Evidence map›Paper›PMID 30138336›Full record

ArticlePLoS computational biology2018

Calcium imaging and dynamic causal modelling reveal brain-wide changes in effective connectivity and synaptic dynamics during epileptic seizures.

Richard E Rosch, Paul R Hunter, Torsten Baldeweg, Karl J Friston, Martin P Meyer

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

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  13. Linking fast and slow: The case for generative models.Network neuroscience (Cambridge, Mass.) · 2024
    Review
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  20. Inferring Trajectories of Psychotic Disorders Using Dynamic Causal Modeling.Computational psychiatry (Cambridge, Mass.) · 2023
    Article
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.

Richard E RoschWellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom.ORCID 0000-0002-0316-5818
Paul R HunterDepartment of Developmental Neurobiology & MRC Center for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Torsten BaldewegDevelopmental Neurosciences Programme, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom.ORCID 0000-0002-5724-1679
Karl J FristonWellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom.ORCID 0000-0001-7984-8909
Martin P MeyerDepartment of Developmental Neurobiology & MRC Center for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/L004992/1Medical Research Council MR/N026063/1Wellcome TrustWellcome Trust 088130/Z/09/ZWellcome Trust 106556/Z/14/ZWellcome Trust 204788/Z/16/Z
6 · The paper itself

Abstract

Pathophysiological explanations of epilepsy typically focus on either the micro/mesoscale (e.g. excitation-inhibition imbalance), or on the macroscale (e.g. network architecture). Linking abnormalities across spatial scales remains difficult, partly because of technical limitations in measuring neuronal signatures concurrently at the scales involved. Here we use light sheet imaging of the larval zebrafish brain during acute epileptic seizure induced with pentylenetetrazole. Spectral changes of spontaneous neuronal activity during the seizure are then modelled using neural mass models, allowing Bayesian inference on changes in effective network connectivity and their underlying synaptic dynamics. This dynamic causal modelling of seizures in the zebrafish brain reveals concurrent changes in synaptic coupling at macro- and mesoscale. Fluctuations of both synaptic connection strength and their temporal dynamics are required to explain observed seizure patterns. These findings highlight distinct changes in local (intrinsic) and long-range (extrinsic) synaptic transmission dynamics as a possible seizure pathomechanism and illustrate how our Bayesian model inversion approach can be used to link existing neural mass models of seizure activity and novel experimental methods.

Indexed as

AnimalsBayes TheoremBrainCalciumConnectomeElectroencephalographyEpilepsyLarvaModels, NeurologicalNerve NetNeuronsSeizuresSynaptic TransmissionZebrafishCalcium

Identifiers

PMID30138336
PMCPMC6124808

What OpenQuestion holds

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Registered trials

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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.