Literature DB >> 8728423

Source models of sleep spindles using MEG and EEG measurements.

H Yoshida1, K Iramina, S Ueno.   

Abstract

MEG measurements can detect brain sources that are difficult to detect with EEG measurements. The purpose of this study was to investigate models of sleep spindles using both MEG and EEG activities that had been recorded simultaneously. The components of magnetic fields perpendicular to the surface of the head were measured using a DC-SQUID with a first-derivative gradiometer. We propose three models for sleep spindles. In the first model, the source slides into the superficial region of the head so as to be perpendicular to it's surface, and with this model, the power spectrum of the MEG is decreased. In the second model, the source slides into the deeper structures, so that it is perpendicular to the surface. Here, the power spectra of both the MEG and EEG are decreased. The third model has source perpendicular to the surface, leaning and sliding into the deeper structures. Here, the power spectrum of the EEG is decreased but that of the MEG is not.

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Year:  1996        PMID: 8728423     DOI: 10.1007/BF01184789

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


  12 in total

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Journal:  Science       Date:  1972-02-11       Impact factor: 47.728

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  8 in total

1.  Magnetoencephalography demonstrates multiple asynchronous generators during human sleep spindles.

Authors:  Nima Dehghani; Sydney S Cash; Andrea O Rossetti; Chih Chuan Chen; Eric Halgren
Journal:  J Neurophysiol       Date:  2010-04-28       Impact factor: 2.714

2.  Emergence of synchronous EEG spindles from asynchronous MEG spindles.

Authors:  Nima Dehghani; Sydney S Cash; Eric Halgren
Journal:  Hum Brain Mapp       Date:  2011-02-17       Impact factor: 5.038

3.  Topographical frequency dynamics within EEG and MEG sleep spindles.

Authors:  Nima Dehghani; Sydney S Cash; Eric Halgren
Journal:  Clin Neurophysiol       Date:  2010-07-15       Impact factor: 3.708

4.  A Novel Approach to Estimating the Cortical Sources of Sleep Spindles Using Simultaneous EEG/MEG.

Authors:  Dimitrios Mylonas; Martin Sjøgård; Zhaoyue Shi; Bryan Baxter; Matti Hämäläinen; Dara S Manoach; Sheraz Khan
Journal:  Front Neurol       Date:  2022-06-16       Impact factor: 4.086

5.  Divergent cortical generators of MEG and EEG during human sleep spindles suggested by distributed source modeling.

Authors:  Nima Dehghani; Sydney S Cash; Chih C Chen; Donald J Hagler; Mingxiong Huang; Anders M Dale; Eric Halgren
Journal:  PLoS One       Date:  2010-07-07       Impact factor: 3.240

6.  Interactions between core and matrix thalamocortical projections in human sleep spindle synchronization.

Authors:  Maxime Bonjean; Tanya Baker; Maxim Bazhenov; Sydney Cash; Eric Halgren; Terrence Sejnowski
Journal:  J Neurosci       Date:  2012-04-11       Impact factor: 6.167

7.  The Emergence of Spindles and K-Complexes and the Role of the Dorsal Caudal Part of the Anterior Cingulate as the Generator of K-Complexes.

Authors:  Andreas A Ioannides; Lichan Liu; George K Kostopoulos
Journal:  Front Neurosci       Date:  2019-08-07       Impact factor: 4.677

8.  Using MEG to Understand the Progression of Light Sleep and the Emergence and Functional Roles of Spindles and K-Complexes.

Authors:  Andreas A Ioannides; Lichan Liu; Vahe Poghosyan; George K Kostopoulos
Journal:  Front Hum Neurosci       Date:  2017-06-16       Impact factor: 3.169

  8 in total

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