Advances in electromagnetic brain imaging

Srikantan S. Nagarajan

doi:10.1117/12.849117

17 February 2010 Advances in electromagnetic brain imaging

Srikantan S. Nagarajan

Proceedings Volume 7527, Human Vision and Electronic Imaging XV; 752709 (2010) https://doi.org/10.1117/12.849117
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

Non-invasive and dynamic imaging of brain activity in the sub-millisecond time-scale is enabled by measurements on or near the scalp surface using an array of sensors that measure magnetic fields (magnetoencephalography (MEG)) or electric potentials (electroencephalography (EEG)). Algorithmic reconstruction of brain activity from MEG and EEG data is referred to as electromagnetic brain imaging (EBI). Reconstructing the actual brain response to external events and distinguishing unrelated brain activity has been a challenge for many existing algorithms in this field. Furthermore, even under conditions where there is very little interference, accurately determining the spatial locations and timing of brain sources from MEG and EEG data is challenging problem because it involves solving for unknown brain activity across thousands of voxels from just a few sensors (~300). In recent years, my research group has developed a suite of novel and powerful algorithms for EBI that we have shown to be considerably superior to existing benchmark algorithms. Specifically, these algorithms can solve for many brain sources, including sources located far from the sensors, in the presence of large interference from unrelated brain sources. Our algorithms efficiently model interference contributions to sensors, accurately estimate sparse brain source activity using fast and robust probabilistic inference techniques. Here, we review some of these algorithms and illustrate their performance in simulations and real MEG/EEG data.

Citation Download Citation

Srikantan S. Nagarajan "Advances in electromagnetic brain imaging", Proc. SPIE 7527, Human Vision and Electronic Imaging XV, 752709 (17 February 2010); https://doi.org/10.1117/12.849117

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