Transcutaneous vagal nerve stimulation effects on the salience network in patients with amnestic mild cognitive impairment
Bibliographic record
Abstract
Abstract Background Better treatments are needed to improve cognition and reduce the disability associated with MCI and Alzheimer’s disease (AD). Transcutaneous vagal nerve stimulation (tVNS) may impact brain networks relevant to AD through multiple mechanisms: the vagus projects to the nucleus tractus solitarius (NTS) which in turn projects to the locus coeruleus (LC), the brain’s primary source of norepinephrine (NE). The NTS also projects directly to the hippocampus, as does the LC. Neuropathological data suggest that the LC may be an early site of AD pathology. Thus, tVNS may modify the activity of several networks that are impaired and that progressively deteriorate in patients with MCI and AD. Method 24 patients with mild cognitive impairment (MCI) confirmed via diagnostic consensus conference (sources of info: Montreal Cognitive Assessment Test [MOCA], Clinical Dementia Rating scale (CDR), Functional Activities Questionnaire (FAQ) , Hopkins Verbal Learning Test – Revised [HVLT‐R] and medical record review) were assessed during rest using functional magnetic resonance imaging (fMRI) on a Siemens 3T scanner during tVNS (left tragus, n = 12) or under sham control conditions (ear lobe, n = 12). Result During unilateral left tVNS, patients with MCI showed increased functional connectivity between nodes of the salience network, the anterior cingulate, and the supramarginal gyrus from both the right and left temporal poles. Conclusion In patients with MCI, tVNS modified cognitively relevant brain networks whose degeneration predicts deterioration in AD. These findings demonstrate afferent target engagement of tVNS which carries implications for noninvasive therapeutic intervention in this population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".