Characterization of excitatory and inhibitory motor neurons to the human gastric clasp and sling fibers
Bibliographic record
Abstract
The aim of this study was to determine the morphology and position of the excitatory and inhibitory motor neurons to the human gastric sling and clasp fibers. Motor neurons were identified by retrograde staining with 1,1'-didodecyl 3,3,3',3'-indocarbocyanine perchlorate (DiI), and choline acetyltransferase (ChAT) or nitric oxide synthase (NOS) immunoreactivity was then determined in these motor neurons. In the sling preparations, 46% of the DiI-stained cells were aboral motor neurons, 43% were local motor neurons, and only 10% were descending motor neurons. Overall, 58% were immunoreactive for ChAT, and 36% for NOS (P = 0.042). Sixty-two percent of local, and 66% of aboral DiI-stained motor neurons were immunoreactive for ChAT. In the clasp preparations, 52% of the DiI-stained cells were descending motor neurons, 45% were local motor neurons, and only 3% were aboral neurons. Overall, 31% were immunoreactive for ChAT and 65% for NOS (P = 0.039). Eighty-five percent of the DiI-stained descending motor neurons were immunoreactive for NOS. All of the cells that were labeled adequately had a single axon and a number of filamentous or flattened lobular dendrites, and fitted into the broad category of Dogiel type I neurons. In conclusion, the majority of the motor neurons to the sling fibers were ChAT-positive excitatory neurons from the myenteric plexus of the stomach and the local region, and to the clasp were predominantly NOS-positive inhibitory neurons from the esophagus.
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 | 0.000 |
| 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) | 0.001 | 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".