Evidence map›Paper›PMID 22172768›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2012

Seizure source imaging by means of FINE spatio-temporal dipole localization and directed transfer function in partial epilepsy patients.

Yunfeng Lu, Lin Yang, Gregory A Worrell, Bin He

Abstract readComparative Study
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Trial
  2. Review
  3. Mapping epileptogenic brain using a unified spatial-temporal-spectral source imaging framework.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Deep learning-based EEG source imaging is robust under varying electrode configurations.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Model-based design for seizure control by stimulation.Journal of neural engineering · 2020
    Article
  16. Computational modelling in source space from scalp EEG to inform presurgical evaluation of epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020
    Article
  17. Electrophysiological Brain Connectivity: Theory and Implementation.IEEE transactions on bio-medical engineering · 2019
    Article
  18. Review
  19. Review
  20. Phase Synchronization Dynamics of Neural Network during Seizures.Computational and mathematical methods in medicine · 2018
    Article
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

4 authors.

Yunfeng LuDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Lin Yang
Gregory A Worrell
Bin He

Funding

Microseizures, Ultra-slow & High Frequency Oscillations: Biomarkers of epilepsyR01NS063039 · NINDS · MAYO CLINIC ROCHESTER · PI WORRELL, GREGORY A · 2009 to 2013
$1.5M
A Computational Approach for 3D Brain Source ImagingR01EB007920 · NIBIB · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2007 to 2010
$1.3M
Multimodal Imaging of Brain Activity and ConnectivityR01EB006433 · NIBIB · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2009 to 2012
$1.3M
NIBIB NIH HHS R01 EB006433NIBIB NIH HHS R01 EB007920NINDS NIH HHS R01 NS063039
6 · The paper itself

Abstract

objectiveTo investigate the usage of a high-density EEG recording system and source imaging technique for localizing seizure activity in patients with medically intractable partial epilepsy.

methodsHigh-density, 76-channel scalp EEG signals were recorded in 10 patients with partial epilepsy. The patients underwent routine clinical pre-surgical evaluation and all had resective surgery with seizure free outcome. After applying a FINE (first principle vectors) spatio-temporal source localization and DTF (directed transfer function) connectivity analysis approach, ictal sources were imaged. Effects of number of scalp EEG electrodes on the seizure localization were also assessed using 76, 64, 48, 32, and 21 electrodes, respectively.

resultsSurgical resections were used to assess the source imaging results. Results from the 76-channel EEG in the 10 patients showed high correlation with the surgically resected brain regions. The localization of seizure onset zone from 76-channel EEG showed improved source detection accuracy compared to other EEG configurations with fewer electrodes.

conclusionsFINE together with DTF was able to localize seizure onset zones of partial epilepsy patients. High-density EEG recording can help achieve improved seizure source imaging. SIGNIFICANCE: The present results suggest the promise of high-density EEG and electrical source imaging for noninvasively localizing seizure onset zones.

Indexed as

AdultBrainBrain MappingComputer SimulationElectrodesElectroencephalographyEpilepsies, PartialFeasibility StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID22172768
PMCPMC3327757

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.