Abstract
Introduction: Studies using functional connectivity and network analyses based on magnetoencephalography (MEG) with source localization are rapidly emerging in neuroscientific literature. However, these analyses currently depend on the availability of costly and sometimes burdensome individual MR scans for co-registration. We evaluated the consistency of these measures when using a template MRI, instead of native MRI, for the analysis of functional connectivity and network topology. Methods: Seventeen healthy participants underwent resting-state eyes-closed MEG and anatomical MRI. These data were projected into source space using an atlas-based peak voxel and a centroid beamforming approach either using (1) participants’ native MRIs or (2) the Montreal Neurological Institute's template. For both methods, time series were reconstructed from 78 cortical atlas regions. Relative power was determined in six classical frequency bands per region and globally averaged. Functional connectivity (phase lag index) between each pair of regions was calculated. The adjacency matrices were then used to reconstruct functional networks, of which regional and global metrics were determined. Intraclass correlation coefficients were calculated and Bland–Altman plots were made to quantify the consistency and potential bias of the use of template versus native MRI. Results: Co-registration with the template yielded largely consistent relative power, connectivity, and network estimates compared to native MRI. Discussion: These findings indicate that there is no (systematic) bias or inconsistency between template and native MRI co-registration of MEG. They open up possibilities for retrospective and prospective analyses to MEG datasets in the general population that have no native MRIs available. Hum Brain Mapp, 2017.
Original language | English |
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Pages (from-to) | 104-119 |
Number of pages | 16 |
Journal | Human Brain Mapping |
Volume | 39 |
Issue number | 1 |
Early online date | 8 Oct 2017 |
DOIs | |
Publication status | Published - Jan 2018 |
Funding
Additional Supporting Information may be found in the online version of this article. Contract grant sponsor: Dutch MS Research Foundation; Contract grant number: 08-650; 09-358d Linda Douw and Dagmar Nieboer contributed equally to this article. *Correspondence to: Dagmar Nieboer; Department of Methodology and Applied Biostatistics, Faculty of Science, VU University Amsterdam, Amsterdam, The Netherlands. E-mail: [email protected] Received for publication 17 January 2017; Revised 21 August 2017; Accepted 15 September 2017. DOI: 10.1002/hbm.23827 Published online 8 October 2017 in Wiley Online Library (wileyonlinelibrary.com).
Keywords
- beamforming
- co-registration
- consistency
- functional connectivity
- magnetoencephalography
- MNI template
- MRI
- network analyses