Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
    • Podcast
  • ALERTS
  • FOR AUTHORS
    • Information for Authors
    • Fees
    • Journal Clubs
    • eLetters
    • Submit
  • EDITORIAL BOARD
  • ABOUT
    • Overview
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
  • SUBSCRIBE

User menu

  • Log in
  • My Cart

Search

  • Advanced search
Journal of Neuroscience
  • Log in
  • My Cart
Journal of Neuroscience

Advanced Search

Submit a Manuscript
  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
    • Podcast
  • ALERTS
  • FOR AUTHORS
    • Information for Authors
    • Fees
    • Journal Clubs
    • eLetters
    • Submit
  • EDITORIAL BOARD
  • ABOUT
    • Overview
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
  • SUBSCRIBE
PreviousNext
Articles, Behavioral/Systems/Cognitive

Local Neural Processing and the Generation of Dynamic Motor Commands within the Saccadic Premotor Network

Marion R. Van Horn, Diana E. Mitchell, Corentin Massot and Kathleen E. Cullen
Journal of Neuroscience 11 August 2010, 30 (32) 10905-10917; DOI: https://doi.org/10.1523/JNEUROSCI.0393-10.2010
Marion R. Van Horn
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Diana E. Mitchell
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Corentin Massot
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kathleen E. Cullen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Additional Files
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    A, Diagram of saccadic brainstem circuitry. Inhibition is shown in red and excitation is shown in green. MNs initiate ipsilateral eye movements by sending signals related to eye velocity and position to lateral rectus eye muscles. When the lateral rectus acts as an agonist (i.e., ipsilateral direction), SBNs provide motoneurons with an excitatory input. During saccades in the contralateral direction, MNs are inhibited by contralateral inhibitory SBNs (red). OPNs tonically inhibit SBNs, except during saccades where their activity pauses. B, Example extracellular recordings of spiking activity of brainstem saccadic neurons. In the ipsilateral direction the MN has position and velocity signals and the SBN has eye velocity information. While the input drive to MNs and SBNs can be inferred from the spikes during ipsilateral saccades (green box) the input drive to MNs and SBNs during contralateral saccades (OPNs during all saccades) cannot be predicted based on the spiking activity (red boxes). Overall, we have limited knowledge of the functional weighting/dynamics of these inputs onto their target neurons.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Characteristics of LFPs recorded from typical OPN. A, Example traces of horizontal eye velocity, LFP recording, and spiking activity. Note that, regardless of direction, whenever a saccade is made there is a pause in the unit activity and a deflection in the LFP trace that is consistent with a net hyperpolarization. B, A raster displaying spiking activity, as well as average LFP, eye velocity, and eye position traces, is shown for both ipsilateral (left) and contralateral (right) directed saccades. C, D, Plots of LFP duration versus saccade duration (C) and LFP time integral versus saccade amplitude (D) for both ipsilateral (left) and contralateral (right) directed saccades. E, The LFP profile (not inverted) matched eye velocity (superimposed on the LFP trace for comparison) during a typical (left panel) and an atypical (e.g., complex temporal dynamics; right panel) saccade. The timing and amplitude of the peaks in the velocity and LFP profiles are almost synchronous. Inset shows the lead time of the LFP and firing rate responses relative to eye velocity. *Additional examples are illustrated in supplemental Figure 2 (available at www.jneurosci.org as supplemental material).

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Characteristics of LFPs recorded from typical SBN. A, Example traces of horizontal eye velocity, LFP recording, and single-unit activity. Note that whenever a saccade is made in the cell's preferred direction, an LFP response that is consistent with a net depolarization occurs, whereas when the saccade is in the antipreferred direction, the response is consistent with a net hyperpolarization. B, The LFP profile matched eye velocity during typical (left panel) and atypical (e.g., complex temporal dynamics; right panel) saccades. The timing and amplitude of the peaks in the velocity and LFP profiles are almost synchronous. Inset shows the lead time of the LFP and firing rate responses relative to eye velocity. *Additional examples are illustrated in supplemental Figure 2 (available at www.jneurosci.org as supplemental material). C, A raster displaying unit activity, as well as average LFP, eye velocity, and eye position traces, is shown in the preferred (C1) and nonpreferred (C2) directions.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Dynamic analysis of LFP and single unit responses recorded from an example SBN, MN, and OPN. A1–A3, The fits (red traces) obtained using Equation 1 (SBN and OPN) or Equation 2 (MN) (see Materials and Methods for details) are superimposed on the LFP trace (gray trace, third row) and spiking activity (gray filled profile, fourth row) for the neuron's preferred (left panels) and nonpreferred (right panels) directions. Both the firing rate and LFPs encoded eye velocity in the preferred direction. In contrast, in the neuron's nonpreferred direction, eye velocity was well encoded by LFPs, but not by spiking activity. Insets show the eye velocity coefficient obtained using Equation 1 (SBNs and OPNs) or Equation 2 (MNs) for both ipsilateral and contralateral saccades. Note that the VAF values were always calculated when fitting the entire dataset of saccades. B1–B3, Histograms of VAFs estimated for LFPs during ipsilateral (i.e., preferred) and contralateral (i.e., nonpreferred) saccades for each population of neurons recorded.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    Stimulus reconstruction of the eye velocity using LFPs and spikes recorded from SBN neuron. Eye velocity (black trace; duplicate for clarity in first and second row), stimulus reconstruction of eye velocity using LFPs (first row; blue trace) or spikes (second row; red trace), LFPs, and spiking activity are shown for saccades made in the preferred (A) and nonpreferred (B) directions. Note that in the preferred direction, both the LFPs and spikes were able to accurately reconstruct the corresponding eye velocity signal (CFLFP = 0.56; CFspike = 0.49). In the nonpreferred direction, however, only the LFPs precisely described the eye velocity (CFLFP = 0.55; CFspike = 0). Notably, the CFs were calculated for the entire signal length, which was made up of at least 40 saccades. Optimal filters were calculated for each individual neuron. The insets show the mean optimal filter estimated from LFPs for the reconstructions of the eye velocity profiles for the population of neurons.

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    Average population coding fractions for MNs (A), SBNs (B), and OPNs (C) when the reconstruction of the eye velocity was applied with the LFP signal (gray), spike train (white), and firing rate (black). Note that LFPs recorded from MNs, SBNs, and OPNs are able to reconstruct the eye velocity in both the neurons' preferred (i.e., ipsilateral) and nonpreferred (i.e., contralateral) directions. Although the spike train and firing rate accurately reconstruct the eye velocity in the preferred direction of the MNs and SBNs, these signals fail to do so in the neurons' nonpreferred direction. C, Spiking activity and firing rate recorded from OPNs were unable to reconstruct the eye velocity in both the ipsilateral and contralateral directions.

  • Figure 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 7.

    STA and SFC for MNs (left column) and SBNs (right column). A1 and B1 show the STAs of 2 example cells centered on the first spike of each trial. The onset of the first 2 standard deviation threshold crossing in the STA was computed 120 to 40 ms preceding spike onset (see gray areas). The latency was obtained by measuring the duration between the spike onset and the STA onset (see vertical arrow). For both example neurons, the STA onset precedes the onset of spiking activity. A2 and B2 show population averages of STA superimposed on ±1 SEM (gray area). On average, the STA onset precedes the onset of spiking activity. The insets show the average SFC computed by taking the maximum of the normalized power spectrum for each neuron. Both classes of neurons display high SFCs indicating a strong positive correlation between the LFP signals and the spiking activity.

  • Figure 8.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 8.

    Spatial relationship of SBN LFP responses. A, Spiking activity and average LFPs recorded simultaneously from a typical SBN during saccades, of equal amplitude (10 deg), made in 8 different directions (e.g., left, right, up, down, and oblique) are superimposed on average spectrograms. Zero and one hundred eighty degrees correspond to the cell's preferred and antipreferred directions, respectively; 90 and 270 deg correspond to vertical up and vertical down saccades, respectively. The x- and y-axes represent time and frequency, respectively, while LFP power is color coded. B, Plot of saccade endpoint relative to the origin where the x- and y-axes represent horizontal and vertical components, respectively, and the time integral taken over the saccade interval of the corresponding LFP response is color coded. Left and right insets show tuning curves for saccades (5 to 10 deg) made in contralateral and ipsilateral directions, respectively.

  • Figure 9.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 9.

    Spatial relationship of OPN LFP responses. A, Spiking activity and average LFPs recorded simultaneously from a typical OPN during saccades, of equal amplitude, made in 8 different directions (e.g., left, right, up, down, and oblique) are superimposed on average spectrograms. Zero and one hundred eighty degrees correspond to the cell's ipsilateral and contralateral directions, respectively. The x- and y-axes represent time and frequency, respectively, while LFP power is color coded. B, Plot of saccade endpoint relative to the origin where the x- and y-axes represent horizontal and vertical components, respectively, and the time integral taken over the saccade interval of the corresponding LFP response is color coded. Note that, regardless of direction, as the amplitude of the saccades made become larger, the peak LFP becomes increasingly negative. Left and right insets show a constant LFP response as a function of saccade direction and a lack of unit activity during saccades (5 to 10 deg) made in the contralateral and ipsilateral direction, respectively.

  • Figure 10.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 10.

    Effect of electrode distance on LFP response. A, LFPs traces when electrode was placed 0, 150, 300, and 600 μm away from the lateral edge of the abducens nucleus. Note that as the electrode is placed further away, the LFP trace becomes noisier. The average eye position trace is shown below. B, Plot of the peak (black circles) and baseline (gray squares) LFP response as a function of distance from the nucleus. As the electrode is moved further away, the LFP activity decays to a baseline level. Solid line represents an exponential fit to peak LFP values (τ = 0.37; R2 = 0.98). Dotted line represents average of baseline values for all distances plotted.

Additional Files

  • Figures
  • Supplemental Data

    Files in this Data Supplement:

    • supplemental material - Supplemental Figures
Back to top

In this issue

The Journal of Neuroscience: 30 (32)
Journal of Neuroscience
Vol. 30, Issue 32
11 Aug 2010
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Advertising (PDF)
  • Ed Board (PDF)
Email

Thank you for sharing this Journal of Neuroscience article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Local Neural Processing and the Generation of Dynamic Motor Commands within the Saccadic Premotor Network
(Your Name) has forwarded a page to you from Journal of Neuroscience
(Your Name) thought you would be interested in this article in Journal of Neuroscience.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Local Neural Processing and the Generation of Dynamic Motor Commands within the Saccadic Premotor Network
Marion R. Van Horn, Diana E. Mitchell, Corentin Massot, Kathleen E. Cullen
Journal of Neuroscience 11 August 2010, 30 (32) 10905-10917; DOI: 10.1523/JNEUROSCI.0393-10.2010

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Request Permissions
Share
Local Neural Processing and the Generation of Dynamic Motor Commands within the Saccadic Premotor Network
Marion R. Van Horn, Diana E. Mitchell, Corentin Massot, Kathleen E. Cullen
Journal of Neuroscience 11 August 2010, 30 (32) 10905-10917; DOI: 10.1523/JNEUROSCI.0393-10.2010
del.icio.us logo Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

Articles

  • Choice Behavior Guided by Learned, But Not Innate, Taste Aversion Recruits the Orbitofrontal Cortex
  • Maturation of Spontaneous Firing Properties after Hearing Onset in Rat Auditory Nerve Fibers: Spontaneous Rates, Refractoriness, and Interfiber Correlations
  • Insulin Treatment Prevents Neuroinflammation and Neuronal Injury with Restored Neurobehavioral Function in Models of HIV/AIDS Neurodegeneration
Show more Articles

Behavioral/Systems/Cognitive

  • Episodic Reinstatement in the Medial Temporal Lobe
  • Musical Expertise Induces Audiovisual Integration of Abstract Congruency Rules
  • The Laminar Development of Direction Selectivity in Ferret Visual Cortex
Show more Behavioral/Systems/Cognitive
  • Home
  • Alerts
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Issue Archive
  • Collections

Information

  • For Authors
  • For Advertisers
  • For the Media
  • For Subscribers

About

  • About the Journal
  • Editorial Board
  • Privacy Policy
  • Contact
(JNeurosci logo)
(SfN logo)

Copyright © 2023 by the Society for Neuroscience.
JNeurosci Online ISSN: 1529-2401

The ideas and opinions expressed in JNeurosci do not necessarily reflect those of SfN or the JNeurosci Editorial Board. Publication of an advertisement or other product mention in JNeurosci should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in JNeurosci.