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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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