Title :
Spatio-temporal Source Localization and Granger Causality in Ictal Source Analysis
Author :
Ding, L. ; Worrell, G.A. ; Lagerlund, T.D. ; He, B.
Author_Institution :
Minnesota Univ.
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
We have proposed a new ictal source analysis approach by combining a spatio-temporal source localization approach, and causal interaction estimation technique. The FINE approach is used to identify neural electrical sources from spatio-temporal scalp-EEGs. The Granger causality estimation uses source waveforms estimated by FINE to characterize the causal interaction between the neural electrical sources in order to distinguish primary sources, which initiate ictal events, from secondary sources, which are caused by propagation. In the present study, we applied the proposed analysis approach to an epilepsy patient with symptomatic MRI lesions. It is found that the primary ictal source is within the visible lesion, which gave the consistent presurgical evaluation as MRI for this patient
Keywords :
bioelectric phenomena; biomedical MRI; diseases; electroencephalography; medical signal processing; neurophysiology; spatiotemporal phenomena; statistical analysis; FINE algorithm; bivariate Granger causality estimation; epilepsy patient; ictal source analysis; neural electrical sources; presurgical evaluation; scalp EEG; source waveforms; spatio-temporal source localization; symptomatic MRI lesions; Amplitude estimation; Cities and towns; Electroencephalography; Epilepsy; Lesions; Magnetic resonance imaging; Noise measurement; Position measurement; Scalp; USA Councils; EEG; FINE; Granger causality; spatio-temporal source localization; subspace;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259393