Literature DB >> 26238854

Visualizing spikes in source-space: Rapid and efficient evaluation of magnetoencephalography.

Sándor Beniczky1, Lene Duez2, Michael Scherg3, Peter Orm Hansen2, Hatice Tankisi2, Per Sidenius4, Anne Sabers5, Lars Hageman Pinborg5, Peter Uldall6, Anders Fuglsang-Frederiksen2.   

Abstract

OBJECTIVE: Reviewing magnetoencephalography (MEG) recordings is time-consuming: signals from the 306 MEG-sensors are typically reviewed divided into six arrays of 51 sensors each, thus browsing each recording six times in order to evaluate all signals. A novel method of reconstructing the MEG signals in source-space was developed using a source-montage of 29 brain-regions and two spatial components to remove magnetocardiographic (MKG) artefacts. Our objective was to evaluate the accuracy of reviewing MEG in source-space.
METHODS: In 60 consecutive patients with epilepsy, we prospectively evaluated the accuracy of reviewing the MEG signals in source-space as compared to the classical method of reviewing them in sensor-space.
RESULTS: All 46 spike-clusters identified in sensor-space were also identified in source-space. Two additional spike-clusters were identified in source-space. As 29 source-channels can be easily displayed simultaneously, MEG recordings had to be browsed only once. Yet, this yielded a global coverage of the recorded signals and enhanced detectability of epileptiform discharges because MKG-artefacts were suppressed and did not impede evaluation in source-space.
CONCLUSIONS: Our results show that reviewing MEG recordings in source-space is accurate and much more rapid than the classical method of reviewing in sensor-space. SIGNIFICANCE: This novel method facilitates the clinical use of MEG.
Copyright © 2015 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Artefact correction; Epileptiform activity; Magnetoencephalography; Source-montage; Source-space

Mesh:

Year:  2015        PMID: 26238854     DOI: 10.1016/j.clinph.2015.07.017

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  4 in total

1.  Taking the EEG Back Into the Brain: The Power of Multiple Discrete Sources.

Authors:  Michael Scherg; Patrick Berg; Nobukazu Nakasato; Sándor Beniczky
Journal:  Front Neurol       Date:  2019-08-20       Impact factor: 4.003

2.  EEG-fMRI: Ballistocardiogram Artifact Reduction by Surrogate Method for Improved Source Localization.

Authors:  Mateusz Rusiniak; Harald Bornfleth; Jae-Hyun Cho; Tomasz Wolak; Nicole Ille; Patrick Berg; Michael Scherg
Journal:  Front Neurosci       Date:  2022-03-10       Impact factor: 4.677

3.  Visual analysis of high density EEG: As good as electrical source imaging?

Authors:  Gianpaolo Toscano; Margherita Carboni; Maria Rubega; Laurent Spinelli; Francesca Pittau; Andrea Bartoli; Shahan Momjian; Raffaele Manni; Michele Terzaghi; Serge Vulliemoz; Margitta Seeck
Journal:  Clin Neurophysiol Pract       Date:  2019-11-30

4.  Sensitivity of a 29-Channel MEG Source Montage.

Authors:  Jukka Nenonen; Liisa Helle; Amit Jaiswal; Elizabeth Bock; Nicole Ille; Harald Bornfleth
Journal:  Brain Sci       Date:  2022-01-13
  4 in total

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