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Wei X, Shao J, Wang H, Wang X, Xue L, Yan R, Wang X, Yao Z, Lu Q. Individual suicide risk factors with resting-state brain functional connectivity patterns in bipolar disorder patients based on latent Dirichlet allocation model. Prog Neuropsychopharmacol Biol Psychiatry 2024; 135:111117. [PMID: 39127182 DOI: 10.1016/j.pnpbp.2024.111117] [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: 04/29/2024] [Revised: 07/25/2024] [Accepted: 08/07/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND The widespread problem of suicide and its severe burden in bipolar disorder (BD) necessitate the development of objective risk markers, aiming to enhance individual suicide risk prediction in BD. METHODS This study recruited 123 BD patients (61 patients with prior suicide attempted history (PSAs), 62 without (NSAs)) and 68 healthy controls (HEs). The Latent Dirichlet Allocation (LDA) model was used to decompose the resting state functional connectivity (RSFC) into multiple hyper/hypo-RSFC patterns. Thereafter, according to the quantitative results of individual heterogeneity over latent factor dimensions, the correlations were analyzed to test prediction ability. RESULTS Model constructed without introducing suicide-related labels yielded three latent factors with dissociable hyper/hypo-RSFC patterns. In the subsequent analysis, significant differences in the factor distributions of PSAs and NSAs showed biases on the default-mode network (DMN) hyper-RSFC factor (factor 3) and the salience network (SN) and central executive network (CEN) hyper-RSFC factor (factor 1), indicating predictive value. Correlation analysis of the individuals' expressions with their Nurses' Global Assessment of Suicide Risk (NGASR) revealed factor 3 positively correlated (r = 0.4180, p < 0.0001) and factor 1 negatively correlated (r = - 0.2492, p = 0.0055) with suicide risk. Therefore, it could be speculated that patterns more associated with suicide reflected hyper-connectivity in DMN and hypo-connectivity in SN, CEN. CONCLUSIONS This study provided individual suicide-associated risk factors that could reflect the abnormal RSFC patterns, and explored the suicide related brain mechanisms, which is expected to provide supports for clinical decision-making and timely screening and intervention for individuals at high risks of suicide.
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Affiliation(s)
- Xinruo Wei
- 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
| | - 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
| | - Xinyi Wang
- 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
| | - Rui Yan
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China; Nanjing Brain Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Nanjing 210093, China
| | - Xiaoqin Wang
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China; Nanjing Brain Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Nanjing 210093, China
| | - Zhijian Yao
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China; Nanjing Brain Hospital, Clinical Teaching Hospital of Medical School, 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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Wu Y, Zhang H, Shen Q, Jiang X, Yuan X, Li M, Chen M, Zhou J, Cui J. Exploring the neurocognitive correlates of suicidal ideation in major depressive disorder: The role of frontoparietal and default mode networks. J Psychiatr Res 2024; 177:211-218. [PMID: 39032275 DOI: 10.1016/j.jpsychires.2024.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 06/20/2024] [Accepted: 07/09/2024] [Indexed: 07/23/2024]
Abstract
Suicidal ideation (SI) is a common symptom of major depressive disorder (MDD), often accompanied by cognitive alterations and emotional dysregulation. However, it is unclear whether cognitive dysfunction in patients with MDD is related to the presence or absence of SI and impaired connectivity within or between large-scale neurocognitive networks. Previous studies have shown that the frontoparietal network (FPN) and default mode network (DMN) are critical for cognitive control and emotional regulation. Participants were 51 MDD patients with suicidal ideation (MDDSI), 52 MDD patients without suicidal ideation (MDDNSI), and 55 healthy controls (HC). Using areas located within FPN and DMN networks as regions of interest (ROIs), we compared the cognitive performance of the three groups and the strength of the resting state functional connections (RSFC) within and between the FPN and DMN networks. Additionally, we examined the correlation between the strength of FC within the FPN and cognitive function in the SI group. Furthermore, network-based statistics (NBS) were used to correct for the strength of FPN and DMN functional connections. The study identified significant cognitive deficits in MDD patients. Reduced strength of FC was observed within the FPN and DMN networks in the SI group compared to the NSI group. In the SI group, the strength of FC within the FPN network was positively correlated with attention/vigilance. These insights underscore the critical roles of the FPN and DMN in the suicidal ideation, shedding light on the cognitively relevant neurobiological characteristics of MDDSI, providing new insights into the neural mechanisms of MDDSI. URL: https://www.chictr.org.cn/bin/project/edit?pid=131537. Registration number: ChiCTR2100049646.
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Affiliation(s)
- Yang Wu
- Department of Psychiatry, Jining Medical University, Jining, 272000, China
| | - Hongyong Zhang
- Medical Imaging Department, Shandong Daizhuang Hospital, Jining, 272000, China
| | - Qinge Shen
- Department of Psychiatry, Jining Medical University, Jining, 272000, China
| | - Xianfei Jiang
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, 272000, China
| | - Xiaochi Yuan
- Department of Equipment, Shandong Daizhuang Hospital, Jining, 272000, China
| | - Meng Li
- Precision Medicine Laboratory, Shandong Daizhuang Hospital, Jining, 272000, China
| | - Min Chen
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, 272000, China
| | - Jingjing Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100088, China
| | - Jian Cui
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, 272000, China; Precision Medicine Laboratory, Shandong Daizhuang Hospital, Jining, 272000, China.
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Meda N, Miola A, Cattarinussi G, Sambataro F. Whole-brain structural and functional neuroimaging of individuals who attempted suicide and people who did not: A systematic review and exploratory coordinate-based meta-analysis. Eur Neuropsychopharmacol 2024; 79:66-77. [PMID: 38237538 DOI: 10.1016/j.euroneuro.2023.10.003] [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: 07/10/2023] [Revised: 10/11/2023] [Accepted: 10/14/2023] [Indexed: 02/06/2024]
Abstract
Suicide is the cause of death of approximately 800,000 people a year. Despite the relevance of this behaviour, risk assessment tools rely on clinician experience and subjective ratings. Given that previous suicide attempts are the single strongest predictors of future attempts, we designed a systematic review and coordinate-based meta-analysis to demonstrate whether neuroimaging features can help distinguish individuals who attempted suicide from subjects who did not. Out of 5,659 publications from PubMed, Scopus, and Web of Science, we summarised 102 experiments and meta-analysed 23 of them. A cluster in the right superior temporal gyrus, a region implicated in emotional processing, might be functionally hyperactive in individuals who attempted suicide. No statistically significant differences in brain morphometry were evidenced. Furthermore, we used JuSpace to show that this cluster is enriched in 5-HT1A heteroreceptors in the general population. This exploratory meta-analysis provides a putative neural substrate linked to previous suicide attempts. Heterogeneity in the analytical techniques and weak or absent power analysis of the studies included in this review currently limit the applicability of the findings, the replication of which should be prioritised.
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Affiliation(s)
- Nicola Meda
- Department of Neuroscience, University of Padova, Via Giustiniani, 3, Padua, Italy; Padova University Hospital, Padua, Italy
| | - Alessandro Miola
- Department of Neuroscience, University of Padova, Via Giustiniani, 3, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy; Casa di Cura Parco dei Tigli, Padova, Italy
| | - Giulia Cattarinussi
- Department of Neuroscience, University of Padova, Via Giustiniani, 3, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Fabio Sambataro
- Department of Neuroscience, University of Padova, Via Giustiniani, 3, Padua, Italy; Padova University Hospital, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy.
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Wang Q, He C, Wang Z, Fan D, Zhang Z, Xie C. Connectomics-based resting-state functional network alterations predict suicidality in major depressive disorder. Transl Psychiatry 2023; 13:365. [PMID: 38012129 PMCID: PMC10682490 DOI: 10.1038/s41398-023-02655-4] [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] [Received: 02/10/2023] [Revised: 10/30/2023] [Accepted: 11/07/2023] [Indexed: 11/29/2023] Open
Abstract
Suicidal behavior is a major concern for patients who suffer from major depressive disorder (MDD). However, dynamic alterations and dysfunction of resting-state networks (RSNs) in MDD patients with suicidality have remained unclear. Thus, we investigated whether subjects with different severity of suicidal ideation and suicidal behavior may have different disturbances in brain RSNs and whether these changes could be used as the diagnostic biomarkers to discriminate MDD with or without suicidal ideation and suicidal behavior. Then a multicenter, cross-sectional study of 528 MDD patients with or without suicidality and 998 healthy controls was performed. We defined the probability of dying by the suicide of the suicidality components as a 'suicidality gradient'. We constructed ten RSNs, including default mode (DMN), subcortical (SUB), ventral attention (VAN), and visual network (VIS). The network connections of RSNs were analyzed among MDD patients with different suicidality gradients and healthy controls using ANCOVA, chi-squared tests, and network-based statistical analysis. And support vector machine (SVM) model was designed to distinguish patients with mild-to-severe suicidal ideation, and suicidal behavior. We found the following abnormalities with increasing suicidality gradient in MDD patients: within-network connectivity values initially increased and then decreased, and one-versus-other network values decreased first and then increased. Besides, within- and between-network connectivity values of the various suicidality gradients are mainly negatively correlated with HAMD anxiety and positively correlated with weight. We found that VIS and DMN-VIS values were affected by age (p < 0.05), cingulo-opercular network, and SUB-VAN values were statistically influenced by sex (p < 0.05). Furthermore, the SVM model could distinguish MDD patients with different suicidality gradients (AUC range, 0.73-0.99). In conclusion, we have identified that disrupted brain connections were present in MDD patients with different suicidality gradient. These findings provided useful information about the pathophysiological mechanisms of MDD patients with suicidality.
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Affiliation(s)
- Qing Wang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China
| | - Cancan He
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China
| | - Zan Wang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China
- Institute of Neuropsychiatry, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu, 210009, China
| | - Dandan Fan
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China
| | - Zhijun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China
- Institute of Neuropsychiatry, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu, 210009, China
- The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu, 210009, China
| | - Chunming Xie
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China.
- Institute of Neuropsychiatry, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu, 210009, China.
- The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu, 210009, China.
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Lin G, Chen B, Yang M, Wu Z, Qiu K, Zhang M, Wang Q, Zhang S, Lao J, Zeng Y, Ning Y, Zhong X. Lower Dorsal Lateral Prefrontal Cortex Functional Connectivity in Late-Life Depression With Suicidal Ideation. Am J Geriatr Psychiatry 2023; 31:905-915. [PMID: 37271652 DOI: 10.1016/j.jagp.2023.05.006] [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: 03/08/2023] [Revised: 05/10/2023] [Accepted: 05/11/2023] [Indexed: 06/06/2023]
Abstract
OBJECTIVE The dorsal lateral prefrontal cortex (DLPFC) has been identified as a neuromodulation target for alleviating suicidal ideation. Dysfunctional DLPFC has been implicated in suicidality in depression. This study aimed to investigate the functional connectivity (FC) of the DLPFC in late-life depression (LLD) with suicidal ideation. METHODS Resting-state functional magnetic resonance imaging (fMRI) data from 32 LLD patients with suicidal ideation (LLD-S), 41 LLD patients without suicidal ideation (LLD-NS), and 54 healthy older adults (HOA) were analyzed using DLPFC seed-based FC analyses. Group differences in FC were examined, and machine learning was applied to explore the potential of DLPFC-FC for classifying LLD-S from LLD-NS. RESULTS Abnormal DLPFC-FC patterns were observed in LLD-S, characterized by lower connectivity with the angular gyrus, precuneus, and superior frontal gyrus compared to LLD-NS and healthy controls. A classification model based on the identified DLPFC-FC achieved an accuracy of 75%. CONCLUSION The lower FC of DLPFC networks may contribute to the neurobiological mechanism of suicidal ideation in late-life depression. These findings may facilitate suicide prevention for LLD by providing potential neuroimaging markers and network-based neuromodulation targets. However, further confirmation with larger sample sizes and experimental designs is warranted.
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Affiliation(s)
- Gaohong Lin
- Geriatric Neuroscience Center (GL, BC, MY, ZW, KQ, MZ, QW, SZ, JL, YZ, YN, XZ), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ben Chen
- Geriatric Neuroscience Center (GL, BC, MY, ZW, KQ, MZ, QW, SZ, JL, YZ, YN, XZ), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Mingfeng Yang
- Geriatric Neuroscience Center (GL, BC, MY, ZW, KQ, MZ, QW, SZ, JL, YZ, YN, XZ), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhangying Wu
- Geriatric Neuroscience Center (GL, BC, MY, ZW, KQ, MZ, QW, SZ, JL, YZ, YN, XZ), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Kaijie Qiu
- Geriatric Neuroscience Center (GL, BC, MY, ZW, KQ, MZ, QW, SZ, JL, YZ, YN, XZ), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Min Zhang
- Geriatric Neuroscience Center (GL, BC, MY, ZW, KQ, MZ, QW, SZ, JL, YZ, YN, XZ), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiang Wang
- Geriatric Neuroscience Center (GL, BC, MY, ZW, KQ, MZ, QW, SZ, JL, YZ, YN, XZ), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Si Zhang
- Geriatric Neuroscience Center (GL, BC, MY, ZW, KQ, MZ, QW, SZ, JL, YZ, YN, XZ), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jingyi Lao
- Geriatric Neuroscience Center (GL, BC, MY, ZW, KQ, MZ, QW, SZ, JL, YZ, YN, XZ), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yijie Zeng
- Geriatric Neuroscience Center (GL, BC, MY, ZW, KQ, MZ, QW, SZ, JL, YZ, YN, XZ), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- Geriatric Neuroscience Center (GL, BC, MY, ZW, KQ, MZ, QW, SZ, JL, YZ, YN, XZ), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; The First School of Clinical Medicine (YN), Southern Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders (YN), Guangzhou, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China (YN), The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xiaomei Zhong
- Geriatric Neuroscience Center (GL, BC, MY, ZW, KQ, MZ, QW, SZ, JL, YZ, YN, XZ), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
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Wang X, Wu H, Wang D, Wang W, Wang W, Jin WQ, Luo J, Jiang W, Tang YL, Ren YP, Yang CL, Ma X, Li R. Reduced suicidality after electroconvulsive therapy is linked to increased frontal brain activity in depressed patients: a resting-state fMRI study. Front Psychiatry 2023; 14:1224914. [PMID: 37502809 PMCID: PMC10368865 DOI: 10.3389/fpsyt.2023.1224914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 06/27/2023] [Indexed: 07/29/2023] Open
Abstract
Objective Suicidality is commonly observed in patients with depressive episodes, and electroconvulsive therapy (ECT) has been found to be effective in treating these patients. However, the role of ECT in suicidality remains unclear. This study used resting-state functional magnetic resonance imaging (rs-fMRI) to explore the changes in brain function before and after ECT in depressed patients with suicidality. Methods In total, 26 depressed patients with suicidality underwent rs-fMRI at baseline and after 8-12 sessions of ECT. In addition, 32 healthy controls (HCs) matched for age, gender, and educational level underwent rs-fMRI once. The amplitude of low-frequency fluctuations (ALFF), the fractional amplitude of low-frequency fluctuations (fALFF), and regional homogeneity (ReHo) were measured to evaluate whole brain function. Differences between the groups and time points (before and after ECT) were compared. Clinical symptoms were assessed using the 17-item Hamilton Depression Scale (HAMD-17) and Beck Scale for Suicide Ideation (BSSI). Results At baseline, patients exhibited decreased ALFF in the right postcentral and precentral gyrus and decreased fALFF in the right supramarginal and postcentral gyrus, left superior frontal gyrus (SFG), as well as the superior and middle temporal gyrus compared to HCs. Patients also had lower ReHo in the left amygdala, anterior cingulate, and postcentral gyrus, and in the right thalamus, insula, and postcentral gyrus. They also exhibited higher ALFF in the bilateral temporal gyrus and insula as well as higher fALFF in the cerebellum. Following ECT, fALFF in the left SFG and orbital frontal cortex (OFC) significantly increased and was inversely correlated with the reduction of BSSI scores (r = -0.416, p = 0.048), whereas no correlation was found with changes in HAMD-17scores. Conclusion Our findings suggest that the left SFG and OFC may play a key role in the mechanism of ECT for suicidality. The decrease of fALFF in the left SFG and OFC may represent a potential mechanism through which ECT effectively treats suicidality in depressed patients.
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Affiliation(s)
- Xue Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Han Wu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Dan Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Wei Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Wen Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Wen-qing Jin
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jiong Luo
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Wei Jiang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yi-lang Tang
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
- Mental Health Service Line, Joseph Maxwell Cleland Atlanta VA Medical Center, Decatur, GA, United States
| | - Yan-ping Ren
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Beijing Institution of Mental Health Care, Beijing, China
| | - Chun-lin Yang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xin Ma
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Rena Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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Westlund Schreiner M, Roberts H, Dillahunt AK, Farstead B, Feldman D, Thomas L, Jacobs RH, Bessette KL, Welsh RC, Watkins ER, Langenecker SA, Crowell SE. Negative association between non-suicidal self-injury in adolescents and default mode network activation during the distraction blocks of a rumination task. Suicide Life Threat Behav 2023; 53:510-521. [PMID: 36942887 PMCID: PMC10441767 DOI: 10.1111/sltb.12960] [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] [Received: 09/08/2022] [Revised: 02/17/2023] [Accepted: 03/06/2023] [Indexed: 03/23/2023]
Abstract
INTRODUCTION Rumination, or repetitive and habitual negative thinking, is associated with psychopathology and related behaviors in adolescents, including non-suicidal self-injury (NSSI). Despite the link between self-reported rumination and NSSI, there is limited understanding of how rumination is represented at the neurobiological level among youth with NSSI. METHOD We collected neuroimaging and rumination data from 39 adolescents with current or past NSSI and remitted major depression. Participants completed a rumination induction fMRI task, consisting of both rumination and distraction blocks. We examined brain activation associated with total lifetime NSSI in the context of the rumination versus distraction contrast. RESULTS Lifetime NSSI was associated with a greater discrepancy in activation during rumination relative to distraction conditions in clusters including the precuneus, posterior cingulate, superior, and middle frontal gyrus, and cerebellum. CONCLUSION Difficulties associated with rumination in adolescents with NSSI may be related to requiring greater cognitive effort to distract from ruminative content in addition to increased attention in the context of ruminative content. Increasing knowledge of neurobiological circuits and nodes associated with rumination and their relationship with NSSI may enable us to better tailor interventions that can facilitate lasting well-being and neurobiological change.
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Affiliation(s)
- Mindy Westlund Schreiner
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
| | | | - Alina K Dillahunt
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
- Department of Psychology, Eastern Michigan University, Ypsilanti, Michigan, USA
| | - Brian Farstead
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
| | - Daniel Feldman
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
| | - Leah Thomas
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
| | - Rachel H Jacobs
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Evanston, Illinois, USA
| | - Katie L Bessette
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
- Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, California, USA
| | - Robert C Welsh
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, California, USA
| | | | - Scott A Langenecker
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
| | - Sheila E Crowell
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
- Department of Psychology, University of Utah, Salt Lake City, Utah, USA
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah, USA
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Can AT, Hermens DF, Mohamed AZ, Shan ZY, Dutton M, Gallay C, Forsyth G, Jamieson D, Lagopoulos J. Treatment response with ketamine in chronic suicidality: An open label functional connectivity study. J Affect Disord 2023; 331:92-100. [PMID: 36963514 DOI: 10.1016/j.jad.2023.03.064] [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: 01/08/2023] [Revised: 03/13/2023] [Accepted: 03/18/2023] [Indexed: 03/26/2023]
Abstract
BACKGROUND Ketamine has recently been proposed as a treatment option for suicidality. Whilst its mechanism of action has been explored at molecular levels, the effect on the brain at the organ level remains unclear. Here we investigate immediate post-treatment and prolonged large-scale resting-state neural network changes to elucidate the neuronal underpinnings associated with ketamine's therapeutic effects. METHODS Twenty-eight adults (aged 22-72 years) participated in the Oral Ketamine Trial On Suicidality, which is an open-label trial of weekly sub-anaesthetic doses of oral ketamine over 6 weeks. MRI was acquired at baseline, post-treatment, and follow-up. Functional connectivity changes at post-treatment and follow-up were examined using seed based and independent component analysis. RESULTS The seed-based connectivity analysis revealed significantly reduced connectivity at post-treatment from the right hippocampus to both right and left superior frontal gyrus, from the left anterior parahippocampus to right superior frontal gyrus, left superior frontal gyrus, right middle frontal gyrus, and left frontal operculum cortex. Compared with baseline, the ICA showed reduced anterior default mode network connectivities to bilateral posterior cingulate cortex, middle and anterior cingulate cortex, lingual gyrus, and cuneus and increased connectivity of the frontoparietal network to the right superior parietal lobule at post-treatment. LIMITATIONS Open label pilot study. CONCLUSIONS We have shown sub-anaesthetic doses of ketamine alters connectivity in networks which have been shown to be aberrantly hyper-connected in numerous psychiatric conditions. These neurocircuitry changes are supported by significant reductions in suicide ideation. Our results provide support for the use of ketamine as a treatment for suicidality.
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Affiliation(s)
- Adem T Can
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Abdalla Z Mohamed
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Zack Y Shan
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Megan Dutton
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Cyrana Gallay
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Grace Forsyth
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Daniel Jamieson
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia.
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9
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Sun J, Ma Y, Guo C, Du Z, Chen L, Wang Z, Li X, Xu K, Luo Y, Hong Y, Yu X, Xiao X, Fang J, Lu J. Distinct patterns of functional brain network integration between treatment-resistant depression and non treatment-resistant depression: A resting-state functional magnetic resonance imaging study. Prog Neuropsychopharmacol Biol Psychiatry 2023; 120:110621. [PMID: 36031163 DOI: 10.1016/j.pnpbp.2022.110621] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/13/2022] [Accepted: 08/21/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND Previous neuroimaging has paid little attention to the differences in brain network integration between patients with treatment-resistant depression(TRD) and non-TRD (nTRD), and the relationship between their impaired brain network integration and clinical symptoms has not been elucidated. METHOD Eighty one major depressive disorder (MDD) patients (40 in TRD, 41 in nTRD) and 40 healthy controls (HCs) were enrolled for the functional magnetic resonance imaging (fMRI) scans. A seed-based functional connectivity (FC) method was used to investigate the brain network abnormalities of default mode network (DMN), affective network (AN), salience network (SN) and cognitive control network (CCN) for the MDD. Finally, the correlation was analyzed between the abnormal FCs and 17-item Hamilton Rating Scale for Depression scale (HAMD-17) scores. RESULTS Compared with the HC group, the FCs in DMN, AN, SN, CCN were altered in both the TRD and nTRD groups. Compared with the nTRD group, FC alterations in the AN and CCN were more abnormal in the TRD group, and the FC alterations were generally decreased at the SN in the TRD group. In addition, the FC values of right dorsolateral prefrontal cortices and left caudate nucleus in the TRD group and the FC values of right subgenual anterior cingulate cortex and left middle temporal gyrus in the nTRD group were positively correlated with HAMD-17 scale scores. CONCLUSIONS Abnormal FCs are present in four brain networks (DMN, AN, SN, CCN) in both the TRD and nTRD groups. Except of DMN, FCs in AN, SN and CCN maybe underlay the neurobiological mechanism in differentiating TRD from nTRD.
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Affiliation(s)
- Jifei Sun
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Yue Ma
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Chunlei Guo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Zhongming Du
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700 Beijing, China
| | - Limei Chen
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Zhi Wang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Xiaojiao Li
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Ke Xu
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Yi Luo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Yang Hong
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Xue Yu
- Beijing First Hospital of Integrated Chinese and Western Medicine, 100026 Beijing, China
| | - Xue Xiao
- Beijing First Hospital of Integrated Chinese and Western Medicine, 100026 Beijing, China
| | - Jiliang Fang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China.
| | - Jie Lu
- Xuanwu Hospital, Capital Medical University, 100053 Beijing, China.
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10
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Dobbertin M, Blair KS, Carollo E, Blair JR, Dominguez A, Bajaj S. Neuroimaging alterations of the suicidal brain and its relevance to practice: an updated review of MRI studies. Front Psychiatry 2023; 14:1083244. [PMID: 37181903 PMCID: PMC10174251 DOI: 10.3389/fpsyt.2023.1083244] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 04/04/2023] [Indexed: 05/16/2023] Open
Abstract
Suicide is a leading cause of death in the United States. Historically, scientific inquiry has focused on psychological theory. However, more recent studies have started to shed light on complex biosignatures using MRI techniques, including task-based and resting-state functional MRI, brain morphometry, and diffusion tensor imaging. Here, we review recent research across these modalities, with a focus on participants with depression and Suicidal Thoughts and Behavior (STB). A PubMed search identified 149 articles specific to our population of study, and this was further refined to rule out more diffuse pathologies such as psychotic disorders and organic brain injury and illness. This left 69 articles which are reviewed in the current study. The collated articles reviewed point to a complex impairment showing atypical functional activation in areas associated with perception of reward, social/affective stimuli, top-down control, and reward-based learning. This is broadly supported by the atypical morphometric and diffusion-weighted alterations and, most significantly, in the network-based resting-state functional connectivity data that extrapolates network functions from well validated psychological paradigms using functional MRI analysis. We see an emerging picture of cognitive dysfunction evident in task-based and resting state fMRI and network neuroscience studies, likely preceded by structural changes best demonstrated in morphometric and diffusion-weighted studies. We propose a clinically-oriented chronology of the diathesis-stress model of suicide and link other areas of research that may be useful to the practicing clinician, while helping to advance the translational study of the neurobiology of suicide.
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Affiliation(s)
- Matthew Dobbertin
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
- Child and Adolescent Psychiatric Inpatient Center, Boys Town National Research Hospital, Boys Town, NE, United States
- *Correspondence: Matthew Dobbertin,
| | - Karina S. Blair
- Program for Trauma and Anxiety in Children (PTAC), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
| | - Erin Carollo
- Stritch School of Medicine, Loyola University Chicago, Chicago, IL, United States
| | - James R. Blair
- Child and Adolescent Mental Health Centre, Mental Health Services, Copenhagen, Denmark
| | - Ahria Dominguez
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
| | - Sahil Bajaj
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
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11
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From Low-Grade Inflammation in Osteoarthritis to Neuropsychiatric Sequelae: A Narrative Review. Int J Mol Sci 2022; 23:ijms232416031. [PMID: 36555670 PMCID: PMC9784931 DOI: 10.3390/ijms232416031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/08/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
Nowadays, osteoarthritis (OA), a common, multifactorial musculoskeletal disease, is considered to have a low-grade inflammatory pathogenetic component. Lately, neuropsychiatric sequelae of the disease have gained recognition. However, a link between the peripheral inflammatory process of OA and the development of neuropsychiatric pathology is not completely understood. In this review, we provide a narrative that explores the development of neuropsychiatric disease in the presence of chronic peripheral low-grade inflammation with a focus on its signaling to the brain. We describe the development of a pro-inflammatory environment in the OA-affected joint. We discuss inflammation-signaling pathways that link the affected joint to the central nervous system, mainly using primary sensory afferents and blood circulation via circumventricular organs and cerebral endothelium. The review describes molecular and cellular changes in the brain, recognized in the presence of chronic peripheral inflammation. In addition, changes in the volume of gray matter and alterations of connectivity important for the assessment of the efficacy of treatment in OA are discussed in the given review. Finally, the narrative considers the importance of the use of neuropsychiatric diagnostic tools for a disease with an inflammatory component in the clinical setting.
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12
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Li W, Wang C, Lan X, Fu L, Zhang F, Ye Y, Liu H, Wu K, Zhou Y, Ning Y. Variability and concordance among indices of brain activity in major depressive disorder with suicidal ideation: A temporal dynamics resting-state fMRI analysis. J Affect Disord 2022; 319:70-78. [PMID: 36075401 DOI: 10.1016/j.jad.2022.08.122] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 08/04/2022] [Accepted: 08/28/2022] [Indexed: 10/14/2022]
Abstract
OBJECTIVE The resting-state functional magnetic resonance imaging (rs-fMRI) have been used to explore functional abnormality of the brain in MDD patients with suicidal ideation (SI). However, few studies reported the variability and concordance of alterations of rs-fMRI indices in MDD with SI. In this study, we aimed to explore the variability and concordance of alterations of rs-fMRI indices in MDD with SI. METHODS A sliding window analysis was performed among 36 MDD patients with SI, 66 MDD patients without SI (NSI), and 50 healthy controls (HCs). Furthermore, the correlation between voxel-wise concordance and cognitive function was examined in the SI group. RESULTS The SI group had a lower dynamics degree centrality (dDC) value than the NSI group in left inferior occipital gyrus, and a lower voxel mirrored homotopic connectivity (dVMHC) value than the NSI group in the right and left inferior occipital gyrus. The mean values of volume wise concordance of HCs group shown higher than SI group and NSI group. SI group revealed decreased voxel-wise concordance in right cerebellum, left fusiform gyrus, left lingual gyrus, right middle temporal gyrus, left postcentral gyrus, and right supplementary motor area compared to NSI group. Moreover, the voxel-wise concordance of left middle occipital gyrus was negatively correlated with verbal learning and memory and working memory in the SI group. LIMITATION This is a cross-sectional analysis, limiting causal inferences. CONCLUSIONS The abnormal voxel-wise concordance of left middle occipital gyrus could be useful in understanding the pathophysiology of MDD patients with SI.
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Affiliation(s)
- Weicheng Li
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China; The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Metal Disorders, Guangzhou, China
| | - Chengyu Wang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Metal Disorders, Guangzhou, China
| | - Xiaofeng Lan
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Metal Disorders, Guangzhou, China
| | - Ling Fu
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China; The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Metal Disorders, Guangzhou, China
| | - Fan Zhang
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China; The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Metal Disorders, Guangzhou, China
| | - Yanxiang Ye
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Metal Disorders, Guangzhou, China
| | - Haiyan Liu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Metal Disorders, Guangzhou, China
| | - Kai Wu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou, China
| | - Yanling Zhou
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Metal Disorders, Guangzhou, China.
| | - Yuping Ning
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China; The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Metal Disorders, Guangzhou, China.
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13
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Ishikawa K, Nemoto K, Shiratori Y, Sodeyama N, Kodama K, Usuniwa H, Yamada N, Yaguchi C, Hori T, Arai T, Tachikawa H. Aberrant resting-state functional connectivity of major depressive disorder with higher risk of suicide. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2022; 1:e35. [PMID: 38868687 PMCID: PMC11114279 DOI: 10.1002/pcn5.35] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 07/03/2022] [Accepted: 07/16/2022] [Indexed: 06/14/2024]
Abstract
Aim Suicide prevention for depressive patients is an important clinical issue in psychiatry. However, not all depressive patients plan or attempt suicide. In this study, we investigated the differences of functional brain networks between a high-risk group and a low-risk group for suicide by comparing resting-state functional connectivity (rsFC). Methods The subjects were 29 patients with major depressive disorder, nine of whom had attempted suicide. The suicidal ideation of all subjects was assessed with the Columbia-Suicide Severity Rating Scale, then the subjects were divided into two groups based on the most severe suicidal ideation (MSI) in their lifetime. We compared rsFC between the two groups. Results Of the 29 subjects, 16 were in the severe MSI group. We found that the severe MSI group members had significantly smaller rsFC in two networks: one comprised the right dorsolateral prefrontal cortex and the default-mode network, and the other comprised the left rostrolateral prefrontal cortex and the striatum, amygdala, and hippocampus. These regions are reported to be associated with rumination, retrieval suppression, and delay discounting (DD). Conclusion Our results suggest that functional networks related to rumination, retrieval suppression, and DD might be impaired in depressive patients with severe suicidal ideation. It might be beneficial for psychiatrists to assess these characteristics in terms of suicide prevention for depressive patients.
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Affiliation(s)
| | - Kiyotaka Nemoto
- Department of Psychiatry, Faculty of MedicineUniversity of TsukubaTsukubaIbarakiJapan
| | - Yuki Shiratori
- Department of Psychiatry, Faculty of MedicineUniversity of TsukubaTsukubaIbarakiJapan
| | - Noriko Sodeyama
- Department of Psychiatry, Faculty of MedicineUniversity of TsukubaTsukubaIbarakiJapan
| | - Kikuko Kodama
- Department of PsychiatryUniversity of Tsukuba HospitalTsukubaIbarakiJapan
| | - Hitoshi Usuniwa
- Ibaraki Prefectural Medical Center of PsychiatryKasamaIbarakiJapan
| | - Noriko Yamada
- Ibaraki Prefectural Medical Center of PsychiatryKasamaIbarakiJapan
| | - Chie Yaguchi
- Ibaraki Prefectural Medical Center of PsychiatryKasamaIbarakiJapan
| | - Takafumi Hori
- Ibaraki Prefectural Medical Center of PsychiatryKasamaIbarakiJapan
| | - Tetsuaki Arai
- Department of Psychiatry, Faculty of MedicineUniversity of TsukubaTsukubaIbarakiJapan
| | - Hirokazu Tachikawa
- Department of Disaster and Community Psychiatry, Faculty of MedicineUniversity of TsukubaTsukubaIbarakiJapan
- Ibaraki Prefectural Research Center of Disaster and Community PsychiatryKasamaIbarakiJapan
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14
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Sun J, Du Z, Ma Y, Chen L, Wang Z, Guo C, Luo Y, Gao D, Hong Y, Zhang L, Han M, Cao J, Hou X, Xiao X, Tian J, Yu X, Fang J, Zhao Y. Altered functional connectivity in first-episode and recurrent depression: A resting-state functional magnetic resonance imaging study. Front Neurol 2022; 13:922207. [PMID: 36119680 PMCID: PMC9475213 DOI: 10.3389/fneur.2022.922207] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 07/28/2022] [Indexed: 01/10/2023] Open
Abstract
Background Functional magnetic resonance imaging (fMRI) studies examining differences in the activity of brain networks between the first depressive episode (FDE) and recurrent depressive episode (RDE) are limited. The current study observed and compared the altered functional connectivity (FC) characteristics in the default mode network (DMN), cognitive control network (CCN), and affective network (AN) between the RDE and FDE. In addition, we further investigated the correlation between abnormal FC and clinical symptoms. Methods We recruited 32 patients with the RDE, 31 patients with the FDE, and 30 healthy controls (HCs). All subjects underwent resting-state fMRI. The seed-based FC method was used to analyze the abnormal brain networks in the DMN, CCN, and AN among the three groups and further explore the correlation between abnormal FC and clinical symptoms. Results One-way analysis of variance showed significant differences the FC in the DMN, CCN, and AN among the three groups in the frontal, parietal, temporal, and precuneus lobes and cerebellum. Compared with the RDE group, the FDE group generally showed reduced FC in the DMN, CCN, and AN. Compared with the HC group, the FDE group showed reduced FC in the DMN, CCN, and AN, while the RDE group showed reduced FC only in the DMN and AN. Moreover, the FC in the left posterior cingulate cortices and the right inferior temporal gyrus in the RDE group were positively correlated with the 17-item Hamilton Rating Scale for Depression (HAMD-17), and the FC in the left dorsolateral prefrontal cortices and the right precuneus in the FDE group were negatively correlated with the HAMD-17. Conclusions The RDE and FDE groups showed multiple abnormal brain networks. However, the alterations of abnormal FC were more extensive and intensive in the FDE group.
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Affiliation(s)
- Jifei Sun
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhongming Du
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yue Ma
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Limei Chen
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhi Wang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Chunlei Guo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yi Luo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Deqiang Gao
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yang Hong
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Lei Zhang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ming Han
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jiudong Cao
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaobing Hou
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China
| | - Xue Xiao
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China
| | - Jing Tian
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China
| | - Xue Yu
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China
| | - Jiliang Fang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: Jiliang Fang
| | - Yanping Zhao
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Yanping Zhao
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15
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Langenecker SA, Westlund Schreiner M, Thomas LR, Bessette KL, DelDonno SR, Jenkins LM, Easter RE, Stange JP, Pocius SL, Dillahunt A, Love TM, Phan KL, Koppelmans V, Paulus M, Lindquist MA, Caffo B, Mickey BJ, Welsh RC. Using Network Parcels and Resting-State Networks to Estimate Correlates of Mood Disorder and Related Research Domain Criteria Constructs of Reward Responsiveness and Inhibitory Control. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:76-84. [PMID: 34271215 PMCID: PMC8748287 DOI: 10.1016/j.bpsc.2021.06.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 05/14/2021] [Accepted: 06/13/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Resting-state graph-based network edges can be powerful tools for identification of mood disorders. We address whether these edges can be integrated with Research Domain Criteria (RDoC) constructs for accurate identification of mood disorder-related markers, while minimizing active symptoms of disease. METHODS We compared 132 individuals with currently remitted or euthymic mood disorder with 65 healthy comparison participants, ages 18-30 years. Subsets of smaller brain parcels, combined into three prominent networks and one network of parcels overlapping across these networks, were used to compare edge differences between groups. Consistent with the RDoC framework, we evaluated individual differences with performance measure regressors of inhibitory control and reward responsivity. Within an omnibus regression model, we predicted edges related to diagnostic group membership, performance within both RDoC domains, and relevant interactions. RESULTS There were several edges of mood disorder group, predominantly of greater connectivity across networks, different than those related to individual differences in inhibitory control and reward responsivity. Edges related to diagnosis and inhibitory control did not align well with prior literature, whereas edges in relation to reward responsivity constructs showed greater alignment with prior literature. Those edges in interaction between RDoC constructs and diagnosis showed a divergence for inhibitory control (negative interactions in default mode) relative to reward (positive interactions with salience and emotion network). CONCLUSIONS In conclusion, there is evidence that prior simple network models of mood disorders are currently of insufficient biological or diagnostic clarity or that parcel-based edges may be insufficiently sensitive for these purposes.
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Affiliation(s)
| | | | - Leah R Thomas
- Department of Psychiatry, University of Utah, Salt Lake City, Utah; Department of Psychology, University of Utah, Salt Lake City, Utah
| | - Katie L Bessette
- Department of Psychiatry, University of Utah, Salt Lake City, Utah; Department of Psychiatry & Psychology, University of Illinois at Chicago, Chicago, Illinois
| | - Sophia R DelDonno
- Department of Psychiatry & Psychology, University of Illinois at Chicago, Chicago, Illinois
| | - Lisanne M Jenkins
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Rebecca E Easter
- Department of Psychiatry & Psychology, University of Illinois at Chicago, Chicago, Illinois
| | - Jonathan P Stange
- Department of Psychiatry & Psychology, University of Illinois at Chicago, Chicago, Illinois; Department of Psychology, University of Southern California, Los Angeles, California
| | | | - Alina Dillahunt
- Department of Psychiatry, University of Utah, Salt Lake City, Utah
| | - Tiffany M Love
- Department of Psychiatry, University of Utah, Salt Lake City, Utah
| | - K Luan Phan
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio
| | | | - Martin Paulus
- Laureate Institute for Brain Research, Tulsa, Oklahoma
| | | | - Brian Caffo
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Brian J Mickey
- Department of Psychiatry, University of Utah, Salt Lake City, Utah
| | - Robert C Welsh
- Department of Psychiatry, University of Utah, Salt Lake City, Utah
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Data-driven analysis of kappa opioid receptor binding in major depressive disorder measured by positron emission tomography. Transl Psychiatry 2021; 11:602. [PMID: 34839360 PMCID: PMC8627509 DOI: 10.1038/s41398-021-01729-5] [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: 09/28/2021] [Revised: 10/26/2021] [Accepted: 11/02/2021] [Indexed: 11/08/2022] Open
Abstract
Preclinical studies have implicated kappa opioid receptors (KORs) in stress responses and depression-related behaviors, but evidence from human studies is limited. Here we present results of a secondary analysis of data acquired using positron emission tomography (PET) with the KOR radiotracer [11C]GR103545 in 10 unmedicated, currently depressed individuals with major depressive disorder (MDD; 32.6 ± 6.5 years, 5 women) and 13 healthy volunteers (34.8 ± 10 years, 6 women). Independent component analysis was performed to identify spatial patterns of coherent variance in KOR binding (tracer volume of distribution, VT) across all subjects. Expression of each component was compared between groups and relationships to symptoms were explored using the 17-item Hamilton Depression Rating Scale (HDRS). Three components of variation in KOR availability across ROIs were identified, spatially characterized by [11C]GR103545 VT in (1) bilateral frontal lobe; (2) occipital and parietal cortices, right hippocampus, and putamen; and (3) right anterior cingulate, right superior frontal gyrus and insula, coupled to negative loading in left middle cingulate. In MDD patients, component 3 was negatively associated with symptom severity on the HDRS (r = -0.85, p = 0.0021). There were no group-wise differences in expression of any component between patients and controls. These preliminary findings suggest that KOR signaling in cortical regions relevant to depression, particularly right anterior cingulate, could reflect MDD pathophysiology.
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17
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Barredo J, Bozzay ML, Primack JM, Schatten HT, Armey MF, Carpenter LL, Philip NS. Translating Interventional Neuroscience to Suicide: It's About Time. Biol Psychiatry 2021; 89:1073-1083. [PMID: 33820628 PMCID: PMC8603185 DOI: 10.1016/j.biopsych.2021.01.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 01/19/2021] [Accepted: 01/21/2021] [Indexed: 12/26/2022]
Abstract
Despite significant advances in psychiatric and psychological treatment over the last 30 years, suicide deaths have increased. Unfortunately, neuroscience insights have yielded few translational interventions that specifically target suicidal thoughts and behaviors. In our view, this is attributable to two factors. The first factor is our limited integration of neurocircuitry models with contemporary suicide theory. The second challenge is inherent to the variable nature of suicide risk over time. Few interventional neuroscience studies evaluate how temporal fluctuations in risk affect treatment, despite evidence that temporality is a key component distinguishing suicide phenotypes. To wit, individual variability in risk trajectories may provide different treatment targets to engage as a patient moves between suicidal ideation and attempt. Here, we first review contemporary ideation-to-action theories of suicide from a neurobiological perspective, focusing on valence and executive function circuits and the key role of state-induced (e.g., within stressful contexts) functional modulation on longitudinal risk trajectories. We then describe neural correlates of suicide reduction following various interventions, ranging from circuit specific (i.e., transcranial magnetic stimulation) to broader pharmacological (i.e., ketamine, lithium) to psychological (i.e., brief cognitive therapy). We then introduce novel strategies for tracking risk in naturalistic settings and real time using ecological momentary interventions. We provide a critical integration of the literature focusing on the intersection between targets and temporality, and we conclude by proposing novel research designs integrating real-time and biologically based interventions to generate novel strategies for future suicide reduction research.
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Affiliation(s)
- Jennifer Barredo
- VA RR&D Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, Rhode Island; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island; COBRE Center for Neuromodulation and Neuroimaging, Providence, Rhode Island.
| | - Melanie L Bozzay
- VA RR&D Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, Rhode Island; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Jennifer M Primack
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island; Psychosocial Research Program, Butler Hospital, Providence, Rhode Island; Providence VA Medical Center, Providence, Rhode Island
| | - Heather T Schatten
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island; Psychosocial Research Program, Butler Hospital, Providence, Rhode Island
| | - Michael F Armey
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island; Psychosocial Research Program, Butler Hospital, Providence, Rhode Island
| | - Linda L Carpenter
- VA RR&D Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, Rhode Island; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island; COBRE Center for Neuromodulation and Neuroimaging, Providence, Rhode Island
| | - Noah S Philip
- VA RR&D Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, Rhode Island; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island; COBRE Center for Neuromodulation and Neuroimaging, Providence, Rhode Island
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18
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Wagner G, Li M, Sacchet MD, Richard-Devantoy S, Turecki G, Bär KJ, Gotlib IH, Walter M, Jollant F. Functional network alterations differently associated with suicidal ideas and acts in depressed patients: an indirect support to the transition model. Transl Psychiatry 2021; 11:100. [PMID: 33542184 PMCID: PMC7862288 DOI: 10.1038/s41398-021-01232-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 01/08/2021] [Accepted: 01/18/2021] [Indexed: 02/08/2023] Open
Abstract
The transition from suicidal ideas to a suicide act is an important topic of research for the identification of those patients at risk of acting out. We investigated here whether specific brain activity and connectivity measures at rest may be differently associated with suicidal thoughts and behaviors. A large sample of acutely depressed patients with major depressive disorder was recruited in three different centers (Montreal/Canada, Stanford/USA, and Jena/Germany), covering four different phenotypes: patients with a past history of suicide attempt (n = 53), patients with current suicidal ideas but no past history of suicide attempt (n = 40), patients without current suicidal ideation nor past suicide attempts (n = 42), and healthy comparison subjects (n = 107). 3-T resting-state functional magnetic resonance imaging (fMRI) measures of the amplitude of low-frequency fluctuation (ALFF) and degree centrality (DC) were obtained and examined in a whole-brain data-driven analysis. Past suicide attempt was associated with a double cortico-subcortical dissociation in ALFF values. Decreased ALFF and DC values mainly in a frontoparietal network and increased ALFF values in some subcortical regions (hippocampus and thalamus) distinguished suicide attempters from suicide ideators, patient controls, and healthy controls. No clear neural differences were identified in relation to suicidal ideas. Suicide attempters appear to be a distinct subgroup of patients with widespread brain alterations in functional activity and connectivity that could represent factors of vulnerability. Our results also indirectly support at the neurobiological level the relevance of the transition model described at the psychological and clinical levels. The brain bases of suicidal ideas occurrence in depressed individuals needs further investigations.
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Affiliation(s)
- Gerd Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07743, Jena, Germany.
| | - Meng Li
- grid.275559.90000 0000 8517 6224Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07743 Jena, Germany
| | - Matthew D. Sacchet
- grid.240206.20000 0000 8795 072XCenter for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard Medical School, Belmont, MA USA
| | - Stéphane Richard-Devantoy
- grid.412078.80000 0001 2353 5268McGill group for Suicide Studies, McGill University & Douglas Mental Health University Institute, Montréal, QC Canada
| | - Gustavo Turecki
- grid.412078.80000 0001 2353 5268McGill group for Suicide Studies, McGill University & Douglas Mental Health University Institute, Montréal, QC Canada
| | - Karl-Jürgen Bär
- grid.275559.90000 0000 8517 6224Department of Gerontopsychiatry and Psychosomatics, Jena University Hospital, Jena, Germany
| | - Ian H. Gotlib
- grid.168010.e0000000419368956Department of Psychology, Stanford University, Stanford, CA USA
| | - Martin Walter
- grid.275559.90000 0000 8517 6224Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07743 Jena, Germany
| | - Fabrice Jollant
- grid.412078.80000 0001 2353 5268McGill group for Suicide Studies, McGill University & Douglas Mental Health University Institute, Montréal, QC Canada ,Université de Paris, Faculté de médecine, Paris, France ,grid.414435.30000 0001 2200 9055GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France ,grid.411165.60000 0004 0593 8241Psychiatry Department, CHU Nîmes, Nîmes, France ,grid.7429.80000000121866389Equipe Moods, INSERM, UMR-1178 Paris, France
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19
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Ballard ED, Gilbert JR, Wusinich C, Zarate CA. New Methods for Assessing Rapid Changes in Suicide Risk. Front Psychiatry 2021; 12:598434. [PMID: 33574775 PMCID: PMC7870718 DOI: 10.3389/fpsyt.2021.598434] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 01/05/2021] [Indexed: 01/16/2023] Open
Abstract
Rapid-acting interventions for the suicide crisis have the potential to transform treatment. In addition, recent innovations in suicide research methods may similarly expand our understanding of the psychological and neurobiological correlates of suicidal thoughts and behaviors. This review discusses the limitations and challenges associated with current methods of suicide risk assessment and presents new techniques currently being developed to measure rapid changes in suicidal thoughts and behavior. These novel assessment strategies include ecological momentary assessment, digital phenotyping, cognitive and implicit bias metrics, and neuroimaging paradigms and analysis methodologies to identify neural circuits associated with suicide risk. This review is intended to both describe the current state of our ability to assess rapid changes in suicide risk as well as to explore future directions for clinical, neurobiological, and computational markers research in suicide-focused clinical trials.
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Affiliation(s)
- Elizabeth D. Ballard
- Section on the Neurobiology and Treatment of Mood Disorders, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States
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20
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Averill LA, Fouda S, Murrough JW, Abdallah CG. Chronic stress pathology and ketamine-induced alterations in functional connectivity in major depressive disorder: An abridged review of the clinical evidence. ADVANCES IN PHARMACOLOGY 2020; 89:163-194. [PMID: 32616206 DOI: 10.1016/bs.apha.2020.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
A paradigm shift in the conceptualization of the neurobiology of depression and the serendipitous discovery of ketamine's rapid-acting antidepressant (RAAD) effects has ushered in a new era of innovative research and novel drug development. Since the initial discovery of ketamine's RAAD effects, multiple studies have supported its short-term efficacy for fast-tracked improvements in treatment-resistant depression. Evidence from MRI studies have repeatedly demonstrated functional connectivity alterations in stress- and trauma-related disorders suggesting this may be a viable biomarker of chronic stress pathology (CSP). Human mechanistic studies further support this by coupling functional connectivity to ketamine's RAAD effects including connectivity to glutamate neurotransmission, ketamine to normalized connectivity, and these advantageous normalizations to symptom improvement/ketamine response. This review provides an abridged discussion of the suspected neurobiological underpinnings of ketamine's RAAD effects, highlighting ketamine-induced alterations in prefrontal, striatal, and anterior cingulate cortex functional connectivity in major depressive disorder. We present a model of CSP underscoring the role of synaptic loss and dysconnectivity and discuss how ketamine may be used both as (1) a treatment to restore and normalize these stress-induced neural alterations and (2) a tool to study potential biomarkers of CSP and treatment response. We conclude by noting challenges and future directions including heterogeneity, sex differences, the role of early life stress, and the need for proliferation of new methods, paradigms, and tools that will optimize signal and allow analyses at different levels of complexity, according to the needs of the question at hand, perhaps by thinking hierarchically about both clinical and biological phenotypes.
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Affiliation(s)
- Lynnette A Averill
- Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
| | - Samar Fouda
- Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - James W Murrough
- Department of Psychiatry, Depression and Anxiety Center for Discovery and Treatment, Icahn School of Medicine of Mount Sinai, New York, NY, United States; Department of Neuroscience, Icahn School of Medicine of Mount Sinai, New York, NY, United States
| | - Chadi G Abdallah
- Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
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