Evidence map›Paper›PMID 28737272›Full record

ArticleHuman brain mapping2017

Dynamic coupling between fMRI local connectivity and interictal EEG in focal epilepsy: A wavelet analysis approach.

Amir Omidvarnia, Mangor Pedersen, David N Vaughan, Jennifer M Walz, David F Abbott, Andrew Zalesky, Graeme D Jackson

Open access · bronzeAbstract read
In one paragraph

Article in Human brain mapping, 2017. 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
1.3field-weighted citation impact, top 20% 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, 23 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Amir OmidvarniaThe Florey Institute of Neuroscience and Mental Health and The University of Melbourne, Austin Campus, Heidelberg, Victoria, Australia.ORCID 0000-0002-4744-8721
Mangor PedersenThe Florey Institute of Neuroscience and Mental Health and The University of Melbourne, Austin Campus, Heidelberg, Victoria, Australia.
David N VaughanThe Florey Institute of Neuroscience and Mental Health and The University of Melbourne, Austin Campus, Heidelberg, Victoria, Australia.
Jennifer M WalzThe Florey Institute of Neuroscience and Mental Health and The University of Melbourne, Austin Campus, Heidelberg, Victoria, Australia.
David F AbbottThe Florey Institute of Neuroscience and Mental Health and The University of Melbourne, Austin Campus, Heidelberg, Victoria, Australia.ORCID 0000-0002-7259-8238
Andrew ZaleskyDepartment of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton, Victoria, Australia.
Graeme D JacksonThe Florey Institute of Neuroscience and Mental Health and The University of Melbourne, Austin Campus, Heidelberg, Victoria, Australia.
The University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simultaneous scalp EEG-fMRI recording is a noninvasive neuroimaging technique for combining electrophysiological and hemodynamic aspects of brain function. Despite the time-varying nature of both measurements, their relationship is usually considered as time-invariant. The aim of this study was to detect direct associations between scalp-recorded EEG and regional changes of hemodynamic brain connectivity in focal epilepsy through a time-frequency paradigm. To do so, we developed a voxel-wise framework that analyses wavelet coherence between dynamic regional phase synchrony (DRePS, calculated from fMRI) and band amplitude fluctuation (BAF) of a target EEG electrode with dominant interictal epileptiform discharges (IEDs). As a proof of concept, we applied this framework to seven patients with focal epilepsy. The analysis produced patient-specific spatial maps of DRePS-BAF coupling, which highlight regions with a strong link between EEG power and local fMRI connectivity. Although we observed DRePS-BAF coupling proximate to the suspected seizure onset zone in some patients, our results suggest that DRePS-BAF is more likely to identify wider 'epileptic networks'. We also compared DRePS-BAF with standard EEG-fMRI analysis based on general linear modelling (GLM). There was, in general, little overlap between the DRePS-BAF maps and GLM maps. However, in some subjects the spatial clusters revealed by these two analyses appeared to be adjacent, particularly in medial posterior cortices. Our findings suggest that (1) there is a strong time-varying relationship between local fMRI connectivity and interictal EEG power in focal epilepsy, and (2) that DRePS-BAF reflect different aspects of epileptic network activity than standard EEG-fMRI analysis. These two techniques, therefore, appear to be complementary. Hum Brain Mapp 38:5356-5374, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

Wavelet AnalysisAdultArea Under CurveBrainBrain MappingCerebrovascular CirculationCohort StudiesElectroencephalographyEpilepsies, PartialFemaleHumansLinear ModelsMagnetic Resonance ImagingMaleMultimodal ImagingNeural PathwaysDRePSfocal epilepsyfunctional connectivitysimultaneous EEG-fMRIwavelet coherence

Identifiers

PMID28737272
PMCPMC6867160
OpenAlexW2738445263

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.