The Effects of Transcutaneous Auricular Vagus Nerve Stimulation on Language Retention in College-Aged Students
Bibliographic record
Abstract
"As our world is becoming more globally connected, the ability to speak another language is increasingly becoming a valuable skill. While there exist many training programs to help acquire a new language, this task becomes increasingly difficult with age– thus presenting the need for a novel method of intervention to assist in this process. Considering this increasing difficulty and poor outcomes of existing methods, a new biologically based intervention could be valuable for improving learning and memory. Previous research conducted in our lab has shown that noninvasive transcutaneous auricular vagus nerve stimulation (taVNS) is an effective intervention in memory-based reading comprehension and letter-sound learning (Thakkar et al., 2020;2023). TaVNS has also been shown to boost associative memory (Jacobs et al., 2015), spatial working memory (Sun et al., 2021), and emotional memory (Ventura-Bort et al., 2021). Despite this knowledge, little is known about taVNS and its effects on long-lasting language retention. Thus, this current study explores whether transcutaneous auricular vagus nerve stimulation can improve learning and retention of vocabulary words in a new language when paired with a training routine. Typically developing college-aged individuals were recruited through an online participant pool. All individuals were screened for age, IQ, reading, memory, and attention for inclusion in this study. The participants completed a one-hour training session in which they were presented with 30 Palauan nouns, the respective English translations, as well as images of the nouns. During this time, the participants received sham, 5 Hz, or 25 Hz stimulation to the posterior of the left tragus. Prior to training, participants completed a translation test to measure their existing knowledge of the Palauan language, and this test was repeated immediately after training and again seven days later to measure learning and retention. After analysis of the results, no effect was found for any stimulation group immediately after training. At retention, however, the 25 Hz taVNS group showed significantly greater performance than both the sham and 5 Hz taVNS groups on recall of material. There was also no statistical difference between the performance of the sham and 5 Hz taVNS groups. Lastly, the results further suggest that stimulation intensity does not impact efficacy of the intervention. These data suggest that taVNS, regardless of stimulation intensity, may be used to help in the retention of novel words of a new language. These data will be important for ongoing research examining the uses of taVNS, its use as an intervention for learning and retention of a new language, as well as its potential uses in other areas of cognition."
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".