Skip to content

Advertisement

  • Poster presentation
  • Open Access

Saccade angle modulates correlation between the local field potential and cerebellar Purkinje neuron activity

  • 1Email author,
  • 1, 2,
  • 3,
  • 3 and
  • 1
BMC Neuroscience201314 (Suppl 1) :P91

https://doi.org/10.1186/1471-2202-14-S1-P91

  • Published:

Keywords

  • Firing Rate
  • Spike Train
  • Rate Code
  • Tuning Curve
  • Local Field Potential

The local field potential (LFP) represents the activity of a local neural population around the extracellular electrode. While it is debated how local the sampled activity actually is [1], it is known that the tuning curves, i.e. the sensitivity to sensory stimuli, obtained from the LFP can have similar but broader shapes than the ones calculated from firing rates of the multi/single unit recordings [2]. Beyond the firing rate, recent studies have shown that the correlation between the LFP and the spike train can be based on a spike time code to boost the transfer of sensory information by complementing the rate code [3].

Here we show how the activity of cerebellar Purkinje neurons (PC) and the LFP are intertwined in relation to saccadic eye motion by analyzing extracellular recording data from the vermal cortices of rhesus (Macaca mulatta) monkeys during spontaneous and visually guided saccades. We found that the simple spikes tend to be less significantly correlated to the eye velocity than the LFP (p < 0.01 for spikes in 38 recordings out of 53 with p < 0.01 for the LFP) while the time scales of those correlations are similar. However, we also found that the correlation of LFP to the eye velocity with angle θ tend to be siginificantly more irrespective of θ than the simple spike-eye velocity correlation (25 out of 38 recordings, p < 0.05), which is known to be strong and often angle-dependent [4, 5].

This can be simply due to the weak LFP-spike correlation from population averaging, but can be also contributed by the dynamic LFP-spike correlation that modulates with the saccade angle. PC spike trains are often composed of periods of fast spiking ("patterns"), occasionally interrupted by relatively long ISIs ("pauses") [6], and furthermore the correlations between PCs can be significantly affected by whether the spikes being either associated with the patterns or the pauses [7]. Inspired by this, we computed the LFP-spike correlations for pause- and pattern-related spikes and found that the correlation indeed significantly varies significantly depending on the spike class. As the pauses are better correlated to the saccade angle than the rate (Mario Negrello, private communication), the pause code of the PC can underlie how the LFP-spike correlation changes with the saccade angle.

Our results suggest that the coding strategy of the cerebellar cortex for eye motion is not only composed of the population firing rate of local neurons [4], but also by the temporal information such as the PC pauses and associated synchrony [7, 8].

Authors’ Affiliations

(1)
Computational Neuroscience Unit, Okinawa Institute of Science and Technology, Okinawa 904-0495, Japan
(2)
Department of Neuroscience, Erasmus MC, Rotterdam, The Netherlands
(3)
Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany

References

  1. Kajikawa Y, Schroeder CE: How local is the local field potential?. Neuron. 2011, 72: 847-858. 10.1016/j.neuron.2011.09.029.PubMed CentralView ArticlePubMedGoogle Scholar
  2. Liu J, Newsome WT: Local field potential in cortical area MT: stimulus tuning and behavioral correlations. J Neurosci. 2006, 26: 7779-7790. 10.1523/JNEUROSCI.5052-05.2006.View ArticlePubMedGoogle Scholar
  3. Panzeri S, Brunel N, Logothetis NK, Kayser C: Sensory neural codes using multiplexed temporal scales. Trends Neurosci. 2010, 33: 111-120. 10.1016/j.tins.2009.12.001.View ArticlePubMedGoogle Scholar
  4. Thier P, Dicke PW, Haas R, Barash S: Encoding of movement time by populations of cerebellar Purkinje cells. Nature. 2000, 405: 72-76. 10.1038/35011062.View ArticlePubMedGoogle Scholar
  5. Ohtsuka K, Noda H: Discharge properties of Purkinje cells in the oculomotor vermis during visually guided saccades in the macaque monkey. J Neurophysiol. 1995, 74: 1828-1840.PubMedGoogle Scholar
  6. Shin S-L, Hoebeek FE, Schonewille M, de Zeeuw C, Aertsen A, De Schutter E: Regular patterns in cerebellar Purkinje cell simple spike trains. PLOS ONE. 2007, 2: e485-10.1371/journal.pone.0000485.PubMed CentralView ArticlePubMedGoogle Scholar
  7. Shin S-L, De Schutter E: Dynamic synchronization of Purkinje cell simple spikes. J Neurophysiol. 2006, 96: 3485-3491. 10.1152/jn.00570.2006.View ArticlePubMedGoogle Scholar
  8. Person AL, Raman IM: Purkinje neuron synchrony elicits time-locked spiking in the cerebellar nuclei. Nature. 2012, 481: 502-505.View ArticleGoogle Scholar

Copyright

© Hong 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