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Abstract #3686

Resting State Network in ADHD Rat Model Using Group ICA

Yi-Ling Wu1, Sheng-Min Huang1, Shin-Lei Peng1, Yi-Chun Wu2, Tao-Chieh Yang3, Jee-Ching Hsu4, Ming-Long Wu5, Fu-Nien Wang1

1Department of Biomedical Engineering & Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan; 2Animal Molecular Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan; 3Department of Neurosurgy, Chang Gung Memorial Hospital, Taoyuan, Taiwan; 4Department of Anesthesiology, Chang Gung Memorial Hospital, Taoyuan, Taiwan; 5Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan

In this study we investigated the resting state (RS) networks of attention deficit and hyperactive disorder (ADHD) using spontaneously hypertensive rats (SHR). RS network of SHR was found to be more active than normal rat in primary somatosensory (S1) and insular cortex region. The hyperactivity in S1 is speculated to be the possible reason of attention deficit since rats are sensitive to external changes. Though the detail connections of RS network and physiological functions should be further examined, our works suggest the feasibility to evaluate RS network differences by rat model. More case studies of ADHD could be conducted via rat model.