title: Improving MEG performance with additional tangential sensors.
abstract: 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.
authors: BioMag Laboratory, HUS Medical Imaging Center, Hospital District of Helsinki and Uusimaa, Helsinki FI-00029, Finland. jussi@biomag.hus.fi
authors: Jussi
authors: J
authors: Nurminen
authors: Samu
authors: S
authors: Taulu
authors: Jukka
authors: J
authors: Nenonen
authors: Liisa
authors: L
authors: Helle
authors: Juha
authors: J
authors: Simola
authors: Antti
authors: A
authors: Ahonen
mesh_terms: D000328:Adult; D000465:Algorithms; D003198:Computer Simulation; D006257:Head / Q000033:anatomy & histology; D006801:Humans; D015225:Magnetoencephalography / Q000295:instrumentation* / Q000379:methods*; D008962:Models, Theoretical; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*