Evidence map›Paper›PMID 33477100›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2021

Source localization of epileptic spikes using Multiple Sparse Priors.

Mariano Fernandez-Corazza, Rui Feng, Chengxin Ma, Jie Hu, Li Pan, Phan Luu, Don Tucker

Open access · hybridAbstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Feasibility of a Personal Neuromorphic Emulation.Entropy (Basel, Switzerland) · 2024
    Article
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  4. Review
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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 4 institutions in 3 countries.

Mariano Fernandez-CorazzaLEICI Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales, Universidad Nacional de La Plata - CONICET, Argentina. Electronic address: marianof.corazza@ing.unlp.edu.ar.
Rui FengDepartment of Neurosurgery, Huashan Hospital of Fudan University, Shanghai, China.
Chengxin MaDepartment of Neurosurgery, Huashan Hospital of Fudan University, Shanghai, China.
Jie HuDepartment of Neurosurgery, Huashan Hospital of Fudan University, Shanghai, China.
Li PanDepartment of Neurosurgery, Huashan Hospital of Fudan University, Shanghai, China.
Phan LuuBrain Electrophysiology Laboratory (BEL) Company, Eugene, OR, USA; NeuroInformatics Center, University of Oregon, Eugene, OR, USA.
Don TuckerBrain Electrophysiology Laboratory (BEL) Company, Eugene, OR, USA; NeuroInformatics Center, University of Oregon, Eugene, OR, USA.
Fudan University · CNHuashan Hospital · CNUniversity of Oregon · USUniversidad Nacional de La Plata · AR

Funding

Home Sleep Therapy System for Mild Cognitive ImpairmentR44AG077965 · NIA · BRAIN ELECTROPHYSIOLOGY LABORATORY COMPANY, LLC · PI TUCKER, DON M · 2022 to 2025
$2.6M
Improving Spatiotemporal Precision in Noninvasive Electrical NeuromodulationR44MH115955 · NIMH · BRAIN ELECTROPHYSIOLOGY LABORATORY COMPANY, LLC · PI TUCKER, DON M · 2019 to 2021
$2.6M
NIA NIH HHS R44 AG077965NIMH NIH HHS R44 MH115955
6 · The paper itself

Abstract

objectiveTo evaluate epileptic source estimation using multiple sparse priors (MSP) inverse method and high-resolution, individual electrical head models.

methodsAccurate source localization is dependent on accurate electrical head models and appropriate inverse solvers. Using high-resolution, individual electrical head models in fifteen epilepsy patients, with surgical resection and clinical outcome as criteria for accuracy, performance of MSP method was compared against standardized low-resolution brain electromagnetic tomography (sLORETA) and coherent maximum entropy on the mean (cMEM) methods.

resultsThe MSP method performed similarly to the sLORETA method and slightly better than the cMEM method in terms of success rate. The MSP and cMEM methods were more focal than sLORETA with the advantage of not requiring an arbitrary selection of a hyperparameter or thresholding of reconstructed current density values to determine focus. MSP and cMEM methods were better than sLORETA in terms of spatial dispersion.

conclusionsResults suggest that the three methods are complementary and could be used together. In practice, the MSP method will be easier to use and interpret compared to sLORETA, and slightly more accurate and faster than the cMEM method. SIGNIFICANCE: Source localization of interictal spikes from dense-array electroencephalography data has been shown to be a reliable marker of epileptic foci and useful for pre-surgical planning. The advantages of MSP make it a useful complement to other inverse solvers in clinical practice.

Indexed as

Patient-Specific ModelingAdolescentAdultBrain MappingElectroencephalographyEpilepsyEvoked PotentialsFemaleHeadHumansMaleMiddle AgedBayesianElectroencephalography (EEG)EpilepsyMultiple sparse priorssLORETASource localization

Identifiers

PMID33477100
PMCPMC7971150
OpenAlexW3108449292

What OpenQuestion holds

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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.