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Enregistrement W2024059824 · doi:10.1111/j.1528-1167.2009.02345.x

Basic physiology of burst‐suppression

2009· review· en· W2024059824 sur OpenAlexaff
Florin Amzica

Notice bibliographique

RevueEpilepsia · 2009
Typereview
Langueen
DomaineNeuroscience
ThématiqueAnesthesia and Neurotoxicity Research
Établissements canadiensUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésBurstingNeuroscienceElectroencephalographyBurst suppressionElectrophysiologyPsychologyRhythmDepolarizationPhysicsMedicine

Résumé

récupéré en direct d'OpenAlex

Burst-suppression (BS) is an electroencephalography (EEG) pattern consisting of alternative periods of slow waves of high amplitude (the burst) and periods of so-called flat EEG (the suppression) (Swank & Watson, 1949). It is generally associated with comatose states of various etiologies (hypoxia, drug-related intoxication, hypothermia, and childhood encephalopathies, but also anesthesia). It has been studied extensively at the EEG level (see review by Brenner, 1985, also this issue), but only sparse information is available with respect to the cellular and ionic mechanisms underlying its patterns. Some of the most fascinating questions pertain to the genesis of bursts: Are they truly spontaneous, what triggers them, what mechanism dictates their quasi-periodicity? Moreover, in clinical practice bursting activities during BS are often associated with jerks resembling those present during epileptic fits. Is there any common link to known seizure mechanisms? At the cortical level, EEG bursts are always associated with phasic synaptic depolarizing intracellular potentials, occasionally crowned by action potentials, in virtually all recorded cortical neurons (Steriade et al., 1994; see Fig. 1A, left panel). This study has also shown that suppression episodes are due to absence of synaptic activity among cortical neurons. However, it was also shown that some thalamocortical neurons display a rhythmic activity in the frequency range of delta oscillations (1–4 Hz) during suppressed periods. Recently we have shown further that BS represents a distinct behavioral frame during which the cortical network is in a hyperexcitable state, and that bursting activity may be triggered by subliminal stimuli (Kroeger & Amzica, 2007; Fig. 1). Intraneuronal and electroencephalographic structure of burst-suppression (BS) patterns. (A) Spontaneous (left) and triggered (right) bursts. Arrows indicate the moments where microstimuli were delivered. Below, variation of the heart rate during the recording shows no consistent relationship to the stimuli. Two spontaneous (sp) and two triggered (tr) events within rectangles are expanded in B to show a full burst following a single excitatory event (B1) and a single response (B2). (C) Averaged (first two traces) and superimposed (n = 11; below) responses. Note stereotyped initial excitatory component in all responses, followed by precise onset of the burst. Modified from Kroeger & Amzica, 2007. The cortical hyperexcitability was demonstrated under various anesthetics ranging from those enhancing Cl− inhibition (propofol, barbiturates) to those boosting glutamate uptake (isoflurane). In the latter case, hyperexcitability resulted from the reduction of cortical inhibition (Ferron et al., 2009), which was corroborated with an outburst of extracellular Cl−, probably reflecting the lesser activity of γ-aminobutyric acid (GABA)A inhibitory synapses. It results that the excitatory–inhibitory balance leans toward excitation. The bursting process is limited in time because bursting activity is accompanied by a depletion of extracellular cortical Ca2+ at levels that are incompatible with synaptic transmission. This generates an overall disfacilitation in cortical networks (Kroeger & Amzica, 2007), which ultimately is responsible for the arrest of neocortical neuronal activities and the ensuing flat EEG. During suppression, the synaptic silence allows neuronal pumps to restore interstitial Ca2+ levels at control levels. At this moment, any external (or intrinsic) signal is able to trigger a new burst in the hyperexcitable cortex. Therefore, the pseudo-rhythmicity of the BS pattern is dictated by the degree of extracellular Ca2+ depletion and the ability of neurons to restore this concentration. These phenomena are modulated by the general state of the nervous system and, therefore, the etiology and the seriousness of the condition. As coma deepens, bursting episodes become shorter, whereas the opposite happens to the suppression, leading eventually to continuous isoelectric EEG. The impaired ability of the central nervous system to keep extracellular Ca2+ ions at normal levels might be precipitated by the fact that, at least as demonstrated with isoflurane, the permeability of the blood–brain barrier is compromised during BS (Tétrault et al., 2008). An interesting issue concerns the similarity between symptoms associated either with bursts during BS or with spike–wave seizures. Moreover, both conditions occur on a background of impaired inhibition. Furthermore, in clinical practice there is often unclear delimitation between comatose BS behavior and epileptic manifestations (e.g., in Hirsch et al., 2004). In addition, the antiepileptic medication obtains poor response (Dan & Boyd, 2006). This calls for one of the two possibilities: Either BS is included in the already complex syndrome of epilepsies (with complicating issues regarding mechanisms and curative strategies) or it is regarded as distinct processes with distinct mechanisms. The latter alternative is supported by the fact that volatile anesthetics (isoflurane in particular) are used both to counteract status epilepticus and to induce BS, further suggesting that bursts of BS do not reflect an epileptic pathology. The author confirms that he has read the Journal’s position on issues involved in ethical publication and affirms that this paper is consistent with those guidelines. Disclosure: The author has no conflicts of interest to disclose.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,029

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,002
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0090,004

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 Opus0,122
Tête enseignante GPT0,385
Écart entre enseignants0,264 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

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

En bref

Citations129
Publié2009
Routes d'admission1
Résumé présentoui

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