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Related Experiment Video

Updated: Jul 10, 2026

Functional Mapping with Simultaneous MEG and EEG
06:04

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

Modeling and detecting deep brain activity with MEG & EEG.

Yohan Attal1, Manik Bhattacharjee, Jerome Yelnik

  • 1Cognitive Neuroscience & Brain Imaging Laboratory, CNRS UPR640-LENA, Hôpital de la Salpêtrière, University of Paris6, France. yohan.attal@chups.jussieu.fr

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 16, 2007
PubMed
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Magnetoencephalography (MEG) and electroencephalography (EEG) can now image deep brain structures. Our new models show these techniques can detect signals from the basal ganglia and hippocampus, not just the cortex.

Area of Science:

  • Neuroscience
  • Biophysics
  • Medical Imaging

Background:

  • Current magnetoencephalography (MEG) and electroencephalography (EEG) inverse models primarily focus on superficial cortical sources.
  • Deep brain structures like the basal ganglia and hippocampus have been largely overlooked as contributors to scalp-recorded signals.

Purpose of the Study:

  • To develop an anatomical and electrophysiological model for deep brain structures relevant to MEG/EEG source imaging.
  • To investigate the sensitivity of MEG and EEG to neural activity originating from deep brain regions.

Main Methods:

  • Creation of a realistic anatomical and electrophysiological model of deep brain structures (basal ganglia, hippocampus).
  • Utilizing Monte Carlo simulations to assess MEG and EEG sensitivity to deep sources.

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Related Experiment Videos

Last Updated: Jul 10, 2026

Functional Mapping with Simultaneous MEG and EEG
06:04

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging
10:48

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging

Published on: June 3, 2013

Electromagnetic Source Imaging in Presurgical Evaluation of Children with Drug-Resistant Epilepsy
09:57

Electromagnetic Source Imaging in Presurgical Evaluation of Children with Drug-Resistant Epilepsy

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  • Validation with experimental MEG data showing alpha wave modulation.

    • Main Results:

    • MEG and EEG signals can indeed originate from and localize deep brain generators.
    • The study demonstrates the potential for imaging deeper neural activity than previously assumed.
    • Experimental data confirmed the localization of deep sources through alpha brain wave modulation.

    Conclusions:

    • The developed models expand the capabilities of MEG/EEG source imaging to include deep brain structures.
    • This research challenges the conventional view and opens new avenues for studying subcortical neurological processes.
    • MEG and EEG are viable tools for investigating the functional neuroanatomy of deep brain regions.