• Jing Xiang, Abraham Korman, Kasun M Samarasinghe, Xiaopei Wang, Fawen Zhang, Hui Qiao, Bo Sun, Fengbin Wang, Howard H Fan, and Elizabeth A Thompson.
• MEG Center, Department of Neurology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, USA. Electronic address: Jing.xiang@cchmc.org.
• J. Neurosci. Methods. 2015 Jan 15; 239: 114-28.

BackgroundThe brain generates signals in a wide frequency range (∼2840 Hz). Existing magnetoencephalography (MEG) methods typically detect brain activity in a median-frequency range (1-70 Hz). The objective of the present study was to develop a new method to utilize the frequency signatures for source imaging.New MethodMorlet wavelet transform and two-step beamforming were integrated into a systematic approach to estimate magnetic sources in time-frequency domains. A grid-frequency kernel (GFK) was developed to decode the correlation between each time-frequency representation and grid voxel. Brain activity was reconstructed by accumulating spatial- and frequency-locked signals in the full spectral data for all grid voxels. To test the new method, MEG data were recorded from 20 healthy subjects and 3 patients with verified epileptic foci.ResultsThe experimental results showed that the new method could accurately localize brain activation in auditory cortices. The epileptic foci localized with the new method were spatially concordant with invasive recordings.Comparison With Existing MethodsCompared with well-known existing methods, the new method is objective because it scans the entire brain without making any assumption about the number of sources. The novel feature of the new method is its ability to localize high-frequency sources.ConclusionsThe new method could accurately localize both low- and high-frequency brain activities. The detection of high-frequency MEG signals can open a new avenue in the study of the human brain function as well as a variety of brain disorders.Copyright © 2014 Elsevier B.V. All rights reserved.

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