ArticleBrain imaging and behavior2022
Five weeks of intermittent transcutaneous vagus nerve stimulation shape neural networks: a machine learning approach.
Article in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Transcutaneous auricular vagus nerve stimulation may improve cognitive deficits in neuropsychiatric diseases-a systematic review.Frontiers in aging neuroscience · 2026Pooled it
- Impact of neuroregulatory interventions upon weight in patients with mental illness: a meta-analysis of randomised controlled trials.BMC psychiatry · 2025Pooled it
- Computational Insights Into Smart Bioelectronics in Digital Health Care (2020-2024): Topic Modeling Study.JMIR medical informatics · 2026Review
- Brain‑heart axis: Neurostimulation techniques in ischemic heart disease (Review).International journal of molecular medicine · 2025Review
- Combined minimally invasive vagal cranial nerve and trigeminocervical complex peripheral nerve stimulation produces prolonged improvement of severe painful peripheral neuropathy and hyperglycemia in type 2 diabetes.Frontiers in neuroscience · 2025Article
- Long-term effects of vagus nerve stimulation therapy on cognitive functioning in patients with drug-resistant epilepsy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Article
- Transcutaneous auricular vagus nerve stimulation as a potential novel treatment for polycystic ovary syndrome.Scientific reports · 2023Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Invasive and transcutaneous vagus nerve stimulation [(t)-VNS] have been used to treat epilepsy, depression and migraine and has also shown effects on metabolism and body weight. To what extent this treatment shapes neural networks and how such network changes might be related to treatment effects is currently unclear. Using a pre-post mixed study design, we applied either a tVNS or sham stimulation (5 h/week) in 34 overweight male participants in the context of a study designed to assess effects of tVNS on body weight and metabolic and cognitive parameters resting state (rs) fMRI was measured about 12 h after the last stimulation period. Support vector machine (SVM) classification was applied to fractional amplitude low-frequency fluctuations (fALFF) on established rs-networks. All classification results were controlled for random effects and overfitting. Finally, we calculated multiple regressions between the classification results and reported food craving. We found a classification accuracy (CA) of 79 % in a subset of four brainstem regions suggesting that tVNS leads to lasting changes in brain networks. Five of eight salience network regions yielded 76,5 % CA. Our study shows tVNS' post-stimulation effects on fALFF in the salience rs-network. More detailed investigations of this effect and their relationship with food intake seem reasonable for future studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.