演題番号 : P3-o04
金桶 吉起 / Yoshiki Kaneoke:1
1:自然科学研究機構生理学研究所統合生理研究系 / Department of Integrative Physiology, National Institute for Physiological Sciences, Okazaki, Japan 2:名古屋大学大学院医学系研究科脳神経外科学 / Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Japan 3:名古屋大学大学院医学系研究科量子医学 / Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
We developed methods for the estimation of epileptogenic focus for patients with secondary generalized seizure using resting-state fMRI data. While subjects were instructed to hold still with eye-closed, functional scanning using a gradient-echo echo-planar pulse sequence (TR=2.5 s) were performed with a 3 T system for 6 min. After the preprocessing for the removal of various artifacts using SPM, time course of each voxel signal was analyzed. First, magnitude of autocorrelation (AC) function for each voxel (maxAC) was evaluated. Second, hub estimation based on the graph theory using the whole brain voxels was done by calculating the mean correlation coefficient between one voxel and all other voxels for each voxel (degree, D). Third, functional connectivity (fc) between the thalamic area and the other brain voxels was calculated as the correlation coefficient between a seed in one of the thalamic nuclei (Th) and the other brain voxels (fc-Th). When these methods were applied to estimate epileptic focus for the patient who suffered from localization-related epilepsy with secondary generalized seizure, all the three methods indicated the right medial temporal area which corresponded to the lesion location. Namely, the magnitude of maxAC and the value of D were higher in the right temporal area around the lesion than the other areas. Further, the fc-Th revealed that the contra-lateral thalamic VL nucleus was abnormally connected to the right temporal area. Although the magnitude of maxAC was higher for the possible epileptogenic focus for the patient with partial seizure, D and fc-Th did not indicate specific area. We consider that these methods using resting state fMRI data are useful to find out epileptogenic focus for the diagnosis and treatment of various types of epilepsies because this non-invasive and task-free data acquisition can be applied to most of all patients.