Standardized shrinking LORETA-FOCUSS (SSLOFO): a new algorithm for spatio-temporal EEG source reconstruction

@article{Liu2005StandardizedSL,
  title={Standardized shrinking LORETA-FOCUSS (SSLOFO): a new algorithm for spatio-temporal EEG source reconstruction},
  author={Hesheng Liu and Paul H. Schimpf and Guoya Dong and Xiaorong Gao and Fusheng Yang and Shangkai Gao},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2005},
  volume={52},
  pages={1681-1691}
}
This paper presents a new algorithm called Standardized Shrinking LORETA-FOCUSS (SSLOFO) for solving the electroencephalogram (EEG) inverse problem. Multiple techniques are combined in a single procedure to robustly reconstruct the underlying source distribution with high spatial resolution. This algorithm uses a recursive process which takes the smooth estimate of sLORETA as initialization and then employs the re-weighted minimum norm introduced by FOCUSS. An important technique called… CONTINUE READING
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