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Related Experiment Videos

The somatosensory evoked magnetic fields.

R Kakigi1, M Hoshiyama, M Shimojo

  • 1Department of Integrative Physiology, National Institute for Physiological Sciences, Myodaiji, Okazaki, Japan. kakigi@nips.ac.jp

Progress in Neurobiology
|April 5, 2000
PubMed
Summary

Magnetoencephalography (MEG) reveals somatosensory evoked magnetic fields (SEF) originate in specific brain areas, including the primary somatosensory cortex (SI) and secondary somatosensory cortex (SII). This technique aids in understanding somatosensation, pain, and neurological conditions.

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Area of Science:

  • Neuroscience
  • Biophysics
  • Medical Imaging

Background:

  • Magnetoencephalography (MEG) measures magnetic fields produced by neural activity.
  • Somatosensory evoked magnetic fields (SEF) reflect brain responses to touch, pressure, or movement.
  • Understanding SEF localization is crucial for mapping somatosensory pathways.

Purpose of the Study:

  • To review and analyze magnetoencephalography (MEG) data on somatosensory evoked magnetic fields (SEF) in humans.
  • To investigate the neural sources of SEF following various somatosensory stimuli.
  • To explore clinical applications and cortical plasticity related to SEF.

Main Methods:

  • Averaged MEG recordings following electrical and passive movement stimulation.
  • Equivalent current dipole (ECD) modeling to estimate neural source locations.

Related Experiment Videos

  • Analysis of SEF components at different latency ranges.
  • Introduction of a novel 12-channel micro-SQUID gradiometer system for peripheral nerve studies.

    • Main Results:

    • Middle-latency SEF (80-100 ms) after electrical stimulation localize to area 3b of the primary somatosensory cortex (SI).
    • SEF to passive finger movement originate in areas 3a or 2 of SI.
    • Long-latency SEF (80-120 ms) localize to the bilateral secondary somatosensory cortex (SII).
    • Pain-specific SEF (>150 ms) localize to bilateral SII and limbic system.
    • Novel micro-SQUID system successfully detected nerve action fields (NAFs) from human peripheral nerves.

    Conclusions:

    • SEF provide valuable insights into the functional organization of the human somatosensory system.
    • MEG-based source localization of SEF aids in understanding sensory processing, pain perception, and neurological disorders.
    • Clinical applications of SEF in neurosurgery and neurology are significant.
    • Cortical plasticity of SI can be investigated using SEF.
    • Advanced MEG technology enables non-invasive detection of peripheral nerve activity.