Objective Discrimination of Depression: Detection and Analysis of Resting State Functional Connectivity Based on Optical Brain Imaging
Zhu Huilin1, 2*, Xu Jie2,3, Li Jiangxue4, Peng Hongjun5
1 Children Developmental & Behavioral Center, Third Affiliated Hospital of Sun Yet-Sen University, Guangzhou 510630, China 2 Centre for Optical and Electromagnetic Research, South China Academy of Advanced Optoelectronics,South China Normal University, Guangzhou 510006, China 3 Guangdong Branch, China Unicom Co., Ltd, Guangzhou 510627, China 4 The Research Center of Psychological Counseling, South China Normal University, Guangzhou 510631, China 5 The Department of Clinical Psychology, Guangzhou Brain Hospital Guangzhou Huiai Hospital, the Affiliated Brain Hospital of Guangzhou Medical School, Guangzhou 510170, China
Abstract Recently, resting-state functional connectivity (RSFC) has gradually been studied in patients with mental disorders by functional near-infrared spectroscopy (fNIRS). However, it is still unknown whether RSFC derived from fNIRS is predictable for depressive disorders. In this work, we employed fNIRS(42 channels) to measure 8-minute spontaneous hemodynamic activity in the prefrontal cortex (PFC) of 28 patients having depressive disorders and 30 healthy controls. After filtering irrelative components by independent component and band-pass filter (0.008-0.09 Hz), we calculated left-right correlations in the prefrontal cortex which included inferior prefrontal cortex (IFG), middle prefrontal cortex (MFG) and superior prefrontal cortex (SFG).Then we selected two significant parameters (left-right correlations in the IFG and MFG as a participant’s two features for further classification (75% of the participants) and prediction (25% of the participants) using linear discriminant analysis (LDA) and support vector machine (SVM). Finally, a sensitivity of 73-74% and specificity of 83-87%was yielded. These results supported that RSFC derived from fNIRS is a feasible and effective technique to identify whether someone is suffered from depressive disorders.
Zhu Huilin,Xu Jie,Li Jiangxue, et al. Objective Discrimination of Depression: Detection and Analysis of Resting State Functional Connectivity Based on Optical Brain Imaging[J]. Chinese Journal of Biomedical Engineering, 2018, 37(3): 283-289.
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