Automated localization of magnetoencephalographic interictal spikes by adaptive spatial filtering.

@article{Kirsch2006AutomatedLO,
  title={Automated localization of magnetoencephalographic interictal spikes by adaptive spatial filtering.},
  author={Heidi E. Kirsch and Stephen E. Robinson and M. W. Mantle and Srikantan S. Nagarajan},
  journal={Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology},
  year={2006},
  volume={117 10},
  pages={2264-71}
}
OBJECTIVE Automated adaptive spatial filtering techniques can be applied to magnetoencephalographic (MEG) data collected from people with epilepsy. Source waveforms estimated by these methods have higher signal-to-noise ratio (SNR) than spontaneous MEG data, allowing identification and location of interictal spikes. The software tool SAM(g(2)) provides an… CONTINUE READING