Literature DB >> 5009769

Magnetoencephalography: detection of the brain's electrical activity with a superconducting magnetometer.

D Cohen.   

Abstract

Measurements of the brain's magnetic field, called magnetoencephalograms (MEG's), have been taken with a superconducting magnetometer in a heavily shielded room. This magnetometer has been adjusted to a much higher sensitivity than was previously attainable, and as a result MEG's can, for the first time, be taken directly, without noise averaging. MEG's are shown, simultaneously with the electroencephalogram (EEG), of the alpha rhythm of a normal subject and of the slow waves from an abnormal subject. The normal MEG shows the alpha rhythm, as does the EEG, when the subject's eyes are closed; however, this MEG also shows that higher detector sensitivity, by a factor of 3, would be necessary in order to clearly show the smaller brain events when the eyes are open. The abnormal MEG, including a measurenment of the direct-current component, suggests that the MEG may yield some information which is new and different from that provided by the EEG.

Entities:  

Mesh:

Year:  1972        PMID: 5009769     DOI: 10.1126/science.175.4022.664

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  82 in total

1.  Magnetoencephalographic representation of the sensorimotor hand area in cases of intracerebral tumour.

Authors:  M Oishi; M Fukuda; S Kameyama; T Kawaguchi; H Masuda; R Tanaka
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-12       Impact factor: 10.154

2.  Modeling and source localization of MEG activities.

Authors:  S Ueno; K Iramina
Journal:  Brain Topogr       Date:  1990       Impact factor: 3.020

3.  Effect of prestimulus alpha power, phase, and synchronization on stimulus detection rates in a biophysical attractor network model.

Authors:  Mikael Lundqvist; Pawel Herman; Anders Lansner
Journal:  J Neurosci       Date:  2013-07-17       Impact factor: 6.167

Review 4.  Magnetoencephalography in the preoperative evaluation for epilepsy surgery.

Authors:  Christopher T Anderson; Chad E Carlson; Zhimin Li; Manoj Raghavan
Journal:  Curr Neurol Neurosci Rep       Date:  2014-05       Impact factor: 5.081

5.  Mapping the signal-to-noise-ratios of cortical sources in magnetoencephalography and electroencephalography.

Authors:  Daniel M Goldenholz; Seppo P Ahlfors; Matti S Hämäläinen; Dahlia Sharon; Mamiko Ishitobi; Lucia M Vaina; Steven M Stufflebeam
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

6.  Investigating the electrophysiological basis of resting state networks using magnetoencephalography.

Authors:  Matthew J Brookes; Mark Woolrich; Henry Luckhoo; Darren Price; Joanne R Hale; Mary C Stephenson; Gareth R Barnes; Stephen M Smith; Peter G Morris
Journal:  Proc Natl Acad Sci U S A       Date:  2011-09-19       Impact factor: 11.205

7.  Source models of sleep spindles using MEG and EEG measurements.

Authors:  H Yoshida; K Iramina; S Ueno
Journal:  Brain Topogr       Date:  1996       Impact factor: 3.020

Review 8.  Neuromagnetic functional localization: principles, state of the art, and perspectives.

Authors:  G L Romani; P Rossini
Journal:  Brain Topogr       Date:  1988       Impact factor: 3.020

9.  Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects.

Authors:  Joseph N Mak; Jonathan R Wolpaw
Journal:  IEEE Rev Biomed Eng       Date:  2009

10.  Design of a dynamic transcranial magnetic stimulation coil system.

Authors:  Sheng Ge; Ruoli Jiang; Ruimin Wang; Ji Chen
Journal:  J Med Syst       Date:  2014-06-24       Impact factor: 4.460

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.