared to be the most significant source of PPI. Our simulations suggest that PPI depends more on somatic than on dendritic inhibition of granule cells. Furthermore, PPI was modulated by changes in GABA_A reversal potential (E_GABA) and by alterations in intrinsic excitability of granule cells. In summary, computer modeling provides a useful tool for determining the role of synaptic and intrinsic cellular mechanisms in paired-pulse field potential responses.

Vorheriger Artikel LFP spectral peaks in V1 cortex: network resonance and cortico-cortical feedback

Nächster Artikel Spatial coherence and stationarity of local field potentials in an isolated whole hippocampal preparation in vitro

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Titel: Computational modeling of GABAA receptor-mediated paired-pulse inhibition in the dentate gyrus
verfasst von: Peter Jedlicka
Thomas Deller
Stephan W. Schwarzacher
Publikationsdatum: 01.12.2010
Verlag: Springer US
Erschienen in: Journal of Computational Neuroscience / Ausgabe 3/2010
Print ISSN: 0929-5313
Elektronische ISSN: 1573-6873
DOI: https://doi.org/10.1007/s10827-010-0214-y

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