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Enregistrement W6946885427 · doi:10.34945/f5ws3q

Facilitation of sensory axon conduction to motoneurons during cortical or sensory evoked primary afferent depolarization (PAD) in humans

2022· dataset· en· W6946885427 sur OpenAlexaff

Notice bibliographique

RevueUC San Diego · 2022
Typedataset
Langueen
Domaine
Thématique
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésSensory systemSpinal cordDepolarizationGABAergicTibial nerveAxonStimulationPostsynaptic potentialAfferent

Résumé

récupéré en direct d'OpenAlex

STUDY PURPOSE: Sensory feedback to the spinal cord is essential for motor control. After injury to the central nervous system, such as spinal cord injury, the mechanisms that regulate sensory feedback become unbalanced leading to poor motor control, spasticity and pain. Unfortunately, our understanding of sensory feedback is relatively limited, even in the uninjured nervous system, making the treatment of motor control issues related to sensory feedback challenging. It was previously believed that sensory feedback was regulated by specialized GABAergic neurons that inhibited sensory inputs in the spinal cord, termed presynaptic inhibition. Recent findings in rodents shows that these GABAergic pathways actually facilitate conduction along afferents in the spinal cord by depolarizing the afferent at vulnerable branch points and reducing branch point failure. Based on these recent findings, we evaluated similar pathways in uninjured humans, with future hopes of evaluating these pathways in participants with spinal cord injury. DATA COLLECTED: The Ia - motoneuron pathway was measured using an H-reflex, evoked below half the maximum amplitude in either the soleus muscle (stimulation of the tibial nerve at the popliteal fossa) or the abductor hallucis (AbHal) muscle (stimulation of the tibial nerve at the popliteal fossa or at the medial malleolus). The peak-peak amplitude of the H-reflex was measured before (test) and after (cond) a conditioning stimulation to putative active GABAergic networks in the spinal cord and primary afferent depolarization (PAD) in the test (soleus or AbHal) afferents. Presynaptic effects of the conditioning stimulation on the test Ia afferents were discerned from postsynaptic effects on the test motoneurons using single motor unit and EMG analysis with the conditioning stimulation applied alone, thus giving information about the isolated postsynaptic effects of the conditioning stimulation. The probability of discharge of a tonically firing soleus single motor unit at the latency of the H-reflex (after tibial nerve stimulation) was also compared before and after a conditioning stimulation to putative evoked PAD. Specifically, the cutaneous branch of the superficial fibular nerve (SFN) was electrically stimulated on the top of the foot at an intensity just above perception threshold at various interstimulus intervals (ISIs) between 0 and 300 ms to assess short-lasting phasic PAD (200 Hz, 10 ms) and at longer intervals (out to 130 seconds) to assess long-lasting tonic PAD (0.2 and 2 Hz for 10s, 200 Hz for 500 ms) using the soleus H-reflex. Similarly, the common fibular nerve (CFN) was electrically stimulated (near the fibular head on the ipsilateral leg) at motor threshold (1.0 x MT) 0-300 ms before activation of the soleus H-reflex. A heteronymous H-reflex in the Biceps Hetero (stimulation of the tibial nerve supplying the medial gastrocnemius) was also conditioned by SFN and CFN stimulation. Activation of the corticospinal tract (CST) using transcranial magnetic stimulation (TMS; 0.9 x active motor threshold) of the contralateral motor cortex was used to condition the soleus and AbHal H-reflex and assess short-lasting phasic PAD. A peristimulus frequencygram (PSF) of the firing rate of a tonically discharging single motor unit in response to the putative PAD-evoking conditioning stimulation over many trials was created, with the time of the conditioning stimulation time-locked to 0 ms. The PSF was binned into 20 ms averages and the average firing rate at each bin was compared to the time when an H-reflex would have occurred at the various ISIs. A similar analysis was done for the EMG recorded during a small contraction. Self-facilitation of the soleus H-reflex was also measured by comparing H-reflexes evoked every 5 seconds. The average peak-peak amplitude of the first 7 H-reflexes were compared to the peak-peak amplitude of the next 7 H-reflexes. A more detailed description of the data collected can be found in the accompanying paper. DATA USAGE NOTES:

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,506
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0090,000

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.

Tête enseignante Opus0,049
Tête enseignante GPT0,295
Écart entre enseignants0,246 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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