A reliable and time-saving semiautomatic spike-template-based analysis of interictal EEG-fMRI
| Autor: | Wim Van Paesschen, Patrick Dupont, Karolien Goffin, David Robben, Stefan Sunaert, Simon Tousseyn |
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| Rok vydání: | 2014 |
| Předmět: |
Adult
Male Signal Detection Psychological Adolescent Computer science Electroencephalography Statistical parametric mapping EEG-fMRI Sensitivity and Specificity Young Adult medicine Image Processing Computer-Assisted Humans Ictal Epilepsy surgery Brain Mapping Epilepsy medicine.diagnostic_test Receiver operating characteristic business.industry Brain Pattern recognition Middle Aged Magnetic Resonance Imaging Oxygen Neurology ROC Curve Spike (software development) Female Neurology (clinical) Artificial intelligence business Functional magnetic resonance imaging |
| Zdroj: | Epilepsia. 55(12) |
| ISSN: | 1528-1167 |
| Popis: | Summary Objective A prerequisite for the implementation of interictal electroencephalography–correlated functional magnetic resonance imaging (EEG-fMRI) in the presurgical work-up for epilepsy surgery is straightforward processing. We propose a new semi-automatic method as alternative for the challenging and time-consuming visual spike identification. Methods Our method starts from a patient-specific spike-template, built by averaging spikes recorded on the EEG outside the scanner. Spatiotemporal cross-correlations between the template and the EEG measured during fMRI were calculated. To minimize false-positive detections, this time course of cross-correlations was binarized by means of a spike-template–specific threshold determined in healthy controls. To inform our model for statistical parametric mapping, this binarized regressor was convolved with the canonical hemodynamic response function. We validated our “template-based” method in 21 adult patients with refractory focal epilepsy with a well-defined epileptogenic zone and interictal spikes during EEG-fMRI. Sensitivity and specificity for detecting the epileptogenic zone were calculated and represented in receiver operating characteristic (ROC) curves. Our approach was compared with a previously proposed semiautomatic “topography-based” method that used the topographic amplitude distribution of spikes as a starting point for correlation-based fitting. Results Good diagnostic performance could be reached with our template-based method. The optimal area under the ROC curve was 0.77. Diagnostic performance of the topography-based method was overall low. Significance Our new template-based method is more standardized and time-saving than visual spike identification on intra-scanner EEG recordings, and preserves good diagnostic performance for detecting the epileptogenic zone. |
| Databáze: | OpenAIRE |
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