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Thompson RJ, Whalen DJ, Gilbert K, Tillman R, Hennefield L, Donohue MR, Hoyniak CP, Barch DM, Luby JL. Preadolescent Suicidal Thoughts and Behaviors: An Intensive Longitudinal Study of Risk Factors. J Am Acad Child Adolesc Psychiatry 2025; 64:375-385. [PMID: 38604472 PMCID: PMC11512795 DOI: 10.1016/j.jaac.2024.03.018] [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: 09/05/2023] [Revised: 03/06/2024] [Accepted: 04/02/2024] [Indexed: 04/13/2024]
Abstract
OBJECTIVE Dramatic increases in rates of suicidal thoughts and behaviors (STBs) among youth highlight the need to pinpoint early risk factors. This study used intensive longitudinal sampling to assess what the concurrent associations were between risk factors and STB status, how proximal changes in risk factors were related to STB status, and how risk factors prospectively predicted changes in STB status in a preadolescent sample enriched for early childhood psychopathology. METHOD A total of 192 participants were included from the Parent-Child Interaction Therapy-Emotional Development (PCIT-ED) Study, a longitudinal study of children with and without preschool depression. Participants 7 to 12 years of age completed a diagnostic interview, followed by 12 months of intensive longitudinal sampling, assessing experiences of suicidal ideation and 11 psychosocial variables with known links to STBs in adolescents and adults. Preadolescents with STB history (high-risk) received surveys weekly, and those without STB history (lower-risk) received surveys monthly. RESULTS Female sex, elevated depressive symptoms, greater use of expressive suppression and rumination, emotional clarity, and perceived burdensomeness were uniquely concurrently associated with the likelihood of STB endorsement. Within the high-risk group, (1) increases in depression, expressive suppression, rumination, and perceived burdensomeness, and decreases in positive affect from weekt to weekt+1 were associated with a higher likelihood of a positive STB status at weekt+1; and (2) higher expressive suppression, perceived burdensomeness, and caregiver criticism and conflict at weekt compared to participants' mean levels prospectively predicted increases in the likelihood of a positive STB report from weekt to weekt+1. CONCLUSION Psychosocial factors influencing STBs in adolescents and adults also affect preadolescents in day-to-day life. Expressive suppression and perceived burdensomeness consistently emerged as novel risk indicators and potential targets for treatment. In addition, increases in depression, rumination, and caregiver criticism and conflict, as well as decreases in positive affect, might prompt heightened STB screening and assessments for preadolescents with a history of STBs. PLAIN LANGUAGE SUMMARY There have been large increases in rates of suicidal thoughts and behaviors (STBs) among youth, highlighting the need to identify early risk factors in preadolescents. Over one year, 192 seven- to 12-year-old Midwestern children, some of whom had a history of STBs, repeatedly reported on several risk factors and occurrence of STBs over the previous week or month. Suppressing one's emotions and feeling like a burden emerged as risk factors and predicted the increased likelihood of the emergence of STBs, suggesting these may be potential targets for treatment. Findings also suggest that increases in depression, rumination, and caregiver criticism and conflict, as well as decreases in positive emotion, should prompt STB screening and assessments for preadolescents with a history of STBs. DIVERSITY & INCLUSION STATEMENT We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. While citing references scientifically relevant for this work, we also actively worked to promote sex and gender balance in our reference list.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Joan L Luby
- Washington University in St. Louis, St. Louis, Missouri
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Corsi-Zuelli F, Donohoe G, Griffiths SL, Del-Ben CM, Watson AJ, Burke T, Lalousis PA, McKernan D, Morris D, Kelly J, McDonald C, Patlola SR, Pariante C, Barnes NM, Khandaker GM, Suckling J, Deakin B, Upthegrove R, Dauvermann MR. Depressive and Negative Symptoms in the Early and Established Stages of Schizophrenia: Integrating Structural Brain Alterations, Cognitive Performance, and Plasma Interleukin 6 Levels. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2025; 5:100429. [PMID: 39911538 PMCID: PMC11795630 DOI: 10.1016/j.bpsgos.2024.100429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Revised: 11/18/2024] [Accepted: 11/22/2024] [Indexed: 02/07/2025] Open
Abstract
Background Depressive and negative symptoms are related to poor functional outcomes in schizophrenia. Cognitive deficits, reduced brain cortical thickness and volumes, and inflammation may contribute to depressive and negative symptoms, but pharmacological treatment and disease progression may confound the associations. Methods We evaluated whether higher plasma interleukin 6 (IL-6) levels would be associated with more severe negative or depressive symptoms in schizophrenia and explored illness stage utilizing early (BeneMin [Benefit of Minocycline on Negative Symptoms of Psychosis: Extent and Mechanism], n = 201, 72.8% male) and established (iRELATE [Immune Response & Social Cognition in Schizophrenia], n = 94, 67.3% male) schizophrenia cohorts. Using structural equation modeling in a subsample (iRELATE: n = 42, 69.0% male; BeneMin: n = 102, 76.5% male) with data on structural brain metrics (cortical thickness and volume), general cognitive performance, and plasma IL-6 levels, we assessed the interrelationships between these variables on depressive and negative symptom severity in early and established schizophrenia samples combined and in early schizophrenia only. All analyses were adjusted for sex, age, and chlorpromazine equivalent dose. Results Higher plasma IL-6 levels were related to more severe depressive symptoms in early schizophrenia (p < .05) and negative symptoms in established schizophrenia (p < .05). Structural equation modeling findings in early and established schizophrenia samples combined and early schizophrenia only showed that the interrelationship between higher plasma IL-6 levels, structural brain metrics, and general cognitive performance did not predict the severity of depressive and negative symptoms (p > .05). Higher plasma IL-6 levels and lower general cognitive performance were associated with reduced brain metrics (p < .05). Conclusions Our results indicate that higher plasma IL-6 levels may be differently associated with the severity of depressive and negative symptoms dependent on the illness stage. Future work identifying elevated levels of inflammation in larger samples may allow stratification and personalized intervention by subgroups who are at risk of poor outcomes.
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Affiliation(s)
- Fabiana Corsi-Zuelli
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, United Kingdom
- Department of Neurosciences and Behaviour, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Gary Donohoe
- Centre for Neuroimaging, Cognition and Genomics, School of Psychology, University of Galway, Galway, Ireland
| | - Siân Lowri Griffiths
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, United Kingdom
| | - Cristina M. Del-Ben
- Department of Neurosciences and Behaviour, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Andrew J. Watson
- Department of Clinical and Motor Neuroscience, University College London, Queen Square Institute of Neurology, London, United Kingdom
| | - Tom Burke
- Centre for Neuroimaging, Cognition and Genomics, School of Psychology, University of Galway, Galway, Ireland
| | - Paris A. Lalousis
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom
| | - Declan McKernan
- Pharmacology & Therapeutics, School of Medicine, University of Galway, Galway, Ireland
| | - Derek Morris
- Centre for Neuroimaging, Cognition and Genomics, School of Psychology, University of Galway, Galway, Ireland
| | - John Kelly
- Pharmacology & Therapeutics, School of Medicine, University of Galway, Galway, Ireland
| | - Colm McDonald
- Centre for Neuroimaging, Cognition and Genomics, School of Psychology, University of Galway, Galway, Ireland
| | - Saahithh R. Patlola
- Pharmacology & Therapeutics, School of Medicine, University of Galway, Galway, Ireland
| | - Carmine Pariante
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom
| | - Nicholas M. Barnes
- College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Golam M. Khandaker
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, United Kingdom
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom
| | - Bill Deakin
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, School of the Biological Sciences, University of Manchester, Manchester, United Kingdom
| | - Rachel Upthegrove
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, United Kingdom
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Maria R. Dauvermann
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, United Kingdom
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Cheng PZ, Lee HC, Lane TJ, Hsu TY, Duncan NW. Structural alterations in a rumination-related network in patients with major depressive disorder. Psychiatry Res Neuroimaging 2024; 345:111911. [PMID: 39481246 DOI: 10.1016/j.pscychresns.2024.111911] [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: 02/27/2024] [Revised: 09/25/2024] [Accepted: 10/18/2024] [Indexed: 11/02/2024]
Abstract
Rumination is a common symptom in major depressive disorder (MDD). Previous work has connected individual differences in rumination to structural properties in various brain regions. Some of these, such as the dorsolateral prefrontal cortex (dlPFC), have also been highlighted as being altered in MDD, suggesting a connection between structural changes and ruminative symptoms. Although informative, such localised relations have limitations in the context of a network view of the brain. To further investigate rumination-related structural changes in depression, and to situate these within potential functional networks, we acquired T1-weighted structural MRI data from patients with MDD (n = 32) and controls (n = 69). Rumination was measured with the Rumination Response Scale. Surface-based, whole-brain analysis of cortical grey-matter identified group differences in the dlPFC that were, however, not related to rumination. Instead, rumination was correlated with grey-matter properties in the right precuneus. Using normative functional connectivity analysis on an independent sample (n = 100), we show these two regions to be interconnected. Further developing a network-based perspective, it was shown that the rumination-related precuneus region is connected with networks associated with processes such as executive function, autobiographical memory, and visual perception. Notably, these processes have been connected to rumination. These results suggest that rumination in depression may be linked to focal structural changes. The effects of these focal changes on rumination may then be connected to their influence on distributed functional networks.
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Affiliation(s)
- Paul Z Cheng
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
| | - Hsin-Chien Lee
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan; Graduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan
| | - Timothy J Lane
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan; Brain and Consciousness Research Centre, Taipei Medical University, Taipei, Taiwan; Institute of European and American Studies, Academia Sinica, Taipei, Taiwan
| | - Tzu-Yu Hsu
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
| | - Niall W Duncan
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan.
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Campos S, Nuñez D, Pérez JC, Robinson J. Characterization of Psychopathology in Latin American Adolescents Using a Web-Based Screening Tool: Cross-Sectional Study. JMIR Form Res 2024; 8:e57038. [PMID: 39116425 PMCID: PMC11342013 DOI: 10.2196/57038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 05/28/2024] [Accepted: 06/15/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Mental health problems and suicide ideation are common in adolescents. Early detection of these issues could prevent the escalation of mental health-related symptoms in the long term. Moreover, characterizing different profiles of prevalent symptoms in conjunction with emotional regulation strategies could guide the design of specific interventions. The use of web-based screening (WBS) tools has been regarded as a suitable strategy to timely detect symptomatology while improving the appeal, cost, timeliness, and reach of detection in young populations. However, the evidence regarding the accuracy of these approaches is not fully conclusive. OBJECTIVE The study aims (1) to examine the capability of a WBS to identify adolescents with psychiatric symptoms and suicidality and (2) to characterize the mental health profiles of a large sample of adolescents using WBS. METHODS A total of 1599 Latin American Spanish-speaking adolescents (mean age 15.56, SD 1.34 years), consisting of 47.3% (n=753) female, 98.5% Chilean (n=1570), and 1.5% Venezuelan (n=24) participants, responded to a mental health WBS. A randomized subsample of participants also responded to the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). McNemar χ2 and receiver-operating characteristic curves tested the detection accuracy of WBS contrasted with the MINI-KID. Latent profile analyses explored the symptomatic and emotional regulation profiles of participants. RESULTS Both measures showed an adequate level of agreement (area under the curve per symptom domain ranging from 0.70 to 0.89); however, WBS yielded a higher prevalence than MINI-KID for all psychiatric symptoms, except suicide ideation and depression. Latent profile analyses yielded 4 profiles-one of them presented elevated psychopathological symptoms, constituting 11% of the sample (n=175). Rumination (odds ratio [OR] 130.15, 95% CI 51.75-439.89; P<.001), entrapment (OR 96.35, 95% CI 29.21-317.79; P<.001), and defeat (OR 156.79, 95% CI 50.45-487.23; P<.001) contributed significantly to the prediction of latent profile memberships, while cognitive reappraisal did not contribute to the prediction of any latent profile memberships, and expressive suppression was only associated to profile-2 membership. CONCLUSIONS WBS is acceptable for the timely detection of adolescents at risk of mental health conditions. Findings from the symptomatic and emotional regulation profiles highlight the need for comprehensive assessments and differential interventions.
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Affiliation(s)
- Susana Campos
- Center of Applied Psychology, Faculty of Psychology, University of Talca, campus Talca, Talca, Chile
- Millennium Nucleus to Improve the Mental Health of Adolescents and Youths (Imhay), Santiago, Chile
| | - Daniel Nuñez
- Millennium Nucleus to Improve the Mental Health of Adolescents and Youths (Imhay), Santiago, Chile
- Center of Cognitive Sciences, Faculty of Psychology, University of Talca, Talca, Chile
- Faculty of Psychology, University of Talca, Campus Talca, Talca, Chile
| | - J Carola Pérez
- Instituto de Bienestar Socioemocional, Facultad de Psicología, Universidad del Desarrollo, Santiago, Chile
| | - Jo Robinson
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
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Li Q, Zhao Y, Hu Y, Liu Y, Wang Y, Zhang Q, Long F, Chen Y, Wang Y, Li H, Poels EMP, Kamperman AM, Sweeney JA, Kuang W, Li F, Gong Q. Linked patterns of symptoms and cognitive covariation with functional brain controllability in major depressive disorder. EBioMedicine 2024; 106:105255. [PMID: 39032426 PMCID: PMC11324849 DOI: 10.1016/j.ebiom.2024.105255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 06/14/2024] [Accepted: 07/08/2024] [Indexed: 07/23/2024] Open
Abstract
BACKGROUND Controllability analysis is an approach developed for evaluating the ability of a brain region to modulate function in other regions, which has been found to be altered in major depressive disorder (MDD). Both depressive symptoms and cognitive impairments are prominent features of MDD, but the case-control differences of controllability between MDD and controls can not fully interpret the contribution of both clinical symptoms and cognition to brain controllability and linked patterns among them in MDD. METHODS Sparse canonical correlation analysis was used to investigate the associations between resting-state functional brain controllability at the network level and clinical symptoms and cognition in 99 first-episode medication-naïve patients with MDD. FINDINGS Average controllability was significantly correlated with clinical features. The average controllability of the dorsal attention network (DAN) and visual network had the highest correlations with clinical variables. Among clinical variables, depressed mood, suicidal ideation and behaviour, impaired work and activities, and gastrointestinal symptoms were significantly negatively associated with average controllability, and reduced cognitive flexibility was associated with reduced average controllability. INTERPRETATION These findings highlight the importance of brain regions in modulating activity across brain networks in MDD, given their associations with symptoms and cognitive impairments observed in our study. Disrupted control of brain reconfiguration of DAN and visual network during their state transitions may represent a core brain mechanism for the behavioural impairments observed in MDD. FUNDING National Natural Science Foundation of China (82001795 and 82027808), National Key R&D Program (2022YFC2009900), and Sichuan Science and Technology Program (2024NSFSC0653).
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Affiliation(s)
- Qian Li
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, PR China
| | - Youjin Zhao
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, PR China
| | - Yongbo Hu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, PR China
| | - Yang Liu
- Academy of Mathematics and Systems Science Chinese, Academy of Science, Beijing, China
| | - Yaxuan Wang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, PR China
| | - Qian Zhang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, PR China
| | - Fenghua Long
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, PR China
| | - Yufei Chen
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, PR China
| | - Yitian Wang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, PR China
| | - Haoran Li
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, PR China
| | - Eline M P Poels
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Astrid M Kamperman
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - John A Sweeney
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Department of Psychiatry and Behavioural Neuroscience, University of Cincinnati, Cincinnati, OH, 45219, USA
| | - Weihong Kuang
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, PR China
| | - Fei Li
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, PR China.
| | - Qiyong Gong
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, PR China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, PR China; Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China.
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Huang X, Fan B, Jiang Y, Li Y, Chen Y, Zhao H, Jiang Y, Wang W, Guo L, Chen Y, Liu Y, Li Z, Wong S, McIntyre RS, Han X, Lu C. Associations of rumination with suicidal ideation and suicide attempts amongst individuals with major depressive disorder: A 12-month longitudinal study in China. Compr Psychiatry 2024; 132:152472. [PMID: 38513451 DOI: 10.1016/j.comppsych.2024.152472] [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: 12/04/2023] [Revised: 02/17/2024] [Accepted: 03/08/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND This study aimed to explore the longitudinal associations of rumination with suicidal ideation and suicide attempts in individuals with major depressive disorder (MDD). METHODS Participants were derived from the Depression Cohort in China study (DCC). Those who completed at least one follow-up visit during the 12 months were included in the analysis. Dimensions of rumination including brooding and reflection were each measured using five items of the Ruminative Responses Scale. Suicidal ideation was assessed using the Beck Scale for Suicide Ideation. Suicide attempts were also assessed and all were analyzed with generalized estimating equations. RESULTS Our final sample included 532 participants aged 18 to 59 years (mean [SD], 26.91 [6.94] years) consisting of 148 (27.8%) males and 384 (72.2%) females. After adjusting for temporal trend and potential confounders, individuals with higher levels of reflection were more likely to report suicidal ideation (AOR =1.11, 95% CI:1.01-1.22). However, no statistically significant association was found between brooding and suicidal ideation (AOR =1.06, 95% CI:0.96-1.17). Conversely, individuals with higher levels of brooding were more likely to report suicide attempts (AOR =1.13, 95% CI:1.02-1.24), while no statistically significant association was observed between reflection and suicide attempts (AOR =0.91, 95% CI:0.82-1.01). CONCLUSION Rumination reflects a disturbance in cognitive emotional processing and manifests in different dimensions. Our findings suggest that high levels of reflection and brooding may be associated with a higher likelihood of having suicidal ideation and suicide attempts, respectively. However, it should be interpreted with caution, given that effect sizes are small.
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Affiliation(s)
- Xinyu Huang
- Department of Medical statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Beifang Fan
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Yingcheng Jiang
- Department of Medical statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yanzhi Li
- Department of Medical statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Ya Chen
- Department of Medical statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Hao Zhao
- Department of Medical statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yunbin Jiang
- Department of Medical statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Wanxin Wang
- Department of Medical statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Lan Guo
- Department of Medical statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yan Chen
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Yifeng Liu
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Zehui Li
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Sabrina Wong
- Brain and Cognition Discovery Foundation, Toronto, ON, Canada; Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Roger S McIntyre
- Brain and Cognition Discovery Foundation, Toronto, ON, Canada; Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Xue Han
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China.
| | - Ciyong Lu
- Department of Medical statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou 510080, China.
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7
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Bae EB, Han KM. A structural equation modeling approach using behavioral and neuroimaging markers in major depressive disorder. J Psychiatr Res 2024; 171:246-255. [PMID: 38325105 DOI: 10.1016/j.jpsychires.2024.02.014] [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: 07/18/2023] [Revised: 12/16/2023] [Accepted: 02/01/2024] [Indexed: 02/09/2024]
Abstract
Major depressive disorder (MDD) has consistently proven to be a multifactorial and highly comorbid disease. Despite recent depression-related research demonstrating causalities between MDD-related factors and a small number of variables, including brain structural changes, a high-statistical power analysis of the various factors is yet to be conducted. We retrospectively analyzed data from 155 participants (84 healthy controls and 71 patients with MDD). We used magnetic resonance imaging and diffusion tensor imaging data, scales assessing childhood trauma, depression severity, cognitive dysfunction, impulsivity, and suicidal ideation. To simultaneously evaluate the causalities between multivariable, we implemented two types of MDD-specified structural equation models (SEM), the behavioral and neurobehavioral models. Behavioral SEM showed significant results in the MDD group: Comparative Fit Index [CFI] = 1.000, Root Mean Square Error of Approximation [RMSEA]) = 0.000), with a strong correlation in the scales for childhood trauma, depression severity, suicidal ideation, impulsivity, and cognitive dysfunction. Based on behavioral SEM, we established neurobehavioral models showing the best-fit in MDD, especially including the right cingulate cortex, central to the posterior corpus callosum, right putamen, pallidum, whole brainstem, and ventral diencephalon, including the thalamus (CFI >0.96, RMSEA <0.05). Our MDD-specific model revealed that the limbic-associated regions are strongly connected with childhood trauma rather than depression severity, and that they independently affect suicidal ideation and cognitive dysfunction. Furthermore, cognitive dysfunction could affect impulsivity.
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Affiliation(s)
- Eun Bit Bae
- Research Institute for Medical Bigdata Science, Korea University, Seoul, Republic of Korea; Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyu-Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
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Tymofiyeva O, Reeves KW, Shaw C, Lopez E, Aziz S, Max JE, Yang TT. A Systematic Review of MRI Studies and the "Emotional paiN and social Disconnect (END)" Brain Model of Suicidal Behavior in Youth. Behav Neurol 2023; 2023:7254574. [PMID: 37786433 PMCID: PMC10541999 DOI: 10.1155/2023/7254574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 08/03/2023] [Accepted: 09/02/2023] [Indexed: 10/04/2023] Open
Abstract
Introduction Risk of suicidal ideation and suicidal behaviors greatly increases during adolescence, and rates have risen dramatically over the past two decades. However, few risk factors or biomarkers predictive of suicidal ideation or attempted suicide have been identified in adolescents. Neuroimaging correlates hold potential for early identification of adolescents at increased risk of suicidality and risk stratification for those at high risk of suicide attempt. Methods In this systematic review, we evaluated neural regions and networks associated with suicidal ideation and suicide attempt in adolescents derived from magnetic resonance imaging (MRI) studies. A total of 28 articles were included in this review. Results After descriptively synthesizing the literature, we propose the Emotional paiN and social Disconnect (END) model of adolescent suicidality and present two key neural circuits: (1) the emotional/mental pain circuit and (2) the social disconnect/distortion circuit. In the END model, the emotional pain circuit-consisting of the cerebellum, amygdala, and hippocampus-shows similar aberrations in adolescents with suicidal ideation as in those with a history of a suicide attempt (but to a smaller degree). The social disconnect circuit is unique to adolescent suicide attempters and includes the lateral orbitofrontal cortex (OFC), the temporal gyri, and the connections between them. Conclusion Our proposed END brain model of suicidal behavior in youth, if confirmed by future prospective studies, can have implications for clinical goals of early detection, risk stratification, and intervention development. Treatments that target emotional pain and social disconnect may be ideal interventions for reducing suicidality in adolescents.
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Affiliation(s)
- Olga Tymofiyeva
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Katherine W. Reeves
- Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA, USA
| | - Chace Shaw
- Department of Psychiatry and Behavioral Sciences, The Langley Porter Psychiatric Institute, Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Eric Lopez
- Department of Psychiatry and Behavioral Sciences, The Langley Porter Psychiatric Institute, Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Sepehr Aziz
- Department of Psychiatry and Behavioral Sciences, The Langley Porter Psychiatric Institute, Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Jeffrey E. Max
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
- Rady Children's Hospital, San Diego, CA, USA
| | - Tony T. Yang
- Department of Psychiatry and Behavioral Sciences, The Langley Porter Psychiatric Institute, Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
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