ArticleBrain stimulation
High-resolution computational modeling of the current flow in the outer ear during transcutaneous auricular Vagus Nerve Stimulation (taVNS).
Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Auricular Vagus Nerve Stimulation Reduces Postoperative Delirium After Major Non-Cardiac Surgery in Elderly Patients.Clinical interventions in aging · 2026Trial
- Blue enriched light modulates pupil dilation induced by transcutaneous vagus nerve stimulation.Scientific reports · 2025Trial
- Investigation of the Effectiveness of Transcutaneous Auricular Vagus Nerve Stimulation (taVNS) and Vestibular Rehabilitation in Patients with Unilateral Vestibular Hypofunction.Medicina (Kaunas, Lithuania) · 2025Trial
- Transcutaneous Auricular Vagus Nerve Stimulation Attenuates Early Increases in Heart Rate Associated With the Cold Pressor Test.Neuromodulation : journal of the International Neuromodulation Society · 2024Trial
- Site-Dependent Patterns of Affective Interference Control and Inhibitory Braking Following Auricular Stimulation.Applied psychophysiology and biofeedback · 2026Article
- An Annotation-Free Pipeline for 3D Auricular Bowl Atlas Construction and Statistical Shape Modelling from Surface Scans.Sensors (Basel, Switzerland) · 2026Article
- Differential Gamma Responses to Transcutaneous Auricular Vagus Nerve Stimulation Revealed by Human Intracranial Recordings.Neuromodulation : journal of the International Neuromodulation Society · 2026Article
- The optimization of neuroprosthetic interfaces relying on biophysical and surrogate digital twins.npj biomedical innovations · 2026Review
- Bridging the gap from mechanism to clinic: a translational perspective on taVNS for gastrointestinal disorders.Frontiers in neuroscience · 2026Review
- Transcutaneous auricular vagus nerve stimulation: mechanisms, applications, and research progress.Frontiers in neuroscience · 2026Review
- Computational Models of High-Definition Electroconvulsive Therapy for Focal or Multitargeting Treatment.The journal of ECT · 2025Article
- Role of frequency-dependent and capacitive tissue properties in spinal cord stimulation models.Journal of neural engineering · 2025Article
- Cholinergic reflex control of inflammation: mechanistic and translational advances in transcutaneous auricular vagus nerve stimulation across rheumatic, metabolic, and postoperative disorders.Frontiers in immunology · 2025Review
- Computational modeling of autonomic nerve stimulation: Vagus et al.Current opinion in biomedical engineering · 2024Article
- Transcutaneous auricular vagus nerve stimulation enhances short-latency afferent inhibition via central cholinergic system activation.Scientific reports · 2024Article
- Current status of transcutaneous auricular vagus nerve stimulation for tinnitus: a narrative review of modern research.Frontiers in neuroscience · 2024Review
- Expiratory-gated Transcutaneous Auricular Vagus Nerve Stimulation (taVNS) does not Further Augment Heart Rate Variability During Slow Breathing at 0.1 Hz.Applied psychophysiology and biofeedback · 2023Article
- Multi-session transcutaneous auricular vagus nerve stimulation for Parkinson's disease: evaluating feasibility, safety, and preliminary efficacy.Frontiers in neurology · 2023Article
- State of the art: non-invasive electrical stimulation for the treatment of chronic tinnitus.Therapeutic advances in chronic disease · 2023Review
- A pilot randomized controlled trial of supervised, at-home, self-administered transcutaneous auricular vagus nerve stimulation (taVNS) to manage long COVID symptoms.Bioelectronic medicine · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundTranscutaneous auricular Vagus Nerve Stimulation (taVNS) applies low-intensity electrical current to the ear with the intention of activating the auricular branch of the Vagus nerve. The sensitivity and selectivity of stimulation applied to the ear depends on current flow pattern produced by a given electrode montage (size and placement).
objectiveWe compare different electrodes designs for taVNS considering both the predicted peak electric fields (sensitivity) and their spatial distribution (selectivity).
methodsBased on optimized high-resolution (0.47 mm) T1 and T2 weighted MRI, we developed an anatomical model of the left ear and the surrounding head tissues including brain, CSF/meninges, skull, muscle, blood vessels, fat, cartilage, and skin. The ear was further segmented into 6 regions of interest (ROI) based on various nerve densities: cavum concha, cymba concha, crus of helix, tragus, antitragus, and earlobe. A range of taVNS electrode montages were reproduced spanning varied electrodes sizes and placements over the tragus, cymba concha, earlobe, cavum concha, and crus of helix. Electric field across the ear (from superficial skin to cartilage) for each montage at 1 mA or 2 mA taVNS, assuming an activation threshold of 6.15 V/m, 12.3 V/m or 24.6 V/m was predicted using a Finite element method (FEM). Finally, considering every ROI, we calculated the sensitivity and selectivity of each montage.
resultsCurrent flow patterns through the ear were highly specific to the electrode montage. Electric field was maximal at the ear regions directly under the electrodes, and for a given total current, increases with decreasing electrode size. Depending on the applied current and nerves threshold, activation may also occur in the regions between multiple anterior surface electrodes. Each considered montage was selective for one or two regions of interest. For example, electrodes across the tragus restricted significant electric field to the tragus. Stimulation across the earlobe restricted significant electric field to the earlobe and the antitragus. Because of this relative selectivity, use of control ear montages in experimental studies, support testing of targeting. Relative targeting was robust across assumptions of activation threshold and tissue properties. DISCUSSION: Computational models provide additional insight on how details in electrode shape and placement impact sensitivity (how much current is needed) and selectivity (spatial distribution), thereby supporting analysis of existing approaches and optimization of new devices. Our result suggest taVNS current patterns and relative target are robust across individuals, though (variance in) axon morphology was not represented.
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