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All Outputs (22)

Optimising experimental design for MEG resting state functional connectivity measurement (2016)
Journal Article
Liuzzi, L., Gascoyne, L. E., Tewarie, P. K., Barratt, E. L., Boto, E., & Brookes, M. J. (2017). Optimising experimental design for MEG resting state functional connectivity measurement. NeuroImage, 155, 565-576. https://doi.org/10.1016/j.neuroimage.2016.11.064

The study of functional connectivity using magnetoencephalography (MEG) is an expanding area of neuroimaging, and adds an extra dimension to the more common assessments made using fMRI. The importance of such metrics is growing, with recent demonstra... Read More about Optimising experimental design for MEG resting state functional connectivity measurement.

On the potential of a new generation of magnetometers for MEG: a beamformer simulation study (2016)
Journal Article
Boto, E., Bowtell, R. W., Kruger, P., Fromhold, T. M., Morris, P. G., Meyer, S. S., …Brookes, M. J. (2016). On the potential of a new generation of magnetometers for MEG: a beamformer simulation study. PLoS ONE, 11(8), Article e0157655. https://doi.org/10.1371/journal.pone.0157655

Magnetoencephalography (MEG) is a sophisticated tool which yields rich information on the spatial, spectral and temporal signatures of human brain function. Despite unique potential, MEG is limited by a low signal-to-noise ratio (SNR) which is caused... Read More about On the potential of a new generation of magnetometers for MEG: a beamformer simulation study.