Spinal Cord Injury: Is the vagus nerve our neural connectome?

What are the implications of the vagus nerve being able to mediate the time-dependent plasticity of an array of sensorimotor networks?.
  1. V Reggie Edgerton  Is a corresponding author
  2. Parag Gad  Is a corresponding author
  1. University of California, Los Angeles, United States

The vagus nerve reports on the state of many of the organs in our body, including the heart, the lungs and the gut, and it relays this information to various neural control networks that unconsciously regulate internal organs. It has also been shown that artificial electric stimulation of the vagus nerve helps with recovery in animal models of stroke, tinnitus and spinal cord injury (De Ridder et al., 2014; Hays, 2016). In particular, stimulation of the vagus nerve promotes the recuperation of motor skills and, maybe, autonomic functions (such as breathing), even when the injuries took place years before the intervention. However, we do not fully understand how stimulating this single nerve can lead to such results.

Now, in eLife, Patrick Ganzer, Robert Rennaker at the University of Texas at Dallas and the Texas Biomedical Device Center, and colleagues, report that stimulating the vagus nerve of a rat with spinal injuries helps it to recover mobility of an affected limb – in this case, its front paw (Ganzer et al., 2018). The stimulation has to be applied during a short time window after the rat manages to perform a specific movement with this paw, such as grasping a lever with a specific level of strength.

In this scenario, grasping the lever activates a network of neurons. The connections between these neurons will then be reinforced if the vagus nerve is stimulated within seconds of this task being completed (Figure 1). Classical long-term potentiation experiments show that simultaneous activation leaves ‘tags’ in neurons, which help to strengthen any connections between these neurons (He et al., 2015). Yet, during vagus nerve stimulation, there is no direct synaptic link between the circuits that perform the motor task and the synapses that are excited by the vagus nerve (Alvarez-Dieppa et al., 2016; Hulsey et al., 2017).

The effects of vagus nerve and spinal cord stimulations on neural networks.

The schematic shows the effect of two types of artificial stimulations on a network of neurons (circles), which is activated when a rat with spinal cord injury pulls a lever with its affected limb. Column A shows the effect of vagus nerve stimulation on neural networks that are activated when the rat pulls that lever. In A1, when the rat performs the task, it activates neurons. Some of these are specific to this task (encircled by solid black lines), some of which are not (dashed black line). In A2, the vagus nerve (not represented) is stimulated (pink cloud and lightning bolts). The neurons previously activated are also modulated by this stimulation, and certain new neurons are activated (dashed red line). This combination of activation and modulation strengthens the connections between the neurons that previously fired together, which leads to a transformation of the network. Ultimately, this more robust network supports better physical performance by the rats. Column B shows the effect of spinal cord stimulation on the same neural networks. In B1, spinal cord stimulation is applied (blue cloud and lighting bolt) before the task takes place. When the task is performed (B2), the synapses between the groups of neurons that are involved are further reinforced, a result that is comparable to what is obtained with vagus nerve stimulation. Similar results may also be obtained by performing the stimulation during the task itself. Both vagus nerve and spinal cord stimulations depend on the subject performing a certain task that activates the networks which need reinforcing. However, how these two types of stimulations differ, and how they modulate neural connections, remains unclear.

IMAGE CREDITS: Figure courtesy of V Reggie Edgerton.

Instead, the effects of vagus nerve stimulation could be mediated by a wide range of neuromodulatory mechanisms, which are non-specific to a given synapse. Because the vagus nerve is connected to so many different organs, both in sensorimotor and autonomic ways, it provides the entry point to various neuroendocrine and neurotransmitter systems. Essentially, it seems that the vagus nerve can form a 'connectome' for many functions, which means that interventions via the vagus nerve have the potential to help with the recovery of multiple functions.

Remarkably, similar effects can be obtained by stimulating the spinal cord before the action is performed (Figure 1; Gad et al., 2013). In both cases, there are activity-dependent mechanisms that identify the synapses that have been activated, and the stimulation triggers a series of time-dependent events that reinforce the connections between the relevant neurons.

More broadly, there are at least four fundamental biological concepts relevant to the findings by Ganzer et al. First, the vagus nerve mediates physiological systems (including sensorimotor and autonomic systems) which are extensively and comprehensively integrated together. Second, these systems are dynamic and can reorganize and interact in ways that can dramatically change our behavior. Third, time-dependence has a central role in defining activity-dependent plasticity. Fourth, the networks under the influence of the vagus nerve may be constantly reshaped by neural and biochemical signals via activity-dependent mechanisms.

These four points are consistent with the theory of neural group selection put forward by Gerald Edelman, the American biologist who shared the Nobel Prize in Physiology or Medicine in 1972 (Edelman, 1987). According to this theory, during early and neonatal development neurons form somewhat malleable connections based on genetic (i.e., internal) signals. Thereafter, throughout life, these networks dynamically and continuously create different combinations of functional neuronal connections – called neural networks, or somatically formed groups – by functionally pruning or reinforcing the strength of their connections. This remodeling is determined by the level of activity of the neural connections as they are constantly responding to internal and external stimuli. Finally, which neural groups fire together determines the overall shape of these networks. In terms of behavior, the basic functional unit of the brain is therefore not a neuron, but instead a group of connections among neurons that tend to fire together. Thus, fully understanding the mechanisms at play during vagus nerve stimulation requires thinking at the level of systems, as well as of subcellular components.

References

  1. Book
    1. Edelman GM
    (1987)
    Neural Darwinism: The Theory of Neuronal Group Selection
    New York: Basic Books.

Article and author information

Author details

  1. V Reggie Edgerton

    V Reggie Edgerton is in the Department of Integrative Biology and Physiology at the University of California, Los Angeles, United States

    For correspondence
    vre@ucla.edu
    Competing interests
    V Reggie Edgerton holds shareholder interest in NeuroRecovery Technologies and holds certain inventorship rights on intellectual property licensed by The Regents of the University of California to NeuroRecovery Technologies and its subsidiaries.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6534-1875
  2. Parag Gad

    Parag Gad is in the Department of Integrative Biology and Physiology at the University of California, Los Angeles, United States

    For correspondence
    paraggad@gmail.com
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8352-7614

Publication history

  1. Version of Record published: March 16, 2018 (version 1)

Copyright

© 2018, Edgerton et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 4,424
    views
  • 219
    downloads
  • 8
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. V Reggie Edgerton
  2. Parag Gad
(2018)
Spinal Cord Injury: Is the vagus nerve our neural connectome?
eLife 7:e35592.
https://doi.org/10.7554/eLife.35592
  1. Further reading

Further reading

    1. Neuroscience
    Amanda Chu, Nicholas T Gordon ... Michael A McDannald
    Research Article Updated

    Pavlovian fear conditioning has been extensively used to study the behavioral and neural basis of defensive systems. In a typical procedure, a cue is paired with foot shock, and subsequent cue presentation elicits freezing, a behavior theoretically linked to predator detection. Studies have since shown a fear conditioned cue can elicit locomotion, a behavior that – in addition to jumping, and rearing – is theoretically linked to imminent or occurring predation. A criticism of studies observing fear conditioned cue-elicited locomotion is that responding is non-associative. We gave rats Pavlovian fear discrimination over a baseline of reward seeking. TTL-triggered cameras captured 5 behavior frames/s around cue presentation. Experiment 1 examined the emergence of danger-specific behaviors over fear acquisition. Experiment 2 examined the expression of danger-specific behaviors in fear extinction. In total, we scored 112,000 frames for nine discrete behavior categories. Temporal ethograms show that during acquisition, a fear conditioned cue suppresses reward seeking and elicits freezing, but also elicits locomotion, jumping, and rearing – all of which are maximal when foot shock is imminent. During extinction, a fear conditioned cue most prominently suppresses reward seeking, and elicits locomotion that is timed to shock delivery. The independent expression of these behaviors in both experiments reveals a fear conditioned cue to orchestrate a temporally organized suite of behaviors.

    1. Neuroscience
    Amin MD Shakhawat, Jacqueline G Foltz ... Jennifer L Raymond
    Research Advance

    The enhancement of associative synaptic plasticity often results in impaired rather than enhanced learning. Previously, we proposed that such learning impairments can result from saturation of the plasticity mechanism (Nguyen-Vu et al., 2017), or, more generally, from a history-dependent change in the threshold for plasticity. This hypothesis was based on experimental results from mice lacking two class I major histocompatibility molecules, MHCI H2-Kb and H2-Db (MHCI KbDb−/−), which have enhanced associative long-term depression at the parallel fiber-Purkinje cell synapses in the cerebellum (PF-Purkinje cell LTD). Here, we extend this work by testing predictions of the threshold metaplasticity hypothesis in a second mouse line with enhanced PF-Purkinje cell LTD, the Fmr1 knockout mouse model of Fragile X syndrome (FXS). Mice lacking Fmr1 gene expression in cerebellar Purkinje cells (L7-Fmr1 KO) were selectively impaired on two oculomotor learning tasks in which PF-Purkinje cell LTD has been implicated, with no impairment on LTD-independent oculomotor learning tasks. Consistent with the threshold metaplasticity hypothesis, behavioral pre-training designed to reverse LTD at the PF-Purkinje cell synapses eliminated the oculomotor learning deficit in the L7-Fmr1 KO mice, as previously reported in MHCI KbDb−/−mice. In addition, diazepam treatment to suppress neural activity and thereby limit the induction of associative LTD during the pre-training period also eliminated the learning deficits in L7-Fmr1 KO mice. These results support the hypothesis that cerebellar LTD-dependent learning is governed by an experience-dependent sliding threshold for plasticity. An increased threshold for LTD in response to elevated neural activity would tend to oppose firing rate stability, but could serve to stabilize synaptic weights and recently acquired memories. The metaplasticity perspective could inform the development of new clinical approaches for addressing learning impairments in autism and other disorders of the nervous system.