Feng-Xian Yan1, Yuan-Yu Hsu2,
Shi-Yu Cheng3, Kun-Eng Lim2, Ho-Ling Liu3,4
1Department of Medical
Imaging & Radiological Sciences, Chang Gung University, Kwei-Shan,
Tao-Yuan, Taiwan; 2Department of Medical Imaging, Buddhist
Tzu Chi General Hospital, Taipei, Taiwan; 3Department of Medical
Imaging & Radiological Sciences, Chang Gung University, Kwei-Shan,
Tao-Yuan, Taiwan; 4Department of Medical Imaging &
Intervention, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan
This study proposed a method to improve the conventional seed-based correlation analysis (SCAC) of resting-state (RS) fMRI by incorporating the regional homogeneity information (SCAReHo) in seed selection. Data from twelve healthy subjects were analyzed with five seed locations found in literatures: three in posterior cingulate cortex for default mode network and two for amygdale (right and left). The results showed that SCAReHo was more sensitive in detecting functional connectivity and less subject to variations in seed locations. This method is applicable to all RS-fMRI analysis and may be particular helpful when subjects exhibit distinct functional anatomy compared with normal populations.