Sep 19, 2016

Measurement of dynamic task related functional networks using MEG

NeuroImage
George C O'NeillMatthew J Brookes

Abstract

The characterisation of dynamic electrophysiological brain networks, which form and dissolve in order to support ongoing cognitive function, is one of the most important goals in neuroscience. Here, we introduce a method for measuring such networks in the human brain using magnetoencephalography (MEG). Previous network analyses look for brain regions that share a common temporal profile of activity. Here distinctly, we exploit the high spatio-temporal resolution of MEG to measure the temporal evolution of connectivity between pairs of parcellated brain regions. We then use an ICA based procedure to identify networks of connections whose temporal dynamics covary. We validate our method using MEG data recorded during a finger movement task, identifying a transient network of connections linking somatosensory and primary motor regions, which modulates during the task. Next, we use our method to image the networks which support cognition during a Sternberg working memory task. We generate a novel neuroscientific picture of cognitive processing, showing the formation and dissolution of multiple networks which relate to semantic processing, pattern recognition and language as well as vision and movement. Our method tracks the dynamic...Continue Reading

Mentioned in this Paper

Immediate Recall
Somatosensory Disorders
Vision
Brain
Magnetoencephalography
Optical Image Reconstruction
Pattern Recognition
Neural Pathways
Signal Processing, Digital
Functional Cerebral Localization

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