Abstract
Autonomic nerves are attractive targets for medical therapies using electroceutical devices because of the potential for selective control and few side effects. These devices use novel materials, electrode configurations, stimulation patterns, and closed-loop control to treat heart failure, hypertension, gastrointestinal and bladder diseases, obesity/diabetes, and inflammatory disorders. Critical to progress is a mechanistic understanding of multi-level controls of target organs, disease adaptation, and impact of neuromodulation to restore organ function.
Introduction
The autonomic nervous system (ANS) regulates a vast landscape of organ and tissue function using multi-level reflex control involving both central and peripheral neural networks. In addition to the well-recognized long-loop reflexes with sympathetic and parasympathetic efferent arms are complex peripheral neural networks in intimate association with their target tissues (9, 46). These peripheral neural networks are located in both the thorax (intrinsic cardiac nervous system) and viscera (enteric nervous system). Functions controlled by these interdependent neural networks include regional cardiac activity (chronotropy, inotropy, dromotropy, and lusitropy), arteriole (and venule) diameters, exocrine and endocrine pancreatic cell secretions, gastrointestinal (GI) motility and secretions, urinary bladder contraction and urination, tracheal and bronchial sensations, immune system function, and mobilization of energy stores from fat and liver (9, 33, 46, 61, 72, 111). Cranial and spinal nerves of the ANS are mixed populations of afferent and efferent fibers with cell bodies in peripheral ganglia and CNS. These interdependent neural networks are not relay stations but adaptable processing networks that allow for flexibility to respond to a myriad of competing endogenous and exogenous stressors.
ANS peripheral nerves and ganglia are attractive targets for electroceutical therapeutic approaches; these tissues typically have a favorable location for surgical interventions compared with invasive surgery into the brain. Indeed, peripheral nerves and ganglia lack the comparative complexity of targeting regions of the CNS. CNS areas contain diverse functions, with anatomically overlapping cell populations and fibers of passage; lowering an electrode into a deep brain structure can produce non-selective effects and trauma to surrounding areas. Electroceuticals use engineered electronic devices, with unique bio-compatible materials, form-fit nerve-cell interfaces, hardware components, and computer software to modulate sensory and motor neuronal signaling. In contrast to systemic pharmacotherapy, electroceutical devices have potential for highly selective organ-specific treatment, fewer side effects, and precise spatio-temporal therapeutic control. This is an old idea; for example, almost 50 years ago, Braunwald tested electrical stimulation of the carotid sinus nerve to treat cardiac disease (22). Then, as now, it is contingent on mechanistic-based preclinical studies to pave the way for translation to the clinic.
Research more than a decade ago led to the development of FDA-approved vagus nerve stimulation (VNS) devices to treat epileptic seizures (3) and depression (2, 83). Cervical vagus nerve bipolar circumferential electrodes were developed in the 1990s—the Cyberonics helical cuff electrode (FIGURE 1). Stimulation through this device, typically applied as 20–30 Hz of stimulation, has demonstrated effectiveness for controlling epileptic seizures; however, it produces adverse effects in some patients, including hoarseness, cough, dyspnea, pain, paresthesia, nausea, and headache (84). Many of these side effects result from non-selective stimulation of the cervical vagus trunk, which contains >100,000 afferent and efferent nerve fibers from almost all thoracic and abdominal organs (52). Unfortunately, this VNS approach is only effective in reducing epileptic seizures in ~1/3 of patients because stimulation levels must be reduced to avoid adverse effects (17). More recently, this approach was reported to control treatment-resistant depression, but again with similar off-target effects (14, 77). It remains unclear which mechanisms are affected by cervical VNS to produce therapeutic control of epileptic seizures or depression, but functional imaging studies indicate large-scale changes in CNS activity (29, 30). These early VNS approaches highlight the challenges of developing electroceutical devices, including how to achieve functional selectivity, reduce side effects, and determine physiological readouts to assess mechanisms of action and therapeutic efficacy in individual patients; importantly, these issues not only apply to the time of implant but to weeks and years into the future, which include the possibility of changes in device functioning and organ physiology.
FIGURE 1.
Electroceutical therapies approved by the FDA
The Cyberonics vagus nerve stimulation system was approved in 1997 to control epileptic seizures and later approved for use to treat depression (2005); this device is attached to the left cervical vagus trunk. The Maestro system was approved in 2015 to treat obesity and has attachments to the ventral and dorsal gastric branches of the vagus nerve. The Medtronic InterStim system was approved in 2011 to treat urinary incontinence; this system is placed adjacent to the third sacral nerve root.
The New Landscape of Electroceuticals
Over the last 5 years, there has been substantial increase in U.S. government and private research focused on electroceuticals, including development of novel bio-compatible materials, miniaturized electronics, software, stimulation patterns, and electrode geometry. A central goal of these efforts is to produce electroceuticals with greater selectivity, enhanced efficacy, and fewer complications (18). These efforts also include a significant focus on determining the biological mechanisms of how electroceutical devices produce therapeutic effects as a lead up to targeting a patient population (108). In 2013, bioelectronic medical research, which includes electroceuticals, was catalyzed by the launch of Bioelectronics R&D at Glaxo-Smith Kline, followed closely in 2014 by the ElectRx program at DARPA (66) and the NIH SPARC (Stimulating Peripheral Nerves to Relieve Conditions) initiative (https://sparc.science; Refs. 4, 51). New bioelectronic device approaches, many funded by these initiatives, include novel applications of electrical and other energy transfer devices, with combined investments of more than $500 million to teams of neuroscientists, engineers, and clinicians. Below, we highlight recent advances in electroceuticals, including application to an array of diseases, device configurations, and patterns and parameters of stimulation.
Thoracic Targets
Within the thorax, targeting of cardiac disease is arguably the clearest example of electroceutical device development in recent years, with significant insight into physiological effects of stimulation and effective device configurations and parameters; as such, these efforts could provide a useful template for understanding effects on other organ systems, e.g., the GI tract.
Cardiac Disease
Cardiovascular disease is the leading cause of morbidity and mortality in the U.S. and the world (110). The ANS plays a central role in the pathogenesis of several cardiovascular diseases such as atrial fibrillation, hypertension, myocardial infarction, and ventricular tachyarrhythmias/fibrillation, and in the progression of heart failure (97, 106). Progression of cardiac disease reflects adverse remodeling in the heart and cardiac nervous system. In general, this is characterized by a hyperdynamic sympathetic response with withdrawal of central parasympathetic tone in an attempt to maintain cardiac output (9, 43, 45). Figure 2 summarizes the structural organization for autonomic control of the heart, GI tract, and spleen, with primary intervention points for neuromodulation based therapies. In this review, we will focus on device-based electroceuticals. The reader is referred to recent reports for a comprehensive review of neuromodulation-based therapies for cardiac disease (9, 97).
FIGURE 2.
Autonomic nerve connections and electroceutical targets for the cardiac system, gastrointestinal system, and spleen
BAT, baroreceptor activation therapy; AMT, axonal modulation therapy, applied to the T1-T2 paravertebral chain to control sympathetic projections to heart; CVS, cervical vagus nerve stimulation; GVS, gastric vagus nerve stimulation; SCS, spinal cord stimulation. Other systems (not shown) also contain autonomic nerve foci for targeting lungs, liver, pancreas, kidney, and bladder function.
Recent preclinical studies have pioneered the concept of the neural fulcrum as the basis for effective control of multi-level neural circuits with electroceutical therapy for treatment of specific disease processes (11). The neural fulcrum is based on the concept that, when bioelectric interventions push the autonomic neural networks in one direction, the endogenous reflex control pushes back. For example, with cervical VNS, central parasympathetic drive is reduced by afferent activation, starting at low stimulus intensities, which is counteracted by direct activation of parasympathetic efferent preganglionic axons at higher intensities (11, 12). Effective bioelectric control of the entire network is achieved when these two counteracting events are equal and opposite. The net effect is that, although there are minimal changes in basal function, the response of the entire network to stress is restrained, counteracting the hyperdynamic reflex responses commonly associated with disease progression. These studies have further shown that the neural networks can be conditioned to bioelectric interventions, allowing for titration to a broad spectrum of stimulation protocols with minimal side effects (11). Such titrations utilize lower frequencies and pulse widths than those used in FDA-approved epileptic seizure and depression VNS applications. Recent clinical trials, based on the neural fulcrum, are moving forward for treatment of heart failure (39, 90). VNS likewise has shown efficacy, with potential for clinical application, for management of arrhythmias (93, 101).
Spinal cord stimulation.
Spinal cord stimulation (SCS) is FDA-approved for pain management, including angina (44). With reference to cardiac disease, SCS impacts multiple levels of the cardiac nervous system and the heart itself (8). SCS stabilizes reflex processing in the spinal cord (40, 41), stellate ganglia (10), and intrinsic cardiac ganglia (13), and induces a cardioprotective state within cardiomyocytes (100), likely involving changes in substrate utilization. Two recent clinical studies have evaluated the efficacy of SCS in heart failure. A prospective, multisite clinical trial known as SCS Heart (104) enrolled patients with NYHA functional class III symptoms to undergo continuous SCS for 6 months. This study reported significant improvements in cardiac function and NYHA class. In contrast, in a randomized controlled clinical trial called DEFEAT-HF (113), SCS was applied to patients with a similar clinical profile of heart failure but with a duty cycle of 12 h on and 12 h off. This second study showed no significant difference in cardiac function with SCS. From a mechanistic perspective, SCS exhibits a neural memory function of ~45 min when transitioning from on-phase to off-phase (13). The difference in results between these two studies may distill down to differences in protocols. Such results also reinforce the theme of this review—that rational clinical applications require a fundamental understanding of what neural processes and neural target interfaces are being impacted and that these interactions need to be considered in both a temporal and a spatial context.
Baroreceptor activation therapy.
Electrical stimulation of primary sensory neuritis of the carotid sinus, known as baroreceptor activation therapy (BAT), has been evaluated with respect to hypertension and heart failure. This approach is based on the premise that such stimulation will reduce sympathetic outflow while augmenting parasympathetic tone. Although BAT has been effective for patients with resistant hypertension (37), its efficacy in heart failure remains unresolved (112).
Axonal modulation therapy.
Electroceutical therapies, and other forms of energy delivery, have the potential to increase or decrease neural activity, depending on how they are delivered. One promising line of investigation utilizes either kilohertz frequency AC [KHFAC (63)] or charge-balanced DC [CBDC (107)] stimulation to reduce or completely block neural activity in an on-demand and scalable fashion. Novel bioelectric interventions to control sympathetic outflows are of obvious clinical relevance. The T1-T2 region of the paravertebral chain was recently identified as a critical nexus point for sympathetic control of the heart (27). Application of either KHFAC (26) or CBDC (35) to the T1-T2 paravertebral chain produced rapid, scalable, and reproducible block of sympathetic outflow to the heart without compromising basal cardiac function. Moreover, this blocking technology markedly reduced the potential for sudden cardiac death even in the setting of chronic ischemic heart disease (35). As such, in some cases, this therapeutic approach has the potential to supplant cardio-defibrillators.
Abdominal Targets
Below the thorax, the vagus nerve contains critical afferent and efferent pathways for bi-directional communication between brain and abdominal organs, including the GI tract and pancreas (15, 31, 103). There are also small vagal branches innervating the hepatic portal vein, which could be important for sensing GI hormones and absorbed nutrients (15). The GI tract receives both parasympathetic (vagus) and sympathetic innervation, whereas the bladder contains only sympathetic innervation. Our initial discussion focuses on the vagus nerve because it is a complex therapeutic nerve target, including pathways linked to GI, metabolic, and inflammatory diseases. We end this section with a discussion of electroceutical research applied to treat bladder dysfunction.
Functional GI Disease
Functional GI diseases are disorders of gut-brain interaction, primarily motility disturbances. These diseases affect >20% of the population (102) and include esophageal disorders, gastresophageal reflux disease, functional dyspepsia, gastroparesis, chronic intestinal pseudo-obstruction, postoperative ileus, irritable bowel syndrome, diarrhea, and constipation. We will focus on electroceutical devices used to treat gastroparesis and its associated chronic nausea and vomiting (64). For a more complete review of electroceutical targeting of GI motility disorders, the reader is referred a recent review (34).
Regulation of gastric slow-wave responses originating from the gastric pacemaker region is a mechanistic target of treatments for GI motility disorders (81). The Medtronic Enterra device is FDA-approved for controlling the symptoms of gastroparesis, including nausea and vomiting (59). This device contains bipolar electrode leads attached to the gastric serosal surface in approximately the location of the gastric pacemaker. This gastric electrical stimulation (GES) device uses stimulation of 0.3-ms pulse duration, 0.1 s on and 5 s off up to 6 mA. It remains unclear whether the device stimulates extrinsic nerve fibers, such as the vagus, enteric neurons, or muscle, to produce therapeutic effects. The effectiveness of Enterra therapy, however, is controversial and includes few controlled studies, which show slight or no effects of stimulation on emesis (or nausea) when comparing “on” vs. “off” stimulation conditions (82). Also, in a preclinical model in musk shrew, electrical stimulation of the stomach surface triggered emesis (55).
There are also promising preclinical studies to control gastric motility. SCS increases gastric tone and accelerates gastric emptying in rats (99). Furthermore, a recent report showed that cervical VNS in rats can control gastric emptying, using 10 Hz at 20 s on and 40 s off, 0.6 mA, for 4 h (69). These techniques could also be applied to the control of food intake to produce satiation and limit meal size, which could control body weight gain.
Obesity and Diabetes
Obesity affects nearly 40% of U.S. adults and is associated with high levels of comorbidities, including cancer, cardiovascular disease, and diabetes (49, 60). Effective obesity treatments without significant complications are lacking, but there is compelling preclinical evidence that VNS, either at cervical or abdominal levels, can suppress body weight; the reader is referred to more comprehensive reviews for a full discussion (36, 89). Preclinical studies show that abdominal VNS at up to 30 Hz can reduce food intake and body weight (e.g., 105), but VNS can also stimulate emetic pathways (6, 54), which in preclinical studies could be confused with satiation of food intake. Importantly, rats and mice were used in VNS reports on feeding and body weight, but these species lack an emetic reflex, unlike humans, musk shrews, ferrets, and many other mammals (54). Although a change in gastric emptying and motility could be a possible mechanism for the effects of VNS on body weight (see Functional GI Disease above), there are also other VNS-induced responses that could change metabolism and food processing, including insulin, glucagon, and gastric acid secretion (16).
Abdominal VNS is a recent surgical option for obese patients, which is an attractive alternative because it can be tailored to each patient using different stimulation parameters and, in contrast to bariatric surgery, can be turned off or removed. Gastric VNS, known as vBloc therapy and approved by the FDA, results in weight loss of ~11% in moderately obese patients (76). Although vBloc therapy is presented as a nerve signal-blocking approach using high-frequency alternating current (57, 94) (FIGURE 1, Maestro system), the parameters used do not appear to block neural signaling (88). vBloc therapy was also shown to decrease blood HbA1C levels compared with baseline and could be a useful for treatment of diabetes (95). In addition, there are reports of adverse events with vBloc therapy, including nausea, dyspepia, and abdominal pain (7, 96).
In contrast to continuous stimulation with vBloc therapy, research is being conducted on closed-loop technologies in which stimulation is triggered by detection of specific biological measures; for example, recording the nerve compound action potential and optimizing stimulation parameters for activation of specific nerve fiber types (109). One application includes the use of gastric distension from a meal, to trigger GES, which results in weight loss in obese subjects, similar to adjustable gastric band therapy (53, 75). More precise, meal-related approaches are in development; for example, using the detection of cholecystokinin (CCK), an appetite-suppressing gut hormone, to trigger abdominal VNS (74).
Inflammatory Diseases
Preclinical studies show cervical VNS-induced anti-inflammatory effects, as measured by a reduction in systemic inflammatory cytokines (87). Recent clinical testing in patients with inflammatory diseases show promising results. In five of seven Crohn's disease patients tested, VNS resulted in clinical remission, using continual stimulation at 0.25 mA, 30 s on and 5 min off, pulse width 0.5 ms, and frequency of 10 Hz for 6 mo (20). Moreover, VNS in 17 rheumatoid arthritis patients for 1 min up to four times a day using 0.25 to 2 mA, 0.25-ms pulse width, and 10-Hz frequency for 84 days reduced the disease (65). Both clinical studies have used the left cervical VNS system from Cyberonics composed of a helical cuff electrode (FIGURE 1). VNS therapy could potentially be applied broadly to many diseases with inflammatory components, including cardiac disease, obesity, diabetes, and cancer. For example, a recent study in mice reports VNS upregulates TFF2 protein in the spleen, which leads to suppression of cellular pathways that lead to gastrointestinal cancer (42). The reader is referred to recent reviews for a full discussion of VNS-induced anti-inflammatory effects (21, 71, 86).
The mechanisms of VNS on inflammation are not fully known. One theory is that VNS activates a cholinergic anti-inflammatory pathway, which is mediated by vagal efferents that synapse in the celiac ganglia to stimulate post-ganglionic parasympathetic neurons that project to the spleen (FIGURE 2); splenic activation would produce release of acetylcholine from lymphocytes to suppress release of TNF-α. Current anatomic evidence indicates that this pathway is either very sparse or does not exist (28). Other pathways for the effect of VNS on immune responses could include stimulation of the gastrointestinal immune system or reflex action through the CNS affecting sympathetic outflow to the spleen (FIGURE 2) (21). One unique aspect of VNS action is a strong memory component. Unlike most electroceutical effects, VNS anti-inflammatory actions extend for many hours after brief stimulation. For example, in humans, 30 s of VNS (1 mA, 20 Hz, and 0.5-ms pulse duration) produced a decrease in TNF-α, IL-6, and IL-1β at 4 h after stimulation (65).
Bladder Dysfunction
Although bladder dysfunction is less likely to result in death than cardiac dysfunction and diabetes, incontinence and related problems affect a large population, with as many as 17% of women reporting moderate to severe incontinence and bladder dysfunction, costing over $60 billion each year in the U.S. (47, 80). Additionally, urinary tract infections related to neurogenic bladder function are a leading cause of hospitalization and decreased quality of life in individuals with spinal cord injury (73, 85). The Medtronic Interstim system is an FDA-approved device (approved in 2011) for sacral nerve stimulation for treatment of urinary incontinence (1), with a longitudinal four-contact lead, similar to an SCS device but placed adjacent to the third sacral nerve branch (FIGURE 1). Stimulation between a pairs of contacts is typically tuned to produce therapeutic effects with 14-Hz continuous stimulation (5). As with SCS, this approach is commonly initiated using a test implant phase followed by a permanent placement in select patients. In these patients, clinical trials show sacral nerve stimulation can reduce urinary incontinence (50). A new multi-center clinical trial is currently underway to explore the efficacy of this system for neurogenic bladder dysfunction after spinal cord injury (92). Other approaches to control bladder function via peripheral nerve electrical stimulation have been explored in animal models. These include studies that rely on cuff electrodes wrapped around the pudendal nerve to stimulate afferent pathways to evoke reflexive bladder contractions. Multiple studies have demonstrated efficacy in bladder voiding by stimulating this pathway, with one study demonstrating the possibility for generating differential responses (i.e., continence vs. voiding) depending on the frequency of stimulation (19) and another demonstrating that stimulation trains with non-constant frequencies can improve bladder activation (23). Other studies have demonstrated that it is possible to both monitor bladder pressure (24, 62) and stimulate reflex pathways (25) with electrode arrays inserted into the sacral dorsal root ganglia, paving the way for systems that can achieve closed-loop control of continence and voiding.
Integrated Lessons from the Electroceutical Parameter Space
Table 1 summarizes stimulation patterns used in studies discussed above. These studies span multiple organ systems, disease states, and target nerves, and the stimulation frequencies and duty cycles reflect that diversity. Some experiments rely on constant stimulation at a single frequency (104), whereas others involve short bursts of stimulation occasionally throughout the day (65) or high-frequency stimulation to block nerve transmission (95). In almost all cases, these parameters were determined empirically, with little mechanistic understanding of the underlying effects of stimulation. Often, parameters developed in animal models are applied directly to human studies, despite the sometimes vast difference in nerve anatomy between humans and animals (48). Furthermore, in nearly all of the studies described here, stimulation targeted an entire nerve (e.g., the cervical vagus) or a large region of the spinal cord. These complex structures contain thousands of both afferent and efferent neurons innervating organs throughout the body. Electrodes with contacts that wrap completely around the nerve circumference are simpler to manufacture than those with multiple independent contacts, but these simpler devices will always be limited to stimulation of large populations of neurons, with little control over selectivity. Moreover, there is a limitation in stimulating small-diameter fibers, such as C-fibers, because more current is required as fiber diameter decreases (91). These limitations suggest that future studies should involve a heavy focus on developing a mechanistic understanding of the effects of electrical stimulation on target nerves and organs. Furthermore, computational models of the electrode nerve interface may be informative in the development of new electrodes and tuning of stimulation parameters. In fact, improvements in imaging technology may allow for development of patient-specific computational models that can automatically calculate optimal stimulation parameters without the need for costly office visits to empirically adjust stimulation (32).
Table 1.
Effect of electroceutical stimulation patterns on functional responses
| Organ System | Disease State | Target Organ | Target Nerve | Model | Spatial Selectivity of | Frequency | Duty Cycle | Proposed Mechanism of Action | Study Results: Biomarkers/ | Refs. |
|---|---|---|---|---|---|---|---|---|---|---|
| Brain | Epilepsy | Brain stem nuclei | Cervical vagus | Human | Non-selective | 20–30 Hz | 30 s on: 5 min off; no known effect of duty cycle | Modulation of brain stem and higher center neural networks | Reduction in seizure frequency | 38, 84 |
| Depression | Multiple CNS targets | Cervical vagus | Human | Non-selective | 1–30 Hz, typically 20 Hz | 7–60 s on: 0.2–180 min off | Synchronization of orbito-frontal activity; frontal lobe slow waves | Improvement in depression scores | 83 | |
| Thoracic Organs | Normal, HFpEF, ischemic heart disease | Heart | Cervical vagus | Dog, guinea pig | Non-selective | 2–30 Hz, most effective below 10 Hz | 14 s on: 66 s off | Anti-adrenergic effects, blunting of intrathoracic reflexes, changes myocyte substrate utilization | Bradycardia; tachycardia | 93 |
| Heart failure | Heart | Cervical vagus | Human | Non-selective | 10 Hz | Continuous or intermittent | Anti-adrenergic effects | Increase in left ventricular ejection fraction | 90 | |
| Atrial fibrillation | Heart | Cervical vagus | Dog | Non-selective | 15 Hz | 3 min on | Blunting of intrinsic cardiac reflexes | Stabilization of atrial electrical function | 93 | |
| Postoperative atrial fibrillation | Heart | Cervical vagus | Human | Non-selective | 20 Hz | 72 h on | Inhibition of cardiac autonomic nervous system and suppression of inflammation | Decrease in postoperative atrial fibrillation | 101 | |
| Heart failure | Heart | Spinal cord | Human | Non-selective; paresthesia covering chest | 50 Hz | Continuous | Modulation of sympathetic and parasympathetic nervous system | Decrease in rate of heart failure; decrease in NYHA class | 104 | |
| Systolic heart failure | Heart | Spinal cord | Human | Non-selective; paresthesia covering chest | 50 Hz | 12 h on: 12 h off | Modulation of sympathetic and parasympathetic nervous system | Trial failed: no change in left ventricular end-systolic volume index | 113 | |
| Hypertension | Heart | Carotid sinus | Human | Non-selective | Unavailable | Continuous | Stimulation of baroreflex pathways | Decrease in blood pressure | 37 | |
| Normal | Heart | T3 paravertebral ganglion | Pig | Non-selective | 15 kHz | 30 s on | Block of sympathetic excitation | Lengthening activation recovery interval | 26 | |
| Post-myocardial infarction arrhythmia | Heart | T1-T2 paravertebral ganglion | Pig | Non-selective | Charge-balanced DC | 30 s on | Block of sympathetic excitation | Lengthening of ventricular effective refractory period | 26 | |
| Abdominal Organs | Obesity | Stomach | Abdominal vagus | Human | Non-selective | 5 kHz | 5 min on: 5 min off | Block of vagal signaling | Decrease in body weight | 57, 94 |
| Type 2 diabetes | Stomach | Abdominal vagus | Human | Non-selective | 5 kHz | 5 min on: 5 min off; 14 h/day | Block of vagal signaling | Decrease in body weight and HbA1C blood levels | 95 | |
| Abdominal Organs (cont.) | Obesity | Stomach | Abdominal vagus | Minipig | Non-selective | 30 Hz | 30 s on: 5 min off | Activation of multiple brain areas including olfactory bulb | Decrease in weight gain and food consumption | 105 |
| Obesity | Stomach | Serosal surface of stomach | Human | Non-selective | 40–120 Hz | Closed-loop, when eating is detected | Stimulation of vagal afferents | Sensation of satiety, decrease in body weight | 53, 75 | |
| Gastroparesis | Stomach | Serosal surface of stomach | Human | Non-selective | 14 Hz | 2 pulses on: 5 s off | Pacing of stomach activity, reflexive gastric accommodation | Increased gastric motility | 59 | |
| Gastroparesis | Stomach | Cervical vagus | Rat | Non-selective | 10 Hz | 20 s on: 40 s off | Activation of afferents triggering reflexive pyloric relaxation | Pyloric opening, increased gastric motility and emptying | 69 | |
| Crohn’s disease | Immune system | Cervical vagus | Human | Non-selective | 10 Hz | 30 s on: 5 min off | Increased vagal tone and equilibrated autonomic balance | Change in Crohn’s disease activity index | 20 | |
| Rheumatoid arthritis | Immune system | Cervical vagus | Human | Non-selective | 10 Hz | 30 s on: 5 min off | Increased vagal tone and equilibrated autonomic balance | Decreased TNF blood concentration | 65 | |
| Urinary incontinence | Bladder | S3 nerve root | Human | Non-selective | 14 Hz | Continuous | Activation of afferents to trigger reflexive bladder control | Improved urinary continence | 50 | |
| Urinary incontinence | Bladder | Pudendal nerve | Cat | Non-selective | 2–100 Hz | 2–40 s on | Activation of afferent or efferent pudendal pathways | Low-frequency: continence; high-frequency: micturition | 19 | |
| Urinary incontinence | Bladder | Pudendal nerve | Cat | Non-selective | 1–100 Hz | 20 s on | Activation of pudendal afferents to trigger reflex bladder contraction | High frequency bursts improve voiding | 23 | |
| Urinary incontinence | Bladder | S1-S2 dorsal root ganglia | Cat | Highly selective microstimulation | 1–33 Hz | 5 s on | Activation of afferent pathways to trigger bladder contraction and relaxation | Microstimulation can generate bladder contractions | 25 |
This table is not comprehensive; it only provides an overview of some the stimulation parameters used in electroceutical research.
The Future
Modern electroceutical devices use electrodes with small surface areas to achieve selective activation in the nerve interface and rely on miniaturization of all components, wireless communication and charging, low power consumption, closed-loop control, multiple contacts (often circumferential) with improved selectivity, and flexible self-sizing materials. We briefly discuss important active research topics.
Selectivity
An ongoing challenge is to refine electrode position in anatomical space and temporal stimulation patterns to achieve increased selective targeting of physiological pathways to treat disease progression. This is especially important in functionally heterogenous nerves, such as the vagus, which possesses bi-directional communication with numerous organs. Using more electrode contacts on a single device probe substantially increases the stimulation parameter space. Each of these electrodes can have unique stimulation amplitude, pulse duration, duty cycle, and stimulation frequency, and combinations of electrodes can be used in a multipolar configuration to improve selective targeting of sub-regions of the nerve. Additional electrodes lead to an exponential expansion in the possible stimulation parameter space, requiring advanced analytics and machine learning approaches to determine optimal stimulation parameters and to control stimulation in real-time for closed-loop applications (78).
Closed-Loop Control
Closed-loop control depends on a dynamic readout from which neuromodulation interventions can be adjusted. One simple example of this is the implantable cardio-defibrillator. When an abnormal electrical signal is detected from the heart, a current discharge is delivered to the heart in an attempt to “reset” cardiac electrical stability. The process repeats itself as necessary until normal rhythm is restored, the patient is transferred to in-patient care, or attempts at resuscitation are insufficient. As one contemplates future directions for closed-loop control, there are multiple potential sites for sensing that need to be form-fit to the homeostatic mechanisms that are to be targeted. These include 1) sensors designed to quantify neural activity from axons of passage or peripheral ganglia, 2) organ-specific readouts for electrical and/or mechanical function, or 3) chemical sensors deployed to the interstitial or vascular space to assess indexes of metabolism, neurochemical release, or markers of the immune response. A variety of these sensors could be used to “tune” the level of neuromodulation during initial treatment phases and then exert a sustained function during ongoing therapy. The biological systems themselves exhibit plasticity with time; neuromodulation therapies need to transition to closed-loop control so that they to can exhibit plasticity. Additionally, advancements in recording technologies are beginning to be applied and ultimately should be included in closed-loop device applications. Figure 3 shows two recent examples of recording whole organ function of the heart and stomach for closed-loop control of stimulation.
FIGURE 3.
Representative approaches to physiological sensing of heart and stomach organ function
These technologies can be used in closed-loop applications. A: stretchable thin-film array form-fit for recording multi-point unipolar electrograms from porcine cardiac surface with capabilities for delivering point-specific pacing anywhere within the array surface. Right: activation sequence in response to focal stimulation, as indicated in schematic. B: multi-site gastric planar electrodes. Each planar probe contains four electrode sites for microenvironment sensing or for use to compare with other recording sites across the serosal surface of the stomach (78). Right inset: from the ferret stomach.
Wireless Power Delivery
Recently, it was demonstrated that focused beam-forming energy can deliver wireless power to implanted electrodes (70). This technology displays little attenuation of signal strength using depths that are well beyond superficial implantation, such as intra-gastric placement in a porcine model (70). This potentially removes the need for an implanted battery, with possible follow-up surgery for device replacement. In addition, this approach, using a smaller form-factor device, could require less complex surgery and reduced tissue trauma. In addition, there is the recent use of transcutaneous electrical stimulation (67), but this is likely to be limited in specificity and depth of penetration.
Form-Fitting Electrodes
It is often difficult to size electrodes for close nerve contact, which is critical for reducing impedance to tissue while avoiding traumatic nerve compression. With lower impedance, less current is required to produce selective biological effects, which also reduces off-target responses. Cuff electrodes are manufactured in a variety of standard sizes and are generally nontraumatic if a proper size is chosen; but individual anatomy can make this difficult to accomplish in practice. Recently it was shown, using tract tracing techniques in a rat model, that cuff electrodes can produce trauma to efferent fibers if improperly sized (98). Newer materials can stretch and stick to nerves with improved contact with less trauma, e.g., hydrogel (56).
Other Technologies
Although electrical stimulation with implanted devices has been the dominant approach for modifying neural function, there are devices delivering different energy sources, such as various light wavelengths; for example, infrared and optogenetic approaches (58, 68). Additional methods include transcutaneous magnetic stimulation (79).
Sustained progress in electroceutical approaches should be closely connected to developing a deeper understanding of the underlying biological effects (108). Traditional device development, such as early efforts for VNS, focused on clinical end points, with much less research on biological mechanisms; however, these biological insights, including precise molecular and neurophysiological changes, are the golden keys to designing highly selective and effective electroceutical therapies.
Acknowledgments
This work was supported by National Institute of Health (NIH) grants. Authors have received research support from the NIH SPARC Program U18 TR-002205 (to C.C.H., L.E.F.), U18 EB-021772 (to C.C.H.), U18 EB-021799 (to J.L.A.), and OT2OD023848 (to J.L.A.) and other NIH mechanisms, including R03 CA-201962 (to C.C.H.) and UO1 EB-025138 (to J.L.A.). Technology in FIGURE 3A was developed as part of a NIH-SPARC U18 technology development partnership with Neuronexus (Ann Arbor, MI). Electrodes in FIGURE 3B were developed in collaboration with Dr. Bryan McLaughlin and MicroLeads, Inc. (Sommerville, MA), funded by an NIH-SPARC U18 translational project.
No conflicts of interest, financial or otherwise, are declared by the author(s).
C.C.H. and J.L.A. prepared figures; L.E.F. prepared the table; C.C.H., J.L.A., and L.E.F. drafted manuscript; C.C.H., J.L.A., and L.E.F. edited and revised manuscript; C.C.H., J.L.A., and L.E.F. approved final version of manuscript.
References
- 1.U.S. Food and Drug Administration Devices@FDA: Medtronic interstim sacral nerve stimulation therapy system (Online) (updated 2011). https://www.accessdata.fda.gov/scripts/cdrh/devicesatfda/index.cfm?db=pma&id=320384.
- 2.U.S. Food and Drug Administration VNS Therapy system: FDA, Premarket Approval (PMA) - Depression (Online) (updated 2005). https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P970003S050.
- 3.U.S. Food and Drug Administration VNS Therapy system: FDA, Premarket Approval (PMA) - Epilepsy (Online) (updated 1997). https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?ID=P970003.
- 4.Bioelectronics SPARC at NIH. Nat Biotechnol 32: 855, 2014. doi: 10.1038/nbt0914-855b.25203023 [DOI] [Google Scholar]
- 5.Amend B, Khalil M, Kessler TM, Sievert K-D. How does sacral modulation work best? Placement and programming techniques to maximize efficacy. Curr Urol Rep 12: 327–335, 2011. doi: 10.1007/s11934-011-0204-2. [DOI] [PubMed] [Google Scholar]
- 6.Andrews PL, Davis CJ, Bingham S, Davidson HI, Hawthorn J, Maskell L. The abdominal visceral innervation and the emetic reflex: pathways, pharmacology, and plasticity. Can J Physiol Pharmacol 68: 325–345, 1990. doi: 10.1139/y90-047. [DOI] [PubMed] [Google Scholar]
- 7.Apovian CM, Shah SN, Wolfe BM, Ikramuddin S, Miller CJ, Tweden KS, Billington CJ, Shikora SA. Two-year outcomes of vagal nerve blocking (vBloc) for the treatment of obesity in the ReCharge Trial. Obes Surg 27: 169–176, 2017. doi: 10.1007/s11695-016-2325-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Ardell JL. Heart failure: Mechanisms of spinal cord neuromodulation for heart disease. Nat Rev Cardiol 13: 127–128, 2016. doi: 10.1038/nrcardio.2016.8. [DOI] [PubMed] [Google Scholar]
- 9.Ardell JL, Andresen MC, Armour JA, Billman GE, Chen PS, Foreman RD, Herring N, O’Leary DS, Sabbah HN, Schultz HD, Sunagawa K, Zucker IH. Translational neurocardiology: preclinical models and cardioneural integrative aspects. J Physiol 594: 3877–3909, 2016. doi: 10.1113/JP271869. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ardell JL, Cardinal R, Vermeulen M, Armour JA. Dorsal spinal cord stimulation obtunds the capacity of intrathoracic extracardiac neurons to transduce myocardial ischemia. Am J Physiol Regul Integr Comp Physiol 297: R470–R477, 2009. doi: 10.1152/ajpregu.90821.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ardell JL, Nier H, Hammer M, Southerland EM, Ardell CL, Beaumont E, KenKnight BH, Armour JA. Defining the neural fulcrum for chronic vagus nerve stimulation: implications for integrated cardiac control. J Physiol 595: 6887–6903, 2017. doi: 10.1113/JP274678. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ardell JL, Rajendran PS, Nier HA, KenKnight BH, Armour JA. Central-peripheral neural network interactions evoked by vagus nerve stimulation: functional consequences on control of cardiac function. Am J Physiol Heart Circ Physiol 309: H1740–H1752, 2015. doi: 10.1152/ajpheart.00557.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Armour JA, Linderoth B, Arora RC, DeJongste MJ, Ardell JL, Kingma JG Jr, Hill M, Foreman RD. Long-term modulation of the intrinsic cardiac nervous system by spinal cord neurons in normal and ischaemic hearts. Auton Neurosci 95: 71–79, 2002. doi: 10.1016/S1566-0702(01)00377-0. [DOI] [PubMed] [Google Scholar]
- 14.Ben-Menachem E. Vagus nerve stimulation, side effects, and long-term safety. J Clin Neurophysiol 18: 415–418, 2001. doi: 10.1097/00004691-200109000-00005. [DOI] [PubMed] [Google Scholar]
- 15.Berthoud HR, Neuhuber WL. Functional and chemical anatomy of the afferent vagal system. Auton Neurosci 85: 1–17, 2000. doi: 10.1016/S1566-0702(00)00215-0. [DOI] [PubMed] [Google Scholar]
- 16.Berthoud HR, Powley TL. Characteristics of gastric and pancreatic responses to vagal stimulation with varied frequencies: evidence for different fiber calibers? J Auton Nerv Syst 19: 77–84, 1987. doi: 10.1016/0165-1838(87)90147-0. [DOI] [PubMed] [Google Scholar]
- 17.Binnie CD. Vagus nerve stimulation for epilepsy: a review. Seizure 9: 161–169, 2000. doi: 10.1053/seiz.1999.0354. [DOI] [PubMed] [Google Scholar]
- 18.Birmingham K, Gradinaru V, Anikeeva P, Grill WM, Pikov V, McLaughlin B, Pasricha P, Weber D, Ludwig K, Famm K. Bioelectronic medicines: a research roadmap. Nat Rev Drug Discov 13: 399–400, 2014. doi: 10.1038/nrd4351. [DOI] [PubMed] [Google Scholar]
- 19.Boggs JW, Wenzel BJ, Gustafson KJ, Grill WM. Frequency-dependent selection of reflexes by pudendal afferents in the cat. J Physiol 577: 115–126, 2006. doi: 10.1113/jphysiol.2006.111815. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Bonaz B, Sinniger V, Hoffmann D, Clarençon D, Mathieu N, Dantzer C, Vercueil L, Picq C, Trocmé C, Faure P, Cracowski JL, Pellissier S. Chronic vagus nerve stimulation in Crohn’s disease: a 6-month follow-up pilot study. Neurogastroenterol Motil 28: 948–953, 2016. doi: 10.1111/nmo.12792. [DOI] [PubMed] [Google Scholar]
- 21.Bonaz B, Sinniger V, Pellissier S. Anti-inflammatory properties of the vagus nerve: potential therapeutic implications of vagus nerve stimulation. J Physiol 594: 5781–5790, 2016. doi: 10.1113/JP271539. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Braunwald E, Vatner SF, Braunwald NS, Sobel BE. Carotid sinus nerve stimulation in the treatment of angina pectoris and supraventricular tachycardia. Calif Med 112: 41–50, 1970. [PMC free article] [PubMed] [Google Scholar]
- 23.Bruns TM, Bhadra N, Gustafson KJ. Variable patterned pudendal nerve stimuli improves reflex bladder activation. IEEE Trans Neural Syst Rehabil Eng 16: 140–148, 2008. doi: 10.1109/TNSRE.2007.914460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Bruns TM, Gaunt RA, Weber DJ. Estimating bladder pressure from sacral dorsal root ganglia recordings. Conf Proc IEEE Eng Med Biol Soc 2011: 4239–4242, 2011. doi: 10.1109/IEMBS.2011.6091052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Bruns TM, Weber DJ, Gaunt RA. Microstimulation of afferents in the sacral dorsal root ganglia can evoke reflex bladder activity. Neurourol Urodyn 34: 65–71, 2015. doi: 10.1002/nau.22514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Buckley U, Chui RW, Rajendran PS, Vrabec T, Shivkumar K, Ardell JL. Bioelectronic neuromodulation of the paravertebral cardiac efferent sympathetic outflow and its effect on ventricular electrical indices. Heart Rhythm 14: 1063–1070, 2017. doi: 10.1016/j.hrthm.2017.02.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Buckley U, Yamakawa K, Takamiya T, Andrew Armour J, Shivkumar K, Ardell JL. Targeted stellate decentralization: Implications for sympathetic control of ventricular electrophysiology. Heart Rhythm 13: 282–288, 2016. doi: 10.1016/j.hrthm.2015.08.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Cailotto C, Gomez-Pinilla PJ, Costes LM, van der Vliet J, Di Giovangiulio M, Némethova A, Matteoli G, Boeckxstaens GE. Neuro-anatomical evidence indicating indirect modulation of macrophages by vagal efferents in the intestine but not in the spleen. PLoS One 9: e87785, 2014. doi: 10.1371/journal.pone.0087785. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Cao J, Lu KH, Powley TL, Liu Z. Vagal nerve stimulation triggers widespread responses and alters large-scale functional connectivity in the rat brain. PLoS One 12: e0189518, 2017. doi: 10.1371/journal.pone.0189518 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Chae JH, Nahas Z, Lomarev M, Denslow S, Lorberbaum JP, Bohning DE, George MS. A review of functional neuroimaging studies of vagus nerve stimulation (VNS). J Psychiatr Res 37: 443–455, 2003. doi: 10.1016/S0022-3956(03)00074-8. [DOI] [PubMed] [Google Scholar]
- 31.Chandra R, Liddle RA. Modulation of pancreatic exocrine and endocrine secretion. Curr Opin Gastroenterol 29: 517–522, 2013. doi: 10.1097/MOG.0b013e3283639326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Chaturvedi A, Butson CR, Lempka SF, Cooper SE, McIntyre CC. Patient-specific models of deep brain stimulation: influence of field model complexity on neural activation predictions. Brain Stimul 3: 65–77, 2010. doi: 10.1016/j.brs.2010.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Chavan SS, Pavlov VA, Tracey KJ. Mechanisms and therapeutic relevance of neuro-immune communication. Immunity 46: 927–942, 2017. doi: 10.1016/j.immuni.2017.06.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Chen JD, Yin J, Wei W. Electrical therapies for gastrointestinal motility disorders. Expert Rev Gastroenterol Hepatol 11: 407–418, 2017. doi: 10.1080/17474124.2017.1298441. [DOI] [PubMed] [Google Scholar]
- 35.Chui RW, Buckley U, Rajendran PS, Vrabec T, Shivkumar K, Ardell JL. Bioelectronic block of paravertebral sympathetic nerves mitigates post-myocardial infarction ventricular arrhythmias. Heart Rhythm 14: 1665–1672, 2017. doi: 10.1016/j.hrthm.2017.06.025. [DOI] [PubMed] [Google Scholar]
- 36.de Lartigue G. Role of the vagus nerve in the development and treatment of diet-induced obesity. J Physiol 594: 5791–5815, 2016. doi: 10.1113/JP271538. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.de Leeuw PW, Bisognano JD, Bakris GL, Nadim MK, Haller H, Kroon AA; DEBuT-HT and Rheos Trial Investigators . Sustained reduction of blood pressure with baroreceptor activation therapy: results of the 6-year open follow-up. Hypertension 69: 836–843, 2017. doi: 10.1161/HYPERTENSIONAHA.117.09086. [DOI] [PubMed] [Google Scholar]
- 38.DeGiorgio C, Heck C, Bunch S, Britton J, Green P, Lancman M, Murphy J, Olejniczak P, Shih J, Arrambide S, Soss J. Vagus nerve stimulation for epilepsy: randomized comparison of three stimulation paradigms. Neurology 65: 317–319, 2005. doi: 10.1212/01.wnl.0000168899.11598.00. [DOI] [PubMed] [Google Scholar]
- 39.DiCarlo LA, Libbus I, Kumar HU, Mittal S, Premchand RK, Amurthur B, KenKnight BH, Ardell JL, Anand IS. Autonomic regulation therapy to enhance myocardial function in heart failure patients: the ANTHEM-HFpEF study. ESC Heart Fail 5: 95–100, 2018. doi: 10.1002/ehf2.12241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Ding X, Ardell JL, Hua F, McAuley RJ, Sutherly K, Daniel JJ, Williams CA. Modulation of cardiac ischemia-sensitive afferent neuron signaling by preemptive C2 spinal cord stimulation: effect on substance P release from rat spinal cord. Am J Physiol Regul Integr Comp Physiol 294: R93–R101, 2008. doi: 10.1152/ajpregu.00544.2007. [DOI] [PubMed] [Google Scholar]
- 41.Ding X, Hua F, Sutherly K, Ardell JL, Williams CA. C2 spinal cord stimulation induces dynorphin release from rat T4 spinal cord: potential modulation of myocardial ischemia-sensitive neurons. Am J Physiol Regul Integr Comp Physiol 295: R1519–R1528, 2008. doi: 10.1152/ajpregu.00899.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Dubeykovskaya Z, Si Y, Chen X, Worthley DL, Renz BW, Urbanska AM, Hayakawa Y, Xu T, Westphalen CB, Dubeykovskiy A, Chen D, Friedman RA, Asfaha S, Nagar K, Tailor Y, Muthupalani S, Fox JG, Kitajewski J, Wang TC. Neural innervation stimulates splenic TFF2 to arrest myeloid cell expansion and cancer. Nat Commun 7: 10517, 2016. doi: 10.1038/ncomms10517. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Florea VG, Cohn JN. The autonomic nervous system and heart failure. Circ Res 114: 1815–1826, 2014. doi: 10.1161/CIRCRESAHA.114.302589. [DOI] [PubMed] [Google Scholar]
- 44.Foreman RD, Linderoth B. Neural mechanisms of spinal cord stimulation. Int Rev Neurobiol 107: 87–119, 2012. doi: 10.1016/B978-0-12-404706-8.00006-1. [DOI] [PubMed] [Google Scholar]
- 45.Fukuda K, Kanazawa H, Aizawa Y, Ardell JL, Shivkumar K. Cardiac innervation and sudden cardiac death. Circ Res 116: 2005–2019, 2015. doi: 10.1161/CIRCRESAHA.116.304679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Furness JB, Stebbing MJ. The first brain: Species comparisons and evolutionary implications for the enteric and central nervous systems. Neurogastroenterol Motil 30: e13234, 2018. doi: 10.1111/nmo.13234. [DOI] [PubMed] [Google Scholar]
- 47.Ganz ML, Smalarz AM, Krupski TL, Anger JT, Hu JC, Wittrup-Jensen KU, Pashos CL. Economic costs of overactive bladder in the United States. Urology 75: 526–532, 2010. doi: 10.1016/j.urology.2009.06.096. [DOI] [PubMed] [Google Scholar]
- 48.Gustafson KJ, Artis E. A comparative analysis of fundamental nerve fascicular anatomy: Physiological limits and implications for nerve cuff electrode design. In: NIH NINDS Neural Interfaces Workshop; Bethesda, MD 2005 Bethesda, MD: National Institutes of Health, 2005. [Google Scholar]
- 49.Hales CM. Prevalence of obesity among adults and youth: United States 2015–2016. NCHS Data Brief 288: 1–8, 2017. [PubMed] [Google Scholar]
- 50.Herbison GP, Arnold EP. Sacral neuromodulation with implanted devices for urinary storage and voiding dysfunction in adults. Cochrane Database Syst Rev 2: CD004202, 2009. doi: 10.1002/14651858.CD004202.pub2. [DOI] [PubMed] [Google Scholar]
- 51.Highfield R. Mapping the body’s wiring for medical breakthroughs (Online). Newsweek, 2014. https://www.newsweek.com/2014/08/15/mapping-bodys-wiring-medical-breakthroughs-263318.html.
- 52.Hoffman HH, Schnitzlein HN. The numbers of nerve fibers in the vagus nerve of man. Anat Rec 139: 429–435, 1961. doi: 10.1002/ar.1091390312. [DOI] [PubMed] [Google Scholar]
- 53.Horbach T, Meyer G, Morales-Conde S, Alarcón I, Favretti F, Anselmino M, Rovera GM, Dargent J, Stroh C, Susewind M, Torres AJ. Closed-loop gastric electrical stimulation versus laparoscopic adjustable gastric band for the treatment of obesity: a randomized 12-month multicenter study. Int J Obes 40: 1891–1898, 2016. doi: 10.1038/ijo.2016.159. [DOI] [PubMed] [Google Scholar]
- 54.Horn CC, Kimball BA, Wang H, Kaus J, Dienel S, Nagy A, Gathright GR, Yates BJ, Andrews PL. Why can’t rodents vomit? A comparative behavioral, anatomical, and physiological study. PLoS One 8: e60537, 2013. doi: 10.1371/journal.pone.0060537 . A correction for this article is available at http://dx.doi.org/10.1371/annotation/1c75cd5d-9dde-4ace-8524-a4980745e804. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Horn CC, Zirpel L, Sciullo MG, Rosenberg DM. Impact of electrical stimulation of the stomach on gastric distension-induced emesis in the musk shrew. Neurogastroenterol Motil 28: 1217–1232, 2016. doi: 10.1111/nmo.12821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Huang W-C, Ong XC, Kwon IS, Gopinath C, Fisher LE, Wu H, Fedder GK, Gaunt RA, Bettinger CJ. Ultracompliant hydrogel-based neural interfaces fabricated by aqueous-phase microtransfer printing. Adv Funct Mater 28: 1801059, 2018. doi: 10.1002/adfm.201801059. [DOI] [Google Scholar]
- 57.Ikramuddin S, Blackstone RP, Brancatisano A, Toouli J, Shah SN, Wolfe BM, Fujioka K, Maher JW, Swain J, Que FG, Morton JM, Leslie DB, Brancatisano R, Kow L, O’Rourke RW, Deveney C, Takata M, Miller CJ, Knudson MB, Tweden KS, Shikora SA, Sarr MG, Billington CJ. Effect of reversible intermittent intra-abdominal vagal nerve blockade on morbid obesity: the ReCharge randomized clinical trial. JAMA 312: 915–922, 2014. doi: 10.1001/jama.2014.10540. [DOI] [PubMed] [Google Scholar]
- 58.Iyer SM, Montgomery KL, Towne C, Lee SY, Ramakrishnan C, Deisseroth K, Delp SL. Virally mediated optogenetic excitation and inhibition of pain in freely moving nontransgenic mice. Nat Biotechnol 32: 274–278, 2014. doi: 10.1038/nbt.2834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Jones MP, Ebert CC, Murayama K. Enterra for gastroparesis. Am J Gastroenterol 98: 2578, 2003. doi: 10.1111/j.1572-0241.2003.08681.x. [DOI] [PubMed] [Google Scholar]
- 60.Katsareli EA, Dedoussis GV. Biomarkers in the field of obesity and its related comorbidities. Expert Opin Ther Targets 18: 385–401, 2014. doi: 10.1517/14728222.2014.882321. [DOI] [PubMed] [Google Scholar]
- 61.Keast JR, Smith-Anttila CJ, Osborne PB. Developing a functional urinary bladder: a neuronal context. Front Cell Dev Biol 3: 53, 2015. doi: 10.3389/fcell.2015.00053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Khurram A, Ross SE, Sperry ZJ, Ouyang A, Stephan C, Jiman AA, Bruns TM. Chronic monitoring of lower urinary tract activity via a sacral dorsal root ganglia interface. J Neural Eng 14: 036027, 2017. doi: 10.1088/1741-2552/aa6801. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Kilgore KL, Bhadra N. Reversible nerve conduction block using kilohertz frequency alternating current. Neuromodulation 17: 242–255, 2014. doi: 10.1111/ner.12100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Koch KL, Hasler WL, Yates KP, Parkman HP, Pasricha PJ, Calles-Escandon J, Snape WJ, Abell TL, McCallum RW, Nguyen LA, Sarosiek I, Farrugia G, Tonascia J, Lee L, Miriel L, Hamilton F; NIDDK Gastroparesis Clinical Research Consortium (GpCRC) . Baseline features and differences in 48 week clinical outcomes in patients with gastroparesis and type 1 vs type 2 diabetes. Neurogastroenterol Motil 28: 1001–1015, 2016. doi: 10.1111/nmo.12800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Koopman FA, Chavan SS, Miljko S, Grazio S, Sokolovic S, Schuurman PR, Mehta AD, Levine YA, Faltys M, Zitnik R, Tracey KJ, Tak PP. Vagus nerve stimulation inhibits cytokine production and attenuates disease severity in rheumatoid arthritis. Proc Natl Acad Sci USA 113: 8284–8289, 2016. doi: 10.1073/pnas.1605635113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Lamothe D. New Obama plan calls for implanted computer chips to help U.S. troops heal (Online). Washington Post, 2014. https://www.washingtonpost.com/news/checkpoint/wp/2014/08/27/new-obama-plan-calls-for-implanted-computer-chips-to-help-u-s-troops-heal/?noredirect=on&utm_term=.bbfb47624a0d.
- 67.Lewine JD, Paulson K, Bangera N, Simon BJ. Exploration of the impact of brief noninvasive vagal nerve stimulation on EEG and event-related potentials. Neuromodulation. In press. doi: 10.1111/ner.12864. [DOI] [PubMed] [Google Scholar]
- 68.Lothet EH, Shaw KM, Lu H, Zhuo J, Wang YT, Gu S, Stolz DB, Jansen ED, Horn CC, Chiel HJ, Jenkins MW. Selective inhibition of small-diameter axons using infrared light. Sci Rep 7: 3275, 2017. doi: 10.1038/s41598-017-03374-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Lu KH, Cao J, Oleson S, Ward MP, Phillips RJ, Powley TL, Liu Z. Vagus nerve stimulation promotes gastric emptying by increasing pyloric opening measured with magnetic resonance imaging. Neurogastroenterol Motil 30: e13380, 2018. doi: 10.1111/nmo.13380 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Ma Y, Luo Z, Steiger C, Traverso G, Adib F. Enabling Deep-Tissue Networking for Miniature Medical Devices. SIGCOMM ’18: ACM SIGCOMM 2018 Conference. Budapest, Hungary: ACM, New York, 2018, p. 15. [Google Scholar]
- 71.Martelli D, McKinley MJ, McAllen RM. The cholinergic anti-inflammatory pathway: a critical review. Auton Neurosci 182: 65–69, 2014. doi: 10.1016/j.autneu.2013.12.007. [DOI] [PubMed] [Google Scholar]
- 72.Mazzone SB, Undem BJ. Vagal afferent innervation of the airways in health and disease. Physiol Rev 96: 975–1024, 2016. doi: 10.1152/physrev.00039.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Middleton JW, Lim K, Taylor L, Soden R, Rutkowski S. Patterns of morbidity and rehospitalisation following spinal cord injury. Spinal Cord 42: 359–367, 2004. doi: 10.1038/sj.sc.3101601. [DOI] [PubMed] [Google Scholar]
- 74.Mirza KB, Wildner K, Kulasekeram N, Cork S, Bloom S, Nikolic K, Toumazou C, (editors). Live demo: Platform for closed loop neuromodulation based on dual mode biosignals. 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Turin, Italy: BioCAS, 2017. [Google Scholar]
- 75.Morales-Conde S, Alarcón Del Agua I, Busetto L, Favretti F, Anselmino M, Rovera GM, Socas-Macias M, Barranco-Moreno A, Province-Azalde R, Torres AJ. Implanted closed-loop gastric electrical stimulation (CLGES) System with sensor-based feedback safely limits weight regain at 24 months. Obes Surg 28: 1766–1774, 2018. doi: 10.1007/s11695-017-3093-8. [DOI] [PubMed] [Google Scholar]
- 76.Morton JM, Shah SN, Wolfe BM, Apovian CM, Miller CJ, Tweden KS, Billington CJ, Shikora SA. Effect of vagal nerve blockade on moderate obesity with an obesity-related comorbid condition: the ReCharge Study. Obes Surg 26: 983–989, 2016. doi: 10.1007/s11695-016-2143-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Müller HHO, Moeller S, Lücke C, Lam AP, Braun N, Philipsen A. Vagus nerve stimulation (VNS) and other augmentation strategies for therapy-resistant depression (TRD): Review of the evidence and clinical advice for use. Front Neurosci 12: 239, 2018. doi: 10.3389/fnins.2018.00239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Nanivadekar AC, Miller D, Fulton S, McCall A, Wong L, Ogren JL, Chitnis G, McLaughlin BL, Fisher LE, Yates BJ, Horn CC. Towards a closed-loop therapy for gastroparesis: Characterising the effect of emetic stimuli on gastric myelectric activity in ferrets. In: Neural Interfaces Conference, 2018 June 25–27; Minneapolis, MN Minneapolis, MN: Neural Interfaces, 2018. [Google Scholar]
- 79.Nishikawa T, Saku K, Todaka K, Kuwabara Y, Arai S, Kishi T, Ide T, Tsutsui H, Sunagawa K. The challenge of magnetic vagal nerve stimulation for myocardial infarction -preliminary clinical trial. Conf Proc IEEE Eng Med Biol Soc 2017: 4321–4324, 2017. doi: 10.1109/EMBC.2017.8037812. [DOI] [PubMed] [Google Scholar]
- 80.Nitti VW. The prevalence of urinary incontinence. Rev Urol 3, Suppl 1: S2–S6, 2001. [PMC free article] [PubMed] [Google Scholar]
- 81.O’Grady G, Du P, Cheng LK, Egbuji JU, Lammers WJ, Windsor JA, Pullan AJ. Origin and propagation of human gastric slow-wave activity defined by high-resolution mapping. Am J Physiol Gastrointest Liver Physiol 299: G585–G592, 2010. doi: 10.1152/ajpgi.00125.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.O’Grady G, Egbuji JU, Du P, Cheng LK, Pullan AJ, Windsor JA. High-frequency gastric electrical stimulation for the treatment of gastroparesis: a meta-analysis. World J Surg 33: 1693–1701, 2009. doi: 10.1007/s00268-009-0096-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.O’Reardon JP, Cristancho P, Peshek AD. Vagus nerve stimulation (VNS) and treatment of depression: to the brainstem and beyond. Psychiatry (Edgmont) 3: 54–63, 2006. [PMC free article] [PubMed] [Google Scholar]
- 84.Panebianco M, Rigby A, Weston J, Marson AG. Vagus nerve stimulation for partial seizures. Cochrane Database Syst Rev 4: CD002896, 2015. doi: 10.1002/14651858.CD002896.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Pannek J, Kullik B. Does optimizing bladder management equal optimizing quality of life? Correlation between health-related quality of life and urodynamic parameters in patients with spinal cord lesions. Urology 74: 263–266, 2009. doi: 10.1016/j.urology.2009.02.047. [DOI] [PubMed] [Google Scholar]
- 86.Pavlov VA, Chavan SS, Tracey KJ. Molecular and functional neuroscience in immunity. Annu Rev Immunol 36: 783–812, 2018. doi: 10.1146/annurev-immunol-042617-053158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Pavlov VA, Tracey KJ. Neural circuitry and immunity. Immunol Res 63: 38–57, 2015. doi: 10.1007/s12026-015-8718-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Pelot NA, Behrend CE, Grill WM. Modeling the response of small myelinated axons in a compound nerve to kilohertz frequency signals. J Neural Eng 14: 046022, 2017. doi: 10.1088/1741-2552/aa6a5f. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Pelot NA, Grill WM. Effects of vagal neuromodulation on feeding behavior. Brain Res 1693: 180–187, 2018. doi: 10.1016/j.brainres.2018.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Premchand RK, Sharma K, Mittal S, Monteiro R, Dixit S, Libbus I, DiCarlo LA, Ardell JL, Rector TS, Amurthur B, KenKnight BH, Anand IS. Extended follow-up of patients with heart failure receiving autonomic regulation therapy in the ANTHEM-HF Study. J Card Fail 22: 639–642, 2016. doi: 10.1016/j.cardfail.2015.11.002. [DOI] [PubMed] [Google Scholar]
- 91.Rattay F. Analysis of models for external stimulation of axons. IEEE Trans Biomed Eng 33: 974–977, 1986. doi: 10.1109/TBME.1986.325670. [DOI] [PubMed] [Google Scholar]
- 92.Redshaw JD, Lenherr SM, Elliott SP, Stoffel JT, Rosenbluth JP, Presson AP, Myers JB; Neurogenic Bladder Research Group (NBRG.org) . Protocol for a randomized clinical trial investigating early sacral nerve stimulation as an adjunct to standard neurogenic bladder management following acute spinal cord injury. BMC Urol 18: 72, 2018. doi: 10.1186/s12894-018-0383-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Salavatian S, Beaumont E, Longpré JP, Armour JA, Vinet A, Jacquemet V, Shivkumar K, Ardell JL. Vagal stimulation targets select populations of intrinsic cardiac neurons to control neurally induced atrial fibrillation. Am J Physiol Heart Circ Physiol 311: H1311–H1320, 2016. doi: 10.1152/ajpheart.00443.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Sarr MG, Billington CJ, Brancatisano R, Brancatisano A, Toouli J, Kow L, Nguyen NT, Blackstone R, Maher JW, Shikora S, Reeds DN, Eagon JC, Wolfe BM, O’Rourke RW, Fujioka K, Takata M, Swain JM, Morton JM, Ikramuddin S, Schweitzer M, Chand B, Rosenthal R; EMPOWER Study Group . The EMPOWER study: randomized, prospective, double-blind, multicenter trial of vagal blockade to induce weight loss in morbid obesity. Obes Surg 22: 1771–1782, 2012. doi: 10.1007/s11695-012-0751-8. [DOI] [PubMed] [Google Scholar]
- 95.Shikora S, Toouli J, Herrera MF, Kulseng B, Zulewski H, Brancatisano R, Kow L, Pantoja JP, Johnsen G, Brancatisano A, Tweden KS, Knudson MB, Billington CJ. Vagal blocking improves glycemic control and elevated blood pressure in obese subjects with type 2 diabetes mellitus. J Obes 2013: 245683, 2013. doi: 10.1155/2013/245683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Shikora SA, Wolfe BM, Apovian CM, Anvari M, Sarwer DB, Gibbons RD, Ikramuddin S, Miller CJ, Knudson MB, Tweden KS, Sarr MG, Billington CJ. Sustained weight loss with vagal nerve blockade but not with sham: 18-month results of the ReCharge Trial. J Obes 2015: 365604, 2015. doi: 10.1155/2015/365604. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Shivkumar K, Ajijola OA, Anand I, Armour JA, Chen PS, Esler M, De Ferrari GM, Fishbein MC, Goldberger JJ, Harper RM, Joyner MJ, Khalsa SS, Kumar R, Lane R, Mahajan A, Po S, Schwartz PJ, Somers VK, Valderrabano M, Vaseghi M, Zipes DP. Clinical neurocardiology defining the value of neuroscience-based cardiovascular therapeutics. J Physiol 594: 3911–3954, 2016. doi: 10.1113/JP271870. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Somann JP, Albors GO, Neihouser KV, Lu KH, Liu Z, Ward MP, Durkes A, Robinson JP, Powley TL, Irazoqui PP. Chronic cuffing of cervical vagus nerve inhibits efferent fiber integrity in rat model. J Neural Eng 15: 036018, 2018. doi: 10.1088/1741-2552/aaa039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Song GQ, Sun Y, Foreman RD, Chen JD. Therapeutic potential of spinal cord stimulation for gastrointestinal motility disorders: a preliminary rodent study. Neurogastroenterol Motil 26: 377–384, 2014. doi: 10.1111/nmo.12273. [DOI] [PubMed] [Google Scholar]
- 100.Southerland EM, Milhorn DM, Foreman RD, Linderoth B, DeJongste MJ, Armour JA, Subramanian V, Singh M, Singh K, Ardell JL. Preemptive, but not reactive, spinal cord stimulation mitigates transient ischemia-induced myocardial infarction via cardiac adrenergic neurons. Am J Physiol Heart Circ Physiol 292: H311–H317, 2007. doi: 10.1152/ajpheart.00087.2006. [DOI] [PubMed] [Google Scholar]
- 101.Stavrakis S, Humphrey MB, Scherlag B, Iftikhar O, Parwani P, Abbas M, Filiberti A, Fleming C, Hu Y, Garabelli P, McUnu A, Peyton M, Po SS. Low-level vagus nerve stimulation suppresses post-operative atrial fibrillation and inflammation: a randomized study. JACC Clin Electrophysiol 3: 929–938, 2017. doi: 10.1016/j.jacep.2017.02.019. [DOI] [PubMed] [Google Scholar]
- 102.Talley NJ. Functional gastrointestinal disorders as a public health problem. Neurogastroenterol Motil 20, Suppl 1: 121–129, 2008. doi: 10.1111/j.1365-2982.2008.01097.x. [DOI] [PubMed] [Google Scholar]
- 103.Travagli RA, Anselmi L. Vagal neurocircuitry and its influence on gastric motility. Nat Rev Gastroenterol Hepatol 13: 389–401, 2016. doi: 10.1038/nrgastro.2016.76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Tse HF, Turner S, Sanders P, Okuyama Y, Fujiu K, Cheung CW, Russo M, Green MDS, Yiu KH, Chen P, Shuto C, Lau EOY, Siu CW. Thoracic Spinal Cord Stimulation for Heart Failure as a Restorative Treatment (SCS HEART study): first-in-man experience. Heart Rhythm 12: 588–595, 2015. doi: 10.1016/j.hrthm.2014.12.014. [DOI] [PubMed] [Google Scholar]
- 105.Val-Laillet D, Biraben A, Randuineau G, Malbert CH. Chronic vagus nerve stimulation decreased weight gain, food consumption and sweet craving in adult obese minipigs. Appetite 55: 245–252, 2010. doi: 10.1016/j.appet.2010.06.008. [DOI] [PubMed] [Google Scholar]
- 106.Vaseghi M, Shivkumar K. The role of the autonomic nervous system in sudden cardiac death. Prog Cardiovasc Dis 50: 404–419, 2008. doi: 10.1016/j.pcad.2008.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Vrabec T, Bhadra N, Van Acker G, Bhadra N, Kilgore K. Continuous direct current nerve block using multi contact high capacitance electrodes. IEEE Trans Neural Syst Rehabil Eng 25: 517–529, 2017. doi: 10.1109/TNSRE.2016.2589541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Waltz E. A spark at the periphery. Nat Biotechnol 34: 904–908, 2016. doi: 10.1038/nbt.3667. An erratum for this article is available at http://dx.doi.org/10.1038/nbt1216-1292b. [DOI] [PubMed] [Google Scholar]
- 109.Ward MP, Qing KY, Otto KJ, Worth RM, John SW, Irazoqui PP. A flexible platform for biofeedback-driven control and personalization of electrical nerve stimulation therapy. IEEE Trans Neural Syst Rehabil Eng 23: 475–484, 2015. doi: 10.1109/TNSRE.2014.2351271. [DOI] [PubMed] [Google Scholar]
- 110.Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, Das SR, de Ferranti S, Després JP, Fullerton HJ, Howard VJ, Huffman MD, Isasi CR, Jiménez MC, Judd SE, Kissela BM, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Magid DJ, McGuire DK, Mohler ER III, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Rosamond W, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Woo D, Yeh RW, Turner MB; Writing Group Members; American Heart Association Statistics Committee; Stroke Statistics Subcommittee . Heart Disease and Stroke Statistics—2016 update: a report from the American Heart Association. Circulation 133: e38–e360, 2016. doi: 10.1161/CIR.0000000000000350. [DOI] [PubMed] [Google Scholar]
- 111.Zeltser LM, Seeley RJ, Tschöp MH. Synaptic plasticity in neuronal circuits regulating energy balance. Nat Neurosci 15: 1336–1342, 2012. doi: 10.1038/nn.3219. [DOI] [PubMed] [Google Scholar]
- 112.Zile MR, Abraham WT, Weaver FA, Butter C, Ducharme A, Halbach M, Klug D, Lovett EG, Müller-Ehmsen J, Schafer JE, Senni M, Swarup V, Wachter R, Little WC. Baroreflex activation therapy for the treatment of heart failure with a reduced ejection fraction: safety and efficacy in patients with and without cardiac resynchronization therapy. Eur J Heart Fail 17: 1066–1074, 2015. doi: 10.1002/ejhf.299. [DOI] [PubMed] [Google Scholar]
- 113.Zipes DP, Neuzil P, Theres H, Caraway D, Mann DL, Mannheimer C, Van Buren P, Linde C, Linderoth B, Kueffer F, Sarazin SA, DeJongste MJL; DEFEAT-HF Trial Investigators . Determining the feasibility of spinal cord neuromodulation for the treatment of chronic systolic heart failure: The DEFEAT-HF Study. JACC Heart Fail 4: 129–136, 2016. doi: 10.1016/j.jchf.2015.10.006 . A correction for this article is available at http://dx.doi.org/10.1016/j.jchf.2018.05.001. [DOI] [PubMed] [Google Scholar]



