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Multisensory Interactions Influence Neuronal Spike Train Dynamics in the Posterior Parietal Cortex

Although significant progress has been made in understanding multisensory interactions at the behavioral level, their underlying neural mechanisms remain relatively poorly understood in cortical areas, particularly during the control of action. In recent experiments where animals reached to and acti...

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Autores principales: VanGilder, Paul, Shi, Ying, Apker, Gregory, Dyson, Keith, Buneo, Christopher A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5199055/
https://www.ncbi.nlm.nih.gov/pubmed/28033334
http://dx.doi.org/10.1371/journal.pone.0166786
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author VanGilder, Paul
Shi, Ying
Apker, Gregory
Dyson, Keith
Buneo, Christopher A.
author_facet VanGilder, Paul
Shi, Ying
Apker, Gregory
Dyson, Keith
Buneo, Christopher A.
author_sort VanGilder, Paul
collection PubMed
description Although significant progress has been made in understanding multisensory interactions at the behavioral level, their underlying neural mechanisms remain relatively poorly understood in cortical areas, particularly during the control of action. In recent experiments where animals reached to and actively maintained their arm position at multiple spatial locations while receiving either proprioceptive or visual-proprioceptive position feedback, multisensory interactions were shown to be associated with reduced spiking (i.e. subadditivity) as well as reduced intra-trial and across-trial spiking variability in the superior parietal lobule (SPL). To further explore the nature of such interaction-induced changes in spiking variability we quantified the spike train dynamics of 231 of these neurons. Neurons were classified as Poisson, bursty, refractory, or oscillatory (in the 13–30 Hz “beta-band”) based on their spike train power spectra and autocorrelograms. No neurons were classified as Poisson-like in either the proprioceptive or visual-proprioceptive conditions. Instead, oscillatory spiking was most commonly observed with many neurons exhibiting these oscillations under only one set of feedback conditions. The results suggest that the SPL may belong to a putative beta-synchronized network for arm position maintenance and that position estimation may be subserved by different subsets of neurons within this network depending on available sensory information. In addition, the nature of the observed spiking variability suggests that models of multisensory interactions in the SPL should account for both Poisson-like and non-Poisson variability.
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spelling pubmed-51990552017-01-19 Multisensory Interactions Influence Neuronal Spike Train Dynamics in the Posterior Parietal Cortex VanGilder, Paul Shi, Ying Apker, Gregory Dyson, Keith Buneo, Christopher A. PLoS One Research Article Although significant progress has been made in understanding multisensory interactions at the behavioral level, their underlying neural mechanisms remain relatively poorly understood in cortical areas, particularly during the control of action. In recent experiments where animals reached to and actively maintained their arm position at multiple spatial locations while receiving either proprioceptive or visual-proprioceptive position feedback, multisensory interactions were shown to be associated with reduced spiking (i.e. subadditivity) as well as reduced intra-trial and across-trial spiking variability in the superior parietal lobule (SPL). To further explore the nature of such interaction-induced changes in spiking variability we quantified the spike train dynamics of 231 of these neurons. Neurons were classified as Poisson, bursty, refractory, or oscillatory (in the 13–30 Hz “beta-band”) based on their spike train power spectra and autocorrelograms. No neurons were classified as Poisson-like in either the proprioceptive or visual-proprioceptive conditions. Instead, oscillatory spiking was most commonly observed with many neurons exhibiting these oscillations under only one set of feedback conditions. The results suggest that the SPL may belong to a putative beta-synchronized network for arm position maintenance and that position estimation may be subserved by different subsets of neurons within this network depending on available sensory information. In addition, the nature of the observed spiking variability suggests that models of multisensory interactions in the SPL should account for both Poisson-like and non-Poisson variability. Public Library of Science 2016-12-29 /pmc/articles/PMC5199055/ /pubmed/28033334 http://dx.doi.org/10.1371/journal.pone.0166786 Text en © 2016 VanGilder et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
VanGilder, Paul
Shi, Ying
Apker, Gregory
Dyson, Keith
Buneo, Christopher A.
Multisensory Interactions Influence Neuronal Spike Train Dynamics in the Posterior Parietal Cortex
title Multisensory Interactions Influence Neuronal Spike Train Dynamics in the Posterior Parietal Cortex
title_full Multisensory Interactions Influence Neuronal Spike Train Dynamics in the Posterior Parietal Cortex
title_fullStr Multisensory Interactions Influence Neuronal Spike Train Dynamics in the Posterior Parietal Cortex
title_full_unstemmed Multisensory Interactions Influence Neuronal Spike Train Dynamics in the Posterior Parietal Cortex
title_short Multisensory Interactions Influence Neuronal Spike Train Dynamics in the Posterior Parietal Cortex
title_sort multisensory interactions influence neuronal spike train dynamics in the posterior parietal cortex
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5199055/
https://www.ncbi.nlm.nih.gov/pubmed/28033334
http://dx.doi.org/10.1371/journal.pone.0166786
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