Regio entorhinalis in Schizophrenia: More Evidence for Migrational Disturbances and Suggestions for a New Biological Hypothesis
Bibliographic record
Abstract
Recently we were able to replicate the original finding of migrational disturbances in the entorhinal cortex (ERC) of schizophrenic patients by measuring the distance of pre-alpha cell clusters to the pial surface. In order to replicate this finding, we performed a detailed analysis of the pre-alpha cell clusters in the ERC in post mortem brains of 22 schizophrenic patients and 15 control subjects. Cluster position relative to gray/white matter boundary were measured and normalized by the widths of the gray matter. In the ERC the pre-alpha cell clusters were situated significantly closer to the gray/white matter junction compared to normal controls (around 30 %, F = 9.52, p = 0.004). No specific effects of sex, age or region of investigation were found. In summary, this is another quantitative replication of pre-alpha cell cluster migrational disturbances in schizophrenia, which are possibly linked to neurobiological abnormalities, e.g. myeloarchitectonic changes. This supports the notion that developmental abnormalities are a core feature of schizophrenia and that the search for candidate genes has to include this aspect, too. However, it is very probable that vulnerability-associated changes - as outlined here - have to be distinguished from disease-related changes.
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 | 0.001 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".