Ladder Treadmill: A Method to Assess Locomotion in Cats with an Intact or Lesioned Spinal Cord
Bibliographic record
Abstract
After lesions of the CNS, locomotor abilities of animals (mainly cats) are often assessed on a simple flat treadmill (FTM), which imposes little demands on supraspinal structures as is the case when walking on targets. Therefore, the aims of the present work were as follows: (1) to develop a treadmill allowing the assessment of locomotion of intact cats required to place the paws on the rungs of a moving ladder treadmill (LTM); (2) to assess the capability of cats after a unilateral spinal hemisection at T10 to cope with such a demanding locomotor task; and (3) to regularly train cats for 6 weeks on the LTM to determine whether such regular training improves locomotor recovery on the FTM. A significant improvement would indicate that LTM training maximizes the contribution of spinal locomotor circuits as well as remnant supraspinal inputs. Together, we used 9 cats (7 females, 2 males). Six were used to compare the EMG and kinematic locomotor characteristics during walking on the FTM and LTM. We found that the swing phase during LTM walking was slightly enhanced as well as some specific activity of knee flexor muscles. Fore-hindlimb coupling favored a more stable diagonal coupling. These 6 cats were then hemispinalized and trained for 6 weeks on the LTM, whereas the 3 other cats were hemispinalized and trained solely on the FTM to compare the two training regimens. Intensive LTM training after hemisection was found to change features of locomotion, such as the foot trajectory as well as diminished paw drag often observed after hemisection. SIGNIFICANCE STATEMENT This paper introduces a method (ladder treadmill [LTM]) to study the locomotor ability of cats with an intact spinal cord or after a unilateral hemisection to walk with a precise foot placement on the rungs fixed to an ordinary flat treadmill (FTM). Because cats are compared in various conditions (intact or hemisected at different time points) in the same enclosure on the FTM and the LTM, the changes in averaged locomotor characteristics must reflect the specificity of the task and the neurological states. Furthermore, the ladder treadmill permits to train cats repetitively for weeks and observe whether training regimens (FTM or LTM) can induce durable changes in the parameters of locomotion.
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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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".