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magnetoencephalography
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magnetoencephalography

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Also known as MEG

Magnetoencephalography (MEG) is a functional neuroimaging technique for mapping brain activity by recording magnetic fields produced by electrical currents occurring naturally in the brain, using very sensitive magnetometers. Arrays of SQUIDs (superconducting quantum interference devices) are currently the most common magnetometer, while the SERF (spin exchange relaxation-free) magnetometer is being investigated for future machines. Applications of MEG include basic research into perceptual and cognitive brain processes, localizing regions affected by pathology before surgical removal, determi

In the Vinony graph

Vinony's link graph records 309 inbound references to magnetoencephalography, and connects out to ferromagnetism, functional magnetic resonance imaging and SQUID.

It is catalogued under topics including Diagnostic neurology, Electrodiagnosis and Magnetoencephalography.

Vinony links it to 23 Wikipedia language editions.

Key facts

Diagnostic.Name
Magnetoencephalography
Diagnostic.Image
NIMH MEG.jpg
Diagnostic.Caption
Person undergoing a MEG
Diagnostic.MeshID
D015225

via Wikipedia infobox

Research

13,020 papers

via PubMed

Wikidata facts

Image
NIMH MEG.jpg
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Commons category
Magnetoencephalography
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via Wikidata · CC0

~23 min read

Encyclopedic overview

21 sections
Contents
  • History
  • The basis of the MEG signal
  • Magnetic shielding
  • Magnetically shielded room (MSR)
  • Active shielding system
  • Source localization
  • The inverse problem
  • Magnetic source imaging
  • Dipole model source localization
  • Distributed source models
  • Independent component analysis (ICA)
  • Use in the field
  • Brain connectivity and neural oscillations
  • Focal epilepsy
  • Fetal
  • Traumatic brain injury
  • Comparison with related techniques
  • MEG in comparison to EEG
  • See also
  • References
  • Further reading

Magnetoencephalography (MEG) is a functional neuroimaging technique for mapping brain activity by recording magnetic fields produced by electrical currents occurring naturally in the brain, using very sensitive magnetometers. Arrays of SQUIDs (superconducting quantum interference devices) are currently the most common magnetometer, while the SERF (spin exchange relaxation-free) magnetometer is being investigated for future machines. Applications of MEG include basic research into perceptual and cognitive brain processes, localizing regions affected by pathology before surgical removal, determining the function of various parts of the brain, and neurofeedback. This can be applied in a clinical setting to find locations of abnormalities as well as in an experimental setting to simply measure brain activity.

== History == thumbnail|250px|left|Dr. Cohen's shielded room at MIT, in which first MEG was measured with a SQUID thumbnail|500px|left|First MEG measured with SQUID, in Dr. Cohen's room at MIT MEG signals were first measured by University of Illinois physicist David Cohen in 1968, before the availability of the SQUID, using a copper induction coil as the detector. To reduce the magnetic background noise, the measurements were made in a magnetically shielded room. The coil detector was barely sensitive enough, resulting in poor, noisy MEG measurements that were difficult to use. Later, Cohen built a much better shielded room at MIT, and used one of the first SQUID detectors, just developed by James E. Zimmerman, a researcher at Ford Motor Company, to again measure MEG signals. This time the signals were almost as clear as those of EEG. This stimulated the interest of physicists who had been looking for uses of SQUIDs. Subsequent to this, various types of spontaneous and evoked MEGs began to be measured.

Excerpted from Wikipedia’s “magnetoencephalography” article, available under the CC BY-SA 4.0 licence.

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