Synaptophysin Immunoreactivity in the Human Hippocampus and Neocortex From 6 to 41 Weeks of Gestation
Bibliographic record
Abstract
To assess the synaptic vesicle protein synaptophysin as a potential marker for maturation in the human fetal brain, synaptophysin immunoreactivity (sIR) was prospectively studied in postmortem sections of 162 normal human fetal and neonatal brains of both sexes from 6 to 41 weeks' gestational age. There was a consistent temporal and spatial pattern of sIR in the hippocampus and cerebral neocortex. In the rostral hippocampus, sIR was first apparent in the molecular zone of the dentate gyrus at 12 weeks, followed by CA2 at 14 weeks, CA3 and CA4 at 15 to 16 weeks, and CA1 at 19 weeks; it was incomplete until 26 weeks. In frontal neocortex, sIR developed in a laminar pattern above and below the cortical plate as early as 12 weeks, around Cajal-Retzius neurons of the molecular zone at 14 weeks, surrounding pyramidal neurons of Layers 5 and 6 at 16 weeks, and at the surface of neuronal somata in Layers 2 and 4 at 22 weeks. At 33 weeks, Layers 2 and 4 still had less sIR than other layers. Uniform sIR among all cortical layers was evident at 38 weeks. Ascending probable thalamocortical axons were reactive as early as 12 weeks and were best demonstrated by 26 weeks, after which increasing sIR in the neuropil diminished the contrast. The sIR was preserved for more than 96 hours postmortem, even in severely autolytic brains. We conclude that synaptophysin is a reliable marker in human fetal brain and that sIR provides the means for objective assessment of cerebral maturation in normal brains and to enable interpretation of abnormal synaptic patterns in pathological conditions.
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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 | 0.001 | 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".