Abstract #1784
Detection of epileptogenic zone and its dynamics by database-approach of resting-state BOLD-based fMRI in Brain Cloud
Tzu-chen Yeh 1,2 , Chou-ming Cheng 3 , and Jin-jie Hong 3
1
Department of Radiology, Taipei Veterans
General Hospital, Taipei, Taiwan, Taiwan,
2
Institute
of Brain Science, National Yang-Ming University, Taipei,
Taiwan, Taiwan,
3
Department of Medical
Education and Research, Taipei Veterans General
Hospital, Taipei, Taiwan, Taiwan
Two-thirds of patients with focal epilepsy there are no
identifiable brain lesions on conventional MR imaging.
Resting-state blood-oxygenation-level-dependence (BOLD)
functional MRI (rs-fMRI) was proposed to detect the
epileptogenic zone (EZ), irritative zone (IZ), pacemaker
zone (PZ) or ictal symptomatic zone (ISZ) based on local
functional connectivity of inter-ictal neuronal
discharge. In this study, the database-approach of
Brain Cloud was tested using the rs-fMRI of on-site
or web-site database of rs-fMRI. Correlation with
electrocorticography (ECoG) was applied for
verification, and time-lag functional netwrok of rs-fMRI
was derived for mapping the dynamics of zones related to
seizure.
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