Evidence map›Paper›PMID 26958464›Full record

ArticleNeuroImage. Clinical2016

Electrical source imaging of interictal spikes using multiple sparse volumetric priors for presurgical epileptogenic focus localization.

Gregor Strobbe, Evelien Carrette, José David López, Victoria Montes Restrepo, Dirk Van Roost, Alfred Meurs, Kristl Vonck, Paul Boon, Stefaan Vandenberghe, Pieter van Mierlo

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Gregor StrobbeGhent University, Department of Electronics and Information Systems, MEDISIP, De Pintelaan 185, Building BB Floor 5, 9000 Ghent, Belgium; iMinds Medical IT Department, Belgium. Electronic address: gregor.strobbe@ugent.be.
Evelien CarretteLaboratory for Clinical and Experimental Neurophysiology, Ghent University Hospital, Ghent, Belgium. Electronic address: evelien.carrette@ugent.be.
José David LópezSISTEMIC, Department of Electronic Engineering, Universidad de Antioquia UDEA, Calle 70 No. 52-21,Medellín, Colombia. Electronic address: josedavid@udea.edu.co.
Victoria Montes RestrepoGhent University, Department of Electronics and Information Systems, MEDISIP, De Pintelaan 185, Building BB Floor 5, 9000 Ghent, Belgium; iMinds Medical IT Department, Belgium.
Dirk Van RoostDepartment of Neurosurgery, Ghent University Hospital, Ghent, Belgium. Electronic address: dirk.vanroost@ugent.be.
Alfred MeursLaboratory for Clinical and Experimental Neurophysiology, Ghent University Hospital, Ghent, Belgium. Electronic address: alfred.meurs@ugent.be.
Kristl VonckLaboratory for Clinical and Experimental Neurophysiology, Ghent University Hospital, Ghent, Belgium. Electronic address: kristl.vonck@ugent.be.
Paul BoonLaboratory for Clinical and Experimental Neurophysiology, Ghent University Hospital, Ghent, Belgium. Electronic address: paul.boon@uzgent.be.
Stefaan VandenbergheGhent University, Department of Electronics and Information Systems, MEDISIP, De Pintelaan 185, Building BB Floor 5, 9000 Ghent, Belgium; iMinds Medical IT Department, Belgium. Electronic address: stefaan.vandenberghe@ugent.bfe.
Pieter van MierloGhent University, Department of Electronics and Information Systems, MEDISIP, De Pintelaan 185, Building BB Floor 5, 9000 Ghent, Belgium; iMinds Medical IT Department, Belgium. Electronic address: pieter.vanmierlo@ugent.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrical source imaging of interictal spikes observed in EEG recordings of patients with refractory epilepsy provides useful information to localize the epileptogenic focus during the presurgical evaluation. However, the selection of the time points or time epochs of the spikes in order to estimate the origin of the activity remains a challenge. In this study, we consider a Bayesian EEG source imaging technique for distributed sources, i.e. the multiple volumetric sparse priors (MSVP) approach. The approach allows to estimate the time courses of the intensity of the sources corresponding with a specific time epoch of the spike. Based on presurgical averaged interictal spikes in six patients who were successfully treated with surgery, we estimated the time courses of the source intensities for three different time epochs: (i) an epoch starting 50 ms before the spike peak and ending at 50% of the spike peak during the rising phase of the spike, (ii) an epoch starting 50 ms before the spike peak and ending at the spike peak and (iii) an epoch containing the full spike time period starting 50 ms before the spike peak and ending 230 ms after the spike peak. To identify the primary source of the spike activity, the source with the maximum energy from 50 ms before the spike peak till 50% of the spike peak was subsequently selected for each of the time windows. For comparison, the activity at the spike peaks and at 50% of the peaks was localized using the LORETA inversion technique and an ECD approach. Both patient-specific spherical forward models and patient-specific 5-layered finite difference models were considered to evaluate the influence of the forward model. Based on the resected zones in each of the patients, extracted from post-operative MR images, we compared the distances to the resection border of the estimated activity. Using the spherical models, the distances to the resection border for the MSVP approach and each of the different time epochs were in the same range as the LORETA and ECD techniques. We found distances smaller than 23 mm, with robust results for all the patients. For the finite difference models, we found that the distances to the resection border for the MSVP inversions of the full spike time epochs were generally smaller compared to the MSVP inversions of the time epochs before the spike peak. The results also suggest that the inversions using the finite difference models resulted in slightly smaller distances to the resection border compared to the spherical models. The results we obtained are promising because the MSVP approach allows to study the network of the estimated source-intensities and allows to characterize the spatial extent of the underlying sources.

Indexed as

Brain MappingAdolescentAdultBrain WavesElectroencephalographyEpilepsyFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMiddle AgedModels, TheoreticalRetrospective StudiesTime FactorsYoung AdultBayesian model selectionECDEEGInterictal spikesLORETASource priorsVolumetric priors

Identifiers

PMID26958464
PMCPMC4773507

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.