The effects of oxytocin on social cognition and behaviour in frontotemporal dementia
Bibliographic record
Abstract
Patients with behavioural variant frontotemporal dementia demonstrate abnormalities in behaviour and social cognition, including deficits in emotion recognition. Recent studies suggest that the neuropeptide oxytocin is an important mediator of social behaviour, enhancing prosocial behaviours and some aspects of emotion recognition across species. The objective of this study was to assess the effects of a single dose of intranasal oxytocin on neuropsychiatric behaviours and emotion processing in patients with behavioural variant frontotemporal dementia. In a double-blind, placebo-controlled, randomized cross-over design, 20 patients with behavioural variant frontotemporal dementia received one dose of 24 IU of intranasal oxytocin or placebo and then completed emotion recognition tasks known to be affected by frontotemporal dementia and by oxytocin. Caregivers completed validated behavioural ratings at 8 h and 1 week following drug administrations. A significant improvement in scores on the Neuropsychiatric Inventory was observed on the evening of oxytocin administration compared with placebo and compared with baseline ratings. Oxytocin was also associated with reduced recognition of angry facial expressions by patients with behavioural variant frontotemporal dementia. Together these findings suggest that oxytocin is a potentially promising, novel symptomatic treatment candidate for patients with behavioural variant frontotemporal dementia and that further study of this neuropeptide in frontotemporal dementia is warranted.
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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) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".