Notice bibliographique
Résumé
The authors have indicated no financial conflicts of interest. Spindles are oscillations dominating EEG activity during stage 2 of sleep, and they are also present during slow-wave sleep (SWS). Multiple data point to their thalamic origin and their modulation by cortical activities, in particular by the slow oscillation. Detailed analyses of spindles have revealed the presence of both slow (9-12 Hz) and fast (12-15 Hz) spindles, with different topographical distributions over the scalp. In humans, fast spindles dominate centroparietal regions, while slow spindles dominate at frontal areas during SWS.1,2 In this issue of SLEEP, Ayoub and colleagues3 demonstrate that in sleeping subjects, a reduction in the efficacy of Na+ channels reduced fast spindles in central and parietal cortices, but enhanced slow spindles in frontal areas and slow oscillation over investigated regions. By contrast, a reduction in the efficacy of Ca2+ channels (primarily T-type) did not affect slow oscillation or slow spindles, but it decreased fast spindles power in central regions, in particular during SWS. These results point to differences in mechanisms generating slow and fast spindles, and they raise a question relative to whether all spindles have the same mechanism of generation. The “classical” model of spindle generation has stood for many years. In cats anesthetized with barbiturates, spindle activity of 8-12 Hz dominates over frontal areas and over the suprasylvian gyrus. Electrical stimulation of intralaminar thalamic nuclei induced augmenting responses similar in appearance to spindles. These findings suggested a possible role of the thalamus in initiating of spindle activities.4 Independent of the type of anesthesia, after a full decortication of cats, spindle activity persists in the thalamus.5,6 Within the thalamus, spindles are generated as follows: low-threshold Ca2+-dependent spike burst (LTS) in reticular thalamic nucleus induces IPSPs in thalamocortical neurons, which in turn generate rebound LTS that drives the next Ca2+ spike in the reticular thalamic nucleus.7 Importantly, isolated reticular thalamic nucleus can generate oscillations with spindle frequencies,8 because at hyperpolarized voltages, intra-reticular nucleus inhibition has a depolarizing action that is sufficient to drive LTS.9 Cortical neurons are synchronously excited by thalamocortical neurons that generate cortical field potential spindles. The cortical network is not just passively reflecting thalamic spindles. Rather, it drives spindle onset,10 particularly during slow oscillation,11 and it also effectively contributes to the spindle termination.10,12 There are many inconsistencies between the “classical” model of spindle generation and recent results. (a) The classical model does not explain the different frequencies of fast and slow spindles. It could be explained by different dynamics in small ensembles of thalamic neurons,13 but exact data on these different dynamics are missing. (b1) Global slow waves occur most conspicuously in early sleep, while global spindles occur prominently during late sleep.14 (b2) In relation to global slow waves, slow spindles occur primarily at a transition toward silent states, while fast spindles occur mainly at the onset of active states.1,2 This suggests that only fast spindles fit in the “classical” description as being heavily controlled by cortical activities. (c) Evidence from EEG and MEG recordings15 led to a hypothesis that EEG spindles are generated by matrix (nonspecific) thalamic nuclei, but MEG spindles are generated by core (specific) thalamic pathways.16 (d) Optogenetic stimulation of the reticular thalamic nucleus may trigger cortical spindle activities, which are not detected in corresponding thalamic sites.17 (e) Finally, in this issue of SLEEP, Ayoub et al. reported that Na+ and Ca2+ antagonists differently influence fast and slow spindles.3 Only fast spindles were reduced after administration of a Ca2+ channel blocker, pointing to a “classical” LTS-dependent mechanism of their generation. The inconsistencies between the classical model and recent results on spindle control have raised an important question—do all spindles, in particular slow spindles, require an active thalamic contribution? Figure 1A shows a segment of local field potential recordings from a sleeping cat. In agreement with properties of “classical” spindles, within the suprasylvian gyrus short fast spindles (14-16 Hz) were faithfully following slow waves, while simultaneously recorded activities in medial prefrontal cortex generated slower spindles (12-14 Hz) that did not interact with the slow oscillation. In the case of slow spindles, calculating their distribution in relation to global slow waves1,2 would suggest their occurrence at the end of an active cortical state and even during a silent state. Figures 1B and 1C show separately recorded spindles from a cat anesthetized with ketamine-xylazine with addition of propofol. In agreement with the classical mechanism of generation, field potential spindles in the motor cortex occurred simultaneously with thalamic ones, and phased-locked multiunit firing of thalamocortical neurons occurred during both depicted spindles recorded from the corresponding ventro-lateral (VL) nucleus (Figure 1B). By contrast, spindles in the medial prefrontal cortex were not accompanied with vigorous field potential oscillations and phase-locked neuronal firing within the corresponding medio-dorsal (MD) nucleus of the thalamus. Spindle activities during sleep and anesthesia (see text for details). If projecting thalamic nuclei are not involved in the generation of slow frontal spindles, what would be their origin? Slow spindles could potentially be generated within nonspecific (matrix) thalamic nuclei; however, given the wide cortical projections from these nuclei, one should expect synchronous spindles appearance over wide cortical areas, which is not demonstrated yet. Another option is that a set of intracortical mechanisms might be responsible for the generation of slow spindles. The cortical origin of sleep slow oscillation is well accepted. The study by Ayoub et al.3 in this issue demonstrates that a reduction in the efficacy of Na+ channels enhances both slow oscillation and slow spindles. Although exact cellular mechanisms of this phenomenon are not clear, this finding suggests that similar cellular mechanisms or structures might be responsible for the generation of both sleep slow oscillation and sleep slow spindles. Future studies could shed light on the possibilities of the intracortical origin of slow spindles. Supported by CIHR, NSERC, and NIH (1R01-NS060870 and 1R01-NS059740).
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 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 | 0,004 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,006 |
| Communication savante | 0,003 | 0,006 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,047 | 0,060 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,008 |
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 ».