Skip to main content
Top
Published in: Brain Topography 2/2017

01-03-2017 | Original Paper

The Importance of Properly Compensating for Head Movements During MEG Acquisition Across Different Age Groups

Authors: Eric Larson, Samu Taulu

Published in: Brain Topography | Issue 2/2017

Login to get access

Abstract

Unlike EEG sensors, which are attached to the head, MEG sensors are located outside the head surface on a fixed external device. Subject head movements during acquisition thus distort the magnetic field distributions measured by the sensors. Previous studies have looked at the effect of head movements, but no study has comprehensively looked at the effect of head movements across age groups, particularly in infants. Using MEG recordings from subjects ranging in age from 3 months through adults, here we first quantify the variability in head position as a function of age group. We then combine these measured head movements with brain activity simulations to determine how head movements bias source localization from sensor magnetic fields measured during movement. We find that large amounts of head movement, especially common in infant age groups, can result in large localization errors. We then show that proper application of head movement compensation techniques can restore localization accuracy to pre-movement levels. We also find that proper noise covariance estimation (e.g., during the baseline period) is important to minimize localization bias following head movement compensation. Our findings suggest that head position measurement during acquisition and compensation during analysis is recommended for researchers working with subject populations or age groups that could have substantial head movements. This is especially important in infant MEG studies.
Literature
go back to reference Ahlfors S, Ilmoniemi R (1989) Magnetometer position indicator for multichannel MEG. In: Williamson SJ, Hoke M, Stroink G, Kotani M (eds) Advances in biomagnetism. Springer, Berlin, pp 693–696CrossRef Ahlfors S, Ilmoniemi R (1989) Magnetometer position indicator for multichannel MEG. In: Williamson SJ, Hoke M, Stroink G, Kotani M (eds) Advances in biomagnetism. Springer, Berlin, pp 693–696CrossRef
go back to reference Bosseler A, Taulu S, Pihko E, Mäkelä J, Imada T, Ahonen A, Kuhl P (2013) Theta brain rhythms index perceptual narrowing in infant speech perception. Audit Cogn Neurosci 4:690. doi:10.3389/fpsyg.2013.00690 Bosseler A, Taulu S, Pihko E, Mäkelä J, Imada T, Ahonen A, Kuhl P (2013) Theta brain rhythms index perceptual narrowing in infant speech perception. Audit Cogn Neurosci 4:690. doi:10.​3389/​fpsyg.​2013.​00690
go back to reference Chen Y, Medioni G (1991) Object modeling by registration of multiple range images. In: 1991 IEEE international conference on robotics and automation, 1991. Proceedings, vol 3., pp 2724–9. doi:10.1109/ROBOT.1991.132043 Chen Y, Medioni G (1991) Object modeling by registration of multiple range images. In: 1991 IEEE international conference on robotics and automation, 1991. Proceedings, vol 3., pp 2724–9. doi:10.​1109/​ROBOT.​1991.​132043
go back to reference Cheour M, Imada T, Taulu S, Ahonen A, Salonen J, Kuhl P (2004) Magnetoencephalography is feasible for infant assessment of auditory discrimination. Exp Neurol Neuroimaging Funct Dev Fetuses Newborns 190(Suppl 1):44–51. doi:10.1016/j.expneurol.2004.06.030 Cheour M, Imada T, Taulu S, Ahonen A, Salonen J, Kuhl P (2004) Magnetoencephalography is feasible for infant assessment of auditory discrimination. Exp Neurol Neuroimaging Funct Dev Fetuses Newborns 190(Suppl 1):44–51. doi:10.​1016/​j.​expneurol.​2004.​06.​030
go back to reference Gramfort A, Luessi M, Larson E, Engemann D, Strohmeier D, Brodbeck C, Goj R et al (2013) MEG and EEG data analysis with MNE-python. Front Brain Imaging Methods 7:267. doi:10.3389/fnins.2013.00267 Gramfort A, Luessi M, Larson E, Engemann D, Strohmeier D, Brodbeck C, Goj R et al (2013) MEG and EEG data analysis with MNE-python. Front Brain Imaging Methods 7:267. doi:10.​3389/​fnins.​2013.​00267
go back to reference Hämäläinen M, Hari R, Ilmoniemi R, Knuutila J, Lounasmaa O (1993) Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain. Rev Mod Phys 65(2):413–497CrossRef Hämäläinen M, Hari R, Ilmoniemi R, Knuutila J, Lounasmaa O (1993) Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain. Rev Mod Phys 65(2):413–497CrossRef
go back to reference Knappe S, Tilmann S, Trahms L (2014) Optically-pumped magnetometers for MEG. In: Supek S, Aine CJ (eds) Magnetoencephalography. Springer, Berlin, pp 993–999 Knappe S, Tilmann S, Trahms L (2014) Optically-pumped magnetometers for MEG. In: Supek S, Aine CJ (eds) Magnetoencephalography. Springer, Berlin, pp 993–999
go back to reference Knösche T (2002) Transformation of whole-head MEG recordings between different sensor positions. Biomed Tech (Berl) 47(3):59–62CrossRef Knösche T (2002) Transformation of whole-head MEG recordings between different sensor positions. Biomed Tech (Berl) 47(3):59–62CrossRef
go back to reference Medvedovsky M, Taulu S, Bikmullina R, Paetau R (2007) Artifact and head movement compensation in MEG. Neurol Neurophysiol Neurosci 4:1–10 Medvedovsky M, Taulu S, Bikmullina R, Paetau R (2007) Artifact and head movement compensation in MEG. Neurol Neurophysiol Neurosci 4:1–10
go back to reference Nenonen J, Nurminen J, Kičić D, Bikmullina R, Lioumis P, Jousmäki V, Taulu S, Parkkonen L, Putaala M, Kähkönen S (2012) Validation of head movement correction and spatiotemporal signal space separation in magnetoencephalography. Clin Neurophysiol 123(11):2180–2191. doi:10.1016/j.clinph.2012.03.080 CrossRefPubMed Nenonen J, Nurminen J, Kičić D, Bikmullina R, Lioumis P, Jousmäki V, Taulu S, Parkkonen L, Putaala M, Kähkönen S (2012) Validation of head movement correction and spatiotemporal signal space separation in magnetoencephalography. Clin Neurophysiol 123(11):2180–2191. doi:10.​1016/​j.​clinph.​2012.​03.​080 CrossRefPubMed
go back to reference Okada Y, Pratt K, Atwood C, Mascarenas A, Reineman R, Nurminen J, Paulson D (2006) BabySQUID: a mobile, high-resolution multichannel magnetoencephalography system for neonatal brain assessment. Rev Sci Instrum 77(2):024301. doi:10.1063/1.2168672 CrossRef Okada Y, Pratt K, Atwood C, Mascarenas A, Reineman R, Nurminen J, Paulson D (2006) BabySQUID: a mobile, high-resolution multichannel magnetoencephalography system for neonatal brain assessment. Rev Sci Instrum 77(2):024301. doi:10.​1063/​1.​2168672 CrossRef
go back to reference Roberts T, Paulson D, Hirschkoff E, Pratt K, Mascarenas A, Miller P, Han M et al (2014) Artemis 123: development of a whole-head infant and young child MEG system. Front Hum Neurosci. doi:10.3389/fnhum.2014.00099 Roberts T, Paulson D, Hirschkoff E, Pratt K, Mascarenas A, Miller P, Han M et al (2014) Artemis 123: development of a whole-head infant and young child MEG system. Front Hum Neurosci. doi:10.​3389/​fnhum.​2014.​00099
go back to reference Taulu S, Kajola M (2005) Presentation of electromagnetic multichannel data: the signal space separation method. J Appl Phys 97(12):124905–5–10. doi:10.1063/1.1935742 Taulu S, Kajola M (2005) Presentation of electromagnetic multichannel data: the signal space separation method. J Appl Phys 97(12):124905–5–10. doi:10.​1063/​1.​1935742
go back to reference Taulu S, Simola J, Kajola M (2005) Applications of the signal space separation method. IEEE Trans Signal Process 53(9):3359CrossRef Taulu S, Simola J, Kajola M (2005) Applications of the signal space separation method. IEEE Trans Signal Process 53(9):3359CrossRef
go back to reference Wilson H (2004) Continuous head-localization and data correction in a whole-cortex MEG sensor. Neurol Clin Neurophysiol 2004:56PubMed Wilson H (2004) Continuous head-localization and data correction in a whole-cortex MEG sensor. Neurol Clin Neurophysiol 2004:56PubMed
Metadata
Title
The Importance of Properly Compensating for Head Movements During MEG Acquisition Across Different Age Groups
Authors
Eric Larson
Samu Taulu
Publication date
01-03-2017
Publisher
Springer US
Published in
Brain Topography / Issue 2/2017
Print ISSN: 0896-0267
Electronic ISSN: 1573-6792
DOI
https://doi.org/10.1007/s10548-016-0523-1

Other articles of this Issue 2/2017

Brain Topography 2/2017 Go to the issue