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Agziyart EA, Abbasian K, Makouei S, Mohammadi SB. Investigating changes of functional brain networks in major depressive disorder by graph theoretical analysis of resting-state fMRI. Psychiatry Res Neuroimaging 2024; 344:111880. [PMID: 39217670 DOI: 10.1016/j.pscychresns.2024.111880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 08/19/2024] [Accepted: 08/23/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Major Depressive Disorder (MDD), as a chronic mental disorder, causes changes in mood, thoughts, and behavior. The pathophysiology of the disorder and its treatment are still unknown. One of the most notable changes observed in patients with MDD through fMRI is abnormal functional brain connectivity. METHODS Preprocessed data from 60 MDD patients and 60 normal controls (NCs) were selected, which has been performed using the DPARSF toolbox. The whole-brain functional networks and topologies were extracted using graph theory-based methods. A two-sample, two-tailed t-test was used to compare the topological features of functional brain networks between the MDD and NCs groups using the DPABI-Net/Statistical Analysis toolbox. RESULTS The obtained results showed a decrease in both global and local efficiency in MDD patients compared to NCs, and specifically, MDD patients showed significantly higher path length values. Acceptable p-values were obtained with a small sample size and less computational volume compared to the other studies on large datasets. At the node level, MDD patients showed decreased and relatively decreased node degrees in the sensorimotor network (SMN) and the dorsal attention network (DAN), respectively, as well as decreased node efficiency in the SMN, default mode network (DMN), and DAN. Also, MDD patients showed slightly decreased node efficiency in the visual networks (VN) and the ventral attention network (VAN), which were reported after FDR correction with Q < 0.05. LIMITATIONS All participants were Chinese. CONCLUSIONS Collectively, increased path length, decreased global and local efficiency, and also decreased nodal degree and efficiency in the SMN, DAN, DAN, VN, and VAN were found in patients compared to NCs.
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Affiliation(s)
- Elnaz Akbarpouri Agziyart
- Department of Biomedical Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
| | - Karim Abbasian
- Department of Biomedical Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.
| | - Somaye Makouei
- Department of Biomedical Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
| | - Sana Beyg Mohammadi
- Department of Biomedical Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
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2
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Sun J, Sun K, Chen L, Li X, Xu K, Guo C, Ma Y, Cao J, Zhang G, Hong Y, Wang Z, Gao S, Luo Y, Chen Q, Ye W, Yu X, Xiao X, Rong P, Yu C, Fang J. A predictive study of the efficacy of transcutaneous auricular vagus nerve stimulation in the treatment of major depressive disorder: An fMRI-based machine learning analysis. Asian J Psychiatr 2024; 98:104079. [PMID: 38838458 DOI: 10.1016/j.ajp.2024.104079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/13/2024] [Accepted: 04/24/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND In order to improve taVNS efficacy, the usage of fMRI to explore the predictive neuroimaging markers would be beneficial for screening the appropriate MDD population before treatment. METHODS A total of 86 MDD patients were recruited in this study, and all subjects were conducted with the clinical scales and resting-state functional magnetic resonance imaging (fMRI) scan before and after 8 weeks' taVNS treatment. A two-stage feature selection strategy combining Machine Learning and Statistical was used to screen out the critical brain functional connections (FC) that were significantly associated with efficacy prediction, then the efficacy prediction model was constructed for taVNS treating MDD. Finally, the model was validated by separated the responding and non-responding patients. RESULTS This study showed that taVNS produced promising clinical efficacy in the treatment of mild and moderate MDD. Eleven FCs were selected out and were found to be associated with the cortico-striatal-pallidum-thalamic loop, the hippocampus and cerebellum and the HAMD-17 scores. The prediction model was created based on these FCs for the efficacy prediction of taVNS treatment. The R-square of the conducted regression model for predicting HAMD-17 reduction rate is 0.44, and the AUC for classifying the responding and non-responding patients is 0.856. CONCLUSION The study demonstrates the validity and feasibility of combining neuroimaging and machine learning techniques to predict the efficacy of taVNS on MDD, and provides an effective solution for personalized and precise treatment for MDD.
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Affiliation(s)
- Jifei Sun
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China; Shunyi Hospital, Beijing Hospital of Traditional Chinese Medicine, Beijing 101300, China
| | - Kai Sun
- College of Artificial Intelligence and Big Data for Medical Sciences & Central Hospital Affiliated to Shandong First Medical University, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province 250021, China; Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province 250021, China
| | - Limei Chen
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China; Bao'an Traditional Chinese Medicine Hospital, Shenzhen, Guangdong Province 518133, China
| | - Xiaojiao Li
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Ke Xu
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Chunlei Guo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Yue Ma
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Jiudong Cao
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Guolei Zhang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Yang Hong
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Zhi Wang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Shanshan Gao
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Yi Luo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Qingyan Chen
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Weiyi Ye
- College of Artificial Intelligence and Big Data for Medical Sciences & Central Hospital Affiliated to Shandong First Medical University, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province 250021, China
| | - Xue Yu
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing 100026, China
| | - Xue Xiao
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing 100026, China
| | - Peijing Rong
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
| | - Changbin Yu
- College of Artificial Intelligence and Big Data for Medical Sciences & Central Hospital Affiliated to Shandong First Medical University, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province 250021, China.
| | - Jiliang Fang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
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3
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Chen G, Guo Z, Chen P, Yang Z, Yan H, Sun S, Ma W, Zhang Y, Qi Z, Fang W, Jiang L, Tao Q, Wang Y. Bright light therapy-induced improvements of mood, cognitive functions and cerebellar functional connectivity in subthreshold depression: A randomized controlled trial. Int J Clin Health Psychol 2024; 24:100483. [PMID: 39101053 PMCID: PMC11296024 DOI: 10.1016/j.ijchp.2024.100483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 06/25/2024] [Indexed: 08/06/2024] Open
Abstract
Background The efficacy of bright light therapy (BLT) in ameliorating depression has been validated. The present study is to investigate the changes of depressive symptoms, cognitive function and cerebellar functional connectivity (FC) following BLT in individuals with subthreshold depression (StD). Method Participants were randomly assigned to BLT group (N = 47) or placebo (N = 41) in this randomized controlled trial between March 2020 and June 2022. Depression severity and cognitive function were assessed, as well as resting-state functional MRI scan was conducted before and after 8-weeks treatment. Seed-based whole-brain static FC (sFC) and dynamic FC (dFC) analyses of the bilateral cerebellar subfields were conducted. Besides, a multivariate regression model examined whether baseline brain FC was associated with changes of depression severity and cognitive function during BLT treatment. Results After 8-week BLT treatment, individuals with StD showed improved depressive symptoms and attention/vigilance cognitive function. BLT also increased sFC between the right cerebellar lobule IX and left temporal pole, and decreased sFC within the cerebellum, and dFC between the right cerebellar lobule IX and left medial prefrontal cortex. Moreover, the fusion of sFC and dFC at baseline could predict the improvement of attention/vigilance in response to BLT. Conclusions The current study identified that BLT improved depressive symptoms and attention/vigilance, as well as changed cerebellum-DMN connectivity, especially in the cerebellar-frontotemporal and cerebellar internal FC. In addition, the fusion features of sFC and dFC at pre-treatment could serve as an imaging biomarker for the improvement of attention/vigilance cognitive function after BLT in StD.
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Affiliation(s)
- Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Zixuan Guo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Pan Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Zibin Yang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Hong Yan
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Shilin Sun
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Wenhao Ma
- Department of Public Health and Preventive Medicine, School of Basic Medicine, Jinan University, Guangzhou 510632, China
- Division of Medical Psychology and Behavior Science, School of Basic Medicine, Jinan University, Guangzhou 510632, China
| | - Yuan Zhang
- Department of Public Health and Preventive Medicine, School of Basic Medicine, Jinan University, Guangzhou 510632, China
- Division of Medical Psychology and Behavior Science, School of Basic Medicine, Jinan University, Guangzhou 510632, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Wenjie Fang
- Department of Public Health and Preventive Medicine, School of Basic Medicine, Jinan University, Guangzhou 510632, China
- Division of Medical Psychology and Behavior Science, School of Basic Medicine, Jinan University, Guangzhou 510632, China
| | - Lijun Jiang
- Department of Public Health and Preventive Medicine, School of Basic Medicine, Jinan University, Guangzhou 510632, China
- Division of Medical Psychology and Behavior Science, School of Basic Medicine, Jinan University, Guangzhou 510632, China
| | - Qian Tao
- Department of Public Health and Preventive Medicine, School of Basic Medicine, Jinan University, Guangzhou 510632, China
- Division of Medical Psychology and Behavior Science, School of Basic Medicine, Jinan University, Guangzhou 510632, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
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Liu X, Luo M, Wang Z, Yang SJ, Su M, Wang Y, Wang W, Sun Z, Cai Y, Wu L, Zhou R, Xu M, Zhao Q, Chen L, Zuo W, Huang Y, Ren P, Huang X. Mind shift I: Fructus Aurantii - Rhizoma Chuanxiong synergistically anchors stress-induced depression-like behaviours and gastrointestinal dysmotility cluster by regulating psycho-immune-neuroendocrine network. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2024; 128:155324. [PMID: 38552437 DOI: 10.1016/j.phymed.2023.155324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 12/14/2023] [Accepted: 12/26/2023] [Indexed: 05/01/2024]
Abstract
BACKGROUND Researchers have not studied the integrity, orderly correlation, and dynamic openness of complex organisms and explored the laws of systems from a global perspective. In the context of reductionism, antidepressant development formerly focused on advanced technology and molecular details, clear targets and mechanisms, but the clinical results were often unsatisfactory. PURPOSE MDD represents an aggregate of different and highly diverse disease subtypes. The co-occurrence of stress-induced nonrandom multimorbidity is widespread, whereas only a fraction of the potential clusters are well known, such as the MDD-FGID cluster. Mapping these clusters, and determining which are nonrandom, is vital for discovering new mechanisms, developing treatments, and reconfiguring services to better meet patient needs. STUDY DESIGN Acute stress 15-minute forced swimming (AFS) or CUMS protocols can induce the nonrandom MDD-FGID cluster. Multiple biological processes of rats with depression-like behaviours and gastrointestinal dysmobility will be captured under conditions of stress, and the Fructus Aurantii-Rhizoma Chuanxiong (ZQCX) decoction will be utilized to dock the MDD-FGID cluster. METHODS/RESULTS Here, Rhizoma Chuanxiong, one of the seven components of Chaihu-shugan-San, elicited the best antidepressant effect on CUMS rats, followed by Fructus Aurantii. ZQCX reversed AFS-induced depression-like behaviours and gastrointestinal dysmobility by regulating the glutamatergic system, AMPAR/BDNF/mTOR/synapsin I pathway, ghrelin signalling and gastrointestinal nitric oxide synthase. Based on the bioethnopharmacological analysis strategy, the determined meranzin hydrate (MH) and senkyunolide I (SI) by UPLC-PDA, simultaneously absorbed by the jejunum and hippocampus of rats, have been considered major absorbed bioactive compounds acting on behalf of ZQCX. Cotreatment with MH and SI at an equivalent dose in ZQCX synergistically replicated over 50.33 % efficacy of the parent formula in terms of antidepressant and prokinetic actions by modulating neuroinflammation and ghrelin signalling. CONCLUSION Brain-centric mind shifts require the integration of multiple central and peripheral systems and the elucidation of the underlying neurobiological mechanisms that ultimately contribute to novel therapeutic options. Ghrelin signalling and the immune system may partially underlie multimorbidity vulnerability, and ZQCX anchors stress-induced MDD-FGID clusters by docking them. Combining the results of micro details with the laws of the macro world may be more effective in finding treatments for MDD.
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Affiliation(s)
- XiangFei Liu
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China
| | - Min Luo
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China; Laboratory of Ethnopharmacology, Xiangya Hospital, Central South University, 410008 Changsha, China
| | - Zheng Wang
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China
| | - Shu Jie Yang
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China
| | - Mengqing Su
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China
| | - Yang Wang
- Laboratory of Ethnopharmacology, Xiangya Hospital, Central South University, 410008 Changsha, China
| | - Wenzhu Wang
- Laboratory of Ethnopharmacology, Xiangya Hospital, Central South University, 410008 Changsha, China
| | - ZhongHua Sun
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China
| | - YaWen Cai
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China
| | - Lei Wu
- Department of Pharmacy, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - RunZe Zhou
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China
| | - Min Xu
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China
| | - QiuLong Zhao
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China
| | - Li Chen
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China
| | - WenTing Zuo
- Department of Reproductive Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - YunKe Huang
- Women's Hospital, Zhejiang University School of Medicine, China
| | - Ping Ren
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China; Department of Geriatrics, Jiangsu Province Hospital of TCM, Nanjing University of Chinese Medicine, Nanjing, China
| | - Xi Huang
- Institute of TCM-Related Comorbid Depression, Nanjing University of Chinese Medicine, No.138 XianLin Avenue, QiXia District, Nanjing, Jiangsu, China.
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Doney E, Dion-Albert L, Coulombe-Rozon F, Osborne N, Bernatchez R, Paton SE, Kaufmann FN, Agomma RO, Solano JL, Gaumond R, Dudek KA, Szyszkowicz JK, Lebel M, Doyen A, Durand A, Lavoie-Cardinal F, Audet MC, Menard C. Chronic Stress Exposure Alters the Gut Barrier: Sex-Specific Effects on Microbiota and Jejunum Tight Junctions. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:213-228. [PMID: 38306213 PMCID: PMC10829561 DOI: 10.1016/j.bpsgos.2023.04.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 02/04/2024] Open
Abstract
Background Major depressive disorder (MDD) is the leading cause of disability worldwide. Of individuals with MDD, 30% to 50% are unresponsive to common antidepressants, highlighting untapped causal biological mechanisms. Dysfunction in the microbiota-gut-brain axis has been implicated in MDD pathogenesis. Exposure to chronic stress disrupts blood-brain barrier integrity; still, little is known about intestinal barrier function in these conditions, particularly for the small intestine, where absorption of most foods and drugs takes place. Methods We investigated how chronic social or variable stress, two mouse models of depression, impact the jejunum intestinal barrier in males and females. Mice were subjected to stress paradigms followed by analysis of gene expression profiles of intestinal barrier-related targets, fecal microbial composition, and blood-based markers. Results Altered microbial populations and changes in gene expression of jejunum tight junctions were observed depending on the type and duration of stress, with sex-specific effects. We used machine learning to characterize in detail morphological tight junction properties, identifying a cluster of ruffled junctions in stressed animals. Junctional ruffling is associated with inflammation, so we evaluated whether lipopolysaccharide injection recapitulates stress-induced changes in the jejunum and observed profound sex differences. Finally, lipopolysaccharide-binding protein, a marker of gut barrier leakiness, was associated with stress vulnerability in mice, and translational value was confirmed on blood samples from women with MDD. Conclusions Our results provide evidence that chronic stress disrupts intestinal barrier homeostasis in conjunction with the manifestation of depressive-like behaviors in a sex-specific manner in mice and, possibly, in human depression.
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Affiliation(s)
- Ellen Doney
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Québec City, Québec, Canada
| | - Laurence Dion-Albert
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Québec City, Québec, Canada
| | - Francois Coulombe-Rozon
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Québec City, Québec, Canada
| | - Natasha Osborne
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Renaud Bernatchez
- Department of Computer Science and Software Engineering and Department of Electrical and Computer Engineering, Université Laval, Québec City, Québec, Canada
| | - Sam E.J. Paton
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Québec City, Québec, Canada
| | - Fernanda Neutzling Kaufmann
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Québec City, Québec, Canada
| | - Roseline Olory Agomma
- Department of Computer Science and Software Engineering and Department of Electrical and Computer Engineering, Université Laval, Québec City, Québec, Canada
| | - José L. Solano
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Québec City, Québec, Canada
| | - Raphael Gaumond
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Québec City, Québec, Canada
| | - Katarzyna A. Dudek
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Québec City, Québec, Canada
| | - Joanna Kasia Szyszkowicz
- Douglas Mental Health University Institute and Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Manon Lebel
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Québec City, Québec, Canada
| | - Alain Doyen
- Department of Food Science, Institute of Nutrition and Functional Foods, Université Laval, Québec City, Québec, Canada
| | - Audrey Durand
- Department of Computer Science and Software Engineering and Department of Electrical and Computer Engineering, Université Laval, Québec City, Québec, Canada
| | - Flavie Lavoie-Cardinal
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Québec City, Québec, Canada
| | - Marie-Claude Audet
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada
- School of Nutrition Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | - Caroline Menard
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Québec City, Québec, Canada
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Zhang C, Jing H, Yan H, Li X, Liang J, Zhang Q, Liang W, Ou Y, Peng C, Yu Y, Wu W, Xie G, Guo W. Disrupted interhemispheric coordination of sensory-motor networks and insula in major depressive disorder. Front Neurosci 2023; 17:1135337. [PMID: 36960171 PMCID: PMC10028102 DOI: 10.3389/fnins.2023.1135337] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 02/22/2023] [Indexed: 03/09/2023] Open
Abstract
Objective Prior researches have identified distinct differences in neuroimaging characteristics between healthy controls (HCs) and patients with major depressive disorder (MDD). However, the correlations between homotopic connectivity and clinical characteristics in patients with MDD have yet to be fully understood. The present study aimed to investigate common and unique patterns of homotopic connectivity and their relationships with clinical characteristics in patients with MDD. Methods We recruited 42 patients diagnosed with MDD and 42 HCs. We collected a range of clinical variables, as well as exploratory eye movement (EEM), event-related potentials (ERPs) and resting-state functional magnetic resonance imaging (rs-fMRI) data. The data were analyzed using correlation analysis, support vector machine (SVM), and voxel-mirrored homotopic connectivity (VMHC). Results Compared with HCs, patients with MDD showed decreased VMHC in the insula, and increased VMHC in the cerebellum 8/vermis 8/vermis 9 and superior/middle occipital gyrus. SVM analysis using VMHC values in the cerebellum 8/vermis 8/vermis 9 and insula, or VMHC values in the superior/middle occipital gyrus and insula as inputs can distinguish HCs and patients with MDD with high accuracy, sensitivity, and specificity. Conclusion The study demonstrated that decreased VMHC in the insula and increased VMHC values in the sensory-motor networks may be a distinctive neurobiological feature for patients with MDD, which could potentially serve as imaging markers to discriminate HCs and patients with MDD.
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Affiliation(s)
- Chunguo Zhang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Huan Jing
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Xiaoling Li
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Jiaquan Liang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Qinqin Zhang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Wenting Liang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Yangpan Ou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Can Peng
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Yang Yu
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Weibin Wu
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Guojun Xie
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
- *Correspondence: Guojun Xie,
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Wenbin Guo,
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7
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Liu R, Qi H, Guan L, Wu H, Liu J, Li X, Huang J, Zhang L, Zhou Y, Zhou J. Functional connectivity of the default mode network subsystems in patients with major depressive episodes with mixed features. Gen Psychiatr 2022; 35:e100929. [PMID: 36654667 PMCID: PMC9764607 DOI: 10.1136/gpsych-2022-100929] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 11/20/2022] [Indexed: 12/23/2022] Open
Abstract
Background The neuroimaging mechanism of major depressive episodes with mixed features (MMF) is not clear. Aims This study aimed to investigate the functional connectivity of the default mode network (DMN) subsystems among patients with MMF and patients with major depressive disorder without mixed features (MDDnoMF). Methods This study recruited 47 patients with MDDnoMF and 27 patients with MMF from Beijing Anding Hospital, Capital Medical University, between April 2021 and June 2022. Forty-five healthy controls (HCs) were recruited. All subjects underwent resting-state functional magnetic resonance imaging scanning and clinical assessments. Intranetwork and internetwork functional connectivity were computed in the DMN core subsystem, dorsal medial prefrontal cortex (dMPFC) subsystem and medial temporal lobe (MTL) subsystem. Analysis of covariance method was performed to compare the intranetwork and internetwork functional connectivity in the DMN subsystems among the MDDnoMF, MMF and HC groups. Results The functional connectivity within the DMN core (F=6.32, pFDR=0.008) and MTL subsystems (F=4.45, pFDR=0.021) showed significant differences among the MDDnoMF, MMF and HC groups. Compared with the HC group, the patients with MDDnoMF and MMF had increased functional connectivity within the DMN MTL subsystem, and the patients with MMF also showed increased functional connectivity within the DMN core subsystem. Meanwhile, compared with the MDDnoMF, the patients with MMF had increased functional connectivity within the DMN core subsystem (mean difference (MDDnoMF-MMF)=-0.08, SE=0.04, p=0.048). However, no significant differences were found within the DMN dMPFC subsystem and all the internetwork functional connectivity. Conclusions Our results indicated abnormal functional connectivity patterns of DMN subsystems in patients with MMF, findings potentially beneficial to deepen our understanding of MMF's neural basis.
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Affiliation(s)
- Rui Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Han Qi
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Lin Guan
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Hang Wu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Jing Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Xiaoya Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Juan Huang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Ling Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Yuan Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China,CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
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Sun J, Du Z, Ma Y, Chen L, Wang Z, Guo C, Luo Y, Gao D, Hong Y, Zhang L, Han M, Cao J, Hou X, Xiao X, Tian J, Yu X, Fang J, Zhao Y. Altered functional connectivity in first-episode and recurrent depression: A resting-state functional magnetic resonance imaging study. Front Neurol 2022; 13:922207. [PMID: 36119680 PMCID: PMC9475213 DOI: 10.3389/fneur.2022.922207] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 07/28/2022] [Indexed: 01/10/2023] Open
Abstract
Background Functional magnetic resonance imaging (fMRI) studies examining differences in the activity of brain networks between the first depressive episode (FDE) and recurrent depressive episode (RDE) are limited. The current study observed and compared the altered functional connectivity (FC) characteristics in the default mode network (DMN), cognitive control network (CCN), and affective network (AN) between the RDE and FDE. In addition, we further investigated the correlation between abnormal FC and clinical symptoms. Methods We recruited 32 patients with the RDE, 31 patients with the FDE, and 30 healthy controls (HCs). All subjects underwent resting-state fMRI. The seed-based FC method was used to analyze the abnormal brain networks in the DMN, CCN, and AN among the three groups and further explore the correlation between abnormal FC and clinical symptoms. Results One-way analysis of variance showed significant differences the FC in the DMN, CCN, and AN among the three groups in the frontal, parietal, temporal, and precuneus lobes and cerebellum. Compared with the RDE group, the FDE group generally showed reduced FC in the DMN, CCN, and AN. Compared with the HC group, the FDE group showed reduced FC in the DMN, CCN, and AN, while the RDE group showed reduced FC only in the DMN and AN. Moreover, the FC in the left posterior cingulate cortices and the right inferior temporal gyrus in the RDE group were positively correlated with the 17-item Hamilton Rating Scale for Depression (HAMD-17), and the FC in the left dorsolateral prefrontal cortices and the right precuneus in the FDE group were negatively correlated with the HAMD-17. Conclusions The RDE and FDE groups showed multiple abnormal brain networks. However, the alterations of abnormal FC were more extensive and intensive in the FDE group.
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Affiliation(s)
- Jifei Sun
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhongming Du
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yue Ma
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Limei Chen
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhi Wang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Chunlei Guo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yi Luo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Deqiang Gao
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yang Hong
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Lei Zhang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ming Han
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jiudong Cao
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaobing Hou
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China
| | - Xue Xiao
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China
| | - Jing Tian
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China
| | - Xue Yu
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China
| | - Jiliang Fang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: Jiliang Fang
| | - Yanping Zhao
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Yanping Zhao
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