Abstract #1689

Resting-state functional connectivity and brain network abnormalities in depressive patients with suicidal ideation

Jun-Cheng Weng^1,2,3, Yu-Syuan Chou⁴, Yuan-Hsiung Tsai^5,6, and Vincent Chin-Hung Chen^3,5

¹Department of Medical Imaging and Radiological Sciences, and Bachelor Program in Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan, ²Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan, ³Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, ⁴Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan, ⁵School of Medicine, Chang Gung University, Taoyuan, Taiwan, ⁶Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, Taiwan

Our study aimed to investigate whether changes in brain function measured with functional magnetic resonance imaging (fMRI) can be detected among individuals with depressive disorders and suicidal ideation, including amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and graph theoretical analysis (GTA). We results suggest that brain functional connectivity may be affected in depressive patients with suicidal ideation. The findings from present study can serve as the basis for further algorithm studies by machine learning method to stratify the risk population.

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