Transcutaneous Vagus Nerve Stimulation Enhances Probabilistic Learning

tVNS enhances various memory and learning mechanisms, but there is inconclusive evidence on whether probabilistic learning can be enhanced by tVNS. Here, we tested a simplified version of the probabilistic learning task with monetary rewards in a between-participants design with left and right-sided cymba conchae and tragus stimulation (compared to sham stimulation) in a sample of healthy individuals (n = 80, 64 women, on average 26.38 years old). tVNS enhances overall accuracy significantly (p = 4.09 x 10<sup>-04</sup>) and reduces response times (p = 1.1006 x 10<sup>-49</sup>) in the probabilistic learning phase. Reinforcement learning modelling of the data revealed that the tVNS group uses a riskier strategy, dedicates more time to stimulus encoding and motor processes and exhibits greater reward sensitivity relative to the sham group. The learning advantage for tVNS relative to sham persists (p = 0.005 for accuracy and p = 9.2501 × 10<sup>-27</sup> for response times) during an immediate extinction phase with continued stimulation in which feedback and reward were omitted. Our observations are in line with the proposal that tVNS enhances reinforcement learning in healthy individuals. This suggests that tVNS may be useful in contexts where fast learning and learning persistence in the absence of a reward is an advantage, for example, in the case of learning new habits.

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Publication Details

Journal
Psychophysiology
Published
2025-03-01
DOI
https://doi.org/10.1111/psyp.70037
Citations
2
Primary Topic
Vagus Nerve Stimulation Research
Type
article
Field-Weighted Citation Impact
1.68
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article

Transcutaneous Vagus Nerve Stimulation Enhances Probabilistic Learning

Resul Çakır, Petek Bilim, Maria G. Veldhuizen, İlkim Büyükgüdük et al.
2 citations
Psychophysiology
Vagus Nerve Stimulation Research
1.68
article

Transcutaneous Vagus Nerve Stimulation Enhances Probabilistic Learning

Resul Çakır, Petek Bilim, Maria G. Veldhuizen, İlkim Büyükgüdük, Ataberk Erdinç
article en
2 citations

Abstract

tVNS enhances various memory and learning mechanisms, but there is inconclusive evidence on whether probabilistic learning can be enhanced by tVNS. Here, we tested a simplified version of the probabilistic learning task with monetary rewards in a between-participants design with left and right-sided cymba conchae and tragus stimulation (compared to sham stimulation) in a sample of healthy individuals (n = 80, 64 women, on average 26.38 years old). tVNS enhances overall accuracy significantly (p = 4.09 x 10<sup>-04</sup>) and reduces response times (p = 1.1006 x 10<sup>-49</sup>) in the probabilistic learning phase. Reinforcement learning modelling of the data revealed that the tVNS group uses a riskier strategy, dedicates more time to stimulus encoding and motor processes and exhibits greater reward sensitivity relative to the sham group. The learning advantage for tVNS relative to sham persists (p = 0.005 for accuracy and p = 9.2501 × 10<sup>-27</sup> for response times) during an immediate extinction phase with continued stimulation in which feedback and reward were omitted. Our observations are in line with the proposal that tVNS enhances reinforcement learning in healthy individuals. This suggests that tVNS may be useful in contexts where fast learning and learning persistence in the absence of a reward is an advantage, for example, in the case of learning new habits.

PsychophysiologyVol. 62(3)
Toros University (TR), Bilkent University (TR), KTO Karatay University (TR), Resonance Research (United States) (US), Mersin Üniversitesi (TR)
Openalex Percentile: Top 17%
Vagus Nerve Stimulation Research
1.68
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