Literature DB >> 8728427

MEG and EEG topography of frontal midline theta rhythm and source localization.

K Iramina1, S Ueno, S Matsuoka.   

Abstract

In this paper, we report on our study of frontal midline theta (Fm theta) activity in human subjects, recorded during mental processes such as arithmetic calculation. The Fm theta is a 6-7 Hz rhythmic wave with a duration of few seconds. The Fm theta activity is observed in the central region at the front of the head. EEGs and MEGs of Fm theta were measured simultaneously during mental calculation, and we analyzed these waveforms based on both topographic EEG maps and magnetic fields measurements. A single dipole simulated the EEG topography adequately, but there are many other dipole models which can generate a similar EEG pattern. It is difficult to estimate the source location of the Fm theta from the EEG topography alone because the EEG technique has a certain ambiguity associated with source estimation. Therefore, we considered the spatial relationships between the sources and the patterns of EEG and MEG that were simulated. Although it is not possible to obtain a unique solution for the source location of Fm theta from the EEG data alone, the simultaneous recording of MEGs from a large scalp area may result in an unambiguous solution. We therefore conclude that the simultaneous recording of both MEG and EEG data is more useful for accurate localization, than the EEG alone.

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Mesh:

Year:  1996        PMID: 8728427     DOI: 10.1007/BF01184793

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  1 in total

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Authors:  T Ishihara; N Yoshi
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1972-07
  1 in total
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Journal:  Neuroimage       Date:  2013-08-08       Impact factor: 6.556

2.  An oscillatory short-term memory buffer model can account for data on the Sternberg task.

Authors:  O Jensen; J E Lisman
Journal:  J Neurosci       Date:  1998-12-15       Impact factor: 6.167

3.  Demonstrating test-retest reliability of electrophysiological measures for healthy adults in a multisite study of biomarkers of antidepressant treatment response.

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Journal:  Psychophysiology       Date:  2017-01       Impact factor: 4.016

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Journal:  Front Hum Neurosci       Date:  2013-08-09       Impact factor: 3.169

5.  Cerebral oscillatory activity during simulated driving using MEG.

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Journal:  Front Hum Neurosci       Date:  2014-12-16       Impact factor: 3.169

6.  Frontal midline theta rhythm and gamma power changes during focused attention on mental calculation: an MEG beamformer analysis.

Authors:  Ryouhei Ishii; Leonides Canuet; Tsutomu Ishihara; Yasunori Aoki; Shunichiro Ikeda; Masahiro Hata; Themistoklis Katsimichas; Atsuko Gunji; Hidetoshi Takahashi; Takayuki Nakahachi; Masao Iwase; Masatoshi Takeda
Journal:  Front Hum Neurosci       Date:  2014-06-11       Impact factor: 3.169

7.  Resting State Functional Connectivity MRI among Spectral MEG Current Sources in Children on the Autism Spectrum.

Authors:  Michael Datko; Robert Gougelet; Ming-Xiong Huang; Jaime A Pineda
Journal:  Front Neurosci       Date:  2016-06-09       Impact factor: 4.677

  7 in total

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