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Chu T, Si X, Xie H, Ma H, Shi Y, Yao W, Xing D, Zhao F, Dong F, Gai Q, Che K, Guo Y, Chen D, Ming D, Mao N. Regional structural-functional connectivity coupling in major depressive disorder is associated with neurotransmitter and genetic profiles. Biol Psychiatry 2024:S0006-3223(24)01555-5. [PMID: 39218135 DOI: 10.1016/j.biopsych.2024.08.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 08/03/2024] [Accepted: 08/22/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Abnormalities in structural-functional connectivity (SC-FC) coupling have been identified globally in patients with major depressive disorder (MDD). However, investigations have neglected the variability and hierarchical distribution of these abnormalities across different brain regions. Furthermore, the biological mechanisms underlying regional SC-FC coupling patterns are not well understood. METHODS We enrolled 182 patients with MDD and 157 healthy control (HC) subjects, quantifying the intergroup differences in regional SC-FC coupling. The extreme gradient boosting (XGBoost), support vector machines (SVM) and random forest (RF) models were constructed to assess the potential of SC-FC coupling as biomarkers for MDD diagnosis and symptom prediction. Then, we examined the link between changes in regional SC-FC coupling in patients with MDD, neurotransmitter distributions, and gene expression. RESULTS We observed increased regional SC-FC coupling in default mode network (T = 3.233) and decreased coupling in frontoparietal network (T = -3.471) in MDD relative to HC. XGBoost (AUC = 0.853), SVM (AUC = 0.832) and RF (p < 0.05) models exhibited good prediction performance. The alterations in regional SC-FC coupling in patients with MDD were correlated with the distributions of four neurotransmitters (p < 0.05) and expression maps of specific genes. These genes were strongly enriched in genes implicated in excitatory neurons, inhibitory neurons, cellular metabolism, synapse function, and immune signaling. These findings were replicated on two brain atlases. CONCLUSIONS This work enhances our understanding of MDD and pave the way for the development of additional targeted therapeutic interventions.
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Affiliation(s)
- Tongpeng Chu
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China, 300072; Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, P. R. China, 264000; State Key Laboratory of Advanced Medical Materials and Devices, Tianjin, China, 300072; Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin, China, 300392; Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin University, Tianjin, China, 300072; Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases (Yantai Yuhuangding Hospital); Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, P. R. China, 264000
| | - Xiaopeng Si
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China, 300072; State Key Laboratory of Advanced Medical Materials and Devices, Tianjin, China, 300072; Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin, China, 300392; Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin University, Tianjin, China, 300072
| | - Haizhu Xie
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, P. R. China, 264000
| | - Heng Ma
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, P. R. China, 264000
| | - Yinghong Shi
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, P. R. China, 264000
| | - Wei Yao
- Department of Neurology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, Shandong, P. R. China, 253000
| | - Dong Xing
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, P. R. China, 264000
| | - Feng Zhao
- School of Computer Science and Technology, Shandong Technology and Business University, Yantai, Shandong, P. R. China, 264000
| | - Fanghui Dong
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, P. R. China, 264000
| | - Qun Gai
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, P. R. China, 264000
| | - Kaili Che
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, P. R. China, 264000
| | - Yuting Guo
- School of Medical Imaging, Binzhou Medical University, Yantai, Shandong, P. R. China, 264000
| | - Danni Chen
- School of Medical Imaging, Binzhou Medical University, Yantai, Shandong, P. R. China, 264000
| | - Dong Ming
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China, 300072; State Key Laboratory of Advanced Medical Materials and Devices, Tianjin, China, 300072; Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin, China, 300392; Tianjin Key Laboratory of Brain Science and Neuroengineering, Tianjin University, Tianjin, China, 300072
| | - Ning Mao
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, P. R. China, 264000; Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases (Yantai Yuhuangding Hospital); Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, P. R. China, 264000.
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Lu F, Chen Y, Cui Q, Guo Y, Pang Y, Luo W, Yu Y, Chen J, Gao J, Sheng W, Tang Q, Zeng Y, Jiang K, Gao Q, He Z, Chen H. Shared and distinct patterns of dynamic functional connectivity variability of thalamo-cortical circuit in bipolar depression and major depressive disorder. Cereb Cortex 2023:6987621. [PMID: 36642500 DOI: 10.1093/cercor/bhac534] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 01/17/2023] Open
Abstract
Evidence has indicated abnormalities of thalamo-cortical functional connectivity (FC) in bipolar disorder during a depressive episode (BDD) and major depressive disorder (MDD). However, the dynamic FC (dFC) within this system is poorly understood. We explored the thalamo-cortical dFC pattern by dividing thalamus into 16 subregions and combining with a sliding-window approach. Correlation analysis was performed between altered dFC variability and clinical data. Classification analysis with a linear support vector machine model was conducted. Compared with healthy controls (HCs), both patients revealed increased dFC variability between thalamus subregions with hippocampus (HIP), angular gyrus and caudate, and only BDD showed increased dFC variability of the thalamus with superior frontal gyrus (SFG), HIP, insula, middle cingulate gyrus, and postcentral gyrus. Compared with MDD and HCs, only BDD exhibited enhanced dFC variability of the thalamus with SFG and superior temporal gyrus. Furthermore, the number of depressive episodes in MDD was significantly positively associated with altered dFC variability. Finally, the disrupted dFC variability could distinguish BDD from MDD with 83.44% classification accuracy. BDD and MDD shared common disrupted dFC variability in the thalamo-limbic and striatal-thalamic circuitries, whereas BDD exhibited more extensive and broader aberrant dFC variability, which may facilitate distinguish between these 2 mood disorders.
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Affiliation(s)
- Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China
| | - Yanchi Chen
- Glasgow College, University of Electronic Science and Technology of China, Chengdu, No. 2006, Xiyuan Ave, West Hi-Tech Zone, 611731, PR China
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, No. 2006, Xiyuan Ave, West Hi-Tech Zone, 611731, PR China
| | - Yuanhong Guo
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China
| | - Yajing Pang
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, No. 100 Science Avenue, High-tech Zone, 450001, PR China
| | - Wei Luo
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China
| | - Yue Yu
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China
| | - Jiajia Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China
| | - Jingjing Gao
- School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, No. 2006, Xiyuan Ave, West Hi-Tech Zone, 611731, China
| | - Wei Sheng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China
| | - Qin Tang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China
| | - Yuhong Zeng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China
| | - Kexing Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China
| | - Qing Gao
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China.,School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, No. 2006, Xiyuan Ave, West Hi-Tech Zone, 611731, PR China
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China.,MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, No. 2006, Xiyuan Ave, West Hi-Tech Zone, 611731, PR China
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