Hongliang Zhou1, Lingling Hua1, Haiteng Jiang2, Zongpeng Dai2, Yinglin Han1, Pinhua Lin1, Haofei Wang1, Qing Lu2,3, Zhijian Yao1,4. 1. Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, People's Republic of China. 2. School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, People's Republic of China. 3. Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing 210096, People's Republic of China. 4. Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing 210093, People's Republic of China.
Abstract
OBJECTIVE: To investigate the mechanism of interactions between autonomic nervous system (ANS) and cognitive function in Major depression (MD) with Magnetoencephalography (MEG) measurements. METHODS: Participants with MD (n = 20), and Health controls (HCs, n = 18) were completed MEG measurements during the performance of a go/no-go task. Heart rate variability (HRV) indices (SDANN, and RMSSD) were derived from the raw MEG data. The correlation analysis of the HRV and functional connectivities in different brain regions was conducted by Pearson's r in two groups. RESULTS: The go/no-go task performances of HCs were better than MD patients; HRV indices were lower in the MD group. Under the no-go task, a brain MEG functional connectivity analysis based on the seed regions of the orbitofrontal cortex (OFC) displayed increased functional inter-region connectivity networks of OFC in MD group. HRV indices were correlated with different functional inter-region connectivity networks of OFC in two groups, respectively. CONCLUSION: ANS is related to inhibitory and control function through functional inter-region connectivity networks of OFC in MD. These findings have important implications for the understanding pathophysiology of MD, and MEG may provide an image-guided tool for interventions.
OBJECTIVE: To investigate the mechanism of interactions between autonomic nervous system (ANS) and cognitive function in Major depression (MD) with Magnetoencephalography (MEG) measurements. METHODS: Participants with MD (n = 20), and Health controls (HCs, n = 18) were completed MEG measurements during the performance of a go/no-go task. Heart rate variability (HRV) indices (SDANN, and RMSSD) were derived from the raw MEG data. The correlation analysis of the HRV and functional connectivities in different brain regions was conducted by Pearson's r in two groups. RESULTS: The go/no-go task performances of HCs were better than MD patients; HRV indices were lower in the MD group. Under the no-go task, a brain MEG functional connectivity analysis based on the seed regions of the orbitofrontal cortex (OFC) displayed increased functional inter-region connectivity networks of OFC in MD group. HRV indices were correlated with different functional inter-region connectivity networks of OFC in two groups, respectively. CONCLUSION: ANS is related to inhibitory and control function through functional inter-region connectivity networks of OFC in MD. These findings have important implications for the understanding pathophysiology of MD, and MEG may provide an image-guided tool for interventions.
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