Literature DB >> 27696246

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

Eric Larson1, Samu Taulu2,3.   

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.

Entities:  

Keywords:  Artifact correction; Brain development; Head movement; Magnetoencephalography; Movement compensation; Signal space separation

Mesh:

Year:  2016        PMID: 27696246     DOI: 10.1007/s10548-016-0523-1

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  10 in total

1.  Inter-subject alignment of MEG datasets in a common representational space.

Authors:  Qiong Zhang; Jelmer P Borst; Robert E Kass; John R Anderson
Journal:  Hum Brain Mapp       Date:  2017-06-23       Impact factor: 5.038

Review 2.  IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG).

Authors:  Riitta Hari; Sylvain Baillet; Gareth Barnes; Richard Burgess; Nina Forss; Joachim Gross; Matti Hämäläinen; Ole Jensen; Ryusuke Kakigi; François Mauguière; Nobukatzu Nakasato; Aina Puce; Gian-Luca Romani; Alfons Schnitzler; Samu Taulu
Journal:  Clin Neurophysiol       Date:  2018-04-17       Impact factor: 3.708

Review 3.  Importance of body representations in social-cognitive development: New insights from infant brain science.

Authors:  Andrew N Meltzoff; Peter J Marshall
Journal:  Prog Brain Res       Date:  2020-08-14       Impact factor: 2.453

4.  Magnetoencephalography and the infant brain.

Authors:  Yu-Han Chen; Joni Saby; Emily Kuschner; William Gaetz; J Christopher Edgar; Timothy P L Roberts
Journal:  Neuroimage       Date:  2019-01-24       Impact factor: 6.556

5.  Infant brain imaging using magnetoencephalography: Challenges, solutions, and best practices.

Authors:  Maggie D Clarke; Alexis N Bosseler; Julia C Mizrahi; Erica R Peterson; Eric Larson; Andrew N Meltzoff; Patricia K Kuhl; Samu Taulu
Journal:  Hum Brain Mapp       Date:  2022-04-16       Impact factor: 5.399

6.  Reduced Theta Sampling in Infants at Risk for Dyslexia across the Sensitive Period of Native Phoneme Learning.

Authors:  Maria Mittag; Eric Larson; Samu Taulu; Maggie Clarke; Patricia K Kuhl
Journal:  Int J Environ Res Public Health       Date:  2022-01-21       Impact factor: 3.390

7.  Improving Localization Accuracy of Neural Sources by Pre-processing: Demonstration With Infant MEG Data.

Authors:  Maggie D Clarke; Eric Larson; Erica R Peterson; Daniel R McCloy; Alexis N Bosseler; Samu Taulu
Journal:  Front Neurol       Date:  2022-03-23       Impact factor: 4.003

8.  Functional Significance of Human Resting-State Networks Hubs Identified Using MEG During the Transition From Childhood to Adulthood.

Authors:  Sheraz Khan; Javeria Ali Hashmi; Fahimeh Mamashli; Matti S Hämäläinen; Tal Kenet
Journal:  Front Neurol       Date:  2022-06-23       Impact factor: 4.086

9.  Magnetoencephalography Hyperscanning Evidence of Differing Cognitive Strategies Due to Social Role During Auditory Communication.

Authors:  Nano Yoneta; Hayato Watanabe; Atsushi Shimojo; Kazuyoshi Takano; Takuya Saito; Kazuyori Yagyu; Hideaki Shiraishi; Koichi Yokosawa; Jared Boasen
Journal:  Front Neurosci       Date:  2022-08-02       Impact factor: 5.152

10.  Nonlinear age effects in tactile processing from early childhood to adulthood.

Authors:  Sakshi Kaur; Svenja Espenhahn; Tiffany Bell; Kate J Godfrey; Chidera Nwaroh; Adrianna Giuffre; Lauran Cole; Winnica Beltrano; Tingting Yan; Mehak Stokoe; Logan Haynes; Tasha Yuntao Hou; Mark Tommerdahl; Signe Bray; Ashley D Harris
Journal:  Brain Behav       Date:  2022-06-08       Impact factor: 3.405

  10 in total

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