Reconstructing spatio-temporal activities of neural sources from magnetoencephalographic data using a vector beamformer

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 3, Issue , 2001, Pages 2021-2024

  Sekihara, K ^a   Nagarajan, S ^a   Poeppel, D ^a   Miyashita, Y ^a  

^a JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE RECONSTRUCTION; MAGNETOENCEPHALOGRAPHY; MATRIX ALGEBRA; NEUROLOGY; NUMERICAL METHODS; VECTORS;

BORGIOTTI-KAPLAN BEAMFORMER; SPATIO TEMPORAL ACTIVITY; VECTOR BEAMFORMER;

MEDICAL IMAGING;

EID: 0034855031     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain
2. Beamforming: A versatile approach to spatial filtering
3. Adaptive filters for monitoring localized brain activity from surface potential time series
4. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering
5. Functional neuroimaging by synthetic aperture magnetometry (SAM)
6. Superresolution of uncorrelated interference sources by using adaptive array technique
7. A constrained projection approach for robust adaptive beamforming
8. Generalized eigenspace-based beamformers
9. Noise covariance incorporated MEG-MUSIC algorithm: A method for multiple-dipole estimation tolerant of the influence of background brain activity