Brain Focal Activation Detection with MEG Signals Using Combination Method

Magnetoencephalography (MEG) is one of newest methods for detecting brain activations. But because of illposedness of this problem many papers are proposed to solving this problem and acquiring accurate unique solution. In this paper we propose a method whose solution is less sensitive to noise, is spatially unbiased, focal and has low computational complexity. We combine the ideas of weighting, regularization to provide a combination method. Simulation studies on focal activation detection in different location and signal to noise ratio (SNR) reveal that the proposed method provides accurate and focal solution in the presence of noise. This method has superior performance compared to non-iterative methods. Its performance is similar to the iterative methods (like FOCUSS) but with lower computational load.