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Noninvasive Vagus Nerve Stimulation (VNS) for Neuromotor Adaptations

Noninvasive Vagus Nerve Stimulation (VNS) for Neuromotor Adaptations

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03628976
Enrollment
24
Registered
2018-08-14
Start date
2019-05-20
Completion date
2021-06-28
Last updated
2022-09-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy Young Adults

Keywords

tVNS, training, neuromotor adaptation

Brief summary

The study will examine how electrical stimulation of vagus nerve (i.e. nerve around the outer ear) from the skin surface during motor training influences a brain hormone (called norepinephrine), brain activity, and motor performance.

Detailed description

Motor function is compromised with advanced age, and motor impairment is involved in various neuromotor injuries and disorders including stroke, spinal cord injury, amputation, and aging. Development of effective interventions for facilitating neuromotor adaptation is essential for accelerating or augmenting rehabilitation outcomes in the control of impaired limbs. The ultimate goal of the study is to find non-pharmacological and non-invasive neuromodulating interventions for enhancing the rehabilitation outcomes that may be applied to individuals with impaired motor function. In rats, implanted afferent vagus nerve stimulation paired with motor training enhanced neuromotor adaptation and motor recovery most likely through increased release of central neuromodulators that originate from the brainstem. The investigators propose to translate the findings in rats into humans by applying vagus nerve stimulation noninvasively. Transcutaneous VNS (tVNS) can noninvasively activate the brainstem including locus coeruleus, where norepinephrine (i.e. neuromodulator) is synthesized. However, it is unknown whether tVNS leads to increasing neuromodulators and facilitating neuromotor adaptations when combined with motor training in humans. With potential applicability of this novel intervention for facilitating neuromotor adaptation to various clinical human populations in future scope, it is essential to start with the basic understanding about the effect of tVNS on the neuromotor system and training-induced adaptation in neuromotor behavior in non-disabled humans. The overarching hypothesis is that an application of tVNS increases central norepinephrine and facilitates training-induced neuromotor adaptations in humans. The specific aim is to examine the effect of tVNS on central norepinephrine and training-induced neuromotor adaptations in humans. The effect of applying tVNS concurrently to visuomotor training will be investigated by comparing the changes in central norepinephrine and changes in the visuomotor skill and corticospinal excitability due to training with and without tVNS (sham) in non-disabled humans. The visuomotor skill will be assessed with the root-mean-square error of the produced force against the target force, which will be normalized to the maximal voluntary contraction force (MVC) . The investigators expect that subjects with concurrent tVNS during training show greater increases in the visuomotor skill and corticospinal excitability after training. The investigators also expect that tVNS increases central norepinephrine, and the amount of neuromotor adaptations due to training is associated with that of tVNS-induced increase in central norepinephrine. These expected findings will be the first evidence on the efficacy of concurrent tVNS with motor training for upregulating central norepinephrine and facilitating training-induced neuromotor adaptations in humans. They will open new scientific and clinical fields of study that will lead to the creation of motor rehabilitation paired with tVNS that can enhance rehabilitation outcomes in individuals with motor impairment. Demonstration of associated changes between central norepinephrine and neuromotor adaptations due to tVNS in non-disabled humans is a necessary step for applying tVNS to rehabilitation with the understanding of the underlying mechanism and for potentially using central norepinephrine as a predictor of tVNS efficacy in rehabilitation.

Interventions

OTHERtVNS

Intervention

Same finger training for both arms

Sponsors

National Institute of Neurological Disorders and Stroke (NINDS)
CollaboratorNIH
Georgia Institute of Technology
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
DOUBLE (Subject, Investigator)

Eligibility

Sex/Gender
ALL
Age
18 Years to 39 Years
Healthy volunteers
Yes

Inclusion criteria

* Men and women in the age range of 18-39 years will be recruited. All subjects will be healthy and right-handed. Subjects will match the ethnic distribution in the local community.

Exclusion criteria

* To ensure the safety associated with TMS and transcutaneous afferent vagus nerve stimulation, following adults will be excluded as in our previous studies (Buharin et al. 2013, 2014) and following the standard recommendations (Keel et al. 2001): 1. Younger than 18 years old or older than 39 years old 2. Left-handed 3. Skilled use of hands (e.g. professional musician) 4. High blood pressure (\>140/90 mmHg) 5. Had cardiovascular problems 6. Obese (Body Mass Index: \> 30 kg/m2) 7. Had sensory deficits in your limb 8. Had alcoholism 9. Had psychiatric disorders 10. Had an adverse reaction to TMS (a technique for non-invasive neural stimulation from the brain) 11. Had a seizure (an abnormal phenomenon of the brain marked by temporary abnormal neuronal activity. Symptoms include involuntary changes in body movement or function, sensation, awareness, or behavior.) 12. Someone in your family has epilepsy (recurrent seizures marking excessive synchronous neuronal activity in the brain) 13. Had an EEG (measurement of the electrical activity of the brain through the use of surface electrodes placed on the scalp) for clinical diagnosis 14. Had a stroke (the loss of brain function due to an interruption in the blood supply to the brain) 15. Had a head injury (include neurosurgery) that required a visit to a hospital 16. Suffer from frequent or severe headaches (e.g., migraine headaches within the last six months) 17. Have any metal permanently in your head (outside the mouth) such as shrapnel, surgical clips, or fragments from welding or metal work. Piercings and other metals on your head are OK if they will be removed before the study. 18. Have any implanted devices such as cardiac pacemakers (a medical device that uses electrical signals to regulate heart beat), medical pumps, or intra-cardiac lines 19. Had any other brain-related condition 20. Had any illness that caused brain injury (i.e. meningitis, aneurysm, brain tumor) 21. Had severe disease such as cardiologic, pulmonary, renal, endocrinal (hyperthyroidism or hypothyroidism), gastrointestinal or others. 22. Taking any medications other than over-the-counter medicine 23. Suspect you might be pregnant (if woman) 24. Have hearing problems, such as impaired hearing, tinnitus, etc.

Design outcomes

Primary

MeasureTime frameDescription
Visuomotor SkillDay 1 (Baseline), Day 2 - 4, and Day 5 (Post)Visuomotor skill was assessed with the amount of force error against the target trajectory. In the visuomotor task, subjects produced finger force against a force transducer to match a target trajectory as close as possible. The target was made of three low-frequency sinusoids with each sinusoid at different frequencies and amplitudes. This pattern spanned 20 s. The data in the middle 16 s were used for data analysis. For determining the visuomotor skill, the deviation of produced force from the target trajectory was calculated as the root-mean-square error. In this calculation, the difference between the target and produced force at each sampling point was squared, the squared values were summed across sampling points, and the squared root value of the summed value was determined and normalized to the maximal voluntary contraction (MVC) force. The data were expressed as the ratio of the baseline value (no unit). A lower value is considered a better outcome.
Brain Excitability (MEP Amplitude)Day 1 (Baseline) and Day 5 (Post)Brain excitability was assessed with motor evoked potential (MEP) amplitude of the resting first dorsal interosseus muscles as resting corticospinal excitability. Surface EMG electrodes were attached over the muscle in a belly-tendon configuration. Subjects received single-pulse TMS to evoke MEP in the muscle. MEP was obtained from the surface EMG using a high-gain EMG preamplifier. Peak-to-peak- amplitude of MEP in response to TMS were averaged across the intensities of 115-160% relative to the resting motor threshold. Additionally, maximal M-wave amplitude was obtained by stimulating the ulnar nerve that innervates the muscle. MEP amplitude was normalized to the maximal M-wave amplitude of the muscle, so it was expressed in % of maximal M-wave. A higher value is considered higher brain excitability and a better outcome.
Salivary Amylase ActivityDay 3Central noradrenaline was assessed indirectly with salivary amylase activity. Saliva was sampled via salivette strips in the resting state before and after the training. Subjects were seated and rested for 5 minutes before sampling the samples. Collected saliva samples were immediately analyzed by using a dry-chemistry system automatically. Three saliva samples were analyzed and averaged across samples. Salivary amylase activity was measured and expressed in kU/I (kilo units per liter).

Countries

United States

Participant flow

Recruitment details

Participants were recruited from May 2019 to June 2021 through flyers posted in the classroom buildings and recreational buildings on the Georgia Tech campus.

Pre-assignment details

There was no significant event in the study that occurred after participant enrollment.

Participants by arm

ArmCount
Sham-tVNS to Ear Lobe
Sham-tVNS will be applied to the ear lobe. tVNS: Intervention Motor training: Same finger training for both arms
12
tVNS to Tragus
tVNS will be applied to the tragus. tVNS: Intervention Motor training: Same finger training for both arms
12
Total24

Baseline characteristics

CharacteristicTotalSham-tVNS to Ear LobetVNS to Tragus
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
0 Participants0 Participants0 Participants
Age, Categorical
Between 18 and 65 years
24 Participants12 Participants12 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
8 Participants3 Participants5 Participants
Race (NIH/OMB)
Black or African American
0 Participants0 Participants0 Participants
Race (NIH/OMB)
More than one race
1 Participants1 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
15 Participants8 Participants7 Participants
Sex: Female, Male
Female
11 Participants6 Participants5 Participants
Sex: Female, Male
Male
13 Participants6 Participants7 Participants
Visuomotor Skill1.76 % of maximal voluntary contraction (MVC)
STANDARD_DEVIATION 0.55
1.89 % of maximal voluntary contraction (MVC)
STANDARD_DEVIATION 0.54
1.62 % of maximal voluntary contraction (MVC)
STANDARD_DEVIATION 0.56

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 120 / 12
other
Total, other adverse events
0 / 120 / 12
serious
Total, serious adverse events
0 / 120 / 12

Outcome results

Primary

Brain Excitability (MEP Amplitude)

Brain excitability was assessed with motor evoked potential (MEP) amplitude of the resting first dorsal interosseus muscles as resting corticospinal excitability. Surface EMG electrodes were attached over the muscle in a belly-tendon configuration. Subjects received single-pulse TMS to evoke MEP in the muscle. MEP was obtained from the surface EMG using a high-gain EMG preamplifier. Peak-to-peak- amplitude of MEP in response to TMS were averaged across the intensities of 115-160% relative to the resting motor threshold. Additionally, maximal M-wave amplitude was obtained by stimulating the ulnar nerve that innervates the muscle. MEP amplitude was normalized to the maximal M-wave amplitude of the muscle, so it was expressed in % of maximal M-wave. A higher value is considered higher brain excitability and a better outcome.

Time frame: Day 1 (Baseline) and Day 5 (Post)

ArmMeasureGroupValue (MEAN)Dispersion
Sham-tVNS to Ear LobeBrain Excitability (MEP Amplitude)Day 5 (Post) before practice13.3 percentage of maximal M-waveStandard Deviation 19.9
Sham-tVNS to Ear LobeBrain Excitability (MEP Amplitude)Day 1 (Baseline) before practice10.2 percentage of maximal M-waveStandard Deviation 6.4
Sham-tVNS to Ear LobeBrain Excitability (MEP Amplitude)Day 5 (Post) after practice10.1 percentage of maximal M-waveStandard Deviation 6.9
Sham-tVNS to Ear LobeBrain Excitability (MEP Amplitude)Day 1 (Baseline) after practice11.2 percentage of maximal M-waveStandard Deviation 6.8
tVNS to TragusBrain Excitability (MEP Amplitude)Day 5 (Post) after practice11.8 percentage of maximal M-waveStandard Deviation 7.3
tVNS to TragusBrain Excitability (MEP Amplitude)Day 1 (Baseline) after practice17.7 percentage of maximal M-waveStandard Deviation 18.6
tVNS to TragusBrain Excitability (MEP Amplitude)Day 5 (Post) before practice11.0 percentage of maximal M-waveStandard Deviation 8.6
tVNS to TragusBrain Excitability (MEP Amplitude)Day 1 (Baseline) before practice13.2 percentage of maximal M-waveStandard Deviation 10.4
p-value: 0.764ANOVA
Primary

Salivary Amylase Activity

Central noradrenaline was assessed indirectly with salivary amylase activity. Saliva was sampled via salivette strips in the resting state before and after the training. Subjects were seated and rested for 5 minutes before sampling the samples. Collected saliva samples were immediately analyzed by using a dry-chemistry system automatically. Three saliva samples were analyzed and averaged across samples. Salivary amylase activity was measured and expressed in kU/I (kilo units per liter).

Time frame: Day 3

Population: The number of participants is 11 (not 12) in each group because data were not obtained in one subject in the Sham-tVNS group and one subject in tVNS group due to technical difficulties during the measurement.

ArmMeasureGroupValue (MEAN)Dispersion
Sham-tVNS to Ear LobeSalivary Amylase ActivityBefore intervention48.8 kU/lStandard Deviation 25.1
Sham-tVNS to Ear LobeSalivary Amylase ActivityAfter intervention47.4 kU/lStandard Deviation 15.7
tVNS to TragusSalivary Amylase ActivityBefore intervention46.0 kU/lStandard Deviation 22.5
tVNS to TragusSalivary Amylase ActivityAfter intervention52.4 kU/lStandard Deviation 19.7
p-value: 0.446ANOVA
Primary

Visuomotor Skill

Visuomotor skill was assessed with the amount of force error against the target trajectory. In the visuomotor task, subjects produced finger force against a force transducer to match a target trajectory as close as possible. The target was made of three low-frequency sinusoids with each sinusoid at different frequencies and amplitudes. This pattern spanned 20 s. The data in the middle 16 s were used for data analysis. For determining the visuomotor skill, the deviation of produced force from the target trajectory was calculated as the root-mean-square error. In this calculation, the difference between the target and produced force at each sampling point was squared, the squared values were summed across sampling points, and the squared root value of the summed value was determined and normalized to the maximal voluntary contraction (MVC) force. The data were expressed as the ratio of the baseline value (no unit). A lower value is considered a better outcome.

Time frame: Day 1 (Baseline), Day 2 - 4, and Day 5 (Post)

ArmMeasureGroupValue (MEAN)Dispersion
Sham-tVNS to Ear LobeVisuomotor SkillDay 20.870 Ratio of the baseline valueStandard Deviation 0.213
Sham-tVNS to Ear LobeVisuomotor SkillDay 40.597 Ratio of the baseline valueStandard Deviation 0.215
Sham-tVNS to Ear LobeVisuomotor SkillDay 30.616 Ratio of the baseline valueStandard Deviation 0.151
Sham-tVNS to Ear LobeVisuomotor SkillDay 5 (Post)0.551 Ratio of the baseline valueStandard Deviation 0.251
Sham-tVNS to Ear LobeVisuomotor SkillDay 1 (Baseline)1 Ratio of the baseline valueStandard Deviation 0
tVNS to TragusVisuomotor SkillDay 5 (Post)0.597 Ratio of the baseline valueStandard Deviation 0.149
tVNS to TragusVisuomotor SkillDay 1 (Baseline)1 Ratio of the baseline valueStandard Deviation 0
tVNS to TragusVisuomotor SkillDay 20.969 Ratio of the baseline valueStandard Deviation 0.259
tVNS to TragusVisuomotor SkillDay 30.805 Ratio of the baseline valueStandard Deviation 0.198
tVNS to TragusVisuomotor SkillDay 40.683 Ratio of the baseline valueStandard Deviation 0.137
p-value: 0.0096ANOVA

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026