Sex‐specific neuropsychiatric burden distinguished by APOE4 status and cortical thickness
Bibliographic record
Abstract
Abstract Background The APOE ε4 (APOE4) allele is a genetic risk factor for Alzheimer’s disease (AD). Prior work by our group found a significant association between the APOE4 allele and presence of psychosis as well as overall increased neuropsychiatric symptom (NPS) burden in female APOE4 homozygote AD patients, with no effect present in males. In this study, we sought to examine the relationship between APOE4 carrier status and sex on NPS burden from a neuroimaging perspective, with the aim to determine what brain regions may be driving this effect. Method A cohort of 752 AD patients were selected from the National Alzheimer’s Coordinating Center (NACC) database: 104 APOE4 homozygotes (40F|64M), 304 APOE4 heterozygotes (160F|144M) and 310 APOE4 non‐carriers (131F|179M). Presence of NPS was identified using the Neuropsychiatric Inventory (NPI). Structural T1‐weighted images were downloaded from the NACC imaging dataset and cortical thickness measures corresponding to frontal, cingulate, temporal and parietal regions were assessed. Statistical analysis included a Bayesian multilevel regression where cortical thickness was modeled as an outcome variable against an interaction between sex and APOE4 homozygote status (0|1), while controlling for heterozygote status, APOE4 non‐carrier status, age, sex and MMSE as predictor variables. Within‐ and between‐groups mean differences in thickness were measured as a probability density estimate (Highest Density interval), and partial correlation was used to examine NPI correlates to thickness. Result Female APOE4 homozygotes displayed a high probability (>90%HDI) of greater cortical thickness in the posterior cingulate and isthmus cingulate regions bilaterally and reduced cortical thickness in temporal regions (Figure 1). Cortical thickness in the fusiform cortex was positively correlated to greater NPI burden (p<0.05) among female homozygotes, and negatively correlated to NPI burden among female heterozygotes. Cortical thickness in males, regardless of carrier status, did not correlate to NPI burden in any region. Conclusion This study highlights an important relationship between the fusiform cortex and NPI burden in female APOE4 carriers, marking a female‐specific effect. Future work should further disentangle sex differences in APOE4 status and psychosis with a focus on the fusiform cortex as a potential region of interest.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".