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Magnetoencephalography with temporal spread imaging to visualize propagation of epileptic activity

Authors :
Ryosuke Takahashi
Takayuki Kikuchi
Shigetoshi Takaya
Rika Inano
Masao Matsuhashi
Hisaji Imamura
Akio Ikeda
Takeharu Kunieda
Hidenao Fukuyama
Tatsuya Mima
Yukihiro Yamao
Nobuhiro Mikuni
Sumiya Shibata
Susumu Miyamoto
Riki Matsumoto
Source :
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 128(5)
Publication Year :
2016

Abstract

Objective We describe temporal spread imaging (TSI) that can identify the spatiotemporal pattern of epileptic activity using Magnetoencephalography (MEG). Methods A three-dimensional grid of voxels covering the brain is created. The array-gain minimum-variance spatial filter is applied to an interictal spike to estimate the magnitude of the source and the time (Ta) when the magnitude exceeds a predefined threshold at each voxel. This calculation is performed through all spikes. Each voxel has the mean Ta ( ) and spike number (N sp ), which is the number of spikes whose source exceeds the threshold. Then, a random resampling method is used to determine the cutoff value of N sp for the statistically reproducible pattern of the activity. Finally, all the voxels where the source exceeds the threshold reproducibly shown on the MRI with a color scale representing . Results Four patients with intractable mesial temporal lobe epilepsy (MTLE) were analyzed. In three patients, the common pattern of the overlap between the propagation and the hypometabolism shown by fluorodeoxyglucose-positron emission tomography (FDG-PET) was identified. Conclusions TSI can visualize statistically reproducible patterns of the temporal and spatial spread of epileptic activity. Significance TSI can assess the statistical significance of the spatiotemporal pattern based on its reproducibility.

Details

ISSN :
18728952
Volume :
128
Issue :
5
Database :
OpenAIRE
Journal :
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Accession number :
edsair.doi.dedup.....471f749886b5d0841e99adf6a406b190