DocumentCode
2490675
Title
Sparse MEG source imaging in Landau-Kleffner syndrome
Author
Zhu, Min ; Zhang, Wenbo ; Dickens, Deanna ; Ding, Lei
Author_Institution
Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
4909
Lastpage
4912
Abstract
Epilepsy patients with Landau-Kleffner syndrome (LKS) usually have a normal brain structure, which makes it a challenge to identify the epileptogenic zone only based on magnetic resonance imaging (MRI) data. A sparse source imaging technique called variation based sparse cortical current density (VB-SCCD) imaging was adopted here to reconstruct cortical sources of magnetoencephalography (MEG) interictal spikes from an LKS patient. Realistic boundary element (BE) head and cortex models were built by segmenting structural MRI. 148-channel MEG was recorded for 10 minutes between seizures. Total 29 epileptiform spikes were selected for analysis. The primary cortical sources were observed locating at the left intra- and perisylvian cortex. Multiple extrasylvian sources were identified as the secondary sources. The spatio-temporal patterns of cortical sources provide more insights about the neuronal synchrony and propagation of epileptic discharges. Our observations were consistent with presurgical diagnosis for this patient and observation of aphasia in LKS. The present results suggest that the promising of VB-SCCD technique in assisting with presurgical planning and studying the neural network for LKS in determining the lateralization of epileptic origins. It can further be applied to non-invasively localize and/or lateralize eloquent cortex for language for epilepsy patients in general in the future.
Keywords
biomedical MRI; boundary-elements methods; diseases; magnetoencephalography; neural nets; Landau-Kleffner syndrome; VB-SCCD imaging; brain structure; epilepsy patients; epileptic discharges; left intrasylvian cortex; magnetic resonance imaging; magnetoencephalography; neural network; neuronal synchrony; perisylvian cortex; realistic boundary element; sparse MEG source imaging; sparse source imaging; Brain models; Electroencephalography; Epilepsy; Image reconstruction; Magnetic resonance imaging; Algorithms; Brain; Brain Mapping; Computer Simulation; Diagnosis, Computer-Assisted; Humans; Landau-Kleffner Syndrome; Magnetoencephalography; Models, Neurological; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6091216
Filename
6091216
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