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Li H, Zhang H, Qin K, Yin L, Chen Z, Zhang F, Wu B, Chen T, Sweeney JA, Gong Q, Jia Z. Disrupted small-world white matter networks in patients with major depression and recent suicide plans or attempts. Brain Imaging Behav 2024; 18:741-752. [PMID: 38407738 DOI: 10.1007/s11682-024-00870-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/19/2024] [Indexed: 02/27/2024]
Abstract
Suicide is a major concern for health, and depression is an established proximal risk factor for suicide. This study aimed to investigate white matter features associated with suicide. We constructed white matter structural networks by deterministic tractography via diffusion tensor imaging in 51 healthy controls, 47 depressed patients without suicide plans or attempts and 56 depressed patients with suicide plans or attempts. Then, graph theory analysis was used to measure global and nodal network properties. We found that local efficiency was decreased and path length was increased in suicidal depressed patients compared to healthy controls and non-suicidal depressed patients; moreover, the clustering coefficient was decreased in depressed patients compared to healthy controls; and the global efficiency and normalized characteristic path length was increased in suicidal depressed patients compared to healthy controls. Similarly, compared with those in non-suicidal depressed patients, nodal efficiency in the thalamus, caudate, medial orbitofrontal cortex, hippocampus, olfactory cortex, supplementary motor area and Rolandic operculum was decreased. In summary, compared with those of non-suicidal depressed patients, the structural connectome of suicidal depressed patients exhibited weakened integration and segregation and decreased nodal efficiency in the fronto-limbic-basal ganglia-thalamic circuitry. These alterations in the structural networks of depressed suicidal brains provide insights into the underlying neurobiology of brain features associated with suicide.
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Affiliation(s)
- Huiru Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China
| | - Huawei Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, China
| | - Kun Qin
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan University, Chengdu, 610041, China
| | - Li Yin
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Ziqi Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, China
| | - Feifei Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan University, Chengdu, 610041, China
| | - Baolin Wu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan University, Chengdu, 610041, China
| | - Taolin Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan University, Chengdu, 610041, China
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, USA
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China.
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, China.
- Functional and Molecular Imaging Key Laboratory of Sichuan University, Chengdu, 610041, China.
| | - Zhiyun Jia
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, China.
- Functional and Molecular Imaging Key Laboratory of Sichuan University, Chengdu, 610041, China.
- Department of Nuclear Medicine, West China Hospital, Sichuan University, No. 37 GuoXue Xiang, Chengdu, Sichuan, 610041, PR China.
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Wang H, Zhu R, Dai Z, Shao J, Xue L, Sun Y, Wang T, Liao Q, Yao Z, Lu Q. The altered temporal properties of dynamic functional connectivity associated with suicide attempt in bipolar disorders. Prog Neuropsychopharmacol Biol Psychiatry 2024; 129:110898. [PMID: 38030032 DOI: 10.1016/j.pnpbp.2023.110898] [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: 07/28/2023] [Revised: 09/15/2023] [Accepted: 11/16/2023] [Indexed: 12/01/2023]
Abstract
OBJECTIVE The suicide risk in bipolar disorder (BD) is the highest among psychiatric disorders, and the neurobiological mechanism of suicide in BD remains unclear. The study aimed to investigate the underlying relevance between the implicated abnormalities of dynamic functional connectivity (FC) and suicide attempt (SA) in BD. METHODS We used the sliding window method to analyze the dynamic FC patterns from resting-state functional MRI data in 81 healthy controls (HC) and 114 BD patients (50 with SA and 64 with none SA). Then, the temporal properties of dynamic FC and the relationship between altered measures and clinical variables were explored. RESULTS We found that one of the five captured brain functional states was more associated with SA. The SA patients showed significantly increased fractional window and dwell time in the suicide-related state, along with increased number of state transitions compared with none SA (NSA). In addition, the connections within subcortical network-subcortical network (SubC-SubC), default mode network-subcortical network (DMN-SubC), and attention network-subcortical network (AN-SubC) were significantly changed in SA patients relative to NSA and HC in the suicide-related state. Crucially, the above-altered measures were significantly correlated with suicide risk. CONCLUSIONS Our findings suggested that the impaired dynamic FC within SubC-SubC, DMN-SubC, and AN-SubC were the important underlying mechanism in understanding SA for BD patients. It highlights the temporal properties of whole-brain dynamic FC could serve as the valuable biomarker for suicide risk assessment in BD.
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Affiliation(s)
- Huan Wang
- School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou 213164, China
| | - Rongxin Zhu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Zhongpeng Dai
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Junneng Shao
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Li Xue
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Yurong Sun
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Ting Wang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Qian Liao
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Zhijian Yao
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing 210093, China.
| | - Qing Lu
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China.
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Wen X, Qu D, Liu D, Shu Y, Zhao S, Wu G, Wang Y, Cui Z, Zhang X, Chen R. Brain structural and functional signatures of multi-generational family history of suicidal behaviors in preadolescent children. Mol Psychiatry 2024; 29:484-495. [PMID: 38102486 DOI: 10.1038/s41380-023-02342-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 11/21/2023] [Accepted: 11/24/2023] [Indexed: 12/17/2023]
Abstract
Parent-child transmission of suicidal behaviors has been extensively studied, but the investigation of a three-generation family suicide risk paradigm remains limited. In this study, we aimed to explore the behavioral and brain signatures of multi-generational family history of suicidal behaviors (FHoS) in preadolescents, utilizing a longitudinal design and the dataset from Adolescent Brain and Cognitive DevelopmentSM Study (ABCD Study®), which comprised 4 years of data and includes a total of 9,653 preadolescents. Our findings revealed that multi-generational FHoS was significantly associated with an increased risk of problematic behaviors and suicidal behaviors (suicide ideation and suicide attempt) in offspring. Interestingly, the problematic behaviors were further identified as a mediator in the multi-generational transmission of suicidal behaviors. Additionally, we observed alterations in brain structure within superior temporal gyrus (STG), precentral/postcentral cortex, posterior parietal cortex (PPC), cingulate cortex (CC), and planum temporale (PT), as well as disrupted functional connectivity of default mode network (DMN), ventral attention network (VAN), dorsal attention network (DAN), fronto-parietal network (FPN), and cingulo-opercular network (CON) among preadolescents with FHoS. These results provide compelling longitudinal evidence at the population level, highlighting the associations between multi-generational FHoS and maladaptive behavioral and neurodevelopmental outcomes in offspring. These findings underscore the need for early preventive measures aimed at mitigating the familial transmission of suicide risk and reducing the global burden of deaths among children and adolescents.
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Affiliation(s)
- Xue Wen
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Diyang Qu
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Dongyu Liu
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Yinuo Shu
- Chinese Institute for Brain Research, Beijing, China
| | - Shaoling Zhao
- Chinese Institute for Brain Research, Beijing, China
| | - Guowei Wu
- Chinese Institute for Brain Research, Beijing, China
| | - Yuanyuan Wang
- Key Laboratory of Brain, Cognition and Education Sciences; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Zaixu Cui
- Chinese Institute for Brain Research, Beijing, China.
| | - Xiaoqian Zhang
- Wulituo Hospital of Shijingshan District, Beijing, China.
| | - Runsen Chen
- Vanke School of Public Health, Tsinghua University, Beijing, China.
- Institute for Healthy China, Tsinghua University, Beijing, China.
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Chen LC, Tan WY, Xi JY, Xie XH, Lin HC, Wang SB, Wu GH, Liu Y, Gu J, Jia FJ, Du ZC, Hao YT. Violent behavior and the network properties of psychopathological symptoms and real-life functioning in patients with schizophrenia. Front Psychiatry 2024; 14:1324911. [PMID: 38274426 PMCID: PMC10808501 DOI: 10.3389/fpsyt.2023.1324911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 12/29/2023] [Indexed: 01/27/2024] Open
Abstract
Objective To assess the interplay among psychopathological symptoms and real-life functioning, and to further detect their influence with violent behavior in patient with schizophrenia. Methods A sample of 1,664 patients with post-violence assessments and their propensity score-matched controls without violence from a disease registration report system of community mental health service in Guangdong, China, were studied by network analysis. Ising-Model was used to estimate networks of psychopathological symptoms and real-life functioning. Then, we tested whether network properties indicated the patterns of interaction were different between cases and controls, and calculated centrality indices of each node to identify the central nodes. Sensitivity analysis was conducted to examine the difference of interaction patterns between pre-violence and post-violence assessments in violence cases. Results Some nodes in the same domain were highly positive interrelations, while psychopathological symptoms were negatively related to real-life functioning in all networks. Many symptom-symptom connections and symptom-functioning connections were disconnected after the violence. The network density decreased from 23.53% to 12.42% without statistical significance (p = 0.338). The network structure, the global network strength, and the global clustering coefficient decreased significantly after the violence (p < 0.001, p = 0.019, and p = 0.045, respectively). Real-life functioning had a higher node strength. The strength of sleeping, lack of spontaneity and flow of conversation, and preoccupation were decreased in post-violence network of patients. Conclusion The decreasing connectivity may indicate an increased risk of violence and early warning for detecting violence. Interventions and improving health state based on nodes with high strength might prevent violence in schizophrenia patients.
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Affiliation(s)
- Li-Chang Chen
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wen-Yan Tan
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Jun-Yan Xi
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xin-Hui Xie
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Hai-Cheng Lin
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Shi-Bin Wang
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Gong-Hua Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yu Liu
- School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Jing Gu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Fu-Jun Jia
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Zhi-Cheng Du
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yuan-Tao Hao
- Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing, China
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Ambrosi E, Curtis KN, Goli P, Patriquin MA, Arciniegas DB, Simonetti A, Spalletta G, Salas R. Resting-State Functional Connectivity of the Anterior Cingulate Cortex Among Persons With Mood Disorders and Suicidal Behaviors. J Neuropsychiatry Clin Neurosci 2023; 36:143-150. [PMID: 37981779 DOI: 10.1176/appi.neuropsych.20220203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
OBJECTIVE To assess whether anterior cingulate cortex (ACC) abnormalities contribute to suicide risk in major depressive disorder and bipolar disorder, the investigators compared resting-state functional connectivity (rsFC) of ACC subdivisions between individuals with major depressive or bipolar disorder with and without a lifetime history of suicidal behavior. METHODS Forty-two inpatients with and 26 inpatients without a history of suicidal behavior (SB+ and SB-, respectively) associated with major depressive or bipolar disorder and 40 healthy control (HC) participants underwent rsFC neuroimaging. RsFC of the subgenual, perigenual, rostral, dorsal, and caudal subdivisions of the ACC was calculated. Possible confounders, such as psychosis and severity of depression, were controlled for, seed-to-voxel and post hoc region of interest (ROI)-to-ROI analyses were performed, and the accuracy of rsFC in classifying suicidal behavior was studied. RESULTS Compared with individuals in the SB- and HC groups, patients in the SB+ group had higher rsFC between the left rostral and right dorsal ACC seeds and visual cortex clusters. Conversely, rsFC between the left rostral and right dorsal ACC seeds and cingulate and frontal clusters was lower in the SB+ group than in the HC group. Left rostral ACC to left Brodmann's area 18 connectivity showed up to 75% discriminative accuracy in distinguishing SB+ from SB- patients. CONCLUSIONS A history of suicidal behavior among individuals with major depressive disorder or bipolar disorder was associated with altered rsFC of the rostral and caudal ACC, regions involved in conflict detection and error monitoring. Replication of these findings is needed to further explore the involvement of the ACC in the neurobiology of suicidal behavior and suicidal ideation.
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Affiliation(s)
- Elisa Ambrosi
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston (all authors); Center for Translational Research on Inflammatory Diseases, Michael E. DeBakey Veterans Affairs Medical Center, Houston (Curtis, Salas); Department of Neuroscience, Rice University, Houston (Goli); Department of Research, Menninger Clinic, Houston (Patriquin, Salas); Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque (Arciniegas); Fondazione Policlinico Universitario Agostino Gemelli, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Simonetti); Department of Clinical and Behavioral Neurology, Santa Lucia Foundation, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Spalletta)
| | - Kaylah N Curtis
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston (all authors); Center for Translational Research on Inflammatory Diseases, Michael E. DeBakey Veterans Affairs Medical Center, Houston (Curtis, Salas); Department of Neuroscience, Rice University, Houston (Goli); Department of Research, Menninger Clinic, Houston (Patriquin, Salas); Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque (Arciniegas); Fondazione Policlinico Universitario Agostino Gemelli, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Simonetti); Department of Clinical and Behavioral Neurology, Santa Lucia Foundation, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Spalletta)
| | - Puneetha Goli
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston (all authors); Center for Translational Research on Inflammatory Diseases, Michael E. DeBakey Veterans Affairs Medical Center, Houston (Curtis, Salas); Department of Neuroscience, Rice University, Houston (Goli); Department of Research, Menninger Clinic, Houston (Patriquin, Salas); Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque (Arciniegas); Fondazione Policlinico Universitario Agostino Gemelli, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Simonetti); Department of Clinical and Behavioral Neurology, Santa Lucia Foundation, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Spalletta)
| | - Michelle A Patriquin
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston (all authors); Center for Translational Research on Inflammatory Diseases, Michael E. DeBakey Veterans Affairs Medical Center, Houston (Curtis, Salas); Department of Neuroscience, Rice University, Houston (Goli); Department of Research, Menninger Clinic, Houston (Patriquin, Salas); Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque (Arciniegas); Fondazione Policlinico Universitario Agostino Gemelli, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Simonetti); Department of Clinical and Behavioral Neurology, Santa Lucia Foundation, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Spalletta)
| | - David B Arciniegas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston (all authors); Center for Translational Research on Inflammatory Diseases, Michael E. DeBakey Veterans Affairs Medical Center, Houston (Curtis, Salas); Department of Neuroscience, Rice University, Houston (Goli); Department of Research, Menninger Clinic, Houston (Patriquin, Salas); Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque (Arciniegas); Fondazione Policlinico Universitario Agostino Gemelli, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Simonetti); Department of Clinical and Behavioral Neurology, Santa Lucia Foundation, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Spalletta)
| | - Alessio Simonetti
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston (all authors); Center for Translational Research on Inflammatory Diseases, Michael E. DeBakey Veterans Affairs Medical Center, Houston (Curtis, Salas); Department of Neuroscience, Rice University, Houston (Goli); Department of Research, Menninger Clinic, Houston (Patriquin, Salas); Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque (Arciniegas); Fondazione Policlinico Universitario Agostino Gemelli, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Simonetti); Department of Clinical and Behavioral Neurology, Santa Lucia Foundation, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Spalletta)
| | - Gianfranco Spalletta
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston (all authors); Center for Translational Research on Inflammatory Diseases, Michael E. DeBakey Veterans Affairs Medical Center, Houston (Curtis, Salas); Department of Neuroscience, Rice University, Houston (Goli); Department of Research, Menninger Clinic, Houston (Patriquin, Salas); Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque (Arciniegas); Fondazione Policlinico Universitario Agostino Gemelli, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Simonetti); Department of Clinical and Behavioral Neurology, Santa Lucia Foundation, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Spalletta)
| | - Ramiro Salas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston (all authors); Center for Translational Research on Inflammatory Diseases, Michael E. DeBakey Veterans Affairs Medical Center, Houston (Curtis, Salas); Department of Neuroscience, Rice University, Houston (Goli); Department of Research, Menninger Clinic, Houston (Patriquin, Salas); Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque (Arciniegas); Fondazione Policlinico Universitario Agostino Gemelli, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Simonetti); Department of Clinical and Behavioral Neurology, Santa Lucia Foundation, Scientific Institute for Research, Hospitalization and Healthcare, Rome (Spalletta)
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Gao Y, Guo X, Wang S, Huang Z, Zhang B, Hong J, Zhong Y, Weng C, Wang H, Zha Y, Sun J, Lu L, Wang G. Frontoparietal network homogeneity as a biomarker for mania and remitted bipolar disorder and a predictor of early treatment response in bipolar mania patient. J Affect Disord 2023; 339:486-494. [PMID: 37437732 DOI: 10.1016/j.jad.2023.07.033] [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: 03/25/2023] [Revised: 06/13/2023] [Accepted: 07/08/2023] [Indexed: 07/14/2023]
Abstract
OBJECTIVE Previous studies have revealed the frontoparietal network (FPN) plays a key role in the imaging pathophysiology of bipolar disorder (BD). However, network homogeneity (NH) in the FPN among bipolar mania (BipM), remitted bipolar disorder (rBD), and healthy controls (HCs) remains unknown. The present study aimed to explore whether NH within the FPN can be used as an imaging biomarker to differentiate BipM from rBD and to predict treatment efficacy for patients with BipM. METHODS Sixty-six patients with BD (38 BipM and 28 rBD) and 60 HCs participated in resting-state functional magnetic resonance imaging and neuropsychological tests. Independent component analysis and NH analysis were applied to analyze the imaging data. RESULTS Relative to HCs, BipM patients displayed increased NH in the left middle frontal gyrus (MFG), and rBD patients displayed increased NH in the right inferior parietal lobule (IPL). Compared to rBD patients, BipM patients displayed reduced NH in the right IPL. Furthermore, support vector machine results exhibited that NH values in the right IPL could distinguish BipM patients from rBD patients with 69.70 %, 57.89 %, and 91.67 % for accuracy, sensitivity, and specificity, respectively, and support vector regression results exhibited a significant association between predicted and actual symptomatic improvement based on the reduction ratio of the Young` Mania Rating Scale total scores (r = 0.466, p < 0.01). CONCLUSION The study demonstrated distinct NH values in the FPN could serve as a valuable neuroimaging biomarker capable of differentiating patients with BipM and rBD, and NH values of the left MFG as a potential predictor of early treatment response in patients with BipM.
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Affiliation(s)
- Yujun Gao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China; Clinical and Translational Sciences Lab, The Douglas Research Centre, McGill University, Montreal, Canada
| | - Xin Guo
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Sanwang Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhengyuan Huang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Baoli Zhang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jiayu Hong
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yi Zhong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China; Department of Neuroscience, City University of Hong Kong, Hong Kong, China
| | - Chao Weng
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China; Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Haibo Wang
- Department of Medical Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yunfei Zha
- Department of Medical Imaging, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jie Sun
- Pain Medicine Center, Peking University Third Hospital, Peking University, Beijing, China.
| | - Lin Lu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China; Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China; National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
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7
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Wang X, Xia Y, Yan R, Wang H, Sun H, Huang Y, Hua L, Tang H, Yao Z, Lu Q. The relationship between disrupted anhedonia-related circuitry and suicidal ideation in major depressive disorder: A network-based analysis. Neuroimage Clin 2023; 40:103512. [PMID: 37757712 PMCID: PMC10539666 DOI: 10.1016/j.nicl.2023.103512] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/02/2023] [Accepted: 09/17/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Several epidemiological studies and psychological models have suggested that major depressive disorder (MDD) with anhedonia is associated with suicidal ideation (SI). However, little is known about whether the functional network pattern and intrinsic topologically disrupted in patients with anhedonia are related to SI. METHODS The resting-fMRI by applying network-based statistic (NBS) and graph-theory analyses was estimated in 273 patients with MDD (144 high anhedonia [HA], 129 low anhedonia [LA]) and 150 healthy controls. In addition, we quantified the SI scores of each patient. Finally, the mediation analysis assessed whether anhedonia symptoms could mediate the relationship between anhedonia-related network metrics and SI. RESULT The NBS analysis demonstrated that individuals with HA have a single abnormally increased functional connectivity component in a frontal-limbic circuit (termed the "anhedonia-related network", including the frontal cortex, striatum, anterior cingulate cortex and amygdala). The graph-theory analysis demonstrated that the anhedonia-related network showed a significantly disrupted topological organization (lower gamma and lambda), which the small-world property trend randomized. Furthermore, the anhedonia symptoms could mediate the relationship between the anhedonia-related network metrics (the mean functional connectivity values, the area under the curves values of gamma and nodal local efficiency in nucleus accumbens) and SI. CONCLUSIONS We found that disruption of the reward-related network in MDD leads to SI through anhedonia symptoms. These findings show the abnormal topological construction of functional brain network organization in anhedonia, shedding light on the neurological processes underlying SI in MDD patients with anhedonia symptoms.
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Affiliation(s)
- Xiaoqin Wang
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Yi Xia
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Rui Yan
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Huan Wang
- School of Biological Sciences and Medical Engineering, Southeast University, 2 sipailou, Nanjing 210096, China
| | - Hao Sun
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, 22 Hankou Road, Nanjing 210093, China
| | - Yinghong Huang
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, 22 Hankou Road, Nanjing 210093, China
| | - Lingling Hua
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Hao Tang
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Zhijian Yao
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, 22 Hankou Road, Nanjing 210093, China; School of Biological Sciences and Medical Engineering, Southeast University, 2 sipailou, Nanjing 210096, China.
| | - Qing Lu
- School of Biological Sciences and Medical Engineering, Southeast University, 2 sipailou, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing 210096, China.
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Tian S, Zhu R, Chen Z, Wang H, Chattun MR, Zhang S, Shao J, Wang X, Yao Z, Lu Q. Prediction of suicidality in bipolar disorder using variability of intrinsic brain activity and machine learning. Hum Brain Mapp 2023; 44:2767-2777. [PMID: 36852459 PMCID: PMC10089096 DOI: 10.1002/hbm.26243] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 02/03/2023] [Accepted: 02/10/2023] [Indexed: 03/01/2023] Open
Abstract
Bipolar disorder (BD) is associated with marked suicidal susceptibility, particularly during a major depressive episode. However, the evaluation of suicidal risk remains challenging since it relies mainly on self-reported information from patients. Hence, it is necessary to complement neuroimaging features with advanced machine learning techniques in order to predict suicidal behavior in BD patients. In this study, a total of 288 participants, including 75 BD suicide attempters, 101 BD nonattempters and 112 healthy controls, underwent a resting-state functional magnetic resonance imaging (rs-fMRI). Intrinsic brain activity was measured by amplitude of low-frequency fluctuation (ALFF). We trained and tested a two-level k-nearest neighbors (k-NN) model based on resting-state variability of ALFF with fivefold cross-validation. BD suicide attempters had increased dynamic ALFF values in the right anterior cingulate cortex, left thalamus and right precuneus. Compared to other machine learning methods, our proposed framework had a promising performance with 83.52% accuracy, 78.75% sensitivity and 87.50% specificity. The trained models could also replicate and validate the results in an independent cohort with 72.72% accuracy. These findings based on a relatively large data set, provide a promising way of combining fMRI data with machine learning technique to reliably predict suicide attempt at an individual level in bipolar depression. Overall, this work might enhance our understanding of the neurobiology of suicidal behavior by detecting clinically defined disruptions in the dynamics of instinct brain activity.
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Affiliation(s)
- Shui Tian
- Department of RadiologyThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
- Laboratory for Artificial Intelligence in Medical Imaging (LAIMI)Nanjing Medical UniversityNanjingChina
| | - Rongxin Zhu
- Department of PsychiatryThe Affiliated Nanjing Brain Hospital of Nanjing Medical UniversityNanjingChina
| | - Zhilu Chen
- Department of PsychiatryThe Affiliated Nanjing Brain Hospital of Nanjing Medical UniversityNanjingChina
| | - Huan Wang
- School of Biological Sciences and Medical EngineeringSoutheast UniversityNanjingChina
- Child Development and Learning ScienceKey Laboratory of Ministry of EducationBeijingChina
| | - Mohammad Ridwan Chattun
- Department of PsychiatryThe Affiliated Nanjing Brain Hospital of Nanjing Medical UniversityNanjingChina
| | - Siqi Zhang
- School of Biological Sciences and Medical EngineeringSoutheast UniversityNanjingChina
- Child Development and Learning ScienceKey Laboratory of Ministry of EducationBeijingChina
| | - Junneng Shao
- School of Biological Sciences and Medical EngineeringSoutheast UniversityNanjingChina
- Child Development and Learning ScienceKey Laboratory of Ministry of EducationBeijingChina
| | - Xinyi Wang
- School of Biological Sciences and Medical EngineeringSoutheast UniversityNanjingChina
- Child Development and Learning ScienceKey Laboratory of Ministry of EducationBeijingChina
| | - Zhijian Yao
- Department of PsychiatryThe Affiliated Nanjing Brain Hospital of Nanjing Medical UniversityNanjingChina
- Nanjing Brain HospitalMedical School of Nanjing UniversityNanjingChina
| | - Qing Lu
- School of Biological Sciences and Medical EngineeringSoutheast UniversityNanjingChina
- Child Development and Learning ScienceKey Laboratory of Ministry of EducationBeijingChina
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9
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Li G, Zhang B, Long M, Ma J. Abnormal degree centrality can be a potential imaging biomarker in first-episode, drug-naive bipolar mania. Neuroreport 2023; 34:323-331. [PMID: 37010493 PMCID: PMC10065818 DOI: 10.1097/wnr.0000000000001896] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 02/14/2023] [Indexed: 04/04/2023]
Abstract
Brain network abnormalities in emotional response exist in bipolar mania. However, few studies have been published on network degree centrality of first-episode, drug-naive bipolar mania, and healthy controls. This study aimed to assess the utility of neural activity values analyzed via degree centrality methods. Sixty-six first-episode, drug-naive patients with bipolar mania and 60 healthy controls participated in resting-state functional magnetic resonance rescanning and scale estimating. The degree centrality and receiver operating characteristic (ROC) curve methods were used for an analysis of the imaging data. Relative to healthy controls, first-episode bipolar mania patients displayed increased degree centrality values in the left middle occipital gyrus, precentral gyrus, supplementary motor area, Precuneus, and decreased degree centrality values in the left parahippocampal gyrus, right insula and superior frontal gyrus, medial. ROC results exhibited degree centrality values in the left parahippocampal gyrus that could distinguish first-episode bipolar mania patients from healthy controls with 0.8404 for AUC. Support vector machine results showed that reductions in degree centrality values in the left parahippocampal gyrus can be used to effectively differentiate between bipolar disorder patients and healthy controls with respective accuracy, sensitivity, and specificity values of 83.33%, 85.51%, and 88.41%. Increased activity in the left parahippocampal gyrus may be a distinctive neurobiological feature of first-episode, drug-naive bipolar mania. Degree centrality values in the left parahippocampal gyrus might be served as a potential neuroimaging biomarker to discriminate first-episode, drug-naive bipolar mania patients from healthy controls.
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Affiliation(s)
- Guangyu Li
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan
- Yunnan Psychiatric Hospital, Kunming
| | - Baoli Zhang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan
| | - Meixin Long
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin
| | - Jun Ma
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan
- Department of Psychiatry, Wuhan Mental Health Center
- Wuhan Hospital for Psychotherapy, Wuhan, China
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10
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Dai Z, Zhang S, Wang H, Chen Z, Zhang W, Hu X, Yao Z, Lu Q. Hampered gamma oscillations induced by sad emotion underlying suicide attempt in major depressive disorder. Psychiatry Clin Neurosci 2023; 77:20-29. [PMID: 36207792 DOI: 10.1111/pcn.13487] [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: 07/25/2022] [Revised: 09/18/2022] [Accepted: 09/30/2022] [Indexed: 01/06/2023]
Abstract
AIM Major depressive disorder (MDD) is associated with high suicidality, especially for those with suicide attempt (SA). Although impaired oscillatory activity has been previously reported in patients with SA, little is known about precise temporal-spatial variability of its neural dynamics. To solve this, the current study probed the spectral power and network interactions underlying SA in MDD. METHODS The present study recruited 104 subjects including 56 subjects with MDD (30 with SA and 26 without SA) and 48 healthy controls, who performed sad expressions recognition task during magnetoencephalography (MEG) recording. By investigating source-reconstructed MEG-data, brain states representing different task stages were estimated from a Hidden Markov model. Spectrum power and network connectivity were compared via Gaussian Mixture Models, and fractional occupancy (FO) of states were compared via an independent F-test. RESULTS Brain states were corresponding to various frequencies (theta/beta/low gamma/ high gamma). In low gamma band (35-45 Hz), the early visual state exhibited increased activation and hyper inter-network connectivity between visual regions and the limbic system, while the middle fronto-parietal state exhibited attenuated activation and decreased intra-network connectivity within fronto-parietal regions in SA group. Crucially, FO values of these two states were significantly correlated with the suicide risks. CONCLUSIONS Suicide behavior of patients with MDD was significantly associated with aberrant oscillations in low gamma band. Elevated oscillations in occipital cortices and attenuated oscillations in fronto-parietal cortices were significantly associated with SA. Manifesting sadness indulging and reckless decision-making, the hampered temporal characteristics could help explain the neural-electric basis of SA.
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Affiliation(s)
- Zhongpeng Dai
- School of Biological Sciences & Medical Engineering, Child Development and Learning Science, Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China.,Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Siqi Zhang
- School of Biological Sciences & Medical Engineering, Child Development and Learning Science, Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China
| | - Huan Wang
- School of Biological Sciences & Medical Engineering, Child Development and Learning Science, Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China
| | - Zhilu Chen
- Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, China
| | - Wei Zhang
- School of Biological Sciences & Medical Engineering, Child Development and Learning Science, Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China
| | - Xiaowen Hu
- School of Biological Sciences & Medical Engineering, Child Development and Learning Science, Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China
| | - Zhijian Yao
- Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, China.,Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Qing Lu
- School of Biological Sciences & Medical Engineering, Child Development and Learning Science, Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China
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11
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Shao R, Gao M, Lin C, Huang CM, Liu HL, Toh CH, Wu C, Tsai YF, Qi D, Lee SH, Lee TMC. Multimodal Neural Evidence on the Corticostriatal Underpinning of Suicidality in Late-Life Depression. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:905-915. [PMID: 34861420 DOI: 10.1016/j.bpsc.2021.11.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 10/13/2021] [Accepted: 11/20/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Suicidality involves thoughts (ideations and plans) and actions related to self-inflicted death. To improve management and prevention of suicidality, it is essential to understand the key neural mechanisms underlying suicidal thoughts and actions. Following empirically informed neural framework, we hypothesized that suicidal thoughts would be primarily characterized by alterations in the default mode network indicating disrupted self-related processing, whereas suicidal actions would be characterized by changes in the lateral prefrontal corticostriatal circuitries implicating compromised action control. METHODS We analyzed the gray matter volume and resting-state functional connectivity of 113 individuals with late-life depression, including 45 nonsuicidal patients, 33 with suicidal thoughts but no action, and 35 with past suicidal action. Between-group analyses revealed key neural features associated with suicidality. The functional directionality of the identified resting-state functional connectivity was examined using dynamic causal modeling to further elucidate its mechanistic nature. Post hoc classification analysis examined the contribution of the neural measures to suicide classification. RESULTS As expected, reduced gray matter volumes in the default mode network and lateral prefrontal regions characterized patients with suicidal thoughts and those with past suicidal actions compared with nonsuicidal patients. Furthermore, region-of-interest analyses revealed that the directionality and strength of the ventrolateral prefrontal cortex-caudate resting-state functional connectivity were related to suicidal thoughts and actions. The neural features significantly improved classification of suicidal thoughts and actions over that based on clinical and suicide questionnaire variables. CONCLUSIONS Gray matter reductions in the default mode network and lateral prefrontal regions and the ventrolateral prefrontal cortex-caudate connectivity alterations characterized suicidal thoughts and actions in patients with late-life depression.
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Affiliation(s)
- Robin Shao
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology & Human Neuroscience, The University of Hong Kong, Hong Kong
| | - Mengxia Gao
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology & Human Neuroscience, The University of Hong Kong, Hong Kong
| | - Chemin Lin
- Department of Psychiatry, Chang Gung Memorial Hospital, Keelung, Taiwan; Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Taiwan; College of Medicine, Chang Gung University, Taoyuan County, Taiwan
| | - Chih-Mao Huang
- Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan; Center for Intelligent Drug Systems and Smart Bio-devices, National Chiao Tung University, Taipei, Taiwan
| | - Ho-Ling Liu
- Department of Imaging Physics, University of Texas M D Anderson Cancer Center, Houston, Texas
| | - Cheng-Hong Toh
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Linkou, Taoyuan County, Taiwan
| | - Changwei Wu
- Brain and Consciousness Research Center, Shuang-Ho Hospital, New Taipei, Taiwan; Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
| | - Yun-Fang Tsai
- School of Nursing, College of Medicine, Chang Gung University, Taoyuan City, Taiwan; Department of Nursing, Chang Gung University of Science and Technology, Taoyuan City, Taiwan
| | - Di Qi
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology & Human Neuroscience, The University of Hong Kong, Hong Kong
| | - Shwu-Hua Lee
- College of Medicine, Chang Gung University, Taoyuan County, Taiwan; Department of Psychiatry, Linkou Chang Gung Memorial Hospital, Taoyuan County, Taiwan.
| | - Tatia M C Lee
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology & Human Neuroscience, The University of Hong Kong, Hong Kong; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.
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12
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Wang H, Zhu R, Tian S, Zhang S, Dai Z, Shao J, Xue L, Yao Z, Lu Q. Dynamic connectivity alterations in anterior cingulate cortex associated with suicide attempts in bipolar disorders with a current major depressive episode. J Psychiatr Res 2022; 149:307-314. [PMID: 35325759 DOI: 10.1016/j.jpsychires.2022.03.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 03/03/2022] [Accepted: 03/07/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE Considering that the physiological mechanism of the anterior cingulate cortex (ACC) in suicide brain remains elusive for bipolar disorder (BD) patients. The study aims to investigate the intrinsic relevance between ACC and suicide attempts (SA) through transient functional connectivity (FC). METHODS We enrolled 50 un-medicated BD patients with at least one SA, 67 none-suicide attempt patients (NSA) and 75 healthy controls (HCs). The sliding window approach was utilized to study the dynamic FC of ACC via resting-state functional MRI data. Subsequently, we probed into the temporal properties of dynamic FC and then estimated the relationship between dynamic characteristics and clinical variables using the Pearson correlation. RESULTS We found six distinct FC states in all populations, with one of them being more associated with SA. Compared with NSA and HCs, the suicide-related functional state showed significantly reduced dwell time in SA patients, accompanied by a significantly increased FC strength between the right ACC and the regions within the subcortical (SubC) network. In addition, the number of transitions was significantly increased in SA patients relative to other groups. All these altered indicators were significantly correlated with the suicide risk. CONCLUSIONS The results suggested that the dysfunction of ACC was relevant to SA from a dynamic FC perspective in BD patients. It highlights the temporal properties in dynamic FC of ACC that could be used as a putative target of suicide risk assessment for BD patients.
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Affiliation(s)
- Huan Wang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Rongxin Zhu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Shui Tian
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Siqi Zhang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Zhongpeng Dai
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Junneng Shao
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Li Xue
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Zhijian Yao
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, 210093, China.
| | - Qing Lu
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China.
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13
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Pallidal volume reduction and prefrontal-striatal-thalamic functional connectivity disruption in pediatric bipolar disorders. J Affect Disord 2022; 301:281-288. [PMID: 35031334 DOI: 10.1016/j.jad.2022.01.049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 12/14/2021] [Accepted: 01/10/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND As a crucial node of the corticolimbic model, the striatum has been demonstrated in modulating emotional cues in pediatric bipolar disorders (PBD), the striatal distinction in structure and function between PBD-I and PBD-II remains unclear. METHODS MRI data of 36 patients in PBD-I, 22 patients in PBD-II and 19 age-gender matched healthy controls (HCs) were processed. Here, we investigated structural and functional alterations of 8 subregions of striatum (bilateral nucleus accumbens, caudate, putamen and globus pallidus) by analyzing MRI data. RESULTS We found volume reduction of the right pallidum, the significant positive correlation between the number of episodes and the functional connectivity between left pallidum and right caudate in PBD-I patients, abrupted prefrontal-striatal-thalamic functional connectivity in PBD-I group and decreased functional connectivity in PBD-II relative to HCs and PBD-I. LIMITATIONS Future studies should enroll more subjects and adopt a longitudinal perspective, which could help to discover striatum structural or functional alterations during subject-specific clinical progress in different states. CONCLUSIONS Results of the present study confirmed that structural and functional abnormality of striatum may be helpful in identifying PBD clinical types as distinctive biomarkers. The interruptions of the prefrontal-striatal-thalamic circuits may provide advantageous evidence for expounding the role of striatum in bipolar disorders etiology. Thus, potential mechanisms of dysfunction striatum need to be formulated and reconceptualized with multimodal neuroimaging studies in future.
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14
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Graph theory analysis of whole brain functional connectivity to assess disturbances associated with suicide attempts in bipolar disorder. Transl Psychiatry 2022; 12:7. [PMID: 35013103 PMCID: PMC8748935 DOI: 10.1038/s41398-021-01767-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 10/25/2021] [Accepted: 11/12/2021] [Indexed: 12/22/2022] Open
Abstract
Brain targets to lower the high risk of suicide in Bipolar Disorder (BD) are needed. Neuroimaging studies employing analyses dependent on regional assumptions could miss hubs of dysfunction critical to the pathophysiology of suicide behaviors and their prevention. This study applied intrinsic connectivity distribution (ICD), a whole brain graph-theoretical approach, to identify hubs of functional connectivity (FC) disturbances associated with suicide attempts in BD. ICD, from functional magnetic resonance imaging data acquired while performing a task involving implicit emotion regulation processes important in BD and suicide behaviors, was compared across 40 adults with BD with prior suicide attempts (SAs), 49 with BD with no prior attempts (NSAs) and 51 healthy volunteers (HVs). Areas of significant group differences were used as seeds to identify regional FC differences and explore associations with suicide risk-related measures. ICD was significantly lower in SAs than in NSAs and HVs in bilateral ventromedial prefrontal cortex (vmPFC) and right anterior insula (RaIns). Seed connectivity revealed altered FC from vmPFC to bilateral anteromedial orbitofrontal cortex, left ventrolateral PFC (vlPFC) and cerebellum, and from RaIns to right vlPFC and temporopolar cortices. VmPFC and RaIns ICD were negatively associated with suicidal ideation severity, and vmPFC ICD with hopelessness and attempt lethality severity. The findings suggest that SAs with BD have vmPFC and RaIns hubs of dysfunction associated with altered FC to other ventral frontal, temporopolar and cerebellar cortices, and with suicidal ideation, hopelessness, and attempt lethality. These hubs may be targets for novel therapeutics to reduce suicide risk in BD.
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15
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Tang G, Chen P, Chen G, Zhong S, Gong J, Zhong H, Ye T, Chen F, Wang J, Luo Z, Qi Z, Jia Y, Wang Y, Huang L. Inflammation is correlated with abnormal functional connectivity in unmedicated bipolar depression: an independent component analysis study of resting-state fMRI. Psychol Med 2021; 52:1-11. [PMID: 33602352 DOI: 10.1017/s003329172100009x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Inflammation might play a role in bipolar disorder (BD), but it remains unclear the relationship between inflammation and brain structural and functional abnormalities in patients with BD. In this study, we focused on the alterations of functional connectivity (FC), peripheral pro-inflammatory cytokines and their correlations to investigate the role of inflammation in FC in BD depression. METHODS In this study, 42 unmedicated patients with BD II depression and 62 healthy controls (HCs) were enrolled. Resting-state-functional magnetic resonance imaging was performed in all participants and independent component analysis was used. Serum levels of Interleukin-6 (IL-6) and Interleukin-8 (IL-8) were measured in all participants. Correlation between FC values and IL-6 and IL-8 levels in BD was calculated. RESULTS Compared with the HCs, BD II patients showed decreased FC in the left orbitofrontal cortex (OFC) implicating the limbic network and the right precentral gyrus implicating the somatomotor network. BD II showed increased IL-6 (p = 0.039), IL-8 (p = 0.002) levels. Moreover, abnormal FC in the right precentral gyrus were inversely correlated with the IL-8 (r = -0.458, p = 0.004) levels in BD II. No significant correlation was found between FC in the left OFC and cytokines levels. CONCLUSIONS Our findings that serum IL-8 levels are associated with impaired FC in the right precentral gyrus in BD II patients suggest that inflammation might play a crucial role in brain functional abnormalities in BD.
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Affiliation(s)
- Guixian Tang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Pan Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou510630, China
| | - JiaYing Gong
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
- Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou510655, China
| | - Hui Zhong
- Biomedical Translational Research Institute, Jinan University, Guangzhou510630, China
| | - Tao Ye
- Clinical Laboratory Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Jurong Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Zhenye Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou510630, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
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