[P3–341]: HIPPOCAMPAL INTEGRITY IN SWEDISH WOMEN WITH BILATERAL SALPINGO‐OOPHORECTOMY PRIOR TO NATURAL MENOPAUSE
Bibliographic record
Abstract
Oophorectomy prior to natural menopause places women at increased risk of dementia and/or Alzheimer's disease (AD). Recent findings from our Toronto group reveal a negative association between oophorectomy prior to natural menopause and verbal memory in middle-aged women. We have also found a positive association between estrogen levels and verbal recall. Taken together, these findings support previous work suggesting that oophorectomy, leading to reduced levels of estrogens, is detrimental to verbal memory. Estrogen withdrawal has also been correlated with reduced hippocampal volume and reduced hippocampal resting functional connectivity (FC), both early AD biomarkers. Thus, we wondered whether hippocampal volume and resting functional connectivity would be reduced in women with oophorectomy prior to natural menopause. In order to determine this, we recruited healthy, Swedish women (30 and 55 years) with the breast cancer mutation gene (BRCA1/2) who had a bilateral salpingo-oophorectomy (BSO) prior to natural menopause. Most women were between 1–7 years post-BSO and at least 6 months post-cancer treatment or had not had cancer. Using magnetic resonance imaging (3T scanner, Phillips) we measured functional resting state over 10 minutes and volume with a T1 structural scan. We collected urine in order to determine estrogen and progesterone levels. We hypothesize that women with BSO will have structural and functional hippocampal changes compared to age matched controls. We predict that women with BSO will have smaller hippocampal volumes and reduced hippocampal FC. We further predict that lower levels of estrogens will correlate with these brain changes. Neuroimaging and endocrine analyses are ongoing. AD affects women in greater numbers and one possibility is that oophorectomy prior to natural menopause contributes to these numbers. Determining whether or not these women show the earliest biomarkers for AD will increase our understanding of estrogen withdrawal's effects on brain health as well as its importance for healthy brain aging. Importantly, results of this study will inform us on the early brain changes in a population at greater risk of AD.
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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 | 0.000 |
| 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 | 0.000 |
| 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".