New Methodology for the Analysis and Representation of Human Brain Function: MEGMRIAn
Ustinin M.N., Sychev V.V., Walton K.D., Llinas R.R.
Institute of Mathematical Problems of Biology RAS, Pushchino, 142290, Russian Federation
New York University, NY, 10016, USA
Pushchino State Institute of Natural Sciences, Pushchino, 142290, Russian Federation
Abstract. The present software was developed to implement a highly spatiotemporal resolved functional tomography (1mm/1msec), capable of addressing spontaneous and evoked activity at any point in the human brain. Presently the methodology is implemented for the magnetic encephalography data. Data analysis results are embedded into a magnetic resonance image of the head. This image is also used as the head model to calculate the magnetic fields of the equivalent current dipoles, while probe positions correspond to real device coordinates. This methodology allows the superposition of the functional frequency patterns to be represented together with magnetic resonance images. The software computational speed makes it possible to implement the whole data acquisition and imaging cycle fast enough to allow optimal protocol choice in data processing.
Key words: magnetic encephalography, spontaneous and evoked brain activity, inverse problem solution, spectral analysis, functional tomography.