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.