Abstract #3192

Diffusion tensor imaging and resting-state functional MRI reveal altered brain network hubs on a depression knockout mouse model

Sheng-Min Huang^1,2, Kuan-Hung Cho¹, Tsung-Ying Yang³, Yi-Shan Wu³, Hsuan-Kai Huang⁴, Chia-Wen Chiang¹, Pei-Hsin Huang^3,5, and Li-Wei Kuo^1,6

¹Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan, ²Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, ³Graduate Institute of Pathology, National Taiwan University College of Medicine, Taipei, Taiwan, ⁴Department of Physics, National Taiwan University, Taipei, Taiwan, ⁵Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan, ⁶Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan

In this study, diffusion tensor imaging (DTI) and resting-state functional MRI were employed on a depression knock-out mouse model, which shows behaviors of anxiety and depression. The brain network hubs were investigated by region-of-interest (ROI) and connectivity analyses. Our results showed altered resting-state connectivity in prefrontal and hippocampal areas. Also, altered DTI indices were also found in thalamus and hippocampus. These findings are consistent with previous human studies and suggest the brain neuroimaging could be potentially useful to reveal the brain network hubs affected by depression on the proposed mouse model.

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