Evidence map›Paper›PMID 25927439›Full record

Trial reportPloS one2015

Neuronal Networks during Burst Suppression as Revealed by Source Analysis.

Natia Japaridze, Muthuraman Muthuraman, Christine Reinicke, Friederike Moeller, Abdul Rauf Anwar, Kidist Gebremariam Mideksa, Ronit Pressler, Günther Deuschl, Ulrich Stephani, Michael Siniatchkin

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 37 citations in OpenAlex.

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  8. Development of the Ontogenetic Self-Regulation Clock.International journal of molecular sciences · 2022
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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

10 authors at 2 institutions in 2 countries.

Natia JaparidzeDepartment of Neuropediatrics, Christian-Albrechts-University, Kiel, Germany.
Muthuraman MuthuramanDepartment of Neurology, Christian-Albrechts-University, Kiel, Germany.
Christine ReinickeDepartment of Neuropediatrics, Christian-Albrechts-University, Kiel, Germany.
Friederike MoellerDepartment of Neurophysiology, Great Ormond Street Hospital for Children, London, United Kingdom.
Abdul Rauf AnwarDepartment of Neurology, Christian-Albrechts-University, Kiel, Germany.
Kidist Gebremariam MideksaDepartment of Neurology, Christian-Albrechts-University, Kiel, Germany.
Ronit PresslerDepartment of Neurophysiology, Great Ormond Street Hospital for Children, London, United Kingdom.
Günther DeuschlDepartment of Neurophysiology, Great Ormond Street Hospital for Children, London, United Kingdom.
Ulrich StephaniDepartment of Neuropediatrics, Christian-Albrechts-University, Kiel, Germany.
Michael SiniatchkinInstitute of Medical Psychology and Medical Sociology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Kiel University · DEUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBurst-suppression (BS) is an electroencephalography (EEG) pattern consisting of alternant periods of slow waves of high amplitude (burst) and periods of so called flat EEG (suppression). It is generally associated with coma of various etiologies (hypoxia, drug-related intoxication, hypothermia, and childhood encephalopathies, but also anesthesia). Animal studies suggest that both the cortex and the thalamus are involved in the generation of BS. However, very little is known about mechanisms of BS in humans. The aim of this study was to identify the neuronal network underlying both burst and suppression phases using source reconstruction and analysis of functional and effective connectivity in EEG. MATERIAL/

methodsDynamic imaging of coherent sources (DICS) was applied to EEG segments of 13 neonates and infants with burst and suppression EEG pattern. The brain area with the strongest power in the analyzed frequency (1-4 Hz) range was defined as the reference region. DICS was used to compute the coherence between this reference region and the entire brain. The renormalized partial directed coherence (RPDC) was used to describe the informational flow between the identified sources. RESULTS/

conclusionDelta activity during the burst phases was associated with coherent sources in the thalamus and brainstem as well as bilateral sources in cortical regions mainly frontal and parietal, whereas suppression phases were associated with coherent sources only in cortical regions. Results of the RPDC analyses showed an upwards informational flow from the brainstem towards the thalamus and from the thalamus to cortical regions, which was absent during the suppression phases. These findings may support the theory that a "cortical deafferentiation" between the cortex and sub-cortical structures exists especially in suppression phases compared to burst phases in burst suppression EEGs. Such a deafferentiation may play a role in the poor neurological outcome of children with these encephalopathies.

Indexed as

ConnectomeDelta RhythmCerebral CortexEpilepsyFemaleHumansInfantInfant, NewbornMaleNerve Net

Identifiers

PMID25927439
PMCPMC4415810
OpenAlexW1979041511

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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.