Feasibility of clinical Magnetoencephalography (MEG) functional mapping in the presence of dental artefacts

OBJECTIVE To evaluate the viability of MEG source reconstruction in the presence of large interference due to orthodontic material. METHODS We recorded the magnetic fields following a simple hand movement and following electrical stimulation of the median nerve (somatosensory evoked field -SEF). These two tasks were performed twice, once with and once without artificial dental artefacts. Temporal Signal Space Separation (tSSS) was applied to spatially filter the data and source reconstruction was performed according to standard procedures for pre-surgical mapping of eloquent cortex, applying dipole fitting to the SEF data and beamforming to the hand movement data. RESULTS Comparing the data with braces to the data without braces, the observed distances between the activations following hand movement in the two conditions were on average 6.4 and 4.5 mm for the left and right hand, respectively, whereas the dipole localisation errors for the SEF were 4.1 and 5.4 mm, respectively. Without tSSS it was generally not possible to obtain reliable dipole fit or beamforming results when wearing braces. CONCLUSION We confirm that tSSS is a required and effective pre-processing step for data recorded with the Elekta-MEG system. Moreover, we have shown that even the presence of large interference from orthodontic material does not significantly alter the results from dipole localisation or beamformer analysis, provided the data are spatially filtered by tSSS. SIGNIFICANCE State-of-the-art signal processing techniques enable the use of MEG for pre-surgical evaluation in a much larger clinical population than previously thought possible.

[1]  N B Pitts,et al.  The orthodontic condition of children in the United Kingdom, 2003 , 2006, British Dental Journal.

[2]  Robinson Se,et al.  Localization of event-related activity by SAM(erf). , 2004 .

[3]  W. Penfield,et al.  SOMATIC MOTOR AND SENSORY REPRESENTATION IN THE CEREBRAL CORTEX OF MAN AS STUDIED BY ELECTRICAL STIMULATION , 1937 .

[4]  Gareth R. Barnes,et al.  The use of anatomical constraints with MEG beamformers , 2003, NeuroImage.

[5]  Gareth R. Barnes,et al.  Dissociating the spatio-temporal characteristics of cortical neuronal activity associated with human volitional swallowing in the healthy adult brain , 2004, NeuroImage.

[6]  G. R. Barnes,et al.  Elsevier Editorial System(tm) for Journal of Neuroscience Methods Manuscript Draft Manuscript Number: JNEUMETH-D-07-00538R1 Title: Effective electromagnetic noise cancellation with beamformers and synthetic gradiometry in shielded and partly-shielded environments , 2008 .

[7]  S E Robinson,et al.  Localization of event-related activity by SAM(erf). , 2004, Neurology & clinical neurophysiology : NCN.

[8]  Jukka Nenonen,et al.  Signal Space Separation Beamformer , 2009, Brain Topography.

[9]  Krish D. Singh,et al.  A new approach to neuroimaging with magnetoencephalography , 2005, Human brain mapping.

[10]  Naoaki Tanaka,et al.  Clinical applications of magnetoencephalography , 2009, Human brain mapping.

[11]  Pauly P. W. Ossenblok,et al.  A semi-automatic method to determine electrode positions and labels from gel artifacts in EEG/fMRI-studies , 2012, NeuroImage.

[12]  Y Suzuki,et al.  Precentral Knob Corresponds to the Primary Motor and Premotor Area , 2009, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

[13]  Mitchel S Berger,et al.  Preoperative localization of hand motor cortex by adaptive spatial filtering of magnetoencephalography data. , 2008, Journal of neurosurgery.

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

[15]  J. Vrba,et al.  Signal processing in magnetoencephalography. , 2001, Methods.

[16]  Samu Taulu,et al.  Fine tuning the correlation limit of spatio-temporal signal space separation for magnetoencephalography , 2009, Journal of Neuroscience Methods.

[17]  S. Taulu,et al.  The Signal Space Separation method , 2004, physics/0401166.

[18]  S. Supek,et al.  Simulation studies of multiple dipole neuromagnetic source localization: model order and limits of source resolution , 1993, IEEE Transactions on Biomedical Engineering.

[19]  Monica Fabiani,et al.  Validation of a method for coregistering scalp recording locations with 3D structural MR images , 2008, Human brain mapping.

[20]  Antti Korvenoja,et al.  Sensorimotor cortex localization: comparison of magnetoencephalography, functional MR imaging, and intraoperative cortical mapping. , 2006, Radiology.

[21]  Cornelis J Stam,et al.  Topographical Organization of Mu and Beta Band Activity Associated with Hand and Foot Movements in Patients with Perirolandic Lesions , 2010, The open neuroimaging journal.

[22]  G. R. Barnes,et al.  A Quantitative Assessment of the Sensitivity of Whole-Head MEG to Activity in the Adult Human Cortex , 2002, NeuroImage.

[23]  M. Lassonde,et al.  Language tasks used for the presurgical assessment of epileptic patients with MEG , 2010, Epileptic disorders : international epilepsy journal with videotape.

[24]  Elizabeth W. Pang,et al.  Event-related beamforming: A robust method for presurgical functional mapping using MEG , 2007, Clinical Neurophysiology.

[25]  Ahonen Antti Signal space separation beamformer , 2010 .

[26]  L. Rozhkov,et al.  Multimodality imaging in the surgical treatment of children with nonlesional epilepsy , 2011, Neurology.

[27]  Se Robinson,et al.  Functional neuroimaging by Synthetic Aperture Magnetometry (SAM) , 1999 .

[28]  J. Vrba Magnetoencephalography: the art of finding a needle in a haystack , 2002 .

[29]  William Gaetz,et al.  PRESURGICAL LOCALIZATION OF PRIMARY MOTOR CORTEX IN PEDIATRIC PATIENTS WITH BRAIN LESIONS BY THE USE OF SPATIALLY FILTERED MAGNETOENCEPHALOGRAPHY , 2009, Neurosurgery.

[30]  Arjan Hillebrand,et al.  Beamformer analysis of MEG data. , 2005, International review of neurobiology.

[31]  Eero Salli,et al.  Combined use of non-invasive techniques for improved functional localization for a selected group of epilepsy surgery candidates , 2009, NeuroImage.

[32]  N. Barbaro,et al.  Correlation of functional magnetic source imaging with intraoperative cortical stimulation in neurosurgical patients. , 1995, Journal of image guided surgery.

[33]  Leena Lauronen,et al.  Spatial dynamics of population activities at S1 after median and ulnar nerve stimulation revisited: An MEG study , 2006, NeuroImage.

[34]  Riitta Hari,et al.  Removal of magnetoencephalographic artifacts with temporal signal‐space separation: Demonstration with single‐trial auditory‐evoked responses , 2009, Human brain mapping.