Improving MEG Performance With Additional Tangential Sensors

Recently, the signal space separation (SSS) method, based on the multipole expansion of the magnetic field, has become increasingly important in magnetoencephalography (MEG). Theoretical arguments and simulations suggest that increasing the asymmetry of the MEG sensor array from the traditional, rather symmetric geometry can significantly improve the performance of the method. To test this concept, we first simulated addition of tangentially oriented standard sensor elements to the existing 306-channel Elekta Neuromag sensor array, and evaluated and optimized the performance of the new sensor configuration. Based on the simulation results, we then constructed a prototype device with 18 additional tangential triple-sensor elements and a total of 360 channels. The experimental results from the prototype are largely in agreement with the simulations. In application of the spatial SSS method, the 360-channel device shows an approximately 100% increase in software shielding capability, while residual reconstruction noise of evoked responses is decreased by 20%. Further, the new device eliminates the need for regularization while applying the SSS method. In conclusion, we have demonstrated in practice the benefit of reducing the symmetry of the MEG array, without the need for a complete redesign.

[1]  S. Taulu,et al.  Suppression of Interference and Artifacts by the Signal Space Separation Method , 2003, Brain Topography.

[2]  S. Taulu,et al.  Applications of the signal space separation method , 2005, IEEE Transactions on Signal Processing.

[3]  M Burghoff,et al.  A sensor configuration for a 304 SQUID vector magnetometer. , 2004, Neurology & clinical neurophysiology : NCN.

[4]  V Diekmann,et al.  A comparison of normal and tangential magnetic field component measurements in biomagnetic investigations. , 1991, Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics.

[5]  S Della Penna,et al.  Calibration of a multichannel MEG system based on the signal space separation method. , 2012, Physics in medicine and biology.

[6]  A. Nehorai,et al.  Magnetoencephalography with diversely oriented and multicomponent sensors , 1997, IEEE Transactions on Biomedical Engineering.

[7]  Akihiko Kandori,et al.  A whole-head SQUID system for detecting vector components , 1997 .

[8]  J. Haueisen,et al.  Reconstruction of quasi-radial dipolar activity using three-component magnetic field measurements , 2012, Clinical Neurophysiology.

[9]  R. Ilmoniemi,et al.  Sampling theory for neuromagnetic detector arrays , 1993, IEEE Transactions on Biomedical Engineering.

[10]  S. Taulu,et al.  Presentation of electromagnetic multichannel data: The signal space separation method , 2005 .

[11]  S. Taulu,et al.  Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements , 2006, Physics in medicine and biology.

[12]  Tsunehiro Takeda,et al.  Direct reconstruction algorithm of current dipoles for vector magnetoencephalography and electroencephalography , 2007, Physics in medicine and biology.

[13]  R. Ilmoniemi,et al.  Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain , 1993 .

[14]  J. Haueisen,et al.  Information content in single-component versus three-component cardiomagnetic fields , 2004, IEEE Transactions on Magnetics.

[15]  Samu Taulu,et al.  PROCESSING OF WEAK MAGNETIC MULTICHANNEL SIGNALS: THE SIGNAL SPACE SEPARATION METHOD , 2008 .

[16]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[17]  J Nurminen,et al.  Improving the performance of the signal space separation method by comprehensive spatial sampling. , 2010, Physics in medicine and biology.

[18]  A Pasquarelli,et al.  Argos 500: operation of a helmet vector-MEG. , 2004, Neurology & clinical neurophysiology : NCN.

[19]  J Nurminen,et al.  Effects of sensor calibration, balancing and parametrization on the signal space separation method. , 2008, Physics in medicine and biology.

[20]  Jens Haueisen,et al.  Three component magnetic field data: Impact on minimum norm solutions in a biomedical application , 2005 .

[21]  Lauri Parkkonen,et al.  Recording epileptic activity with MEG in a light-weight magnetic shield , 2008, Epilepsy Research.