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Sun H, Cui H, Sun Q, Li Y, Bai T, Wang K, Zhang J, Tian Y, Wang J. Individual large-scale functional network mapping for major depressive disorder with electroconvulsive therapy. J Affect Disord 2024; 360:116-125. [PMID: 38821362 DOI: 10.1016/j.jad.2024.05.141] [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: 02/17/2024] [Revised: 05/08/2024] [Accepted: 05/27/2024] [Indexed: 06/02/2024]
Abstract
Personalized functional connectivity mapping has been demonstrated to be promising in identifying underlying neurophysiological basis for brain disorders and treatment effects. Electroconvulsive therapy (ECT) has been proved to be an effective treatment for major depressive disorder (MDD) while its active mechanisms remain unclear. Here, 46 MDD patients before and after ECT as well as 46 demographically matched healthy controls (HC) underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans. A spatially regularized form of non-negative matrix factorization (NMF) was used to accurately identify functional networks (FNs) in individuals to map individual-level static and dynamic functional network connectivity (FNC) to reveal the underlying neurophysiological basis of therepetical effects of ECT for MDD. Moreover, these static and dynamic FNCs were used as features to predict the clinical treatment outcomes for MDD patients. We found that ECT could modulate both static and dynamic large-scale FNCs at individual level in MDD patients, and dynamic FNCs were closely associated with depression and anxiety symptoms. Importantly, we found that individual FNCs, particularly the individual dynamic FNCs could better predict the treatment outcomes of ECT suggesting that dynamic functional connectivity analysis may be better to link brain functional characteristics with clinical symptoms and treatment outcomes. Taken together, our findings provide new evidence for the active mechanisms and biomarkers for ECT to improve diagnostic accuracy and to guide individual treatment selection for MDD patients.
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Affiliation(s)
- Hui Sun
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Hongjie Cui
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Qinyao Sun
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 625014, China
| | - Yuanyuan Li
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Tongjian Bai
- Department of Neurology, the First Hospital of Anhui Medical University, Hefei 230022, China
| | - Kai Wang
- Department of Neurology, the First Hospital of Anhui Medical University, Hefei 230022, China; School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230022, China
| | - Jiang Zhang
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China.
| | - Yanghua Tian
- Department of Neurology, the First Hospital of Anhui Medical University, Hefei 230022, China; School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230022, China.
| | - Jiaojian Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China; Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China.
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Ghezeljeh FK, Kazemi R, Rostami R, Zandbagleh A, Khomami S, Vandi FR, Hadipour AL. Female Cerebellum Seems Sociable; An iTBS Investigation. CEREBELLUM (LONDON, ENGLAND) 2024:10.1007/s12311-024-01686-x. [PMID: 38530595 DOI: 10.1007/s12311-024-01686-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/11/2024] [Indexed: 03/28/2024]
Abstract
The cerebellum has been shown to be engaged in tasks other than motor control, including cognitive and affective functions. Prior neuroimaging studies have documented the role of this area in social cognition and despite these findings, no studies have yet examined the causal relationship between the cerebellum and social cognition. This study aimed to investigate the role of the cerebellum in empathy and theory of mind (ToM) in a randomized, placebo-controlled, double-blind, parallel study. 32 healthy participants were assigned to either a sham or active group. For the active group, an intermittent theta-burst stimulation (iTBS) protocol at 100% of the motor threshold was applied to the cerebellum, while the control group received sham stimulation. An eyes-closed EEG session, the Empathy Quotient (EQ) test, and the Reading the Mind in the Eyes Test (RMET) were administered before and after the iTBS session. The results demonstrated differences in cognitive empathy, ToM, and a decrease in the activity of the default mode network (DMN) between the active and sham groups in females. Females also showed a decrease in the activity of the affective empathy network and connectivity in the DMN. We conclude that cognitive empathy and ToM are associated with cerebellar activity, and due to sex-related differences in the cortical organization of this area which is modulated by sex hormones, the stimulation of the cerebellum in males and females yields different results.
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Affiliation(s)
| | - Reza Kazemi
- Faculty of Entrepreneurship, University of Tehran, Farshi Moghadam (16 St.), North Kargar Ave., Tehran, Iran.
| | - Reza Rostami
- Department of Psychology, University of Tehran, Tehran, Iran
| | - Ahmad Zandbagleh
- School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
| | - Sanaz Khomami
- Department of Psychology, West Tehran Branch, Islamic Azad University, Tehran, Iran
| | | | - Abed L Hadipour
- Department of Cognitive Sciences, University of Messina, Messina, Italy
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Feng L, Wu D, Ma S, Dong L, Yue Y, Li T, Tang Y, Ye Z, Mao G. Resting-state functional connectivity of the cerebellum-cerebrum in older women with depressive symptoms. BMC Psychiatry 2023; 23:732. [PMID: 37817133 PMCID: PMC10566116 DOI: 10.1186/s12888-023-05232-7] [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: 04/19/2023] [Accepted: 09/28/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND Although there has been much neurobiological research on major depressive disorder, research on the neurological function of depressive symptoms (DS) or subclinical depression is still scarce, especially in older women with DS. OBJECTIVES Resting-state functional magnetic resonance imaging (rs-fMRI) was used to compare functional connectivity (FC) between the cerebellum and cerebral in older women with DS and normal controls (NC), to explore unique changes in cerebellar FC in older women with DS. METHODS In all, 16 older women with DS and 17 NC were recruited. All subjects completed rs-fMRI. The 26 sub-regions of the cerebellum divided by the AAL3 map were used as regions of interest (ROI) to analyze the difference in FC strength of cerebellar seeds from other cerebral regions between the two groups. Finally, partial correlation analysis between abnormal FC strength and Geriatric Depression Scale (GDS) score and Reminiscence Functions Scale (RFS) score in the DS group. RESULTS Compared with NC group, the DS group showed significantly reduced FC between Crus I, II and the left frontoparietal region, and reduced FC between Crus I and the left temporal gyrus. Reduced FC between right insula (INS), right rolandic operculum (ROL), right precentral gyrus (PreCG) and the Lobule IX, X. Moreover, the negative FC between Crus I, II, Lobule IX and visual regions was reduced in the DS group. The DS group correlation analysis showed a positive correlation between the left Crus I and the right cuneus (CUN) FC and GDS. In addition, the abnormal FC strength correlated with the scores in different dimensions of the RFS, such as the negative FC between the Crus I and the left middle temporal gyrus (MTG) was positively associated with intimacy maintenance, and so on. CONCLUSION Older women with DS have anomalous FC between the cerebellum and several regions of the cerebrum, which may be related to the neuropathophysiological mechanism of DS in the DS group.
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Affiliation(s)
- Lanling Feng
- Nursing Department, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Dongmei Wu
- Nursing Department, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
| | - Shaolun Ma
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Li Dong
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuchuan Yue
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Tao Li
- Nursing Department, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Yixun Tang
- Nursing Department, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Zixiang Ye
- Nursing Department, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Guoju Mao
- Nursing Department, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
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Wang X, Xia J, Wang W, Lu J, Liu Q, Fan J, Soondrum T, Yu Q, Tan C, Zhu X. Disrupted functional connectivity of the cerebellum with default mode and frontoparietal networks in young adults with major depressive disorder. Psychiatry Res 2023; 324:115192. [PMID: 37054552 DOI: 10.1016/j.psychres.2023.115192] [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: 01/04/2023] [Revised: 03/15/2023] [Accepted: 04/04/2023] [Indexed: 04/15/2023]
Abstract
Cerebellar dysconnectivity has repeatedly been documented in major depressive disorder (MDD). The cerebellum is composed of multiple functionally distinct subunits, and whether those subunits show similar or distinct dysconnectivity patterns with the cerebrum in MDD, is still unclear and needs to be further clarified. In this study, 91 MDD patients (23 male and 68 female) and 59 demographically matched healthy controls (22 male and 37 female) were enrolled to explore the cerebellar-cerebral dysconnectivity pattern in MDD by using the cutting-edge cerebellar partition atlas. Results showed that MDD patients exhibit decreased cerebellar connectivity with cerebral regions of default mode (DMN), frontoparietal networks (FPN), and visual areas. The dysconnectivity pattern was statistically similar across cerebellar subunits, with no significant diagnosis-by-subunit interactions. Correlation analyzes showed that cerebellar-dorsal lateral prefrontal cortex (DLPFC) connectivity is significantly correlated with anhedonia in MDD patients. Such dysconnectivity pattern was not affected by sex, which, however, should be further replicated in larger samples. These findings suggest a generalized disrupted cerebellar-cerebral connectivity pattern in MDD across all cerebellar subunits, which partially accounts for depressive symptoms in MDD, thus highlighting the pivotal role of the disrupted connectivity of cerebellum with DMN and FPN in the neuropathology of depression.
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Affiliation(s)
- Xiang Wang
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China; National Clinical Research Center for Mental Disorders, Changsha, Hunan, China
| | - Jie Xia
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China; National Clinical Research Center for Mental Disorders, Changsha, Hunan, China
| | - Weiyan Wang
- National Clinical Research Center for Mental Disorders, Changsha, Hunan, China; Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jingjie Lu
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China; National Clinical Research Center for Mental Disorders, Changsha, Hunan, China
| | - Qian Liu
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China; National Clinical Research Center for Mental Disorders, Changsha, Hunan, China
| | - Jie Fan
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China; National Clinical Research Center for Mental Disorders, Changsha, Hunan, China
| | - Tamini Soondrum
- Association Alzheimer of Mauritius, Old Moka Road, Belle Rose, Quatre Bornes, Mauritius
| | - Quanhao Yu
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China; National Clinical Research Center for Mental Disorders, Changsha, Hunan, China
| | - Changlian Tan
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiongzhao Zhu
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China; National Clinical Research Center for Mental Disorders, Changsha, Hunan, China.
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Nakamura T, Kaneko T, Sasayama D, Yoshizawa T, Kito Y, Fujinaga Y, Washizuka S. Cerebellar network changes in depressed patients with and without autism spectrum disorder: A case-control study. Psychiatry Res Neuroimaging 2023; 329:111596. [PMID: 36669239 DOI: 10.1016/j.pscychresns.2023.111596] [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: 10/13/2022] [Revised: 01/04/2023] [Accepted: 01/09/2023] [Indexed: 01/18/2023]
Abstract
Pathophysiological difference of depression in patients with and without autistic spectrum disorder (ASD) has not been investigated previously. Therefore, we sought to determine whether there were differences between non-ASD and ASD groups on resting-state functional magnetic resonance imaging (rs-fMRI) in patients with depression. We performed 3T MRI under resting state in 8 patients with depression and ASD and 12 patients with depression but without ASD. The ASD group showed increased functional connectivity in the cerebellar network of the left posterior inferior temporal gyrus and anterior cerebellar lobes compared to the non-ASD group in an analysis of covariance. Adding antipsychotics, antidepressants, benzodiazepines, nonbenzodiazepines, anxiolytics, hypnotics, or age as covariates showed a similar increase in functional connectivity. Thus, this study found that depressive patients with ASD had increased functional connectivity in the cerebellar network. Our findings suggest that fMRI may be able to evaluate differences in depressed patients with and without ASD.
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Affiliation(s)
- Toshinori Nakamura
- Department of Psychiatry, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, 390-8621, Nagano, Japan.
| | - Tomoki Kaneko
- Department of Radiology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, 390-8621, Nagano, Japan
| | - Daimei Sasayama
- Department of Psychiatry, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, 390-8621, Nagano, Japan
| | - Tomonari Yoshizawa
- Department of Psychiatry, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, 390-8621, Nagano, Japan
| | - Yoshihiro Kito
- Radiology Division, Shinshu University Hospital, 3-1-1 Asahi, Matsumoto, 390-8621, Nagano, Japan
| | - Yasunari Fujinaga
- Department of Radiology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, 390-8621, Nagano, Japan
| | - Shinsuke Washizuka
- Department of Psychiatry, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, 390-8621, Nagano, Japan
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Cerebello-cerebral Functional Connectivity Networks in Major Depressive Disorder: a CAN-BIND-1 Study Report. CEREBELLUM (LONDON, ENGLAND) 2023; 22:26-36. [PMID: 35023065 DOI: 10.1007/s12311-021-01353-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/29/2021] [Indexed: 02/01/2023]
Abstract
Neuroimaging studies have demonstrated aberrant structure and function of the "cognitive-affective cerebellum" in major depressive disorder (MDD), although the specific role of the cerebello-cerebral circuitry in this population remains largely uninvestigated. The objective of this study was to delineate the role of cerebellar functional networks in depression. A total of 308 unmedicated participants completed resting-state functional magnetic resonance imaging scans, of which 247 (148 MDD; 99 healthy controls, HC) were suitable for this study. Seed-based resting-state functional connectivity (RsFc) analysis was performed using three cerebellar regions of interest (ROIs): ROI1 corresponded to default mode network (DMN)/inattentive processing; ROI2 corresponded to attentional networks, including frontoparietal, dorsal attention, and ventral attention; ROI3 corresponded to motor processing. These ROIs were delineated based on prior functional gradient analyses of the cerebellum. A general linear model was used to perform within-group and between-group comparisons. In comparison to HC, participants with MDD displayed increased RsFc within the cerebello-cerebral DMN (ROI1) and significantly elevated RsFc between the cerebellar ROI1 and bilateral angular gyrus at a voxel threshold (p < 0.001, two-tailed) and at a cluster level (p < 0.05, FDR-corrected). Group differences were non-significant for ROI2 and ROI3. These results contribute to the development of a systems neuroscience approach to the diagnosis and treatment of MDD. Specifically, our findings confirm previously reported associations between MDD, DMN, and cerebellum, and highlight the promising role of these functional and anatomical locations for the development of novel imaging-based biomarkers and targets for neuromodulation therapies. ClinicalTrials.gov TRN: NCT01655706; Date of Registration: August 2nd, 2012.
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Young IM, Dadario NB, Tanglay O, Chen E, Cook B, Taylor HM, Crawford L, Yeung JT, Nicholas PJ, Doyen S, Sughrue ME. Connectivity Model of the Anatomic Substrates and Network Abnormalities in Major Depressive Disorder: A Coordinate Meta-Analysis of Resting-State Functional Connectivity. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2023. [DOI: 10.1016/j.jadr.2023.100478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
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8
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Sheng W, Cui Q, Jiang K, Chen Y, Tang Q, Wang C, Fan Y, Guo J, Lu F, He Z, Chen H. Individual variation in brain network topology is linked to course of illness in major depressive disorder. Cereb Cortex 2022; 32:5301-5310. [PMID: 35152289 DOI: 10.1093/cercor/bhac015] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 12/09/2021] [Accepted: 01/13/2022] [Indexed: 12/27/2022] Open
Abstract
Major depressive disorder (MDD) is a chronic and highly recurrent disorder. The functional connectivity in depression is affected by the cumulative effect of course of illness. However, previous neuroimaging studies on abnormal functional connection have not mainly focused on the disease duration, which is seen as a secondary factor. Here, we used a data-driven analysis (multivariate distance matrix regression) to examine the relationship between the course of illness and resting-state functional dysconnectivity in MDD. This method identified a region in the anterior cingulate cortex, which is most linked to course of illness. Specifically, follow-up seed analyses show this phenomenon resulted from the individual differences in the topological distribution of three networks. In individuals with short-duration MDD, the connection to the default mode network was strong. By contrast, individuals with long-duration MDD showed hyperconnectivity to the ventral attention network and the frontoparietal network. These results emphasized the centrality of the anterior cingulate cortex in the pathophysiology of the increased course of illness and implied critical links between network topography and pathological duration. Thus, dissociable patterns of connectivity of the anterior cingulate cortex is an important dimension feature of the disease process of depression.
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Affiliation(s)
- 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 611731, 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 611731, China
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu 611731, 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 611731, China
| | - Yuyan Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, 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 611731, China
| | - Chong Wang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Yunshuang Fan
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jing Guo
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - 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 611731, 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 611731, 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 611731, 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 611731, China
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Combined HTR1A/1B methylation and human functional connectome to recognize patients with MDD. Psychiatry Res 2022; 317:114842. [PMID: 36150307 DOI: 10.1016/j.psychres.2022.114842] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/22/2022] [Accepted: 09/09/2022] [Indexed: 01/04/2023]
Abstract
OBJECTIVES This study aimed to use a machine-learning method to identify HTR1A/1B methylation and resting-state functional connectivity (rsFC) related to the diagnosis of MDD, then try to build classification models for MDD diagnosis based on the identified features. METHODS Peripheral blood samples were collected from all recruited participants, and part of the participants underwent the resting-state fMRI scan. Features including HTR1A/1B methylation and rsFC were calculated. Then, the initial feature sets of epigenetics and neuroimaging were separately input into an all-relevant feature selection to generate significant discriminative power for MDD diagnosis. Random forest classifiers were constructed and evaluated based on identified features. In addition, the SHapley Additive exPlanations (SHAP) method was adapted to interpret the diagnostic model. RESULTS A combination of selected HTR1A/1B methylation and rsFC feature sets achieved better performance than using either one alone - a distinction between MDD and healthy control groups was achieved at 81.78% classification accuracy and 0.8948 AUC. CONCLUSION A high classification accuracy can be achieved by combining multidimensional information from epigenetics and cerebral radiomic features in MDD. Our approach can be helpful for accurate clinical diagnosis of MDD and further exploring the pathogenesis of MDD.
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Chen T, Huang J, Cui JF, Li Z, Wang Y, Irish M, Chan RCK. Functional Coupling between the Fronto-Parietal Network and Default Mode Network Is Associated with Balanced Time Perspective. Brain Sci 2022; 12:brainsci12091201. [PMID: 36138937 PMCID: PMC9496926 DOI: 10.3390/brainsci12091201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 08/27/2022] [Accepted: 09/02/2022] [Indexed: 11/16/2022] Open
Abstract
Balanced time perspective refers to the ability to flexibly switch between different temporal foci in an adaptive manner according to the current context. Functional connectivity within the default mode network (DMN) has been suggested to support balanced time perspective. The coupling between the DMN and fronto-parietal network (FPN) may drive many important expressions of internally directed cognition. However, it remains unclear whether balanced time perspective is supported by the interaction between the FPN and DMN. To examine these issues, we recruited 91 participants (52 males with mean age of 19.6, and 39 females with mean age of 20.0) to undergo resting-state brain imaging scan and to complete a questionnaire measuring balanced time perspective. Seed-based voxel-wise functional connectivity analyses implicated midline DMN regions including the anterior medial prefrontal cortex (amPFC) and posterior cingulate cortex (PCC) along with the anterior cingulate cortex (ACC), precuneus, and cerebellum in supporting a balanced time perspective. More importantly, functional connectivity between the right amPFC and right dorsal lateral prefrontal cortex (DLPFC) in the FPN was found to associate with balanced time perspective. Our findings suggest the importance of coordinated brain activity in supporting a balanced time perspective.
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Affiliation(s)
- Tao Chen
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 101408, China
- Brain and Mind Centre, The University of Sydney, Sydney 2006, Australia
- School of Psychology, The University of Sydney, Sydney 2006, Australia
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Ji-fang Cui
- Institute of Educational Information and Statistics, National Institute of Education Sciences, Beijing 100098, China
| | - Zhi Li
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Ya Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 101408, China
- Correspondence: or
| | - Muireann Irish
- Brain and Mind Centre, The University of Sydney, Sydney 2006, Australia
- School of Psychology, The University of Sydney, Sydney 2006, Australia
| | - Raymond C. K. Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 101408, China
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11
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BMRMI Reduces Depressive Rumination Possibly through Improving Abnormal FC of Dorsal ACC. Neural Plast 2022; 2022:8068988. [PMID: 35419051 PMCID: PMC9001100 DOI: 10.1155/2022/8068988] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 01/25/2022] [Accepted: 02/28/2022] [Indexed: 11/26/2022] Open
Abstract
Rumination is a common symptom of major depressive disorder (MDD) and has been characterized as a vulnerability factor for the onset or recurrence of MDD. However, the neurobiological mechanisms underlying rumination and appropriate treatment strategies remain unclear. In the current study, we used resting-state functional magnetic resonance imaging to investigate the effects of body-mind relaxation meditation induction (BMRMI) intervention in MDD with rumination. To this aim, we have recruited 25 MDD and 24 healthy controls (HCs). Changes in functional connectivity (FC) of the anterior cingulate cortex (ACC) subregion and the scores of clinical measurements were examined using correlation analysis. At baseline, MDD showed stronger FC between the right dorsal ACC (dACC) and right superior frontal gyrus than did the HC group. Compared to baseline, the HC group showed a significantly enhanced FC between the right dACC and right superior frontal gyrus, and the MDD group demonstrated a significantly weaker FC between the left dACC and right middle frontal gyrus (MFG) after the intervention. Furthermore, the FC between the right dACC and right superior frontal gyrus was positively associated with rumination scores across all participants at baseline. The above results indicate that BMRMI may regulate self-referential processing and cognitive function through modulating FC of the dACC in MDD with rumination.
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12
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Yan M, Chen J, Liu F, Li H, Zhao J, Guo W. Abnormal Default Mode Network Homogeneity in Major Depressive Disorder With Gastrointestinal Symptoms at Rest. Front Aging Neurosci 2022; 14:804621. [PMID: 35431887 PMCID: PMC9009333 DOI: 10.3389/fnagi.2022.804621] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 03/01/2022] [Indexed: 12/27/2022] Open
Abstract
Background Gastrointestinal (GI) symptoms are prominent in many patients with major depressive disorder (MDD). However, it remains unclear whether MDD patients with GI symptoms have brain imaging alterations in the default mode network (DMN) regions. Methods A total of 35 MDD patients with GI symptoms, 17 MDD patients without GI symptoms, and 28 healthy controls (HCs) were recruited. All participants underwent resting-state functional magnetic resonance imaging scans. Network homogeneity (NH) and support vector machine (SVM) methods were used to analyze the imaging data. Results Gastrointestinal group showed higher 17-item Hamilton Rating Scale for Depression total scores and factor scores than the non-GI group. Compared with the non-GI group and HCs, the GI group showed decreased NH in the right middle temporal gyrus (MTG) and increased NH in the right precuneus (PCu). The SVM results showed that a combination of NH values of the right PCu and the right MTG exhibited the highest accuracy of 88.46% (46/52) to discriminate MDD patients with GI symptoms from those without GI symptoms. Conclusion Major depressive disorder patients with GI symptoms have more severe depressive symptoms than those without GI symptoms. Distinctive NH patterns in the DMN exist in MDD patients with GI symptoms, which can be applied as a potential brain imaging marker to discriminate MDD patients with GI symptoms from those without GI symptoms.
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Affiliation(s)
- Meiqi Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Jindong Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Jingping Zhao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, China
- *Correspondence: Wenbin Guo,
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13
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Niu H, Li W, Wang G, Hu Q, Hao R, Li T, Zhang F, Cheng T. Performances of whole-brain dynamic and static functional connectivity fingerprinting in machine learning-based classification of major depressive disorder. Front Psychiatry 2022; 13:973921. [PMID: 35958666 PMCID: PMC9360427 DOI: 10.3389/fpsyt.2022.973921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 07/08/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Alterations in static and dynamic functional connectivity during resting state have been widely reported in major depressive disorder (MDD). The objective of this study was to compare the performances of whole-brain dynamic and static functional connectivity combined with machine learning approach in differentiating MDD patients from healthy controls at the individual subject level. Given the dynamic nature of brain activity, we hypothesized that dynamic connectivity would outperform static connectivity in the classification. METHODS Seventy-one MDD patients and seventy-one well-matched healthy controls underwent resting-state functional magnetic resonance imaging scans. Whole-brain dynamic and static functional connectivity patterns were calculated and utilized as classification features. Linear kernel support vector machine was employed to design the classifier and a leave-one-out cross-validation strategy was used to assess classifier performance. RESULTS Experimental results of dynamic functional connectivity-based classification showed that MDD patients could be discriminated from healthy controls with an excellent accuracy of 100% irrespective of whether or not global signal regression (GSR) was performed (permutation test with P < 0.0002). Brain regions with the most discriminating dynamic connectivity were mainly and reliably located within the default mode network, cerebellum, and subcortical network. In contrast, the static functional connectivity-based classifiers exhibited unstable classification performances, i.e., a low accuracy of 38.0% without GSR (P = 0.9926) while a high accuracy of 96.5% with GSR (P < 0.0002); moreover, there was a considerable variability in the distribution of brain regions with static connectivity most informative for classification. CONCLUSION These findings suggest the superiority of dynamic functional connectivity in machine learning-based classification of depression, which may be helpful for a better understanding of the neural basis of MDD as well as for the development of effective computer-aided diagnosis tools in clinical settings.
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Affiliation(s)
- Heng Niu
- Department of MRI, Shanxi Cardiovascular Hospital, Taiyuan, China
| | - Weirong Li
- Department of Neurology, Shanxi Cardiovascular Hospital, Taiyuan, China
| | - Guiquan Wang
- Department of Neurology, Shanxi Cardiovascular Hospital, Taiyuan, China
| | - Qiong Hu
- Department of Neurology, Shanxi Cardiovascular Hospital, Taiyuan, China
| | - Rui Hao
- Department of Neurology, Shanxi Cardiovascular Hospital, Taiyuan, China
| | - Tianliang Li
- Department of Ultrasound, Shanxi Cardiovascular Hospital, Taiyuan, China
| | - Fan Zhang
- Department of Medical Imaging, Shanxi Traditional Chinese Medical Hospital, Taiyuan, China
| | - Tao Cheng
- Department of Neurology, Shanxi Cardiovascular Hospital, Taiyuan, China
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14
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Wen M, Dong Z, Zhang L, Li B, Zhang Y, Li K. Depression and Cognitive Impairment: Current Understanding of Its Neurobiology and Diagnosis. Neuropsychiatr Dis Treat 2022; 18:2783-2794. [PMID: 36471744 PMCID: PMC9719265 DOI: 10.2147/ndt.s383093] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/15/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Eye movement is critical for obtaining precise visual information and providing sensorimotor processes and advanced cognitive functions to the brain behavioral indicator. METHODS In this article, we present a narrative review of the eye-movement paradigms (such as fixation, smooth pursuit eye movements, and memory-guided saccade tasks) in major depression. RESULTS Characteristics of eye movement are considered to reflect several aspects of cognitive deficits regarded as an aid to diagnosis. Findings regarding depressive disorders showed differences from the healthy population in paradigms, the characteristics of eye movement may reflect cognitive deficits in depression. Neuroimaging studies have demonstrated the effectiveness of different eye movement paradigms for MDD screening. CONCLUSION Depression can be distinguished from other mental illnesses based on eye movements. Eye movement reflects cognitive deficits that can help diagnose depression, and it can make the entire diagnostic process more accurate.
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Affiliation(s)
- Min Wen
- School of Psychology and Mental Health, North China University of Science and Technology, Tangshan, People's Republic of China.,Hebei Provincial Mental Health Center, Baoding, People's Republic of China.,Hebei Provincial Key Laboratory of Major Mental and Behavioral Disorders, Baoding, People's Republic of China
| | - Zhen Dong
- Hebei Provincial Mental Health Center, Baoding, People's Republic of China
| | - Lili Zhang
- Hebei Provincial Mental Health Center, Baoding, People's Republic of China
| | - Bing Li
- Hebei Provincial Mental Health Center, Baoding, People's Republic of China.,Hebei Provincial Key Laboratory of Major Mental and Behavioral Disorders, Baoding, People's Republic of China
| | - Yunshu Zhang
- Hebei Provincial Mental Health Center, Baoding, People's Republic of China.,Hebei Provincial Key Laboratory of Major Mental and Behavioral Disorders, Baoding, People's Republic of China
| | - Keqing Li
- Hebei Provincial Mental Health Center, Baoding, People's Republic of China.,Hebei Provincial Key Laboratory of Major Mental and Behavioral Disorders, Baoding, People's Republic of China
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15
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Yi C, Chen C, Jiang L, Tao Q, Li F, Si Y, Zhang T, Yao D, Xu P. Constructing EEG Large-Scale Cortical Functional Network Connectivity Based on Brain Atlas by S Estimator. IEEE Trans Cogn Dev Syst 2021. [DOI: 10.1109/tcds.2020.2991414] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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16
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Depping MS, Schmitgen MM, Bach C, Listunova L, Kienzle J, Kubera KM, Roesch-Ely D, Wolf RC. Abnormal Cerebellar Volume in Patients with Remitted Major Depression with Persistent Cognitive Deficits. THE CEREBELLUM 2021; 19:762-770. [PMID: 32642931 PMCID: PMC8214579 DOI: 10.1007/s12311-020-01157-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Cerebellar involvement in major depressive disorder (MDD) has been demonstrated by a growing number of studies, but it is unknown whether cognitive functioning in depressed individuals is related to cerebellar gray matter volume (GMV) abnormalities. Impaired attention and executive dysfunction are characteristic cognitive deficits in MDD, and critically, they often persist despite remission of mood symptoms. In this study, we investigated cerebellar GMV in patients with remitted MDD (rMDD) that showed persistent cognitive impairment. We applied cerebellum-optimized voxel-based morphometry in 37 patients with rMDD and with cognitive deficits, in 12 patients with rMDD and without cognitive deficits, and in 36 healthy controls (HC). Compared with HC, rMDD patients with cognitive deficits had lower GMV in left area VIIA, crus II, and in vermal area VIIB. In patients with rMDD, regression analyses demonstrated significant associations between GMV reductions in both regions and impaired attention and executive dysfunction. Compared with HC, patients without cognitive deficits showed increased GMV in bilateral area VIIIB. This study supports cerebellar contributions to the cognitive dimension of MDD. The data also point towards cerebellar area VII as a potential target for non-invasive brain stimulation to treat cognitive deficits related to MDD.
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Affiliation(s)
- Malte S Depping
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Vossstr. 4, 69115, Heidelberg, Germany
| | - Mike M Schmitgen
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Vossstr. 4, 69115, Heidelberg, Germany
| | - Claudia Bach
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Vossstr. 4, 69115, Heidelberg, Germany
| | - Lena Listunova
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Vossstr. 4, 69115, Heidelberg, Germany
| | - Johanna Kienzle
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Vossstr. 4, 69115, Heidelberg, Germany
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Vossstr. 4, 69115, Heidelberg, Germany
| | - Daniela Roesch-Ely
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Vossstr. 4, 69115, Heidelberg, Germany
| | - R Christian Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Vossstr. 4, 69115, Heidelberg, Germany.
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17
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Yu R, Tan H, Peng G, Du L, Wang P, Zhang Z, Lyu F. Anomalous functional connectivity within the default-mode network in treatment-naive patients possessing first-episode major depressive disorder. Medicine (Baltimore) 2021; 100:e26281. [PMID: 34115028 PMCID: PMC8202596 DOI: 10.1097/md.0000000000026281] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 05/21/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Previous studies have shown that the default-mode network (DMN) has a substantial role in patients with major depressive disorder (MDD). However, there is a shortage of information regarding variations in the functional connectivity (FC) of the DMN of treatment-naive patients with first-episode MDD. The present study aims to explore the FC of the DMN in such patients. METHODS The study population consisted of 33 patients and 35 controls, paired regarding age, gender, education level, and health condition. Depression severity was assessed through the Hamilton Depression Scale (HAM-D), and subjects underwent evaluation during the resting-state through functional magnetic resonance imaging (rs-fMRI). To assess the result, we used FC and ICA. We used Spearman's correlation test to detect potential correlations between anomalous FC and severity of HAM-D scores. RESULTS We have found a decreased FC in the left medial orbitofrontal gyrus (MOFG) and right marginal gyrus (SMG) in depressive patients compared to controls. There was a negative correlation between abnormal FC in the right SMG and HAM-D scores. We have not found any increase in FC of the DMN in treatment-naive, first-episode of MDD patients. CONCLUSIONS Our study provided evidence of a negative correlation between abnormal FC in the DMN and severity of depression symptoms measured by HAM-D in treatment-naive MDD patients. This finding could shed some light on the relevance of DMN for understanding the pathophysiology of cognitive impairment in MDD.
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Affiliation(s)
| | | | | | - Lian Du
- Department of Psychiatry, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Peijia Wang
- Department of Psychiatry, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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18
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Kim HJ, Lee JH, Cheong EN, Chung SE, Jo S, Shim WH, Hong YJ. Elucidating the Risk Factors for Progression from Amyloid-Negative Amnestic Mild Cognitive Impairment to Dementia. Curr Alzheimer Res 2021; 17:893-903. [PMID: 33256581 DOI: 10.2174/1567205017666201130094259] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 10/07/2020] [Accepted: 11/24/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Amyloid PET allows for the assessment of amyloid β status in the brain, distinguishing true Alzheimer's disease from Alzheimer's disease-mimicking conditions. Around 15-20% of patients with clinically probable Alzheimer's disease have been found to have no significant Alzheimer's pathology on amyloid PET. However, a limited number of studies had been conducted on this subpopulation in terms of clinical progression. OBJECTIVE We investigated the risk factors that could affect the progression to dementia in patients with amyloid-negative amnestic mild cognitive impairment (MCI). METHODS This study was a single-institutional, retrospective cohort study of patients over the age of 50 with amyloid-negative amnestic MCI who visited the memory clinic of Asan Medical Center with a follow-up period of more than 36 months. All participants underwent brain magnetic resonance imaging (MRI), detailed neuropsychological testing, and fluorine-18[F18]-florbetaben amyloid PET. RESULTS During the follow-up period, 39 of 107 patients progressed to dementia from amnestic MCI. In comparison with the stationary group, the progressed group had a more severe impairment in verbal and visual episodic memory function and hippocampal atrophy, which showed an Alzheimer's diseaselike pattern despite the lack of evidence for significant Alzheimer's disease pathology. Voxel-based morphometric MRI analysis revealed that the progressed group had a reduced gray matter volume in the bilateral cerebellar cortices, right temporal cortex, and bilateral insular cortices. CONCLUSION Considering the lack of evidence of amyloid pathology, clinical progression of these subpopulation may be caused by other neuropathologies such as TDP-43, abnormal tau or alpha synuclein that lead to neurodegeneration independent of amyloid-driven pathway. Further prospective studies incorporating biomarkers of Alzheimer's disease-mimicking dementia are warranted.
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Affiliation(s)
- Hyung-Ji Kim
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jae-Hong Lee
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - E-Nae Cheong
- Health Innovation Big Data Center, Asan Institute for Life Sciences, Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Sung-Eun Chung
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Sungyang Jo
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Woo-Hyun Shim
- Health Innovation Big Data Center, Asan Institute for Life Sciences, Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Yun J Hong
- Department of Neurology, The Catholic University of Korea, Uijeongbu St. Mary's Hospital, Uijeongbu, Korea
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19
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Increased cerebellar-default-mode network connectivity at rest in obsessive-compulsive disorder. Eur Arch Psychiatry Clin Neurosci 2020; 270:1015-1024. [PMID: 31570980 DOI: 10.1007/s00406-019-01070-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 09/18/2019] [Indexed: 12/20/2022]
Abstract
Abnormalities of the cerebellum and default-mode network (DMN) in patients with obsessive-compulsive disorder (OCD) have been widely reported. However, alterations of reciprocal functional connections between the cerebellum and DMN at rest in OCD remain unclear. Forty patients with OCD and 38 gender-, age-, and education-matched healthy controls (HCs) underwent resting-state functional magnetic resonance imaging scan. Seed-based functional connectivity (FC) and support vector machine (SVM) were applied to analyze the imaging data. Compared with HCs, patients with OCD exhibited increased FCs between the left Crus I-left superior medial prefrontal cortex (MPFC) and between the right Crus I-left superior MPFC, left middle MPFC, and left middle temporal gyrus (MTG). A significantly negative correlation was observed between the right Crus I-left MTG connectivity and the Yale-Brown Obsessive-Compulsive Scale compulsion subscale scores in the OCD group (r = - 0.476, p = 0.002, Bonferroni corrected). SVM classification analysis indicated that a combination of the left Crus I-left superior MPFC connectivity and the right Crus I-left middle MPFC connectivity can be used to discriminate patients with OCD from HCs with a sensitivity of 85.00%, specificity of 68.42%, and accuracy of 76.92%. Our study highlights the contribution of the cerebellar-DMN connectivity in OCD pathophysiology and provides new findings to OCD research.
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20
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Cerebellar-cerebral dynamic functional connectivity alterations in major depressive disorder. J Affect Disord 2020; 275:319-328. [PMID: 32734925 DOI: 10.1016/j.jad.2020.06.062] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Revised: 05/14/2020] [Accepted: 06/14/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND The cerebellum plays an important role in the neural mechanism of depression and its static functional connectivity (FC) with the cerebrum is disrupted in patients with major depressive disorder (MDD). However, cerebellar-cerebral dynamic FC alterations in MDD remain largely unknown. METHODS 50 patients with MDD and 36 well-matched healthy controls underwent resting-state functional magnetic resonance imaging. Cerebellar-cerebral dynamic FC analyses were performed using the cerebellar seeds previously identified as being involved in the executive, default-mode, affective-limbic, and motor networks. Inter-group differences in the cerebellar dynamic FC and their associations with clinical and cognitive variables were examined. RESULTS Compared to healthy controls, patients with MDD had decreased cerebellar-cerebral dynamic FC of the cerebellar subregions connecting with the executive, default-mode and affective-limbic networks. The dynamic FC of the cerebellar subregion connecting with the affective-limbic network was related to severity of depression and anxiety symptoms in MDD patients. The dynamic FC of the cerebellar subregions connecting with the default-mode and affective-limbic networks were related to sustained attention and prospective memory in controls, while the correlations were inverse or non-significant in patients. LIMITATIONS The fairly modest sample size and potential medication effect may increase the instability of the results. CONCLUSIONS Our findings provide further evidence for the pivotal role of the cerebellum in the neuropathology of depression, pointing to potential targets of cerebellar-cerebral pathways for alternative intervention or monitoring therapeutic responses.
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21
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Xu Z, Wang J, Lyu H, Wang R, Hu Y, Guo Z, Xu J, Hu Q. Alterations of White Matter Microstructure in Subcortical Vascular Mild Cognitive Impairment with and without Depressive Symptoms. J Alzheimers Dis 2020; 73:1565-1573. [PMID: 31958086 DOI: 10.3233/jad-190890] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Ziyun Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jianjun Wang
- Department of Neurology and Psychiatry, Shenzhen Traditional Chinese Medicine Hospital / the Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China
| | - Hanqing Lyu
- Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital / the Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China
| | - Runshi Wang
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuanming Hu
- Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital / the Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China
| | - Zhouke Guo
- Department of Neurology and Psychiatry, Shenzhen Traditional Chinese Medicine Hospital / the Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China
| | - Jinping Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Qingmao Hu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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22
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Ing A, Sämann PG, Chu C, Tay N, Biondo F, Robert G, Jia T, Wolfers T, Desrivières S, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Conrod P, Fadai T, Flor H, Frouin V, Garavan H, Spechler PA, Gowland P, Grimmer Y, Heinz A, Ittermann B, Kappel V, Martinot JL, Meyer-Lindenberg A, Millenet S, Nees F, van Noort B, Orfanos DP, Martinot MLP, Penttilä J, Poustka L, Quinlan EB, Smolka MN, Stringaris A, Struve M, Veer IM, Walter H, Whelan R, Andreassen OA, Agartz I, Lemaitre H, Barker ED, Ashburner J, Binder E, Buitelaar J, Marquand A, Robbins TW, Schumann G. Identification of neurobehavioural symptom groups based on shared brain mechanisms. Nat Hum Behav 2019; 3:1306-1318. [PMID: 31591521 DOI: 10.1038/s41562-019-0738-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 08/22/2019] [Indexed: 12/31/2022]
Abstract
Most psychopathological disorders develop in adolescence. The biological basis for this development is poorly understood. To enhance diagnostic characterization and develop improved targeted interventions, it is critical to identify behavioural symptom groups that share neural substrates. We ran analyses to find relationships between behavioural symptoms and neuroimaging measures of brain structure and function in adolescence. We found two symptom groups, consisting of anxiety/depression and executive dysfunction symptoms, respectively, that correlated with distinct sets of brain regions and inter-regional connections, measured by structural and functional neuroimaging modalities. We found that the neural correlates of these symptom groups were present before behavioural symptoms had developed. These neural correlates showed case-control differences in corresponding psychiatric disorders, depression and attention deficit hyperactivity disorder in independent clinical samples. By characterizing behavioural symptom groups based on shared neural mechanisms, our results provide a framework for developing a classification system for psychiatric illness that is based on quantitative neurobehavioural measures.
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Affiliation(s)
- Alex Ing
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Philipp G Sämann
- Neuroimaging, Max Planck Institute of Psychiatry, Munich, Germany
| | - Congying Chu
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Nicole Tay
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Francesca Biondo
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Gabriel Robert
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- Behaviour and Basal Ganglia Research Unit, University of Rennes, Rennes, France
| | - Tianye Jia
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Thomas Wolfers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Njmegen, The Netherlands
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Uli Bromberg
- Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Büchel
- Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Patricia Conrod
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience King's College London, London, UK
- Department of Psychiatry, CHU Ste Justine Hospital, Université de Montréal, Montreal, Quebec, Canada
| | - Tahmine Fadai
- Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Vincent Frouin
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Philip A Spechler
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Yvonne Grimmer
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Bernd Ittermann
- Biomedical Magnetic Resonance, Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany
| | - Viola Kappel
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Charité, Humboldt University, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 Neuroimaging & Psychiatry, University Paris Saclay, University Paris Descartes; DIgiteo-Labs, Gif-sur-Yvette; and Maison de Solenn, Paris, France
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Betteke van Noort
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Charité, Humboldt University, Berlin, Germany
| | | | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 Neuroimaging & Psychiatry, University Paris Saclay, University Paris Descartes; DIgiteo-Labs, Gif-sur-Yvette, France
- AP-HP.Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Jani Penttilä
- Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic, Lahti, Finland
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - Erin Burke Quinlan
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Centre, Technische Universität Dresden, Dresden, Germany
| | - Argyris Stringaris
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Mood Brain and Development Unit, National Institute of Mental Health/NIH, Bethesda, MD, USA
| | - Maren Struve
- Department of Psychiatry and Neuroimaging Centre, Technische Universität Dresden, Dresden, Germany
| | - Ilya M Veer
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Ole A Andreassen
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | - Hervé Lemaitre
- Institut National de la Santé et de la Recherche Médicale, UMR 992 INSERM, CEA, Faculté de médecine, Université Paris-Sud, Université Paris-Saclay, NeuroSpin, Gif-sur-Yvette, France
| | - Edward D Barker
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - John Ashburner
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, University College London, London, UK
| | - Elisabeth Binder
- Neuroimaging, Max Planck Institute of Psychiatry, Munich, Germany
| | - Jan Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Njmegen, The Netherlands
| | - Andre Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Njmegen, The Netherlands
| | - Trevor W Robbins
- Department of Psychology and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.
- PONS Research Group, Department of Psychiatry and Psychotherapy, Campus Charite Mitte, Humboldt University, Berlin and Leibniz Institute for Neurobiology, Magdeburg, Germany.
- PONS Research Group, Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
- PONS Research Group, Dept. of Psychiatry and Psychotherapy, Campus Charite Mitte, Humboldt University, Berlin, Germany.
- PONS Research Group, Leibniz Institute for Neurobiology, Magdeburg, Germany.
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23
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Wang D, Yao Q, Yu M, Xiao C, Fan L, Lin X, Zhu D, Tian M, Shi J. Topological Disruption of Structural Brain Networks in Patients With Cognitive Impairment Following Cerebellar Infarction. Front Neurol 2019; 10:759. [PMID: 31379713 PMCID: PMC6659410 DOI: 10.3389/fneur.2019.00759] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 07/01/2019] [Indexed: 11/13/2022] Open
Abstract
Cerebellar lesions can lead to a series of cognitive and emotional disorders by influencing cerebral activity via cerebro-cerebellar loops. To explore changes in cognitive function and structural brain networks in patients with posterior cerebellar infarction, we conducted the current study using diffusion-weighted MRI (32 cerebellar infarction patients, 29 controls). Moreover, a series of neuropsychological tests were used to assess the subject's cognitive performance. We found cognitive impairment following cerebellar infarction involving multiple cognitive domains, including memory, executive functions, visuospatial abilities, processing speed and language functions, and brain topological abnormalities, including changes in clustering coefficients, shortest path lengths, global efficiency, local efficiencies, betweenness centrality and nodal efficiencies. Our results indicated that measures of local efficiency, mainly in the precuneus, cingulate gyrus and frontal-temporal cortex, were significantly reduced with posterior cerebellar infarction. At the same time, The correlation analysis suggested thatthe abnormal alterations in the right PCG, bilateral DCG, right PCUN may play a core role in the cognitive impairment following cerebellar infarctions. The differences in topological features of the structural brain networks within the cerebro-cerebellar circuits may provide a new approach to explore the pathophysiological mechanisms of cognitive impairment following cerebellar infarction.
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Affiliation(s)
- Duohao Wang
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Qun Yao
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Miao Yu
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chaoyong Xiao
- Department of Radiology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Lin Fan
- Department of Neurology, Taizhou People's Hospital, Taizhou, China
| | - Xingjian Lin
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Donglin Zhu
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Minjie Tian
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jingping Shi
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Lee J, Pavuluri MN, Kim JH, Suh S, Kim I, Lee MS. Resting-state functional connectivity in medication-naïve adolescents with major depressive disorder. Psychiatry Res Neuroimaging 2019; 288:37-43. [PMID: 31071543 DOI: 10.1016/j.pscychresns.2019.04.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2019] [Revised: 04/22/2019] [Accepted: 04/28/2019] [Indexed: 02/06/2023]
Abstract
Adolescence is a vulnerable period for major depressive disorder (MDD). The aim of our study was to investigate resting-state functional connectivity (RSFC) in first-episode, medication-naïve adolescent MDD patients. Twenty-three drug-naïve adolescents diagnosed with first-episode MDD and 27 healthy participants were enrolled. Seed-to-voxel RSFC analyses were performed. The frontolimbic circuit regions of interest included the amygdala, anterior cingulate cortex, insula, and hippocampus. A correlation analysis between the RSFC and Children's Depression Inventory, Hamilton depression rating scale, and duration of episodes was performed. The adolescents with MDD exhibited the following characteristics: a lower RSFC between the right amygdala and right superior frontal gyrus; a lower RSFC between the right hippocampus and clusters including the right insula and right middle frontal gyrus; a higher RSFC between the left insula and clusters including the bilateral middle frontal gyrus, right superior frontal gyrus, and right frontal pole; and a higher RSFC between the left dorsal anterior cingulate cortex and a cluster including the left insula. Medication-naïve adolescents with depression display lower connectivity of several brain regions implicated in processing, regulation, and memory of emotions. Higher connectivity was observed in brain regions that potentially explain rumination, impaired concentration, and physiological arousal.
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Affiliation(s)
- Jeonho Lee
- Department of Child and Adolescent Psychiatry, Korea University Guro Hospital, 148, Gurodong-ro, Guro-gu, Seoul, Republic of Korea
| | | | - Ji Hyun Kim
- Department of Neurology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Sangil Suh
- Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Inseong Kim
- Siemens Health Care, Seoul, Republic of Korea
| | - Moon-Soo Lee
- Department of Child and Adolescent Psychiatry, Korea University Guro Hospital, 148, Gurodong-ro, Guro-gu, Seoul, Republic of Korea.
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25
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Chen G, Zhao L, Jia Y, Zhong S, Chen F, Luo X, Qiu S, Lai S, Qi Z, Huang L, Wang Y. Abnormal cerebellum-DMN regions connectivity in unmedicated bipolar II disorder. J Affect Disord 2019; 243:441-447. [PMID: 30273882 DOI: 10.1016/j.jad.2018.09.076] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2018] [Revised: 08/29/2018] [Accepted: 09/20/2018] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Bipolar disorder (BD) is a common psychiatric disease. Previous studies have found abnormalities in structural and functional brain connectivity in BD patients. However, few studies have focused on the functional connectivity (FC) of the cerebellum and its sub-regions in patients with BD. The present study aimed to examine the FC of cerebellum-default mode network (DMN) regions in patients with BD II. METHOD Ninety patients with unmedicated BD II depression and 100 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging. We selected three pairs of subregions of the cerebellum that are DMN-related (the bilateral Crus I, Crus II, and lobule IX) as seed regions and calculated the whole brain FC for each subregion. RESULTS Compared with the HCs, the patients with BD II depression showed increased connectivity between the right Crus I and bilateral precuneus and decreased connectivity between the left Crus II and bilateral medial prefrontal cortex (mPFC) and between the left Crus II and right medial frontal gyrus (MFG). There was no significant difference in the whole FC of the left Crus I and bilateral lobule IX between the BD II depression group and the HCs group. LIMITATIONS This study was cross-sectional and did not examine data from euthymic BD patients. CONCLUSIONS The findings showed impaired FC of cerebellum-DMN regions in BD; partial FC between the Crus I and precuneus and the Crus II and prefrontal cortex suggests the importance of abnormal cerebellum-DMN regions FC in the pathophysiology of BD.
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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
| | - Lianping Zhao
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Department of Radiology, Gansu Provincial Hospital, Gansu 730000, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Xiaomei Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Shaojuan Qiu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, 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
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, 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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26
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Wang Y, Chen G, Zhong S, Jia Y, Xia L, Lai S, Zhao L, Huang L, Liu T. Association between resting-state brain functional connectivity and cortisol levels in unmedicated major depressive disorder. J Psychiatr Res 2018; 105:55-62. [PMID: 30189325 DOI: 10.1016/j.jpsychires.2018.08.025] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 08/30/2018] [Accepted: 08/31/2018] [Indexed: 01/10/2023]
Abstract
Disturbed hypothalamus-pituitary-adrenal axis function, which leads to excessive and prolonged hypercortisolemia, is a core feature of major depressive disorder (MDD). However, the relationships between depression, brain structure and function, and cortisol levels are unclear. The current study examined the whole-brain functional connectivity pattern of patients with MDD and evaluated the association between functional connectivity and serum cortisol levels in MDD. A total of 93 unmedicated patients with MDD and 139 healthy control subjects underwent resting-state functional magnetic resonance imaging. Voxel-wise whole-brain connectivity was analyzed by using a graph theory approach: functional connectivity strength (FCS). A seed-based resting-state functional connectivity analysis was further performed to investigate abnormal functional connectivity patterns of those regions with changed FCS. Morning blood samples were drawn for cortisol measurements in some subjects (including 53 MDD patients and 30 controls). The MDD patients had a significantly lower FCS in the left posterior lobes of the cerebellum (mainly lobule Crus II) (p < 0.05, TFCE corrected). The seed-based functional connectivity analysis revealed decreased functional connectivity between the left posterior cerebellum and the left medial orbitofrontal cortex (OFC) (p < 0.05, TFCE corrected). Moreover, the functional connectivity between the left posterior cerebellum and the left medial OFC were significantly positively correlated with the serum cortisol levels in MDD patients. Our results suggest that cerebellar dysconnectivity, in particular distributed cerebellar-OFC functional connectivity, may be associated with serum cortisol levels in MDD patients.
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Affiliation(s)
- 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.
| | - Guanmao Chen
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Liu Xia
- Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital, Shenzhen, 518003, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Lianping Zhao
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Tiebang Liu
- Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital, Shenzhen, 518003, China.
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27
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Ma X, Su W, Li S, Li C, Wang R, Chen M, Chen H. Cerebellar atrophy in different subtypes of Parkinson's disease. J Neurol Sci 2018; 392:105-112. [PMID: 30036781 DOI: 10.1016/j.jns.2018.06.027] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 06/27/2018] [Accepted: 06/28/2018] [Indexed: 01/20/2023]
Abstract
BACKGROUND To investigate, using Magnetic Resonance Imaging (MRI) and voxel-based morphometry (VBM), morphometric changes of cerebellum in Parkinson's disease with different motor and affective subtypes. METHODS Fifty-four patients with idiopathic Parkinson's disease (PD) were classified into tremor-predominant-PD (PDT) (n = 37) and akinetic/rigidity-predominant-PD (PDAR) (n = 17). Moreover, PD groups were divided into four affective subtypes, including depressive but not anxious PD (dPD, n = 5), anxious but not depressive PD (aPD, n = 8), comorbid depressive and anxious PD (coPD, n = 8), and PD patients without depressive or anxious symptoms (nPD, n = 33). They were additionally compared at a group level with thirty-nine normal controls (NCs). An analysis of covariance followed by post hoc tests was performed to examine the alterations of cerebellar grey matter volume (GMV) in different groups of PD. RESULTS Compared with NCs, PD showed grey matter (GM) atrophy in the right Crus II, pyramis, culmen, the right lobules IV, and V, and the left lobule VI. PDT, PDAR and NCs did not differ in the volume of the cerebellum. Relative to nPD group, dPD group exhibited GMV reduction in the left Crus I, while aPD group showed GMV reduction in the tonsil and the right lobule VIII. The GM atrophy was also found in the coPD group compared to NCs, including the tonsil, the left lobule VIII, the right lobule VI, the left Crus I, and vermis IV, and V. There was a significant negative correlation between the Hamilton Rating Scale for Depression (HAMD) score and the right lobule IX volume, and a significant negative correlation between the Hamilton Rating Scale for Anxiety (HAMA) score and the right lobule VIII volume. CONCLUSIONS These findings suggest that cerebellar changes are involved in PD. It also supports a possible role of the cerebellum in the depressive and anxious symptoms in PD.
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Affiliation(s)
- Xinxin Ma
- Department of Neurology, Beijing Hospital, National Center of Gerontology, No. 1 Da-Hua Road, Dong Dan, Beijing 100730, China
| | - Wen Su
- Department of Neurology, Beijing Hospital, National Center of Gerontology, No. 1 Da-Hua Road, Dong Dan, Beijing 100730, China
| | - Shuhua Li
- Department of Neurology, Beijing Hospital, National Center of Gerontology, No. 1 Da-Hua Road, Dong Dan, Beijing 100730, China
| | - Chunmei Li
- Department of Radiology, Beijing Hospital, National Center of Gerontology, No. 1 Da-Hua Road, Dong Dan, Beijing 100730, China
| | - Rui Wang
- Department of Radiology, Beijing Hospital, National Center of Gerontology, No. 1 Da-Hua Road, Dong Dan, Beijing 100730, China
| | - Min Chen
- Department of Radiology, Beijing Hospital, National Center of Gerontology, No. 1 Da-Hua Road, Dong Dan, Beijing 100730, China
| | - Haibo Chen
- Department of Neurology, Beijing Hospital, National Center of Gerontology, No. 1 Da-Hua Road, Dong Dan, Beijing 100730, China.
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28
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Guo W, Zhang F, Liu F, Chen J, Wu R, Chen DQ, Zhang Z, Zhai J, Zhao J. Cerebellar abnormalities in first-episode, drug-naive schizophrenia at rest. Psychiatry Res Neuroimaging 2018; 276:73-79. [PMID: 29628269 DOI: 10.1016/j.pscychresns.2018.03.010] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 03/01/2018] [Accepted: 03/21/2018] [Indexed: 10/17/2022]
Abstract
The cerebellum plays a crucial role in higher cortical functions through a cerebellar-cerebral circuit. However, the specific mechanisms through which the cerebellum contributes to the neurobiology of schizophrenia remain unclear. Forty-nine first-episode, drug-naive patients with schizophrenia and 50 healthy controls underwent structural and resting-state functional magnetic resonance imaging (rs-fMRI). The MRI data were analyzed using voxel-based morphometry, amplitude of low-frequency fluctuations (ALFF), cerebellum homogeneity (CH), and seed-based functional connectivity (FC). Patients with schizophrenia did not have anatomical and CH alterations in the cerebellum compared with healthy controls. However, they exhibited decreased ALFF in the right Crus I and abnormal cerebellar FC with brain regions within the dorsal attention network, default-mode network, and ventral attention network. The findings indicate that cerebellar abnormalities in first-episode schizophrenia are mainly in the cerebellar-cerebral connectivities, which may contribute to the neurobiology of schizophrenia.
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Affiliation(s)
- Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Fengyu Zhang
- The Global Clinical and Translational Research Institute, Bethesda, MD, USA
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jindong Chen
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Renrong Wu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Danny Q Chen
- The Lieber Institute for Brain Development at Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Zhikun Zhang
- Mental Health Center of the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - Jinguo Zhai
- School of Mental Health, Jining Medical University, Jining, Shandong, China
| | - Jingping Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
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Precuneus-related regional and network functional deficits in social anxiety disorder: A resting-state functional MRI study. Compr Psychiatry 2018; 82:22-29. [PMID: 29367059 DOI: 10.1016/j.comppsych.2017.12.002] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 11/05/2017] [Accepted: 12/10/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Neuroimaging findings suggest that social anxiety disorder (SAD) may be correlated with changes in regional- or network-level brain function. However, few studies have explored alterations in intrinsic resting cerebral function in patients with SAD at both the regional and network levels, particularly focusing on the theory of mind (ToM)-related regions. This study was performed to investigate changes in neural activity and functional connectivity (FC) in ToM-related regions during the resting state in SAD patients and to determine how these alterations are correlated with the clinical symptoms of SAD. METHODS Forty-three SAD patients and 43 matched healthy controls underwent resting-state functional magnetic resonance imaging (rsfMRI) scans. First, the amplitude of low-frequency fluctuation (ALFF) approach was used to explore regional activity. Then, the ToM-related region, i.e., the left precuneus, which showed altered ALFF values, was adopted as a seed for further FC analyses to assess network-level alterations in SAD. Between-group differences were compared using voxel-based two-sample t-tests (P<0.05, with Gaussian random field correction). Pearson's correlation analyses were performed to examine relationships between alterations in ALFF and FC and clinical symptoms. RESULTS Compared with the healthy controls, SAD patients showed decreased ALFF in the bilateral putamen (PUT) and left supplementary motor area (SMA) and increased ALFF in the right inferior parietal lobule (IPL), left precuneus and right cerebellar posterior lobe. Moreover, SAD patients exhibited lower connectivity between the left precuneus and the cerebellar posterior lobe, right inferior temporal gyrus (ITG), right parahippocampal gyrus (PHG) and left medial prefrontal cortex (mPFC). The altered ALFF values in the left precuneus and the hypoconnectivity between the left precuneus and left cerebellar posterior lobe were correlated with the patients' clinical symptoms (P<0.05). CONCLUSION The precuneus, a ToM-related region, was altered at both the regional and network level in patients with SAD. Pathological fear and avoidance in SAD were correlated with abnormal regional function in the precuneus, whereas depression and anxiety were primarily correlated with functional deficits in the precuneus-related network. The altered FC within the precuneus-cerebellar region may reflect an imbalance in the neuromodulation of anxiety and depressive symptoms in SAD. These findings may facilitate a greater understanding of potential SAD neural substrates and could be used to identify potential targets for further treatment.
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Geng X, Xu J, Liu B, Shi Y. Multivariate Classification of Major Depressive Disorder Using the Effective Connectivity and Functional Connectivity. Front Neurosci 2018; 12:38. [PMID: 29515348 PMCID: PMC5825897 DOI: 10.3389/fnins.2018.00038] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 01/16/2018] [Indexed: 12/29/2022] Open
Abstract
Major depressive disorder (MDD) is a mental disorder characterized by at least 2 weeks of low mood, which is present across most situations. Diagnosis of MDD using rest-state functional magnetic resonance imaging (fMRI) data faces many challenges due to the high dimensionality, small samples, noisy and individual variability. To our best knowledge, no studies aim at classification with effective connectivity and functional connectivity measures between MDD patients and healthy controls. In this study, we performed a data-driving classification analysis using the whole brain connectivity measures which included the functional connectivity from two brain templates and effective connectivity measures created by the default mode network (DMN), dorsal attention network (DAN), frontal-parietal network (FPN), and silence network (SN). Effective connectivity measures were extracted using spectral Dynamic Causal Modeling (spDCM) and transformed into a vectorial feature space. Linear Support Vector Machine (linear SVM), non-linear SVM, k-Nearest Neighbor (KNN), and Logistic Regression (LR) were used as the classifiers to identify the differences between MDD patients and healthy controls. Our results showed that the highest accuracy achieved 91.67% (p < 0.0001) when using 19 effective connections and 89.36% when using 6,650 functional connections. The functional connections with high discriminative power were mainly located within or across the whole brain resting-state networks while the discriminative effective connections located in several specific regions, such as posterior cingulate cortex (PCC), ventromedial prefrontal cortex (vmPFC), dorsal cingulate cortex (dACC), and inferior parietal lobes (IPL). To further compare the discriminative power of functional connections and effective connections, a classification analysis only using the functional connections from those four networks was conducted and the highest accuracy achieved 78.33% (p < 0.0001). Our study demonstrated that the effective connectivity measures might play a more important role than functional connectivity in exploring the alterations between patients and health controls and afford a better mechanistic interpretability. Moreover, our results showed a diagnostic potential of the effective connectivity for the diagnosis of MDD patients with high accuracies allowing for earlier prevention or intervention.
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Affiliation(s)
- Xiangfei Geng
- Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin, China
| | - Junhai Xu
- Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin, China
- Laboratory of Neural Imaging, Keck School of Medicine, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States
| | - Baolin Liu
- Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin, China
- State Key Laboratory of Intelligent Technology and Systems, National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
| | - Yonggang Shi
- Laboratory of Neural Imaging, Keck School of Medicine, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States
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31
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Depping MS, Schmitgen MM, Kubera KM, Wolf RC. Cerebellar Contributions to Major Depression. Front Psychiatry 2018; 9:634. [PMID: 30555360 PMCID: PMC6281716 DOI: 10.3389/fpsyt.2018.00634] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 11/08/2018] [Indexed: 12/17/2022] Open
Abstract
Extending beyond the motor domain, the cerebellum is involved in various aspects of cognition and affect. Multidisciplinary evidence has demonstrated topographic organization of higher-order cognitive functions within the cerebellum. We here review recent neuroimaging research that indicates cerebellar contributions to major depressive disorder (MDD). At the structural level, increased volume of lobule IX has been demonstrated in MDD patients, independent of acute or remitted disease state. Successful treatment with electroconvulsive therapy has been associated with increased lobule VIIA volume in depressed patients. At the functional level, connectivity analyses have shown reduced cerebro-cerebellar coupling of lobules VI and VIIA/B with prefrontal, posterior parietal, and limbic regions in patients with MDD. As a limitation, most of this evidence is based on smaller patient samples with incomplete phenotypic and neuropsychological characterization and with heterogenous medication. Some studies did not apply cerebellum-optimized data analysis protocols. Taken together, MDD pathophysiology affects distinct subregions of the cerebellum that communicate with cortical networks subserving cognitive and self-referential processing. This mini-review synthesizes research evidence from cerebellar structural and functional neuroimaging in depression, and provides future perspectives for neuroimaging of cerebellar contributions to MDD.
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Affiliation(s)
- Malte S Depping
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - Mike M Schmitgen
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - Katharina M Kubera
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - Robert C Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
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Zhu J, Lin X, Lin C, Zhuo C, Yu Y. Selective functional dysconnectivity of the dorsal-anterior subregion of the precuneus in drug-naive major depressive disorder. J Affect Disord 2018; 225:676-683. [PMID: 28917194 DOI: 10.1016/j.jad.2017.08.084] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2017] [Revised: 07/13/2017] [Accepted: 08/27/2017] [Indexed: 01/18/2023]
Abstract
BACKGROUND Patients with major depressive disorder (MDD) have shown altered resting-state functional connectivity (rsFC) of the precuneus; however, it is unknown whether rsFC of the precuneus subregions is differentially affected in this disorder. METHODS In this study, we aimed to clarify this issue by comparing rsFC of each precuneus subregion between patients with MDD and healthy controls. Forty-seven drug-naive patients with MDD and 47 sex-, age- and education-matched healthy controls underwent resting-state functional magnetic resonance imaging (fMRI). The precuneus was divided into PCun-1 (dorsal-central portion; medial area 7), PCun-2 (dorsal-anterior portion; medial area 5), PCun-3 (dorsal-posterior portion; dorsomedial parietooccipital sulcus) and PCun-4 (ventral portion; area 31). The rsFC of each precuneus subregion was compared between the two groups. RESULTS Compared with healthy controls, patients with MDD exhibited increased rsFC between the left PCun-2 and the right fusiform gyrus, lateral prefrontal cortex, sensorimotor cortex and supramarginal gyrus. No significant inter-group difference was observed in the rsFC of other precuneus subregions. In addition, there was no difference in gray matter volume of all the precuneus subregions between patients with MDD and healthy controls. LIMITATIONS Some of the patients had chronic MDD and relevant neuropsychological data were not collected. CONCLUSIONS These findings suggest a selective functional dysconnectivity of the precuneus subregions in drug-naive MDD, characterized by the hyperconnnectivity between the dorsal-anterior subregion and regions involved in visual, executive control, sensorimotor and bottom-up attention functions.
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Affiliation(s)
- Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaodong Lin
- Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, China
| | - Chongguang Lin
- Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, China
| | - Chuanjun Zhuo
- Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, China; Department of Psychiatry, Tianjin Mental Health Center, Tianjin, China.
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
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Wang S, Wang L, Jing P, Guo P, Zheng W, Li J, Qian M. Aberrant patterns of brain cerebral blood flow in Chinese han first-episode drug-naïve depressive patients with and without a family history of depression. Oncotarget 2017; 8:79906-79913. [PMID: 29108372 PMCID: PMC5668105 DOI: 10.18632/oncotarget.20306] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Accepted: 08/04/2017] [Indexed: 01/18/2023] Open
Abstract
A positive family history plays a key role in the brain pathology of depression patients and previous research has confirmed that disturbed mood maintenance may be related to abnormal regional cerebral blood flow (rCBF). However, little is known about whether the rCBF is different between depression patients with and without family histories. To address this question, we examined the rCBF in drug-naïve, first-episode depression patients with and without family histories of depression using a 3D pseudo-continuous arterial spin-labelling technique. We found that decreased rCBF was predominantly observed in the patients without family histories, while decreased and increased rCBF co-existed in patients with family histories. The observed brain regions with altered rCBF were associated with affection processing, such as the prefrontal, occipital and insular areas. However the patterns of rCBF alteration observed in the present study were different from those found in previous studies where patients were compared with healthy controls. Our present findings, together with the findings from previous studies have prompted the need of a long-term follow-up study to characterize the brain features of the developmental trajectory of depression and investigate the targets for precise, personalized treatments.
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Affiliation(s)
- Shikai Wang
- Department of Psychological Medicine, Huzhou Third People’s Hospital, Huzhou, China
| | - Lina Wang
- Department of Psychological Medicine, Tianjin Anding Hospital, Tianjin, China
| | - Ping Jing
- Department of Psychological Medicine, Wenzhou Seventh People’s Hospital, Wenzhou, China
| | - Ping Guo
- Department of Psychological Medicine, Huzhou Third People’s Hospital, Huzhou, China
| | - Weifang Zheng
- Department of Psychological Medicine, Wenzhou Seventh People’s Hospital, Wenzhou, China
| | - Jie Li
- Department of Psychological Medicine, Tianjin Anding Hospital, Tianjin, China
| | - Mincai Qian
- Department of Psychological Medicine, Huzhou Third People’s Hospital, Huzhou, China
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Adamaszek M, D'Agata F, Ferrucci R, Habas C, Keulen S, Kirkby KC, Leggio M, Mariën P, Molinari M, Moulton E, Orsi L, Van Overwalle F, Papadelis C, Priori A, Sacchetti B, Schutter DJ, Styliadis C, Verhoeven J. Consensus Paper: Cerebellum and Emotion. THE CEREBELLUM 2017; 16:552-576. [PMID: 27485952 DOI: 10.1007/s12311-016-0815-8] [Citation(s) in RCA: 329] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Over the past three decades, insights into the role of the cerebellum in emotional processing have substantially increased. Indeed, methodological refinements in cerebellar lesion studies and major technological advancements in the field of neuroscience are in particular responsible to an exponential growth of knowledge on the topic. It is timely to review the available data and to critically evaluate the current status of the role of the cerebellum in emotion and related domains. The main aim of this article is to present an overview of current facts and ongoing debates relating to clinical, neuroimaging, and neurophysiological findings on the role of the cerebellum in key aspects of emotion. Experts in the field of cerebellar research discuss the range of cerebellar contributions to emotion in nine topics. Topics include the role of the cerebellum in perception and recognition, forwarding and encoding of emotional information, and the experience and regulation of emotional states in relation to motor, cognitive, and social behaviors. In addition, perspectives including cerebellar involvement in emotional learning, pain, emotional aspects of speech, and neuropsychiatric aspects of the cerebellum in mood disorders are briefly discussed. Results of this consensus paper illustrate how theory and empirical research have converged to produce a composite picture of brain topography, physiology, and function that establishes the role of the cerebellum in many aspects of emotional processing.
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Affiliation(s)
- M Adamaszek
- Department of Clinical and Cognitive Neurorehabilitation, Klinik Bavaria Kreischa, An der Wolfsschlucht, 01731, Kreischa, Germany.
| | - F D'Agata
- Department of Neuroscience, University of Turin, Turin, Italy
| | - R Ferrucci
- Fondazione IRCCS Ca' Granda, Granada, Italy
- Università degli Studi di Milano, Milan, Italy
| | - C Habas
- Service de NeuroImagerie (NeuroImaging department) Centre Hospitalier national D'Ophtalmologie des 15/20, Paris, France
| | - S Keulen
- Department of Clinical and Experimental Neurolinguistics, CLIEN, Vrije Universiteit Brussel, Brussels, Belgium
- Center for Language and Cognition Groningen, Rijksuniversiteit Groningen, Groningen, The Netherlands
| | - K C Kirkby
- Psychiatry, School of Medicine, University of Tasmania, Hobart, Australia
| | - M Leggio
- I.R.C.C.S. Santa Lucia Foundation, Rome, Italy
- Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - P Mariën
- Department of Clinical and Experimental Neurolinguistics, CLIEN, Vrije Universiteit Brussel, Brussels, Belgium
- Department of Neurology and Memory Clinic, ZNA Middelheim Hospital, Antwerp, Belgium
| | - M Molinari
- I.R.C.C.S. Santa Lucia Foundation, Rome, Italy
| | - E Moulton
- P.A.I.N. Group, Center for Pain and the Brain, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - L Orsi
- Neurologic Division 1, Department of Neuroscience and Mental Health, Città della Salute e della Scienza di Torino, Turin, Italy
| | - F Van Overwalle
- Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - C Papadelis
- Fetal-Neonatal Neuroimaging and Developmental Center, Boston Children's Hospital, Boston, MA, USA
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - A Priori
- Fondazione IRCCS Ca' Granda, Granada, Italy
- Università degli Studi di Milano, Milan, Italy
- III Clinica Neurologica, Polo Ospedaliero San Paolo, San Paolo, Italy
| | - B Sacchetti
- Department of Neuroscience, Section of Physiology, University of Turin, Torino, Italy
| | - D J Schutter
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - C Styliadis
- Medical School, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - J Verhoeven
- Department of Language and Communication Science, City University, London, UK
- Computational Linguistics and Psycholinguistics Research Center (CLIPS), Universiteit Antwerpen, Antwerp, Belgium
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35
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Flace P, Quartarone A, Colangelo G, Milardi D, Cacciola A, Rizzo G, Livrea P, Anastasi G. The Neglected Cerebello-Limbic Pathways and Neuropsychological Features of the Cerebellum in Emotion. THE CEREBELLUM 2017; 17:243-246. [PMID: 28921485 DOI: 10.1007/s12311-017-0884-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Affiliation(s)
- Paolo Flace
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Piazza Giulio Cesare, 11, 70124, Bari, Italy.
| | - Angelo Quartarone
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125, Messina, Italy.,IRCCS Centro Neurolesi 'Bonino Pulejo', 98124, Messina, Italy
| | | | - Demetrio Milardi
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125, Messina, Italy.,IRCCS Centro Neurolesi 'Bonino Pulejo', 98124, Messina, Italy
| | | | - Giuseppina Rizzo
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125, Messina, Italy
| | - Paolo Livrea
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Piazza Giulio Cesare, 11, 70124, Bari, Italy
| | - Giuseppe Anastasi
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98125, Messina, Italy
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Brakowski J, Spinelli S, Dörig N, Bosch OG, Manoliu A, Holtforth MG, Seifritz E. Resting state brain network function in major depression - Depression symptomatology, antidepressant treatment effects, future research. J Psychiatr Res 2017; 92:147-159. [PMID: 28458140 DOI: 10.1016/j.jpsychires.2017.04.007] [Citation(s) in RCA: 206] [Impact Index Per Article: 29.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 03/21/2017] [Accepted: 04/21/2017] [Indexed: 10/19/2022]
Abstract
The alterations of functional connectivity brain networks in major depressive disorder (MDD) have been subject of a large number of studies. Using different methodologies and focusing on diverse aspects of the disease, research shows heterogeneous results lacking integration. Disrupted network connectivity has been found in core MDD networks like the default mode network (DMN), the central executive network (CEN), and the salience network, but also in cerebellar and thalamic circuitries. Here we review literature published on resting state brain network function in MDD focusing on methodology, and clinical characteristics including symptomatology and antidepressant treatment related findings. There are relatively few investigations concerning the qualitative aspects of symptomatology of MDD, whereas most studies associate quantitative aspects with distinct resting state functional connectivity alterations. Such depression severity associated alterations are found in the DMN, frontal, cerebellar and thalamic brain regions as well as the insula and the subgenual anterior cingulate cortex. Similarly, different therapeutical options in MDD and their effects on brain function showed patchy results. Herein, pharmaceutical treatments reveal functional connectivity alterations throughout multiple brain regions notably the DMN, fronto-limbic, and parieto-temporal regions. Psychotherapeutical interventions show significant functional connectivity alterations in fronto-limbic networks, whereas electroconvulsive therapy and repetitive transcranial magnetic stimulation result in alterations of the subgenual anterior cingulate cortex, the DMN, the CEN and the dorsal lateral prefrontal cortex. While it appears clear that functional connectivity alterations are associated with the pathophysiology and treatment of MDD, future research should also generate a common strategy for data acquisition and analysis, as a least common denominator, to set the basis for comparability across studies and implementation of functional connectivity as a scientifically and clinically useful biomarker.
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Affiliation(s)
- Janis Brakowski
- Psychiatric University Hospital, Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Simona Spinelli
- Psychiatric University Hospital, Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Nadja Dörig
- Psychiatric University Hospital, Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Oliver Gero Bosch
- Psychiatric University Hospital, Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Andrei Manoliu
- Psychiatric University Hospital, Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Martin Grosse Holtforth
- Division of Clinical Psychology and Psychotherapy, Department of Psychology, University of Bern, Fabrikstrasse 8, 3012 Bern, Switzerland.
| | - Erich Seifritz
- Psychiatric University Hospital, Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
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Brown EC, Clark DL, Hassel S, MacQueen G, Ramasubbu R. Thalamocortical connectivity in major depressive disorder. J Affect Disord 2017; 217:125-131. [PMID: 28407555 DOI: 10.1016/j.jad.2017.04.004] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 04/02/2017] [Indexed: 01/24/2023]
Abstract
BACKGROUND Major Depressive Disorder (MDD) is highly prevalent and potentially devastating, with widespread aberrations in brain activity. Thalamocortical networks are a potential candidate marker for psychopathology in MDD, but have not yet been thoroughly investigated. Here we examined functional connectivity between major cortical areas and thalamus. METHOD Resting-state fMRI from 54 MDD patients and 40 healthy controls were collected. The cortex was segmented into six regions of interest (ROIs) consisting of frontal, temporal, parietal, and occipital lobes and pre-central and post-central gyri. BOLD signal time courses were extracted from each ROI and correlated with voxels in thalamus, while removing signals from every other ROI. RESULTS Our main findings showed that MDD patients had predominantly increased connectivity between medial thalamus and temporal areas, and between medial thalamus and somatosensory areas. Furthermore, a positive correlation was found between thalamo-temporal connectivity and severity of symptoms. LIMITATIONS Most of the patients in this study were not medication naïve and therefore we cannot rule out possible long-term effects of antidepressant use on the findings. CONCLUSION The abnormal connectivity between thalamus and temporal, and thalamus and somatosensory regions may represent impaired cortico-thalamo-cortical modulation underlying emotional, and sensory disturbances in MDD. In the context of similar abnormalities in thalamocortical systems across major psychiatric disorders, thalamocortical dysconnectivity could be a reliable transdiagnostic marker.
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Affiliation(s)
- Elliot C Brown
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada; Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Darren L Clark
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada; Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Stefanie Hassel
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Department of Psychology, Aston University, Birmingham, UK
| | - Glenda MacQueen
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada; Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Rajamannar Ramasubbu
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada; Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
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Topologically convergent and divergent functional connectivity patterns in unmedicated unipolar depression and bipolar disorder. Transl Psychiatry 2017; 7:e1165. [PMID: 28675389 PMCID: PMC5538109 DOI: 10.1038/tp.2017.117] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Revised: 04/06/2017] [Accepted: 04/25/2017] [Indexed: 01/08/2023] Open
Abstract
Bipolar disorder (BD), particularly BD II, is frequently misdiagnosed as unipolar depression (UD), leading to inappropriate treatment and poor clinical outcomes. Although depressive symptoms may be expressed similarly in UD and BD, the similarities and differences in the architecture of brain functional networks between the two disorders are still unknown. In this study, we hypothesized that UD and BD II patients would show convergent and divergent patterns of disrupted topological organization of the functional connectome, especially in the default mode network (DMN) and the limbic network. Brain resting-state functional magnetic resonance imaging (fMRI) data were acquired from 32 UD-unmedicated patients, 31 unmedicated BD II patients (current episode depressed) and 43 healthy subjects. Using graph theory, we systematically studied the topological organization of their whole-brain functional networks at the following three levels: whole brain, modularity and node. First, both the UD and BD II patients showed increased characteristic path length and decreased global efficiency compared with the controls. Second, both the UD and BD II patients showed disrupted intramodular connectivity within the DMN and limbic system network. Third, decreased nodal characteristics (nodal strength and nodal efficiency) were found predominantly in brain regions in the DMN, limbic network and cerebellum of both the UD and BD II patients, whereas differences between the UD and BD II patients in the nodal characteristics were also observed in the precuneus and temporal pole. Convergent deficits in the topological organization of the whole brain, DMN and limbic networks may reflect overlapping pathophysiological processes in unipolar and bipolar depression. Our discovery of divergent regional connectivity that supports emotion processing could help to identify biomarkers that will aid in differentiating these disorders.
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Shared and Specific Intrinsic Functional Connectivity Patterns in Unmedicated Bipolar Disorder and Major Depressive Disorder. Sci Rep 2017; 7:3570. [PMID: 28620239 PMCID: PMC5472613 DOI: 10.1038/s41598-017-03777-8] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 05/04/2017] [Indexed: 01/10/2023] Open
Abstract
Identifying brain differences and similarities between bipolar disorder (BD) and major depressive disorder (MDD) is necessary for increasing our understanding of the pathophysiology and for developing more effective treatments. However, the features of whole-brain intrinsic functional connectivity underlying BD and MDD have not been directly compared. We collected resting-state fMRI data from 48 BD patients, 48 MDD patients, and 51 healthy subjects. We constructed voxel-wise whole-brain functional networks and computed regional functional connectivity strength (FCS) using graph-theory and further divided the regional FCS into long-range FCS (lFCS) and short-range FCS (sFCS). Relative to the controls, both the BD and MDD patients showed decreased sFCS in the bilateral precuneus. In addition, the BD patients showed increased and the MDD patients showed decreased lFCS and sFCS in the bilateral cerebellum. The BD patients also showed increased lFCS in the right middle temporal gyrus and increased sFCS in the bilateral thalamus compared to either the MDD patients or the controls. These findings suggest that BD and MDD may have some shared as well as a greater number of specific impairments in their functional connectivity patterns, providing new evidence for the pathophysiology of BD and MDD at the large-scale whole brain connectivity level.
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Lu S, Gao W, Wei Z, Wang D, Hu S, Huang M, Xu Y, Li L. Intrinsic brain abnormalities in young healthy adults with childhood trauma: A resting-state functional magnetic resonance imaging study of regional homogeneity and functional connectivity. Aust N Z J Psychiatry 2017; 51:614-623. [PMID: 27694638 DOI: 10.1177/0004867416671415] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Childhood trauma confers great risk for the development of multiple psychiatric disorders; however, the neural basis for this association is still unknown. The present resting-state functional magnetic resonance imaging study aimed to detect the effects of childhood trauma on brain function in a group of young healthy adults. METHODS In total, 24 healthy individuals with childhood trauma and 24 age- and sex-matched adults without childhood trauma were recruited. Each participant underwent resting-state functional magnetic resonance imaging scanning. Intra-regional brain activity was evaluated by regional homogeneity method and compared between groups. Areas with altered regional homogeneity were further selected as seeds in subsequent functional connectivity analysis. Statistical analyses were performed by setting current depression and anxiety as covariates. RESULTS Adults with childhood trauma showed decreased regional homogeneity in bilateral superior temporal gyrus and insula, and the right inferior parietal lobule, as well as increased regional homogeneity in the right cerebellum and left middle temporal gyrus. Regional homogeneity values in the left middle temporal gyrus, right insula and right cerebellum were correlated with childhood trauma severity. In addition, individuals with childhood trauma also exhibited altered default mode network, cerebellum-default mode network and insula-default mode network connectivity when the left middle temporal gyrus, right cerebellum and right insula were selected as seed area, respectively. CONCLUSION The present outcomes suggest that childhood trauma is associated with disturbed intrinsic brain function, especially the default mode network, in adults even without psychiatric diagnoses, which may mediate the relationship between childhood trauma and psychiatric disorders in later life.
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Affiliation(s)
- Shaojia Lu
- 1 Key Laboratory of Mental Disorder's Management of Zhejiang Province and Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Weijia Gao
- 2 Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhaoguo Wei
- 3 Key Laboratory of Psychiatry and Mental Health of Hunan Province and Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China
- 4 Department of Psychiatry, Shenzhen Kangning Hospital, Shenzhen, China
| | - Dandan Wang
- 1 Key Laboratory of Mental Disorder's Management of Zhejiang Province and Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shaohua Hu
- 1 Key Laboratory of Mental Disorder's Management of Zhejiang Province and Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Manli Huang
- 1 Key Laboratory of Mental Disorder's Management of Zhejiang Province and Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Xu
- 1 Key Laboratory of Mental Disorder's Management of Zhejiang Province and Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lingjiang Li
- 3 Key Laboratory of Psychiatry and Mental Health of Hunan Province and Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China
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Guo W, Liu F, Chen J, Wu R, Li L, Zhang Z, Chen H, Zhao J. Hyperactivity of the default-mode network in first-episode, drug-naive schizophrenia at rest revealed by family-based case-control and traditional case-control designs. Medicine (Baltimore) 2017; 96:e6223. [PMID: 28353559 PMCID: PMC5380243 DOI: 10.1097/md.0000000000006223] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Abnormal regional activity and functional connectivity of the default-mode network (DMN) have been reported in schizophrenia. However, previous studies may have been biased by unmatched case-control design. To limit such bias, the present study used both the family-based case-control design and the traditional case-control design to investigate abnormal regional activity of the DMN in patients with schizophrenia at rest.Twenty-eight first-episode, drug-naive patients with schizophrenia, 28 age-, sex-matched unaffected siblings of the patients (family-based controls, FBC), and 40 healthy controls (HC) underwent resting-state functional magnetic resonance imaging (fMRI) scans. The group-independent component analysis and fractional amplitude of low-frequency fluctuation (fALFF) methods were used to analyze the data.Patients with schizophrenia show increased fALFF in an overlapped region of the right superior medial prefrontal cortex (MPFC) relative to the FBC and the HC. Compared with the HC, the patients and the FBC exhibit increased fALFF in an overlapped region of the left posterior cingulate cortex/precuneus (PCC/PCu). Furthermore, the z values of the 2 overlapped regions can separate the patients from the FBC/HC, and separate the patients/FBC from the HC with relatively high sensitivity and specificity.Both the family-based case-control and traditional case-control designs reveal hyperactivity of the DMN in first-episode, drug-naive patients with paranoid schizophrenia, which highlights the importance of the DMN in the neurobiology of schizophrenia. Family-based case-control design can limit the confounding effects of environmental factors in schizophrenia. Combination of the family-based case-control and traditional case-control designs may be a viable option for the neuroimaging studies.
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Affiliation(s)
- Wenbin Guo
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, Hunan
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, Hunan Sheng
- National Clinical Research Center on Mental Disorders, Changsha, Hunan, China
- National Technology Institute on Mental Disorders, Changsha, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China
| | - Feng Liu
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan
| | - Jindong Chen
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, Hunan
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, Hunan Sheng
- National Clinical Research Center on Mental Disorders, Changsha, Hunan, China
- National Technology Institute on Mental Disorders, Changsha, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China
| | - Renrong Wu
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, Hunan
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, Hunan Sheng
- National Clinical Research Center on Mental Disorders, Changsha, Hunan, China
- National Technology Institute on Mental Disorders, Changsha, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China
| | - Lehua Li
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, Hunan
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, Hunan Sheng
- National Clinical Research Center on Mental Disorders, Changsha, Hunan, China
- National Technology Institute on Mental Disorders, Changsha, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China
| | - Zhikun Zhang
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Huafu Chen
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan
| | - Jingping Zhao
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, Hunan
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, Hunan Sheng
- National Clinical Research Center on Mental Disorders, Changsha, Hunan, China
- National Technology Institute on Mental Disorders, Changsha, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China
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42
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Renner F, Siep N, Arntz A, van de Ven V, Peeters FPML, Quaedflieg CWEM, Huibers MJH. Negative mood-induction modulates default mode network resting-state functional connectivity in chronic depression. J Affect Disord 2017; 208:590-596. [PMID: 27810271 DOI: 10.1016/j.jad.2016.10.022] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 09/06/2016] [Accepted: 10/21/2016] [Indexed: 11/26/2022]
Abstract
BACKGROUND The aim of this study was to investigate the effects of sad mood on default mode network (DMN) resting-state connectivity in persons with chronic major depressive disorder (cMDD). METHODS Participants with a diagnosis of cMDD (n=18) and age, gender and education level matched participants without a diagnosis of depression (n=18) underwent a resting-state fMRI scan, before and after a sad mood induction. The posterior cingulate cortex (PCC) was used as a seed for DMN functional connectivity across the two resting-state measurements. RESULTS Mood ratings decreased in both groups following the sad mood induction procedure. PCC connectivity with the parahippocampal gyrus, the superior temporal gyrus and the anterior inferior temporal cortex increased in cMDD patients following the sad mood induction, whereas it decreased in non-patient controls. PCC connectivity with the anterior prefrontal cortex and the precuneus decreased in cMDD patients following the sad mood induction, whereas it increased in non-patient controls. LIMITATIONS Limitations of this study include the relatively small sample size and lack of a clinical control group. CONCLUSIONS These findings are in line with neurobiological models of depression suggesting that the observed changes in DMN connectivity following the sad mood induction might reflect a failure to exert cognitive control over negative memory retrieval in patients with cMDD.
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Affiliation(s)
- Fritz Renner
- MRC Cognition and Brain Sciences Unit, Cambridge, United Kingdom; Department of Clinical Psychological Science, Maastricht University, The Netherlands.
| | - Nicolette Siep
- Department of Clinical Psychological Science, Maastricht University, The Netherlands
| | - Arnoud Arntz
- Department of Clinical Psychology, University of Amsterdam, The Netherlands
| | - Vincent van de Ven
- Department of Cognitive Neuroscience, Maastricht University, The Netherlands
| | - Frenk P M L Peeters
- Department of Psychiatry and Neuropsychology, University Hospital Maastricht, The Netherlands. School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life sciences, Maastricht University, The Netherlands
| | - Conny W E M Quaedflieg
- Department of Clinical Psychological Science, Maastricht University, The Netherlands; Department of Cognitive Psychology, Institute for Psychology, University of Hamburg, Germany
| | - Marcus J H Huibers
- Department of Clinical Psychology, VU University Amsterdam, The Netherlands
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43
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Zhang J, Guo Z, Liu X, Jia X, Li J, Li Y, Lv D, Chen W. Abnormal functional connectivity of the posterior cingulate cortex is associated with depressive symptoms in patients with Alzheimer's disease. Neuropsychiatr Dis Treat 2017; 13:2589-2598. [PMID: 29066900 PMCID: PMC5644530 DOI: 10.2147/ndt.s146077] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Depressive symptoms are significant and very common psychiatric complications in patients with Alzheimer's disease (AD), which can aggravate the decline in social function. However, changes in the functional connectivity (FC) of the brain in AD patients with depressive symptoms (D-AD) remain unclear. OBJECTIVE To investigate whether any differences exist in the FC of the posterior cingulate cortex (PCC) between D-AD patients and non-depressed AD patients (nD-AD). MATERIALS AND METHODS We recruited 15 D-AD patients and 17 age-, sex-, educational level-, and Mini-Mental State Examination (MMSE)-matched nD-AD patients to undergo tests using the Neuropsychiatric Inventory, Hamilton Depression Rating Scale, and 3.0T resting-state functional magnetic resonance imaging. Bilateral PCC were selected as the regions of interest and between-group differences in the PCC FC network were assessed using Student's t-test. RESULTS Compared with the nD-AD group, D-AD patients showed increased PCC FC in the right amygdala, right parahippocampus, right superior temporal pole, right middle temporal lobe, right middle temporal pole, and right hippocampus (AlphaSim correction; P<0.05). In the nD-AD group, MMSE scores were positively correlated with PCC FC in the right superior temporal pole and right hippocampus (false discovery rate corrected; P<0.05). CONCLUSION Differences were detected in PCC FC between nD-AD and D-AD patients, which may be related to depressive symptoms. Our study provides a significant enhancement to our understanding of the functional mechanisms underlying D-AD.
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Affiliation(s)
- Jiangtao Zhang
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang, China.,Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Zhongwei Guo
- Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Xiaozheng Liu
- China-USA Neuroimaging Research Institute & Department of Radiology, the Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xize Jia
- Center for Cognitive Brain Disorders & Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Jiapeng Li
- Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Yaoyao Li
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang, China.,Key Laboratory of Medical Neurobiology of Chinese Ministry of Health, Hangzhou, Zhejiang, China
| | - Danmei Lv
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang, China.,Key Laboratory of Medical Neurobiology of Chinese Ministry of Health, Hangzhou, Zhejiang, China
| | - Wei Chen
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang, China.,Key Laboratory of Medical Neurobiology of Chinese Ministry of Health, Hangzhou, Zhejiang, China
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44
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Chuang JY, Hagan CC, Murray GK, Graham JME, Ooi C, Tait R, Holt RJ, Elliott R, van Nieuwenhuizen AO, Bullmore ET, Lennox BR, Sahakian BJ, Goodyer IM, Suckling J. Adolescent Major Depressive Disorder: Neuroimaging Evidence of Sex Difference during an Affective Go/No-Go Task. Front Psychiatry 2017; 8:119. [PMID: 28744228 PMCID: PMC5504124 DOI: 10.3389/fpsyt.2017.00119] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Accepted: 06/22/2017] [Indexed: 12/22/2022] Open
Abstract
Compared to female major depressive disorder (MDD), male MDD often receives less attention. However, research is warranted since there are significant sex differences in the clinical presentation of MDD and a higher rate of suicide in depressed men. To the best of our knowledge, this is the first functional magnetic resonance imaging (fMRI) study with a large sample addressing putative sex differences in MDD during adolescence, a period when one of the most robust findings in psychiatric epidemiology emerges; that females are twice as likely to suffer from MDD than males. Twenty-four depressed and 10 healthy male adolescents, together with 82 depressed and 24 healthy female adolescents, aged 11-18 years, undertook an affective go/no-go task during fMRI acquisition. In response to sad relative to neutral distractors, significant sex differences (in the supramarginal gyrus) and group-by-sex interactions (in the supramarginal gyrus and the posterior cingulate cortex) were found. Furthermore, in contrast to the healthy male adolescents, depressed male adolescents showed decreased activation in the cerebellum with a significant group-by-age interaction in connectivity. Future research may consider altered developmental trajectories and the possible implications of sex-specific treatment and prevention strategies for MDD.
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Affiliation(s)
- Jie-Yu Chuang
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Cindy C Hagan
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.,California Institute of Technology, Pasadena, CA, United States.,Department of Psychology, Columbia University, New York, NY, United States
| | - Graham K Murray
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.,Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom.,Behavioural and Clinical Neuroscience Institute, Cambridge, United Kingdom
| | - Julia M E Graham
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Cinly Ooi
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Roger Tait
- Behavioural and Clinical Neuroscience Institute, Cambridge, United Kingdom
| | - Rosemary J Holt
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Rebecca Elliott
- Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, United Kingdom
| | | | - Edward T Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Belinda R Lennox
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Barbara J Sahakian
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.,Behavioural and Clinical Neuroscience Institute, Cambridge, United Kingdom
| | - Ian M Goodyer
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.,Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom.,Behavioural and Clinical Neuroscience Institute, Cambridge, United Kingdom
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45
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Functional alterations of fronto-limbic circuit and default mode network systems in first-episode, drug-naïve patients with major depressive disorder: A meta-analysis of resting-state fMRI data. J Affect Disord 2016; 206:280-286. [PMID: 27639862 DOI: 10.1016/j.jad.2016.09.005] [Citation(s) in RCA: 100] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 09/02/2016] [Accepted: 09/08/2016] [Indexed: 12/31/2022]
Abstract
BACKGROUND The neurobiological mechanisms of depression are increasingly being explored through resting-state brain imaging studies. However, resting-state fMRI findings have varied, perhaps because of differences between study populations, which included the disorder course and medication use. The aim of our study was to integrate studies of resting-state fMRI and explore the alterations of abnormal brain activity in first-episode, drug-naïve patients with major depressive disorder. METHODS Relevant imaging reports in English were searched, retrieved, selected and subjected to analysis by activation likelihood estimation, a coordinate-based meta-analysis technique (final sample, 31 studies). Coordinates extracted from the original reports were assigned to two categories based on effect directionality. RESULTS Compared with healthy controls, the first-episode, medication-naïve major depressive disorder patients showed decreased brain activity in the dorsolateral prefrontal cortex, superior temporal gyrus, posterior precuneus, and posterior cingulate, as well as in visual areas within the occipital lobe, lingual gyrus, and fusiform gyrus, and increased activity in the putamen and anterior precuneus. LIMITATIONS Not every study that has reported relevant data met the inclusion criteria. CONCLUSION Resting-state functional alterations were located mainly in the fronto-limbic system, including the dorsolateral prefrontal cortex and putamen, and in the default mode network, namely the precuneus and superior/middle temporal gyrus. Abnormal functional alterations of the fronto-limbic circuit and default mode network may be characteristic of first-episode, drug-naïve major depressive disorder patients.
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46
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Wang H, Guo W, Liu F, Chen J, Wu R, Zhang Z, Yu M, Li L, Zhao J. Clinical significance of increased cerebellar default-mode network connectivity in resting-state patients with drug-naive somatization disorder. Medicine (Baltimore) 2016; 95:e4043. [PMID: 27428190 PMCID: PMC4956784 DOI: 10.1097/md.0000000000004043] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
The cerebellum has been proven to be connected to the brain network, as in the default-mode network (DMN), among healthy subjects and patients with psychiatric disorders. However, whether or not abnormal cerebellar DMN connectivity exists and what its clinical significance is among drug-naive patients with somatization disorder (SD) at rest remain unclear.A total of 25 drug-naive patients with SD and 28 healthy controls were enrolled for a resting-state scan. The imaging data were analyzed using the seed-based functional connectivity (FC) method.Compared with the controls, patients with SD showed increased left/right Crus I-left/right angular gyrus (AG) connectivity and Lobule IX-left superior medial prefrontal cortex (MPFC) connectivity. The FC values of the left/right Crus I-right AG connectivity of the patients were positively correlated with their scores in the somatization subscale of the symptom checklist-90 (Scl-90). A trend level of correlations was observed between the FC values of the left Crus I-left AG connectivity of the patients and their scores for the somatization subscale of Scl-90, as well as between the FC values of their Lobule IX-left superior MPFC connectivity and their scores for the Eysenck personality questionnaire (EPQ) extraversion.Our findings show the increased cerebellar DMN connectivity in patients with SD and therefore highlight the importance of the DMN in the neurobiology of SD. Increased cerebellar DMN connectivities are also correlated with their somatization severity and personality, both of which bear clinical significance.
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Affiliation(s)
- Houliang Wang
- Department of Psychiatry, Mental Health Institute of the Second Xiangya Hospital, Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health. Changsha, Hunan 410011, China
| | - Wenbin Guo
- Department of Psychiatry, Mental Health Institute of the Second Xiangya Hospital, Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health. Changsha, Hunan 410011, China
- Correspondence: Wenbin Guo, Department of Psychiatry, Mental Health Institute of the Second Xiangya Hospital, Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health. Changsha, Hunan 410011, China (e-mail: )
| | - Feng Liu
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan
| | - Jindong Chen
- Department of Psychiatry, Mental Health Institute of the Second Xiangya Hospital, Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health. Changsha, Hunan 410011, China
| | - Renrong Wu
- Department of Psychiatry, Mental Health Institute of the Second Xiangya Hospital, Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health. Changsha, Hunan 410011, China
| | - Zhikun Zhang
- Mental Health Center, the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - Miaoyu Yu
- Mental Health Center, the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - Lehua Li
- Department of Psychiatry, Mental Health Institute of the Second Xiangya Hospital, Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health. Changsha, Hunan 410011, China
| | - Jingping Zhao
- Department of Psychiatry, Mental Health Institute of the Second Xiangya Hospital, Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health. Changsha, Hunan 410011, China
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47
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Hou Z, Jiang W, Yin Y, Zhang Z, Yuan Y. The Current Situation on Major Depressive Disorder in China: Research on Mechanisms and Clinical Practice. Neurosci Bull 2016; 32:389-97. [PMID: 27237579 DOI: 10.1007/s12264-016-0037-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Accepted: 05/11/2016] [Indexed: 12/12/2022] Open
Abstract
Depression is the most disabling disorder worldwide that accounts for the highest proportion of global burden attributable to mental disorders. Major depressive disorder (MDD) is characterized by deep sadness, reduced energy, vegetative nervous system dysregulation, cognitive dysfunction, and even a high suicidal tendency. Although other treatment choices are available, antidepressant medication is the front-line treatment option for MDD. Regarding clinical efficacy, only ~50% of patients respond to frontline antidepressants, and <33% obtain remission. Currently, objective indexes to guide clinical decisions are still lacking. Furthermore, knowledge about the neurobiological mechanisms underlying discrepant antidepressant outcomes is still also fragmentary. In the present review, we discuss the current research progress and clinical opinions on MDD in China.
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Affiliation(s)
- Zhenghua Hou
- Department of Psychosomatics and Psychiatry, Institute of Psychosomatic Medicine, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Wenhao Jiang
- Department of Psychosomatics and Psychiatry, Institute of Psychosomatic Medicine, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Yingying Yin
- Department of Psychosomatics and Psychiatry, Institute of Psychosomatic Medicine, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Zhijun Zhang
- Department of Neurology, Institute of Neuropsychiatry, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, Institute of Psychosomatic Medicine, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China.
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48
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Patients with first-episode, drug-naive schizophrenia and subjects at ultra-high risk of psychosis shared increased cerebellar-default mode network connectivity at rest. Sci Rep 2016; 6:26124. [PMID: 27188233 PMCID: PMC4870637 DOI: 10.1038/srep26124] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Accepted: 04/27/2016] [Indexed: 01/06/2023] Open
Abstract
Increased cerebellar-default mode network (DMN) connectivity has been observed in first-episode, drug-naive patients with schizophrenia. However, it remains unclear whether increased cerebellar-DMN connectivity starts earlier than disease onset. Thirty-four ultra-high risk (UHR) subjects, 31 first-episode, drug-naive patients with schizophrenia and 37 healthy controls were enrolled for a resting-state scan. The imaging data were analyzed using the seed-based functional connectivity (FC) method. Compared with the controls, UHR subjects and patients with schizophrenia shared increased connectivity between the right Crus I and bilateral posterior cingulate cortex/precuneus and between Lobule IX and the left superior medial prefrontal cortex. There are positive correlations between the right Crus I-bilateral precuneus connectivity and clinical variables (Structured Interview for Prodromal Syndromes/Positive and Negative Symptom Scale negative symptoms/total scores) in the UHR subjects. Increased cerebellar-DMN connectivity shared by the UHR subjects and the patients not only highlights the importance of the DMN in the pathophysiology of psychosis but also may be a trait alteration for psychosis.
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49
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Murrough JW, Abdallah CG, Anticevic A, Collins KA, Geha P, Averill LA, Schwartz J, DeWilde KE, Averill C, Jia-Wei Yang G, Wong E, Tang CY, Krystal JH, Iosifescu DV, Charney DS. Reduced global functional connectivity of the medial prefrontal cortex in major depressive disorder. Hum Brain Mapp 2016; 37:3214-23. [PMID: 27144347 DOI: 10.1002/hbm.23235] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2015] [Revised: 03/28/2016] [Accepted: 04/19/2016] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Major depressive disorder is a disabling neuropsychiatric condition that is associated with disrupted functional connectivity across brain networks. The precise nature of altered connectivity, however, remains incompletely understood. The current study was designed to examine the coherence of large-scale connectivity in depression using a recently developed technique termed global brain connectivity. METHODS A total of 82 subjects, including medication-free patients with major depression (n = 57) and healthy volunteers (n = 25) underwent functional magnetic resonance imaging with resting data acquisition for functional connectivity analysis. Global brain connectivity was computed as the mean of each voxel's time series correlation with every other voxel and compared between study groups. Relationships between global connectivity and depressive symptom severity measured using the Montgomery-Åsberg Depression Rating Scale were examined by means of linear correlation. RESULTS Relative to the healthy group, patients with depression evidenced reduced global connectivity bilaterally within multiple regions of medial and lateral prefrontal cortex. The largest between-group difference was observed within the right subgenual anterior cingulate cortex, extending into ventromedial prefrontal cortex bilaterally (Hedges' g = -1.48, P < 0.000001). Within the depressed group, patients with the lowest connectivity evidenced the highest symptom severity within ventromedial prefrontal cortex (r = -0.47, P = 0.0005). CONCLUSIONS Patients with major depressive evidenced abnormal large-scale functional coherence in the brain that was centered within the subgenual cingulate cortex, and medial prefrontal cortex more broadly. These data extend prior studies of connectivity in depression and demonstrate that functional disconnection of the medial prefrontal cortex is a key pathological feature of the disorder. Hum Brain Mapp 37:3214-3223, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- James W Murrough
- Mood and Anxiety Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.,Fishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Chadi G Abdallah
- Clinical Neuroscience Division, VA National Center for PTSD, West Haven, Connecticut.,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Alan Anticevic
- Clinical Neuroscience Division, VA National Center for PTSD, West Haven, Connecticut.,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Katherine A Collins
- Mood and Anxiety Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Paul Geha
- Clinical Neuroscience Division, VA National Center for PTSD, West Haven, Connecticut.,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Lynnette A Averill
- Clinical Neuroscience Division, VA National Center for PTSD, West Haven, Connecticut.,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Jaclyn Schwartz
- Mood and Anxiety Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Kaitlin E DeWilde
- Mood and Anxiety Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Christopher Averill
- Clinical Neuroscience Division, VA National Center for PTSD, West Haven, Connecticut.,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | | | - Edmund Wong
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Cheuk Y Tang
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - John H Krystal
- Clinical Neuroscience Division, VA National Center for PTSD, West Haven, Connecticut.,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Dan V Iosifescu
- Mood and Anxiety Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.,Fishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Dennis S Charney
- Mood and Anxiety Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.,Fishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York
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50
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Molecular, Functional, and Structural Imaging of Major Depressive Disorder. Neurosci Bull 2016; 32:273-85. [PMID: 27142698 DOI: 10.1007/s12264-016-0030-0] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Accepted: 03/16/2016] [Indexed: 12/31/2022] Open
Abstract
Major depressive disorder (MDD) is a significant cause of morbidity and mortality worldwide, correlating with genetic susceptibility and environmental risk factors. Molecular, functional, and structural imaging approaches have been increasingly used to detect neurobiological changes, analyze neurochemical correlates, and parse pathophysiological mechanisms underlying MDD. We reviewed recent neuroimaging publications on MDD in terms of molecular, functional, and structural alterations as detected mainly by magnetic resonance imaging (MRI) and positron emission tomography. Altered structure and function of brain regions involved in the cognitive control of affective state have been demonstrated. An abnormal default mode network, as revealed by resting-state functional MRI, is likely associated with aberrant metabolic and serotonergic function revealed by radionuclide imaging. Further multi-modal investigations are essential to clarify the characteristics of the cortical network and serotonergic system associated with behavioral and genetic variations in MDD.
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