Skip to content

Advertisement

  • Poster presentation
  • Open Access

Effect of cortex inactivation on spontaneous activity of cells in perigeniculate and dorsal lateral geniculate nuclei

  • 1Email author,
  • 1,
  • 1 and
  • 1
BMC Neuroscience201314 (Suppl 1) :P418

https://doi.org/10.1186/1471-2202-14-S1-P418

  • Published:

Keywords

  • Firing Rate
  • Cortical Area
  • Spontaneous Activity
  • Spike Train
  • Single Neuron

The cortical influence on spontaneous activity of single neurons in the dorsal lateral geniculate (LGN) and perigeniculate (PGN) nuclei were investigated in awake cats by means of reversible cooling of cortical areas 17 and 18 [1]. We analyzed subtle changes of the statistical properties of spike trains. To understand their nature we investigated statistics of firing rate (FR), mean inter-spike interval (ISI), bursting rate (BR), mean intra-burst inter-spike interval (IBISI), mean number of spikes per burst (SPB) and mean burst duration (BD)[2, 3].

These results indicate that recurrent inhibition from PGN may play a homeostatic role in the cortico-thalamic loop by restricting thalamic oscillations within their natural functional range [4]. The buffering role of PGN may explain why the massive, direct cortical projection to LGN neurons induces only small, highly-tuned effects during spontaneous activity.

The BR, FR and IBISI measures of spontaneous activity of PGN cells as a result of cortex cooling increased more than 50% of their original values and more than 20% for SPB while the changes of LGN activity were below 20% for all measures except ISI, which was the only case where the changes were larger in LGN than in the PGN cells (Figure 1A). The changes of values taken by all the measures used to quantify activity of LGN (except mean ISI) were statistically significant for less than 30% of investigated neurons, in the case of PGN all the changes except for BD were significant for more than 40% of neurons (Figure 1B).
Figure 1
Figure 1

Effect of cortex cooling on activity of PGN and LGN cells. A. Percent of change in relation to situation when the cortex was active. B. Percent of significant differences (p < 0.05). IBISI - intra burst ISI, SPB - spikes per burst, BD - burst duration, ISI - mean ISI, FR - firing rate, BR - bursting rate.

Authors’ Affiliations

(1)
Department of Neurophysiology, Nencki Institute of Experimental Biology, Warszawa, 02-093, Poland

References

  1. Waleszczyk WJ, Bekisz M, Wróbel A: Cortical modulation of neuronal activity in the cat's lateral geniculate and perigeniculate nuclei. Experimental Neurology. 2005, 196: 54-72. 10.1016/j.expneurol.2005.07.006.View ArticlePubMedGoogle Scholar
  2. Selinger JV, Kulagina NV, O'Shaughnessy TJ, Ma W, Pancrazio JJ: Methods for characterizing interspike intervals and identifying bursts in neuronal activity. Journal of Neuroscience Methods. 2007, 162: 64-71. 10.1016/j.jneumeth.2006.12.003.View ArticlePubMedGoogle Scholar
  3. Pasquale V, Martinoia S, Chiappalone M: A self-adapting approach for the detection of bursts and network bursts in neuronal cultures. J Comput Neurosci. 2010, 29: 213-229. 10.1007/s10827-009-0175-1.View ArticlePubMedGoogle Scholar
  4. Huntsman MM, Porcello DM, Homanics GE, DeLorey TM, Huguenard JR: Reciprocal inhibitory connections and network synchrony in the mammalian thalamus. Science. 1999, 283: 541-543. 10.1126/science.283.5401.541.View ArticlePubMedGoogle Scholar

Copyright

© Rogala et al; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Advertisement