Similar rhythms of seasonal conceptions in neural tube defects and schizophrenia: A hypothesis of oxidant stress and the photoperiod
Bibliographic record
Abstract
BACKGROUND: Numerous studies have found that people with schizophrenia tend to be born most often in late winter and least often in late summer. The same rhythm appears in the birth of children with neural tube defects (NTDs). In the northern hemisphere, both disorders thus show a conception peak in May-June and a trough around November-December. The senior author found the same May-June conception peak among left-handed American baseball players and the opposite effect (a November-December peak) among extreme right-handed players. A similar rhythm appeared with respect to characteristics related to artistic as opposed to scientific modes of thought. DISCUSSION: Schizophrenia has been proposed to involve a deficit in the establishment of lateral asymmetry, as does left-handedness. The artist-scientist dichotomy is also believed to involve cerebral dominance. Thus, the similarity of seasonal variation in month of conception between NTDs, schizophrenia, left-handedness, and artistic intuition suggests that these four conditions may share some factor affecting the cellular processes involved in both neural tube closure and asymmetry development during the early-fourth week, neural-fold stages of embryogenesis. We propose that maternal oxidant stress, which can rise with exposure to intense solar radiation, may interfere with both neural tube closure and asymmetry development. The June and December extremes of sunlight would thus explain the peak times of the seasonal fluctuations. Moreover, regardless of mechanisms, the parallel between the two conception rhythms suggests that the same periconceptional folate regimens found effective in preventing NTDs may also lower the risk of schizophrenia. This paper reviews some of the clinical and experimental evidence supporting this hypothesis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".