Evidence map›Paper›PMID 26849643›Full record

ArticlePloS one2016

A New Computational Model for Neuro-Glio-Vascular Coupling: Astrocyte Activation Can Explain Cerebral Blood Flow Nonlinear Response to Interictal Events.

Solenna Blanchard, Sandrine Saillet, Anton Ivanov, Pascal Benquet, Christian-George Bénar, Mélanie Pélégrini-Issac, Habib Benali, Fabrice Wendling

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 16% of its field
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

12 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  3. Cerebral multi-autoregulation model based enhanced external counterpulsation treatment planning for cerebral ischemic stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
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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

8 authors at 5 institutions in 1 country.

Solenna BlanchardUniversité de Rennes 1, INSERM U1099, Laboratoire Traitement du Signal et de l'Image, Rennes, France.
Sandrine SailletAix Marseille Université, INSERM UMRS 1106, Institut de Neurosciences des Systèmes, Marseille, France.
Anton IvanovAix Marseille Université, INSERM UMRS 1106, Institut de Neurosciences des Systèmes, Marseille, France.
Pascal BenquetUniversité de Rennes 1, INSERM U1099, Laboratoire Traitement du Signal et de l'Image, Rennes, France.
Christian-George BénarAix Marseille Université, INSERM UMRS 1106, Institut de Neurosciences des Systèmes, Marseille, France.
Mélanie Pélégrini-IssacSorbonne Universités, UPMC Univ. Paris 06, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.
Habib BenaliSorbonne Universités, UPMC Univ. Paris 06, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.
Fabrice WendlingUniversité de Rennes 1, INSERM U1099, Laboratoire Traitement du Signal et de l'Image, Rennes, France.
Laboratoire Traitement du Signal et de l'Image · FRAix-Marseille Université · FRInserm · FRInstitut de Neurosciences des Systèmes · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing a clear understanding of the relationship between cerebral blood flow (CBF) response and neuronal activity is of significant importance because CBF increase is essential to the health of neurons, for instance through oxygen supply. This relationship can be investigated by analyzing multimodal (fMRI, PET, laser Doppler…) recordings. However, the important number of intermediate (non-observable) variables involved in the underlying neurovascular coupling makes the discovery of mechanisms all the more difficult from the sole multimodal data. We present a new computational model developed at the population scale (voxel) with physiologically relevant but simple equations to facilitate the interpretation of regional multimodal recordings. This model links neuronal activity to regional CBF dynamics through neuro-glio-vascular coupling. This coupling involves a population of glial cells called astrocytes via their role in neurotransmitter (glutamate and GABA) recycling and their impact on neighboring vessels. In epilepsy, neuronal networks generate epileptiform discharges, leading to variations in astrocytic and CBF dynamics. In this study, we took advantage of these large variations in neuronal activity magnitude to test the capacity of our model to reproduce experimental data. We compared simulations from our model with isolated epileptiform events, which were obtained in vivo by simultaneous local field potential and laser Doppler recordings in rats after local bicuculline injection. We showed a predominant neuronal contribution for low level discharges and a significant astrocytic contribution for higher level discharges. Besides, neuronal contribution to CBF was linear while astrocytic contribution was nonlinear. Results thus indicate that the relationship between neuronal activity and CBF magnitudes can be nonlinear for isolated events and that this nonlinearity is due to astrocytic activity, highlighting the importance of astrocytes in the interpretation of regional recordings.

Indexed as

Computer SimulationModels, BiologicalAction PotentialsAlgorithmsAnimalsAstrocytesBlood VesselsBrainCerebrovascular CirculationDisease Models, AnimalEpilepsygamma-Aminobutyric AcidGlutamic AcidHemodynamicsNeurogliaNeuronsgamma-Aminobutyric AcidGlutamic AcidNeurotransmitter Agents

Identifiers

PMID26849643
PMCPMC4743967
OpenAlexW2267790926

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.