Imaging of oscillatory behavior in event-related MEG studies

Dimitrios Pantazis; Darren L. Weber; Corby L. Dale; Thomas E. Nichols; Gregory V. Simpson; Richard M. Leahy

doi:10.1117/12.600607

11 March 2005 Imaging of oscillatory behavior in event-related MEG studies

Dimitrios Pantazis, Darren L. Weber, Corby L. Dale, Thomas E. Nichols, Gregory V. Simpson, Richard M. Leahy

Proceedings Volume 5674, Computational Imaging III; (2005) https://doi.org/10.1117/12.600607
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

Since event-related components in MEG (magnetoencephalography) studies are often buried in background brain activity and environmental and sensor noise, it is a standard technique for noise reduction to average over multiple stimulus-locked responses or “epochs”. However this also removes event-related changes in oscillatory activity that are not phase locked to the stimulus. To overcome this problem, we combine time-frequency analysis of individual epochs with corticallyconstrained imaging to produce dynamic images of brain activity on the cerebral cortex in multiple time-frequency bands. While the SNR in individual epochs is too low to see any but the strongest components, we average signal power across epochs to find event related components on the cerebral cortex in each frequency band. To determine which of these components are statistically significant within an individual subject, we threshold the cortical images to control for false positives. This involves testing thousands of hypotheses (one per surface element and time-frequency band) for significant experimental effects. To control the number of false positives over all tests, we must therefore apply multiplicity adjustments by controlling the familywise error rate, i.e. the probability of one or more false positive detections across the entire cortex. Applying this test to each frequency band produces a set of cortical images showing significant eventrelated activity in each band of interest. We demonstrate this method in applications to high density MEG studies of visual attention.

Citation Download Citation

Dimitrios Pantazis, Darren L. Weber, Corby L. Dale, Thomas E. Nichols, Gregory V. Simpson, and Richard M. Leahy "Imaging of oscillatory behavior in event-related MEG studies", Proc. SPIE 5674, Computational Imaging III, (11 March 2005); https://doi.org/10.1117/12.600607

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