Literature DB >> 16012679

Continuous head-localization and data correction in a whole-cortex MEG sensor.

H S Wilson1.   

Abstract

Continuous monitoring of the position of a subject's head is an essential part of improving localization accuracy and resolution in MEG. We describe a procedure that has been developed for whole-cortex MEG sensors. The system uses three (or more) small head coils driven continuously by low-amplitude sinusoidal currents with frequencies chosen so they do not interfere with MEG measurements and with each other and are easily separated from power-line signals and harmonics. Analysis of the response of the MEG sensors to the head coils allows continuous monitoring of the position (update times as short as T=2/fpower) using a 3-parameter minimization. The best-fit positions of the head coils are then combined to determine the head translation and rotation. Analysis of phantom data recorded with a 275-channel CTF MEG system in a shielded room shows that coil positions can be determined with an accuracy of approximately 2 mm with an update period T=1/15 s even when the head coils are moving approximately 25 mm at speeds up to 40 mm/s. Data are corrected by expressing the scalar potential for the magnetic field as a spherical-harmonic series, and then determining the effect of rotations and translations on the terms of the series. Since the MEG helmet covers only approximately 60% of the full sphere, care must be taken in determining the coefficients of the spherical-harmonic series to ensure that the modeled magnetic field does not become unrealistically large in the region where there are no MEG sensors (i.e. in the lower 40% of the sphere). Our approach has been to use a minimum-field-energy criterion that minimizes the squared gradient averaged over 4pi sr and radii from 96 to 145 mm while matching the MEG measurements.

Entities:  

Mesh:

Year:  2004        PMID: 16012679

Source DB:  PubMed          Journal:  Neurol Clin Neurophysiol        ISSN: 1526-8748


  6 in total

1.  Interictal MEG/MSI in intractable mesial temporal lobe epilepsy: spike yield and characterization.

Authors:  Kitti Kaiboriboon; Srikantan Nagarajan; Mary Mantle; Heidi E Kirsch
Journal:  Clin Neurophysiol       Date:  2010-01-12       Impact factor: 3.708

2.  Enhancing Hebbian Learning to Control Brain Oscillatory Activity.

Authors:  Surjo R Soekadar; Matthias Witkowski; Niels Birbaumer; Leonardo G Cohen
Journal:  Cereb Cortex       Date:  2014-03-13       Impact factor: 5.357

3.  Head movements of children in MEG: quantification, effects on source estimation, and compensation.

Authors:  Daniel T Wehner; Matti S Hämäläinen; Maria Mody; Seppo P Ahlfors
Journal:  Neuroimage       Date:  2008-02-05       Impact factor: 6.556

4.  High precision anatomy for MEG.

Authors:  Luzia Troebinger; José David López; Antoine Lutti; David Bradbury; Sven Bestmann; Gareth Barnes
Journal:  Neuroimage       Date:  2013-08-01       Impact factor: 6.556

5.  Localization of interictal epileptiform activity using magnetoencephalography with synthetic aperture magnetometry in patients with a vagus nerve stimulator.

Authors:  Jennifer R Stapleton-Kotloski; Robert J Kotloski; Jane A Boggs; Gautam Popli; Cormac A O'Donovan; Daniel E Couture; Cassandra Cornell; Dwayne W Godwin
Journal:  Front Neurol       Date:  2014-11-27       Impact factor: 4.003

Review 6.  Magnetoencephalography in Stroke Recovery and Rehabilitation.

Authors:  Andrea Paggiaro; Niels Birbaumer; Marianna Cavinato; Cristina Turco; Emanuela Formaggio; Alessandra Del Felice; Stefano Masiero; Francesco Piccione
Journal:  Front Neurol       Date:  2016-03-31       Impact factor: 4.003

  6 in total

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