Literature DB >> 2050815

Principles of magnetoencephalography.

S Sato1, M Balish, R Muratore.   

Abstract

Magnetoencephalography (MEG) is a new, noninvasive functional test equivalent to EEG. It has been used to localize the sources of evoked responses and interictal and ictal epileptiform discharges and to study patients with psychiatric illnesses, cerebrovascular accidents, and migraine. In epilepsy research, it is hoped that MEG will provide information similar to that yielded by depth or subdural electrode recording, or that the combination of these methods will provide more information than either one alone. The application of MEG appears to be widening, although it is not yet a routine clinical diagnostic tool. The utility of MEG is limited by technological problems, but new and more efficient systems are becoming available. Within several years, advances in the technology and understanding of MEG may modify the course of its application.

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Year:  1991        PMID: 2050815     DOI: 10.1097/00004691-199104000-00003

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  6 in total

1.  An optimal constrained linear inverse method for magnetic source imaging.

Authors:  P Hughett
Journal:  Ann Biomed Eng       Date:  1995 Jul-Aug       Impact factor: 3.934

2.  Endogenously generated gamma-band oscillations in early visual cortex: A neurofeedback study.

Authors:  Nina Merkel; Michael Wibral; Gareth Bland; Wolf Singer
Journal:  Hum Brain Mapp       Date:  2018-04-26       Impact factor: 5.038

3.  Magnetoencephalography recording and analysis.

Authors:  Jayabal Velmurugan; Sanjib Sinha; Parthasarathy Satishchandra
Journal:  Ann Indian Acad Neurol       Date:  2014-03       Impact factor: 1.383

4.  Reappraisal of field dynamics of motor cortex during self-paced finger movements.

Authors:  Masataka Suzuki; Toshiaki Wasaka; Koji Inui; Ryusuke Kakigi
Journal:  Brain Behav       Date:  2013-10-17       Impact factor: 2.708

Review 5.  Magnetoencephalography in pediatric epilepsy.

Authors:  Hunmin Kim; Chun Kee Chung; Hee Hwang
Journal:  Korean J Pediatr       Date:  2013-10-31

6.  Epileptic MEG Spike Detection Using Statistical Features and Genetic Programming with KNN.

Authors:  Turky N Alotaiby; Saud R Alrshoud; Saleh A Alshebeili; Majed H Alhumaid; Waleed M Alsabhan
Journal:  J Healthc Eng       Date:  2017-10-01       Impact factor: 2.682

  6 in total

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