Evidence map›Paper›PMID 34782705›Full record

ArticleScientific reports2021

Cerebral and systemic hemodynamic effect of recurring seizures.

Lorenzo Ferlini, Fuhong Su, Jacques Creteur, Fabio Silvio Taccone, Nicolas Gaspard

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lorenzo FerliniDepartment of Neurology, Erasme Hospital, Free University of Brussels, Brussels, Belgium.ORCID http://orcid.org/0000-0002-6461-8796
Fuhong SuDepartment of Intensive Care, Erasme Hospital, Free University of Brussels, Brussels, Belgium.
Jacques CreteurDepartment of Intensive Care, Erasme Hospital, Free University of Brussels, Brussels, Belgium.
Fabio Silvio TacconeDepartment of Intensive Care, Erasme Hospital, Free University of Brussels, Brussels, Belgium.
Nicolas GaspardDepartment of Neurology, Erasme Hospital, Free University of Brussels, Brussels, Belgium. nicolas.gaspard@erasme.ulb.ac.be.ORCID http://orcid.org/0000-0003-1148-6723

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increase in neuronal activity induced by a single seizure is supported by a rise in the cerebral blood flow and tissue oxygenation, a mechanism called neurovascular coupling (NVC). Whether cerebral and systemic hemodynamics are able to match neuronal activity during recurring seizures is unclear, as data from rodent models are at odds with human studies. In order to clarify this issue, we used an invasive brain and systemic monitoring to study the effects of chemically induced non-convulsive seizures in sheep. Despite an increase in neuronal activity as seizures repeat (Spearman's ρ coefficient 0.31, P < 0.001), ictal variations of cerebral blood flow remained stable while it progressively increased in the inter-ictal intervals (ρ = 0.06, P = 0.44 and ρ = 0.22; P = 0.008). We also observed a progressive reduction in the inter-ictal brain tissue oxygenation (ρ =  - 0.18; P = 0.04), suggesting that NVC was unable to compensate for the metabolic demand of these closely repeating seizures. At the systemic level, there was a progressive reduction in blood pressure and a progressive rise in cardiac output (ρ =  - 0.22; P = 0.01 and ρ = 0.22; P = 0.01, respectively), suggesting seizure-induced autonomic dysfunction.

Indexed as

Cerebrovascular CirculationHemodynamicsAnimalsBiomarkersBrainDisease Models, AnimalDisease SusceptibilityElectroencephalographyNeuronsNeurovascular CouplingSeizuresSheepBiomarkers

Identifiers

PMID34782705
PMCPMC8593180

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.