Evidence map›Paper›PMID 32335503›Full record

ArticleEpilepsy research2020

Juvenile myoclonic epilepsy shows increased posterior theta, and reduced sensorimotor beta resting connectivity.

Bethany Routley, Alexander Shaw, Suresh D Muthukumaraswamy, Krish D Singh, Khalid Hamandi

Open access · hybridAbstract read
In one paragraph

Article in Epilepsy research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

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  9. Electroencephalogram in low-risk term newborns predicts neurodevelopmental metrics at age two years.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022
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  14. A computational biomarker of juvenile myoclonic epilepsy from resting-state MEG.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
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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 at 3 institutions in 2 countries.

Bethany RoutleyCardiff University Brain Research Imaging, School of Psychology, Cardiff University, United Kingdom.
Alexander ShawCardiff University Brain Research Imaging, School of Psychology, Cardiff University, United Kingdom.
Suresh D MuthukumaraswamySchool of Pharmacy, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Krish D SinghCardiff University Brain Research Imaging, School of Psychology, Cardiff University, United Kingdom.
Khalid HamandiCardiff University Brain Research Imaging, School of Psychology, Cardiff University, United Kingdom; The Wales Epilepsy Unit, Department of Neurology, University Hospital of Wales, Cardiff, United Kingdom. Electronic address: hamandik@cf.ac.uk.
Cardiff University · GBUniversity Hospital of Wales · GBUniversity of Auckland · NZ

Funding

Medical Research Council MR/K005464/1Medical Research Council MR/K501086/1Wellcome Trust 104943/Z/14/Z
6 · The paper itself

Abstract

backgroundWidespread structural and functional brain network changes have been shown in Juvenile Myoclonic Epilepsy (JME) despite normal clinical neuroimaging. We sought to better define these changes using magnetoencephalography (MEG) and source space connectivity analysis for optimal neurophysiological and anatomical localisation.

methodsWe consecutively recruited 26 patients with JME who underwent resting state MEG recording, along with 26 age-and-sex matched controls. Whole brain connectivity was determined through correlation of Automated Anatomical Labelling (AAL) atlas source space MEG timeseries in conventional frequency bands of interest delta (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), beta (13-30 Hz) and gamma (40-60 Hz). We used a Linearly Constrained Minimum Variance (LCMV) beamformer to extract voxel wise time series of 'virtual sensors' for the desired frequency bands, followed by connectivity analysis using correlation between frequency- and node-specific power fluctuations, for the voxel maxima in each AAL atlas label, correcting for noise, potentially spurious connections and multiple comparisons.

resultsWe found increased connectivity in the theta band in posterior brain regions, surviving statistical correction for multiple comparisons (corrected p < 0.05), and decreased connectivity in the beta band in sensorimotor cortex, between right pre- and post- central gyrus (p < 0.05) in JME compared to controls.

conclusionsAltered resting-state MEG connectivity in JME comprised increased connectivity in posterior theta - the frequency band associated with long range connections affecting attention and arousal - and decreased beta-band sensorimotor connectivity. These findings likely relate to altered regulation of the sensorimotor network and seizure prone states in JME.

Indexed as

AdolescentAdultBrainBrain MappingElectroencephalographyFemaleHumansMagnetoencephalographyMaleMyoclonic Epilepsy, JuvenileNerve NetNeural PathwaysRestSeizuresConnectivityJMEJuvenile myoclonic epilepsyMagnetoencephalographyMEG

Identifiers

PMID32335503
PMCPMC7684644
OpenAlexW3015173977

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.