Analysis of EEG–fMRI data in focal epilepsy based on automated spike classification and Signal Space Projection

@article{Liston2006AnalysisOE,
  title={Analysis of EEG–fMRI data in focal epilepsy based on automated spike classification and Signal Space Projection},
  author={Adam D. Liston and Jan C. de Munck and Khalid Hamandi and Helmut Laufs and Pauly P. W. Ossenblok and John S. Duncan and Louis Lemieux},
  journal={NeuroImage},
  year={2006},
  volume={31},
  pages={1015-1024}
}

Localizing Epileptic Foci Using Simultaneous EEG-fMRI Recording: Template Component Cross-Correlation

The proposed method goes beyond the conventional methods by breaking the dependency on spikes and using the outside-the-scanner spike templates and the selected components, achieving an accuracy of 97%.

EEG–fMRI in Adults with Focal Epilepsy

EEG–fMRI is free of critical assumptions and may therefore give a more accurate indication of the source or sources of IEDs, which may reflect propagated activity rather than the source.

The combination of EEG Source Imaging and EEG‐correlated functional MRI to map epileptic networks

A description of the neurophysiologic mechanisms that give rise to the measured signals is described, followed by validation studies based on comparison with intracranial EEG and surgical outcome, and analysis strategies to combine both techniques are discussed.
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