MEG-based imaging of focal neuronal current sources
- Univ. of Southern California, Los Angeles, CA (United States). Signal and Image Processing Inst.
- Los Alamos National Lab., NM (United States)
The authors describe a new approach to imaging neural current sources from measurements of the magnetoencephalogram (MEG) associated with sensory, motor, or cognitive brain activation. Many previous approaches to this problem have concentrated on the use of weighted minimum norm (WMN) inverse methods. While these methods ensure a unique solution, they do not introduce information specific to the MEG inverse problem, often producing overly smoothed solutions and exhibiting severe sensitivity to noise. The authors describe a Bayesian formulation of the inverse problem in which a Gibbs prior is constructed to reflect the sparse focal nature of neural current sources associated with evoked response data. They demonstrate the method with simulated and experimental phantom data, comparing its performance with several WMN methods.
- Sponsoring Organization:
- National Eye Inst., Bethesda, MD (United States); Los Alamos National Lab., NM (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 509264
- Journal Information:
- IEEE Transactions on Medical Imaging, Vol. 16, Issue 3; Other Information: PBD: Jun 1997
- Country of Publication:
- United States
- Language:
- English
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