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Cortical Activation Mapping of Epileptiform Activity Derived from Interictal ECoG Spikes
Author(s) -
Lai Yuan,
Van Drongelen Wim,
Hecox Kurt,
Frim David,
Kohrman Michael,
He Bin
Publication year - 2007
Publication title -
epilepsia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.687
H-Index - 191
eISSN - 1528-1167
pISSN - 0013-9580
DOI - 10.1111/j.1528-1167.2006.00936.x
Subject(s) - ictal , neuroscience , epilepsy , electroencephalography , electrocorticography , latency (audio) , psychology , medicine , computer science , telecommunications
Summary: Purpose: To develop and evaluate a new cortical activation mapping (CAM) method to obtain the neuronal activation sequences from the cortical potential distributions. Methods: Interictal electrocorticogram (ECoG) recordings were analyzed for eight pediatric epilepsy patients to find the cortical activation maps, which were compared with the patients' seizure‐onset zones identified from ictal ECoG recordings. Various relations between the local activation time and cortical potential were assumed. The most effective relation was determined by accessing their capability to predict the seizure‐onset zone. Computer simulations using a moving dipole source model were also conducted to test the present approach in imaging the propagated cortical activity. Results : In both clinical data analysis and computer simulations, the maximal amplitude proved to be the most effective criterion with which to determine the local cortical activation time. The present method successfully predicted the seizure‐onset zone in seven of eight patients by the CAM analysis of ECoG‐recorded interictal spikes (IISs). For patients with multiple seizure foci, each focus can be revealed by analyzing IISs with different spatial patterns. Conclusions : The time difference between spike peaks of the interictal events in the leading channel and other channels can be effectively defined as the local cortical activation time. The cortical activation mapping method based on this time latency can be used to predict the seizure‐onset zones, suggesting that the present CAM method is useful to assist the presurgical evaluation for the epilepsy patients.