(001) Brain Activation Patterns Associated with Visually Evoked Sexual Arousal in Female-To-Male Transgender Individuals
Bibliographic record
Abstract
Abstract Introduction Cross-sex hormones in female-to-male (FtM) transgender individuals play a crucial role in brain plasticity. Brain activity associated with sexual arousal in FtM transgenders receiving cross-sex hormones is poorly understood. Objective This study aimed to compare brain activation patterns associated with sexual arousal between FtM transgenders and premenopausal women using a 3.0 Tesla functional magnetic resonance imaging (fMRI). Methods This study included 13 FtM transgenders (mean age: 43.2±6.4 years) and 13 premenopausal women (mean age: 41.5 ± 8.3 years). The FtM transgender individuals, who have had sex-reassignment surgery, received testosterone supplementary therapy. Sexual orientation was evaluated using the Kinsey sexuality rating scale (0 = exclusively heterosexual; 6 = exclusively homosexual). Serum sex hormones were measured, including free testosterone (free-T), estradiol (E2), follicle-stimulating, and luteinizing hormones. Visual sexual stimulation began with a 30-s cross fixation (rest condition), followed by a 30-s natural documentary (neutral condition), 540-s erotic video (sexual activation condition), then a 30-s cross fixation (rest condition). The fMRI data were post-processed using SPM8 software. Results The average rating of the Kinsey scale in the FtM transgenders was 5.6 ± 0.5, indicating their sexual orientation falls within the category of homosexual. The FtM transgenders showed significant increases in the free-T levels (18.8±18.9 pg/mL vs. 0.4±0.4 pg/mL, p < 0.001) and significant decreases in the E2 levels (45.4±32.0 pg/mL vs. 279.2±247.3 pg/mL, p = 0.001) compared with premenopausal women. The brain areas with significantly higher activities during visual sexual stimuli in the FtM transgenders compared with premenopausal women included the superior parietal lobule, middle occipital gyrus, and superior frontal gyrus (p < 0.001). Conclusions This study illustrates the specific brain activation patterns associated with sexual arousal in female-to-male (FtM) transgenders. These findings could contribute to our understanding of the neural mechanisms associated with sexual arousal in relation to the levels of sexual hormones in FtM transgenders. This research was supported by grants from the National Research Foundation funded by the government (MSIT; 2022R1A2C2007809, 2021R1C1C2011748). Disclosure No.
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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) | 0.006 | 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".