Computational Modelling Group

Seminar  28th January 2016 2:30 p.m.  54/5027

S3RI seminar: Beamforming Pursuit with MEG Neuroimaging Data

Jian Zhang
University of Kent

Categories
Bioinformatics, Inverse problems, Machine learning, Medical Imaging
Submitter
Dave Woods

Characterizing the brain source activity using Magnetoencephalography (MEG) requires solving an ill-posed inverse problem. Most source reconstruction procedures are performed in terms of power comparison. However, in the presence of voxel-specific noises, the direct power analysis can be misleading due to the power distortion as suggested by our multiple trial MEG study on a face-perception experiment. To tackle the issue, we propose a new approach. The new method improves the face-perception analysis and identifies several differences between neuronal responses to face and scrambled-face stimuli.