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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Measuring functional connectivity using MEG: methodology and comparison with fcMRI.

Matthew J Brookes1, Joanne R Hale, Johanna M Zumer

  • 1Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK. matthew.brookes@nottingham.ac.uk

Neuroimage
|March 1, 2011
PubMed
Summary

This study shows that combining functional connectivity MRI (fcMRI) and magnetoencephalography (MEG) improves brain connectivity measurements. Integrating these methods confirms the neural basis of fcMRI and reveals insights into electrodynamic connectivity.

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Area of Science:

  • Neuroimaging
  • Systems Neuroscience
  • Computational Neuroscience

Background:

  • Functional connectivity (FC) is crucial for brain information processing, with abnormalities linked to diseases.
  • Functional connectivity MRI (fcMRI) is a popular tool for measuring FC but is limited by its indirect nature.
  • A multimodal approach combining fcMRI with electrophysiology is attractive for investigating the neural basis of hemodynamic connectivity.

Purpose of the Study:

  • To investigate resting-state functional connectivity (FC) using both fcMRI and magnetoencephalography (MEG).
  • To assess the agreement between FC measurements from fcMRI and MEG.
  • To explore how electrophysiological data from MEG can inform and enhance fcMRI findings.

Main Methods:

  • Utilized ultra-high magnetic field fcMRI for connectivity measurements.
  • Applied envelope correlation and coherence techniques to source-space projected MEG signals.
  • Employed beamforming for FC measurement in MEG source space, addressing potential crosstalk artifacts.

Main Results:

  • Demonstrated good spatial agreement between FC measured independently using MEG and fcMRI.
  • Observed FC between sensorimotor cortices in both modalities, with optimal agreement when MEG data were filtered into the beta band.
  • Showcased that multiple MEG-based FC metrics offer potential to investigate electrodynamic connectivity beyond fcMRI capabilities.

Conclusions:

  • Combining fcMRI and MEG reduces confounds associated with each modality alone, confirming the neural basis of fcMRI.
  • MEG data, particularly in the beta band, enhances spatial accuracy and provides electrodynamic insights into functional brain networks.
  • Results support the intimate relationship between neural oscillations, functional connectivity, and the BOLD response, advancing our understanding of brain function.