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This project has two aims:
We will use the wavelet-based beamformer to localize magnetic sources volumetrically. If successful, the frequency signatures of magnetoencephalography (MEG) data will be new biomarkers for language impairments in childhood epilepsy.
The detection of HFBS, in addition to the conventional low-frequency signals, opens a new window for analyses of language function in normal and abnormal conditions. The frequency profile of language activation lays a foundation for better mapping language areas.
Children with intractable epilepsy who are surgical candidates will benefit from the results of our research. The results may facilitate the development of advanced neuroimaging, which includes temporal, frequency and 3-D spatial information.
Funded by a grant from NIH / NICHD R01- HD38578 (ARRA supplement).
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Magnetic sources estimated for the second (M2) and third (M3) responses overlapped on three-dimensional MR images from a representative subject. M2 is in the left posterior temporal area; M3 is in the left inferior frontal area. Both nouns and verbs induce similar activation pattern. There is no consistent difference between nouns and verbs in terms of the location of M2 and M3. The color bar on the right shows the strength of the activation.
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