Evidence map›Paper›PMID 25088733›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2015

Effect of EEG electrode number on epileptic source localization in pediatric patients.

Abbas Sohrabpour, Yunfeng Lu, Pongkiat Kankirawatana, Jeffrey Blount, Hyunmi Kim, Bin He

Abstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Deep learning-based EEG source imaging is robust under varying electrode configurations.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
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  6. Article
  7. Review
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  12. Use, experience and perspectives of high-density EEG among Italian epilepsy centers: a national survey.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  13. Article
  14. Article
  15. Electroencephalography: electrode arrays in dogs.Frontiers in veterinary science · 2024
    Review
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  17. Article
  18. Article
  19. Article
  20. Applying correlation analysis to electrode optimization in source domain.Medical & biological engineering & computing · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Abbas SohrabpourDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
Yunfeng LuDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
Pongkiat KankirawatanaDivision of Pediatric Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
Jeffrey BlountDivision of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, USA.
Hyunmi KimDivision of Pediatric Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
Bin HeDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA; Institute for Engineering in Medicine, University of Minnesota, Minneapolis, MN, USA. Electronic address: binhe@umn.edu.

Funding

Cannabinoid-based therapy and approaches to quantify pain in sickle cell diseaseU01HL117664 · NHLBI · UNIVERSITY OF MINNESOTA · PI GUPTA, KALPNA · 2013 to 2018
$9.6M
Multimodal Imaging of Brain Activity and ConnectivityR01EB006433 · NIBIB · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2009 to 2012
$1.3M
CRCNS: Spatiotemporal imaging study of the mechanisms of binocular rivalryR01EY023101 · NEI · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2012 to 2014
$1.1M
NEI NIH HHS EY023101NEI NIH HHS R01 EY023101NHLBI NIH HHS HL117664NHLBI NIH HHS U01 HL117664NIBIB NIH HHS EB006433NIBIB NIH HHS R01 EB006433
6 · The paper itself

Abstract

objectiveTo investigate the relationship between EEG source localization and the number of scalp EEG recording channels.

methods128 EEG channel recordings of 5 pediatric patients with medically intractable partial epilepsy were used to perform source localization of interictal spikes. The results were compared with surgical resection and intracranial recordings. Various electrode configurations were tested and a series of computer simulations based on a realistic head boundary element model were also performed in order to further validate the clinical findings.

resultsThe improvement seen in source localization substantially decreases as the number of electrodes increases. This finding was evaluated using the surgical resection, intracranial recordings and computer simulation. It was also shown in the simulation that increasing the electrode numbers could remedy the localization error of deep sources. A plateauing effect was seen in deep and superficial sources with further increasing the electrode number.

conclusionThe source localization is improved when electrode numbers increase, but the absolute improvement in accuracy decreases with increasing electrode number. SIGNIFICANCE: Increasing the electrode number helps decrease localization error and thus can more ably assist the physician to better plan for surgical procedures.

Indexed as

AdolescentBrainBrain MappingChildChild, PreschoolComputer SimulationElectrodesElectroencephalographyEpilepsies, PartialFemaleHumansMaleEEG source localizationElectrode numberHigh resolution EEGInterictal spikesPartial epilepsyPediatric patients

Identifiers

PMID25088733
PMCPMC4289666

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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.