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3D source localization derived from subdural strip and grid electrodes: A simulation study

3D source localization derived from subdural strip and grid electrodes: A simulation study

Authors: 
Duempelmann M., Fell J., Wellmer J., Urbach H. & Elger C.E.
Year: 
2009
Journal: 
Clinical Neurophysiology
Abstract: 

Little experience exists in the application of source reconstruction methods to recordings from subduralstrip and grid electrodes. This study addressed the question, whether reliable and accurate 3Dsourcelocalization is possible from the Electrocorticogram (ECoG).

Methods

The accuracy of source reconstruction was investigated by simulations and a case study. Simulated sources were used to compute potentials at the electrode positions derived from the MRI of a patient with subdural electrodes. Used procedures were the linear estimation (minimum norm) algorithm and the MUSIC (MUltiple SIgnal Classification) scan.

Results

Maxima of linear estimation were attracted to adjacent electrodes. Reliable localization with alocalization error ⩽15 mm was only achieved for about 35% of the original source positions. Maxima of the MUSIC metric were identical to original positions for simulations without noise. Noise reduced the percentage of reliable solutions down to a 79.0%. Electrode contacts distant to the source had small influence on localization accuracy. The case study supported simulation results.

Conclusion

Reliable source reconstruction derived from ECoG can be achieved by the application of the MUSIC algorithm. Linear estimation needs additional compensation mechanisms.

Significance

MUSIC based 3Dlocalization based on ECoG has the potential improving epilepsy diagnosis and cognitive research.

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