Does elimination of afferent input modify the changes in rat motoneurone properties that occur following chronic spinal cord transection?
Bibliographic record
Abstract
The purpose of this study was to determine the effects of 6-8 weeks of chronic spinal cord isolation (SI, removal of descending, ascending and afferent inputs), compared with the same duration of spinal cord transection (ST, removal of descending input only) on hindlimb motoneurone biophysical properties. Adult female Sprague-Dawley rats were placed into three groups: (1) control (no removal of inputs), (2) ST and (3) SI. The electrophysiological properties from sciatic nerve motoneurones were recorded from deeply anaesthetized rats. Motoneurones in SI rats had significantly (P < 0.01) lower rheobase currents and higher spike afterhyperpolarization amplitudes and input resistances compared with motoneurones in control rats. A higher percentage (chi2, P = 0.01) of motoneurones in SI than control rats demonstrated frequency-current (f-I) relationships consistent with activation of persistent inward currents. Motoneurone steady state f-I slopes determined by increasing steps of 500 ms current pulses were significantly lower (P < 0.02) in SI than control rats. Motoneurone spike frequency adaptation measured using 30 s square-wave current injections (1.5-3.0 nA above the estimated rhythmic firing threshold), was similar for control and SI motoneurones. Changes in motoneurone properties following SI did not differ from ST. These findings indicate that the removal of afferent and ascending inputs along with descending inputs has little additional affect on motoneurone properties than removal of descending inputs alone. This study is the first to demonstrate that intact ascending and afferent input does not modify the effects of spinal transection on basic and rhythmic firing properties of rat hindlimb motoneurones.
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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 | 0.000 | 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 | 0.001 |
| 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".