Abstract #1602

Incorporation of Regional Homogeneity in Seed Definition for the Resting-State Functional MRI Analysis

Feng-Xian Yan¹, Yuan-Yu Hsu², Shi-Yu Cheng³, Kun-Eng Lim², Ho-Ling Liu^3,4

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.