Literature DB >> 25648821

High-resolution EEG (HR-EEG) and magnetoencephalography (MEG).

M Gavaret1, L Maillard2, J Jung3.   

Abstract

High-resolution EEG (HR-EEG) and magnetoencephalography (MEG) allow the recording of spontaneous or evoked electromagnetic brain activity with excellent temporal resolution. Data must be recorded with high temporal resolution (sampling rate) and high spatial resolution (number of channels). Data analyses are based on several steps with selection of electromagnetic signals, elaboration of a head model and use of algorithms in order to solve the inverse problem. Due to considerable technical advances in spatial resolution, these tools now represent real methods of ElectroMagnetic Source Imaging. HR-EEG and MEG constitute non-invasive and complementary examinations, characterized by distinct sensitivities according to the location and orientation of intracerebral generators. In the presurgical assessment of drug-resistant partial epilepsies, HR-EEG and MEG can characterize and localize interictal activities and thus the irritative zone. HR-EEG and MEG often yield significant additional data that are complementary to other presurgical investigations and particularly relevant in MRI-negative cases. Currently, the determination of the epileptogenic zone and functional brain mapping remain rather less well-validated indications. In France, in 2014, HR-EEG is now part of standard clinical investigation of epilepsy, while MEG remains a research technique.
Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  EEG haute résolution; Epilepsy; HR-EEG; Localisation de source; MEG; Source localization; Épilepsie

Mesh:

Year:  2015        PMID: 25648821     DOI: 10.1016/j.neucli.2014.11.011

Source DB:  PubMed          Journal:  Neurophysiol Clin        ISSN: 0987-7053            Impact factor:   3.734


  1 in total

1.  Common Interferences Removal from Dense Multichannel EEG Using Independent Component Decomposition.

Authors:  Weifeng Li; Yuxiaotong Shen; Jie Zhang; Xiaolin Huang; Ying Chen; Yun Ge
Journal:  Comput Math Methods Med       Date:  2018-05-27       Impact factor: 2.238

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.