Temporal Autocorrelation-Based Beamforming With MEG Neuroimaging Data

@inproceedings{Zhang2015TemporalAB,
  title={Temporal Autocorrelation-Based Beamforming With MEG Neuroimaging Data},
  author={Jian Zhang},
  year={2015}
}
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… CONTINUE READING