Using variance information in magnetoencephalography measures of functional connectivity.

Journal article

The use of magnetoencephalography (MEG) to assess long range functional connectivity across large scale distributed brain networks is gaining popularity. Recent work has shown that electrodynamic networks can be assessed using both seed based correlation or independent component analysis (ICA) applied to MEG data and further that such metrics agree with fMRI studies. To date, techniques for MEG connectivity assessment have typically used a variance normalised approach, either through the use ...

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Authors: Hall, E; Woolrich, M; Thomaz, C; Morris, P; Brookes, M

• Publication status: Published
• Journal: NeuroImage
• Volume: 67
• Pages: 203-212
• Publication date: 2013-02-01
• DOI: 10.1016/j.neuroimage.2012.11.011
• EISSN: 1095-9572
• ISSN: 1053-8119
• Language: English
• Keywords: Brain Mapping; Algorithms; Magnetoencephalography; Connectome; Analysis of Variance; Memory; Principal Component Analysis; Nerve Net; Brain; Humans