Pulsed tVNS Protocol and Reinforcement Learning
Pulsed Vagus Nerve Stimulation - A Novel Method to Modify Learning and Decision Making
1 other identifier
interventional
40
1 country
1
Brief Summary
The aim of this study is to investigate the potential of a phasic taVNS stimulation protocol for reinforcement learning. The investigators will disentangle its effects on learning actions and outcomes through the administration of pulsed stimulation during different stages of learning (stimulation during action vs. stimulation during outcome). This will provide insights into optimal stimulation timing and help determine whether pulsed vagal stimulation can be more effective when paired with instrumental actions or rewarding feedback. Developing a tool that non-invasively improves value-based decision-making by using pulsed stimulation would redefine the application options of taVNS. It will enable tVNS to act as a teaching signal comparable to physiological signals in reward-based learning. In the long run, this may inform targeted interventions for individuals with altered reward function, a key symptom in a range of mental disorders. As part of the study, The investigators will test three hypotheses: H1 - Instrument Learning Task: Participants will show improved action-outcome learning when positive feedback after a cue is paired with an effective high-intensity stimulation compared to sham stimulation (sham/taVNS). H2 - Instrumental Learning Task: Participants will show improved action-outcome learning when the action leading to a reward with higher probability (i.e., correct choice) is stimulated with high intensity stimulation. Again, this will only be observable for active but not sham stimulation (sham/taVNS). H3 - Functional Magnetic Resonance Imaging (fMRI): Behavioral gains in learning of the cues in the high-intensity active stimulation condition are correlated with higher signals in the midbrain and dorsal striatum during feedback (reward presentation) or action.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Nov 2023
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 27, 2023
CompletedStudy Start
First participant enrolled
November 28, 2023
CompletedFirst Posted
Study publicly available on registry
January 12, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2024
CompletedJanuary 12, 2024
January 1, 2024
7 months
November 27, 2023
January 3, 2024
Conditions
Outcome Measures
Primary Outcomes (6)
Choice accuracy
Quantified by the accuracy of action upon cue presentation during the Reinforcement Learning Task. Between-condition, within-subject effects (taVNS vs. Sham stimulation). Stimulation order and stimulation intensity will be used as covariates.
1 hour
Response times
Time taken by a participant to perform an action after cue presentation. Stimulation order and stimulation intensity will be used as covariates.
1 hour
Learning rate from a reinforcement learning model
Individual choices will be used to derive individual learning rates by modeling reinforcement learning using Q-learning. We will perform model comparisons (WAIC) to determine whether separate learning rates for tVNS and sham explain the data better. Additionally, we will use model comparisons to assess whether modulations of the learning rate taVNS specifically during action, feedback, or both will explain the data better. Moreover, we will use bootstrapping to compare learning rates between conditions (sham vs. tVNS). We will use Bayesian Hierarchical Modeling (STAN) for model estimation and model comparisons (WAIC). Stimulation order and stimulation intensity will be used as covariates.
1 hour
Reward sensitivity from reinforcement learning model
Individual choices will be used to derive the individual reward sensitivities by modeling reinforcement learning using Q-learning. We will perform model comparisons (WAIC) to determine whether separate reward sensitivities for tVNS and sham explain the data better. Additionally, we will use model comparisons to assess whether modulations of the reward sensitivity by taVNS specifically during action, feedback, or both will explain the data better. Moreover, we will use bootstrapping to compare reward sensitivities between conditions (sham vs. tVNS). We will use Bayesian Hierarchical Modeling (STAN) for model estimation and model comparisons (WAIC). Stimulation order and stimulation intensity will be used as covariates.
1 hour
Changes in brain response during cue presentation
taVNS-induced changes reward-related brain activity (3T). We will assess changes (tVNS vs. sham, full factorial in SPM) in during cue anticipation. We will assess changes in a mask including the striatum and midbrain defined with the Harvard Oxford Atlas including an improved midbrain.
1 hour
Changes in brain response associated with reward prediction errors
taVNS-induced changes reward-related brain activity (3T). We will compare changes (tVNS vs. sham, full factorial in SPM) in the model-based fMRI contrasts representing reward prediction errors at feedback presentation. Since behavioral changes in model parameters affect model-based regressors, they may introduce changes unrelated to neural effects. We will first compare models (BIC) to determine whether individual-level parameters or group-level parameters explain the neural data better. We then test taVNS-induced changes in the winning model and report changes in the other one as sensitivity analyses. We will assess correlated brain activation in a mask including the striatum and midbrain defined with the Harvard Oxford Atlas including an improved midbrain.
1 hour
Secondary Outcomes (3)
Stimulation intensity
2 minutes post stimulation
Changes in brain response win vs. loss
1 hour
Changes in brain response associated with expected value during cue presentation
1 hour
Study Arms (2)
taVNS stimulation
EXPERIMENTALtaVNS is a non-invasive technique to stimulate the auricular branch of the vagus nerve. Transcutaneous electrodes are placed in the cymba concha of the ear and short bursts (20Hz, 1s, 400µs pulse widths) of stimulation are delivered either in parallel to the action or the feedback. Stimulation strength is individually calibrated. Stimulation lasts \~1h in the session.
sham stimulation
SHAM COMPARATORStimulation at the earlobe that is not innervated by the vagus nerve with the same parameters (short bursts, 20Hz, 1s, 400µs pulse widths, delivered in parallel to the action or the feedback). Stimulation strength is individually calibrated. Stimulation lasts \~1h throughout the study. Stimulation lasts \~1h in the session.
Interventions
Non-invasive stimulation of the auricular branch of the vagus nerve (cymba conchae). Research device from tVNS technologies.
Non-invasive stimulation of the ear lob (not innervated by the vagus nerve). Research device from tVNS technologies.
Eligibility Criteria
You may qualify if:
- Age between 18 and 35
- Body-Mass-Index between 18.5 and 30.0 kg/m2
- Providing written informed consent
- Normal or corrected-to-normal vision
You may not qualify if:
- acute:
- skin lesions at the stimulation site (e.g., wounds, inflammation),
- earrings or piercings on the left or right ear which cannot be removed,
- implants (pacemaker, cochlear implant, cerebral shunt),
- required permanent use of hearing aid,
- pregnant or nursing,
- other contraindications for MRI (e.g. claustrophobia) lifetime:
- brain injury,
- schizophrenia,
- bipolar disorder,
- severe substance use disorders,
- coronary heart disease,
- stroke,
- diabetes,
- epilepsy,
- +6 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Section of Medical Psychology, University Hospital Bonn
Bonn, Germany
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- BASIC SCIENCE
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor of Medical Psychology
Study Record Dates
First Submitted
November 27, 2023
First Posted
January 12, 2024
Study Start
November 28, 2023
Primary Completion
June 30, 2024
Study Completion
June 30, 2024
Last Updated
January 12, 2024
Record last verified: 2024-01