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Measuring electrophysiological connectivity by power envelope correlation: a technical review on MEG methods
George C O'Neill1, Eleanor L Barratt, Benjamin A E Hunt
1Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
Physics in Medicine and Biology
|October 9, 2015
Summary
This study introduces power envelope correlation, a method using magnetoencephalography (MEG) to measure brain network connectivity. This technique reveals how the brain rapidly forms and dissolves transient networks for processing demands.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Neuroscience
Background:
- Brain function depends on efficient connectivity between specialized areas.
- Neuroimaging advancements enable the estimation of brain connectivity.
- Magnetoencephalography (MEG) offers high spatial and temporal resolution for brain activity imaging.
Purpose of the Study:
- To detail the methodology for measuring network connectivity using power envelope correlation with MEG.
- To provide researchers with a guide for assessing envelope-based functional brain networks.
- To explore how the brain dynamically forms and dissolves transient networks.
Main Methods:
- Projection of MEG data into source space.
- Addressing confounds from the MEG inverse problem.
- Estimation of power envelope correlation for connectivity assessment.
Main Results:
- Power envelope correlation effectively measures functional connectivity between brain regions.
- The method demonstrates the brain's ability to form and dissolve transient networks rapidly.
- This technique provides insights into neural dynamics and network coordination.
Conclusions:
- Power envelope correlation is a valuable tool for studying the human connectome in health and disease.
- The method offers novel insights into brain network coordination and rapid network dynamics.
- Envelope-based functional networks represent intrinsic coupling modes within the human brain.
