Loss of Dcc in the spinal cord is sufficient to cause a deficit in lateralized motor control and the switch to a hopping gait
Bibliographic record
Abstract
Background: Humans with heterozygous mutations in the axon guidance receptor DCC display congenital mirror movements (MMs), which are involuntary movements of body parts, such as fingers, on one side of the body that mirror voluntary movement of the opposite side. In mice, the homozygous Dcckanga mutant allele causes synchronous MM‐like hindlimb movements during locomotion, resulting in hopping. In both human and mice, the neuroanatomical defect responsible for the deficit in lateralized motor control remains to be elucidated. Results: Using the HoxB8‐Cre line to specifically remove Dcc from the spinal cord, we found misrouting of commissural axons during their migration toward the floor plate, resulting in fewer axons crossing the midline. These mice also have a hopping gait, indicating that spinal cord guidance defects alone are sufficient to cause hopping. Conclusions: Dcc plays a role in the development of local spinal networks to ensure proper lateralization of motor control during locomotion. Local spinal cord defects following loss of Dcc cause a hopping gait in mice and may contribute to MM in humans. Developmental Dynamics 247:620–629, 2018. © 2017 Wiley Periodicals, Inc.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".