RATE AND DEPTH DEPENDENT EFFECTS ON DEMYELINATION AND BEHAVIOURAL DEFICIT FOLLOWING SPINAL CORD CONTUSION INJURY
Notice bibliographique
Résumé
Summary Statement The mechanism of spinal cord injury varies across the human population and this may be important for the development of effective therapies. Therefore, detailed understanding of how variables such as impact velocity and depth affect cord tissue damage is important. Introduction Studies have shown an independent effect of impact velocity and depth on injury severity, thereby suggesting importance of the interaction between the two for spinal cord injury. This work examines both the individual and interactive effects of impact velocity and impact depth on demyelination, tissue sparing, and behavioural outcomes in the rat cervical spinal cord. It also aims to understand the contribution of the energy applied during impact, not only the impact factors. Decoupling the effects of these two impact parameters will help to describe the injury mechanism. Maximum principal strain has also been shown to be useful as a predictor for neural tissue damage in vivo and in finite element (FE) models. A better understanding of this relationship with experimental results may help to elucidate the mechanics of spinal cord injury. Methods In this study, 54 male Sprague-Dawley rats were given a contusion spinal cord injury at impact speeds of 8 mm/s, 80 mm/s, or 800 mm/s with depths of 0.9 mm or 1.5 mm. Animals recovered for 7 days followed by behavioural assessment and examination of the spinal cord tissue for demyelination and tissue sparing at 1 mm intervals, ±3 mm rostrocaudally to the epicentre. In parallel, a previously developed finite element model of the rat spinal cord was used to examine the resulting maximum principal strains in the spinal cord for correlations with histological and mechanical impact data. Results and discussion Impact depth was a consistent factor in predicting axonal damage, tissue sparing, and the resulting behavioural deficit. Increased impact velocity resulted in significantly higher impact energies and measureable tissue damage at the 1.5 mm impact depth, but not at the 0.9 mm impact depth and is best displayed by the percentage of axon damage at the injury epicentre. Linear correlation analysis with FEA strain showed significant (p≪0.001) correlations with axonal damage in the ventral (R2=0.86) and lateral (R2=0.74) regions of the spinal cord and with white matter (R2=0.90) and grey matter (R2=0.76) sparing. Discussion and Conclusion The difference in injury severity to velocity at different impact depths identifies the existence of threshold interactions between the two impact factors. Beyond this point incremental increases in either velocity or depth are more likely to result in significantly increased impact energy and thus tissue damage and functional impairment. The relationship between the impact depth and velocity of injury demonstrated a more rate sensitive response to spinal cord tissue damage at the deep (1.5 mm) impact depth than at the shallow (0.9 mm) impact depth. Impact velocity also became quickly less significant than impact depth in determining tissue damage further from the epicentre. Furthermore, the results shown by this work extend the research identifying significant correlations between maximum principal strain and neurological tissue damage.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».