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Chen Z, Xu T, Li Q, Shu Y, Zhou X, Guo T, Liang F. Grey matter abnormalities in major depressive disorder patients with suicide attempts: A systematic review of age-specific differences. Heliyon 2024; 10:e24894. [PMID: 38317985 PMCID: PMC10839985 DOI: 10.1016/j.heliyon.2024.e24894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 12/29/2023] [Accepted: 01/11/2024] [Indexed: 02/07/2024] Open
Abstract
Background Previous studies have reported alterations in brain structure in major depressive disorder (MDD) patients with suicide attempts. However, age-related changes in suicidal MDD patients remain unclear. Methods We performed a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Embase, PubMed, and Web of Science were searched to identify relevant studies from inception to January 2023. All voxel-based and surface-based morphometry studies comparing suicidal MDD patients to MDD or healthy controls were included. Studies were then grouped by age range (old, middle-age, adolescent) and the commonalities and age-related structural brain alterations were summarized. The included studies were evaluated using the Newcastle-Ottawa Scale (NOS). Results A total of 17 studies met the inclusion criteria, including 3 of late-life depression (LLD) patients, 11 of middle-aged depression (MAD) patients, and 3 of adolescent depression (AOD) patients. The majority of studies had moderate to high NOS scores, indicating good quality. Patients in all three age groups exhibited extensive alterations in the lateral, medial, and orbital regions of the frontal lobes. Furthermore, suicidal MAD patients showed a specific decrease in the gray matter volume of the dorsolateral prefrontal cortex compared to suicidal LLD patients. Cortical thickness and left angular gyrus volume were decreased in suicidal MAD and suicidal LLD patients, but increased in suicidal AOD patients. Conclusion This systematic review summarizes structural brain changes in suicidal MDD patients at three age groups: elderly, middle-aged, and adolescent. These findings help elucidate the common circuitry of MDD related to suicide over the lifespan and highlight unique circuitry associated with different ages. These findings may help predict the risk of suicide in MDD patients at different ages.
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Affiliation(s)
- Ziwen Chen
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Tao Xu
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qifu Li
- Department of Acupuncture and Moxibustion Rehabilitation, Yunnan University of Chinese Medicine, Kunming, China
| | - Yunjie Shu
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xueli Zhou
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Taipin Guo
- Department of Acupuncture and Moxibustion Rehabilitation, Yunnan University of Chinese Medicine, Kunming, China
| | - Fanrong Liang
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Zhang E, Hauson AO, Pollard AA, Meis B, Lackey NS, Carson B, Khayat S, Fortea L, Radua J. Lateralized grey matter volume changes in adolescents versus adults with major depression: SDM-PSI meta-analysis. Psychiatry Res Neuroimaging 2023; 335:111691. [PMID: 37837793 DOI: 10.1016/j.pscychresns.2023.111691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/22/2023] [Accepted: 07/19/2023] [Indexed: 10/16/2023]
Abstract
The current study is the first meta-analysis to examine grey matter volume (GMV) changes in adolescents and across the lifespan in major depressive disorder (MDD). Seed-based d mapping-with permutation of subject images (SDM-PSI) has advantages over previous coordinate-based meta-analytical methods (CBMA), such as reducing bias (via the MetaNSUE algorithm) and including non-statistically significant unreported effects. SDM-PSI was used to analyze 105 whole-brain GMV voxel-based morphometry (VBM) studies comparing 6,530 individuals with MDD versus 6,821 age-matched healthy controls (HC). A laterality effect was observed in which adults with MDD showed lower GMV than adult HC in left fronto-temporo-parietal structures (superior temporal gyrus, insula, Rolandic operculum, and inferior frontal gyrus). However, these abnormalities were not statistically significant for adolescent MDD versus adolescent HC. Instead, adolescent MDD showed lower GMV than adult MDD in right temporo-parietal structures (angular gyrus and middle temporal gyrus). These regional differences may be used as potential biomarkers to predict and monitor treatment outcomes as well as to choose the most effective treatments in adolescents versus adults. Finally, due to the paucity of youth, older adult, and longitudinal studies, future studies should attempt to replicate these GMV findings and examine whether they correlate with treatment response and illness severity.
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Affiliation(s)
- Emily Zhang
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Alexander O Hauson
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America; Department of Psychiatry, University of California San Diego, La Jolla, CA, United States of America.
| | - Anna A Pollard
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Benjamin Meis
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Nicholas S Lackey
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Bryce Carson
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Sarah Khayat
- Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Lydia Fortea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
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Vieira R, Faria AR, Ribeiro D, Picó-Pérez M, Bessa JM. Structural and functional brain correlates of suicidal ideation and behaviors in depression: A scoping review of MRI studies. Prog Neuropsychopharmacol Biol Psychiatry 2023; 126:110799. [PMID: 37207727 DOI: 10.1016/j.pnpbp.2023.110799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/29/2023] [Accepted: 05/15/2023] [Indexed: 05/21/2023]
Abstract
Identifying and integrating the neural correlates of suicidal ideation and behaviors is crucial to expand the knowledge and develop targeted strategies to prevent suicide. This review aimed to describe the neural correlates of suicidal ideation, behavior and the transition between them, using different magnetic resonance imaging (MRI) modalities, providing an up-to-date overview of the literature. To be included, the observational, experimental, or quasi-experimental studies must include adult patients currently diagnosed with major depressive disorder and investigate the neural correlates of suicidal ideation, behavior and/or the transition using MRI. The searches were conducted on PubMed, ISI Web of Knowledge and Scopus. Fifty articles were included in this review: 22 on suicidal ideation, 26 on suicide behaviors and two on the transition between them. The qualitative analysis of the included studies suggested alterations in the frontal, limbic and temporal lobes in suicidal ideation associated with deficits in emotional processing and regulation, and in the frontal, limbic, parietal lobes, and basal ganglia in suicide behaviors associated with impairments in decision-making. Gaps in the literature and methodological concerns were identified and might be addressed in future studies.
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Affiliation(s)
- Rita Vieira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal; Clinical Academic Center - Braga, Braga, Portugal
| | | | - Diogo Ribeiro
- Department of Psychiatry, Hospital de Braga, Braga, Portugal
| | - Maria Picó-Pérez
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal; Departamento de Psicología Básica, Clínica y Psicobiología, Universitat Jaume I, Castelló de la Plana, Spain
| | - João M Bessa
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal; Clinical Academic Center - Braga, Braga, Portugal.
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5
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Long X, Li L, Wang X, Cao Y, Wu B, Roberts N, Gong Q, Kemp GJ, Jia Z. Gray matter alterations in adolescent major depressive disorder and adolescent bipolar disorder. J Affect Disord 2023; 325:550-563. [PMID: 36669567 DOI: 10.1016/j.jad.2023.01.049] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 12/24/2022] [Accepted: 01/11/2023] [Indexed: 01/19/2023]
Abstract
BACKGROUND Gray matter volume (GMV) alterations in several emotion-related brain areas are implicated in mood disorders, but findings have been inconsistent in adolescents with major depressive disorder (MDD) or bipolar disorder (BD). METHODS We conducted a comprehensive meta-analysis of 35 region-of-interest (ROI) and 18 whole-brain voxel-based morphometry (VBM) MRI studies in adolescent MDD and adolescent BD, and indirectly compared the results in the two groups. The effects of age, sex, and other demographic and clinical scale scores were explored using meta-regression analysis. RESULTS In the ROI meta-analysis, right putamen volume was decreased in adolescents with MDD, while bilateral amygdala volume was decreased in adolescents with BD compared to healthy controls (HC). In the whole-brain VBM meta-analysis, GMV was increased in right middle frontal gyrus and decreased in left caudate in adolescents with MDD compared to HC, while in adolescents with BD, GMV was increased in left superior frontal gyrus and decreased in limbic regions compared with HC. MDD vs BD comparison revealed volume alteration in the prefrontal-limbic system. LIMITATION Different clinical features limit the comparability of the samples, and small sample size and insufficient clinical details precluded subgroup analysis or meta-regression analyses of these variables. CONCLUSIONS Distinct patterns of GMV alterations in adolescent MDD and adolescent BD could help to differentiate these two populations and provide potential diagnostic biomarkers.
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Affiliation(s)
- Xipeng Long
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 GuoXue Xiang, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China
| | - Lei Li
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China
| | - Xiuli Wang
- Department of Clinical Psychiatry, the Fourth People's Hospital of Chengdu, Chengdu 610041, Sichuan, PR China
| | - Yuan Cao
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 GuoXue Xiang, Chengdu 610041, Sichuan, PR China
| | - Baolin Wu
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China
| | - Neil Roberts
- The Queens Medical Research Institute (QMRI), School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China; Department of Radiology, West China Xiamen Hospital of Sichuan University, 699Jinyuan Xi Road, Jimei District, 361021 Xiamen, Fujian, PR China
| | - Graham J Kemp
- Liverpool Magnetic Resonance Imaging Center (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 GuoXue Xiang, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China.
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6
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Wang S, Kennedy SH, Salomons TV, Ceniti AK, McInerney SJ, Bergmans Y, Pizzagalli DA, Farb N, Turecki G, Schweizer TA, Churchill N, Sinyor M, Rizvi SJ. Resting-state neural mechanisms of capability for suicide and their interaction with pain - A CAN-BIND-05 Study. J Affect Disord 2023; 330:139-147. [PMID: 36878406 DOI: 10.1016/j.jad.2023.02.147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 02/13/2023] [Accepted: 02/27/2023] [Indexed: 03/08/2023]
Abstract
BACKGROUND Suicidal ideation is highly prevalent in Major Depressive Disorder (MDD). However, the factors determining who will transition from ideation to attempt are not established. Emerging research points to suicide capability (SC), which reflects fearlessness of death and increased pain tolerance, as a construct mediating this transition. This Canadian Biomarker Integration Network in Depression study (CANBIND-5) aimed to identify the neural basis of SC and its interaction with pain as a marker of suicide attempt. METHODS MDD patients (n = 20) with suicide risk and healthy controls (n = 21) completed a self-report SC scale and a cold pressor task measuring pain threshold, tolerance, endurance, and intensity at threshold and tolerance. All participants underwent a resting-state brain scan and functional connectivity was examined for 4 regions: anterior insula (aIC), posterior insula (pIC), anterior mid-cingulate cortex (aMCC) and subgenual anterior cingulate cortex (sgACC). RESULTS In MDD, SC correlated positively with pain endurance and negatively with threshold intensity. Furthermore, SC correlated with the connectivity of aIC to the supramarginal gyrus, pIC to the paracingulate gyrus, aMCC to the paracingulate gyrus, and sgACC to the dorsolateral prefrontal cortex. These correlations were stronger in MDD compared to controls. Only threshold intensity mediated the correlation between SC and connectivity strength. LIMITATIONS Resting-state scans provided an indirect assessment of SC and the pain network. CONCLUSIONS These findings highlight point to a neural network underlying SC that is associated with pain processing. This supports the potential clinical utility of pain response measurement as a method to investigate markers of suicide risk.
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Affiliation(s)
- Shijing Wang
- Arthur Sommer Rotenberg Suicide and Depression Studies Program, St. Michael's Hospital, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Sidney H Kennedy
- Arthur Sommer Rotenberg Suicide and Depression Studies Program, St. Michael's Hospital, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Tim V Salomons
- Department of Psychology, Queen's University, Kingston, Canada
| | - Amanda K Ceniti
- Arthur Sommer Rotenberg Suicide and Depression Studies Program, St. Michael's Hospital, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Shane J McInerney
- Department of Psychiatry, National University of Ireland, Galway, Ireland
| | - Yvonne Bergmans
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | | | - Norman Farb
- Department of Psychology, University of Toronto Mississauga, Mississauga, Canada
| | - Gustavo Turecki
- Department of Psychiatry, McGill University, Montreal, Canada
| | - Tom A Schweizer
- Institute of Medical Science, University of Toronto, Toronto, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, Toronto, Canada
| | - Nathan Churchill
- Neuroscience Research Program, St. Michael's Hospital, Toronto, Canada
| | - Mark Sinyor
- Department of Psychiatry, University of Toronto, Toronto, Canada; Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Sakina J Rizvi
- Arthur Sommer Rotenberg Suicide and Depression Studies Program, St. Michael's Hospital, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada.
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Bajaj S, Blair KS, Dobbertin M, Patil KR, Tyler PM, Ringle JL, Bashford-Largo J, Mathur A, Elowsky J, Dominguez A, Schmaal L, Blair RJR. Machine learning based identification of structural brain alterations underlying suicide risk in adolescents. Discov Ment Health 2023; 3:6. [PMID: 37861863 PMCID: PMC10501026 DOI: 10.1007/s44192-023-00033-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 02/09/2023] [Indexed: 10/21/2023]
Abstract
Suicide is the third leading cause of death for individuals between 15 and 19 years of age. The high suicide mortality rate and limited prior success in identifying neuroimaging biomarkers indicate that it is crucial to improve the accuracy of clinical neural signatures underlying suicide risk. The current study implements machine-learning (ML) algorithms to examine structural brain alterations in adolescents that can discriminate individuals with suicide risk from typically developing (TD) adolescents at the individual level. Structural MRI data were collected from 79 adolescents who demonstrated clinical levels of suicide risk and 79 demographically matched TD adolescents. Region-specific cortical/subcortical volume (CV/SCV) was evaluated following whole-brain parcellation into 1000 cortical and 12 subcortical regions. CV/SCV parameters were used as inputs for feature selection and three ML algorithms (i.e., support vector machine [SVM], K-nearest neighbors, and ensemble) to classify adolescents at suicide risk from TD adolescents. The highest classification accuracy of 74.79% (with sensitivity = 75.90%, specificity = 74.07%, and area under the receiver operating characteristic curve = 87.18%) was obtained for CV/SCV data using the SVM classifier. Identified bilateral regions that contributed to the classification mainly included reduced CV within the frontal and temporal cortices but increased volume within the cuneus/precuneus for adolescents at suicide risk relative to TD adolescents. The current data demonstrate an unbiased region-specific ML framework to effectively assess the structural biomarkers of suicide risk. Future studies with larger sample sizes and the inclusion of clinical controls and independent validation data sets are needed to confirm our findings.
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Affiliation(s)
- Sahil Bajaj
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, 14015 Flanagan Blvd. Suite #102, Boys Town, NE, USA.
| | - Karina S Blair
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, 14015 Flanagan Blvd. Suite #102, Boys Town, NE, USA
| | - Matthew Dobbertin
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, 14015 Flanagan Blvd. Suite #102, Boys Town, NE, USA
- Child and Adolescent Psychiatric Inpatient Center, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Kaustubh R Patil
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Patrick M Tyler
- Child and Family Translational Research Center, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Jay L Ringle
- Child and Family Translational Research Center, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Johannah Bashford-Largo
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, 14015 Flanagan Blvd. Suite #102, Boys Town, NE, USA
- Center for Brain, Biology, and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Avantika Mathur
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, 14015 Flanagan Blvd. Suite #102, Boys Town, NE, USA
| | - Jaimie Elowsky
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, 14015 Flanagan Blvd. Suite #102, Boys Town, NE, USA
| | - Ahria Dominguez
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, 14015 Flanagan Blvd. Suite #102, Boys Town, NE, USA
| | - Lianne Schmaal
- Center for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
- Orygen, Parkville, Australia
| | - R James R Blair
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
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8
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Kislov MA, Prikhod'ko AN, Trusova DS, Zhiganova MS, Morozova AY, Pigolkin YI. [Morphofunctional cerebral changes associated with development of suicidal behavior]. Sud Med Ekspert 2023; 66:67-72. [PMID: 37496486 DOI: 10.17116/sudmed20236604167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
THE AIM OF THE STUDY Was to identify the cerebral areas, which demonstrate the most significant structural changes and damaged functional activity in patients with suicidal behavior. The original studies, presented in PubMed database, were used to analyze the literature. Additional literature in the form of atlases, review articles and publications, written in related spheres, was used to interpret the results. The study identified the 69 cerebral regions, demonstrating significant changes and the structures with the most significant deviations among them were selected. The regions of cerebral grey matter, in particular basal ganglia (structures of striatum and limbic system), as well as selected regions of cerebral cortex, specifically frontal, insularis, singulate and parietal mostly were included in the list. The decrease in grey matter volume, changes of neuronal and glial density, special patterns of activity and variations of functional association with other cerebral regions are described within mentioned structures. The literature review found that there was a lack of postmortem examinations in suicidal cases. Advanced study of the described structures is required in cases of completed suicide using new research methods.
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Affiliation(s)
- M A Kislov
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | | | - D S Trusova
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - M S Zhiganova
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - A Yu Morozova
- Alekseev Psychiatric Clinical Hospital No. 1 of the Moscow Department of Health, Moscow, Russia
| | - Yu I Pigolkin
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
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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: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Zhong S, Chen P, Lai S, Chen G, Zhang Y, Lv S, He J, Tang G, Pan Y, Wang Y, Jia Y. Aberrant dynamic functional connectivity in corticostriatal circuitry in depressed bipolar II disorder with recent suicide attempt. J Affect Disord 2022; 319:538-548. [PMID: 36155235 DOI: 10.1016/j.jad.2022.09.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 08/11/2022] [Accepted: 09/20/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND The underlying neurobiological mechanisms on suicidal behavior in bipolar disorder remain unclear. We aim to explore the mechanisms of suicide by detecting dynamic functional connectivity (dFC) of corticostriatal circuitry and cognition in depressed bipolar II disorder (BD II) with recent suicide attempt (SA). METHODS We analyzed resting-state functional magnetic resonance imaging (fMRI) data from 68 depressed patients with BD-II (30 with SA and 38 without SA) and 35 healthy controls (HCs). The whole-brain dFC variability of corticostriatal circuitry was calculated using a sliding-window analysis. Their correlations with cognitive dysfunction were further detected. Support vector machine (SVM) classification tested the potential of dFC to differentiate BD-II with SA from HCs. RESULTS Increased dFC variability between the right vCa and the right insula was found in SA compared to non-SA and HCs, and negatively correlated with speed of processing. Decreased dFC variability between the left dlPu and the right postcentral gyrus was found in non-SA compared to SA and HCs, and positively correlated with reasoning problem-solving. Both SA and non-SA exhibited decreased dFC variability between the right dCa and the left MTG, and between the right dlPu and the right calcarine when compared to HCs. SVM classification achieved an accuracy of 75.24 % and AUC of 0.835 to differentiate SA from non-SA, while combining the abnormal dFC features between SA and non-SA. CONCLUSIONS Aberrant dFC variability of corticostriatal circuitry may serve as potential neuromarker for SA in BD-II, which might help to discriminate suicidal BD-II patients from non-suicidal patients and HCs.
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Affiliation(s)
- Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Pan Chen
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Yiliang Zhang
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Sihui Lv
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Jiali He
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Guixian Tang
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Youling Pan
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Ying Wang
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China.
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou 510630, China.
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He M, Cheng Y, Chu Z, Xu J, Lu Y, Shen Z, Xu X. Disrupted default mode network and executive control network are associated with depression severity on structural network. Neuroreport 2022; 33:227-35. [PMID: 35287146 DOI: 10.1097/WNR.0000000000001773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Major depressive disorder (MDD) is a psychiatric disorder with a relatively limited response to treatment. It is necessary to better understand the neuroanatomical mechanisms of structural networks. METHODS The current study recruited 181 first-onset, untreated adult MDD patients: slight MDD (SD, N = 23), moderate MDD (MD, N = 77), Heavy MDD (HD, N = 81) groups; along with a healthy control group (HC, N = 81) with matched general clinical data. FreeSurfer was used to preprocess T1 images for gray matter volume (GMV), and the default mode network (DMN) and the execution control network (ECN) were analyzed by structural covariance network (SCN). RESULTS Present study found that the GMV of brain regions reduced with the severity of the disease. Specifically, the GMV of the left anterior cingulate gyrus (ACC.L) is negatively correlated with MDD severity. In addition, the SCN connectivity of the whole-brain network increases with the increase of severity in MDD. ACC.L is a key brain region with increased connectivity between the left orbitofrontal in DMN and between the right orbitofrontal in ECN, which leads to damage to the balance of neural circuits. CONCLUSIONS Patients with smaller GMV of ACC.L are more likely to develop severe MDD, and as a key region in both networks which have distinct structural network models in DMN and ECN. MDD patients with different severity have different neuroimaging changes in DMN and ECN.
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12
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He M, Ping L, Chu Z, Zeng C, Shen Z, Xu X. Identifying Changes of Brain Regional Homogeneity and Cingulo-Opercular Network Connectivity in First-Episode, Drug-Naïve Depressive Patients With Suicidal Ideation. Front Neurosci 2022; 16:856366. [PMID: 35310111 PMCID: PMC8924659 DOI: 10.3389/fnins.2022.856366] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 01/31/2022] [Indexed: 11/15/2022] Open
Abstract
Objective Adult patients with major depressive disorder (MDD) may not actively reveal their suicidal ideation (SI). Therefore, this study is committed to finding the alterations in the cingulo-opercular network (CON) that are closely related to SI with multi-imaging methods, thus providing neuroimaging basis for SI. Method A total of 198 participants (129 MDD patients and 69 healthy controls) were recruited and evaluated with the Montgomery–Asberg Depression Rating Scale (MADRS). The healthy individuals formed the HC group, while the MDD patients were subdivided into no SI MDD (NSI, n = 32), mild SI MDD (MSI, n = 64), and severe SI MDD (SSI, n = 33) according to their MADRS item 10. We obtained MRI data of all participants and applied regional homogeneity (ReHo) analysis to verify a previous finding that links CON abnormality to SI. In addition, we employed the structural covariance network (SCN) analysis to investigate the correlation between abnormal structural connectivity of CON and SI severity. Results Compared to those of the HC group, MDD ReHo values and gray matter volume (GMV) were consistently found abnormal in CON. ReHo values and GMV of the right orbital inferior frontal gyrus (ORBinf.R) in the MDD group decreased with the increase of SI. Compared to the HC group, the MDD patients showed enhanced structural connectivity of three pairs of brain regions in CON [ACC.L–left superior frontal gyrus (SFG.L), SFG.L–left middle temporal gyrus (MTG.L), and the SFG.L–left post-central gyrus (PoCG.L)]. Compared with that of the NSI and MSI groups, the structural connectivity of three pairs of brain regions in CON is enhanced in the SSI groups [ORBinf.L–right ventral posterior cingulate gyrus (VPCC.R), VPCC.R–SFG.R, and SFG.R–PoCG.R]. Conclusion Our findings showed the distinctive ReHo, GMV, and SCN pattern of CON in MDD patients with SI; and with the severity of suicide, abnormal brain regions increased. Our finding suggested that MDD patients with different severity of SI have different neuroimaging changes.
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Affiliation(s)
- Mengxin He
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
- Mental Health Institute of Yunnan, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Liangliang Ping
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
- Department of Psychiatry, Xiamen Xianyue Hospital, Xiamen, China
| | - Zhaosong Chu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Chunqiang Zeng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zonglin Shen
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
- Mental Health Institute of Yunnan, First Affiliated Hospital of Kunming Medical University, Kunming, China
- Yunnan Clinical Research Center for Mental Disorders, First Affiliated Hospital of Kunming Medical University, Kunming, China
- *Correspondence: Zonglin Shen,
| | - Xiufeng Xu
- Mental Health Institute of Yunnan, First Affiliated Hospital of Kunming Medical University, Kunming, China
- Yunnan Clinical Research Center for Mental Disorders, First Affiliated Hospital of Kunming Medical University, Kunming, China
- Xiufeng Xu,
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13
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Sun T, Shu HY, Wu JL, Su T, Liu YJ, Zhang LJ, Li QY, Pan YC, Ge QM, Shao Y. Investigation of changes in the activity and function of dry eye-associated brain regions using the amplitude of low-frequency fluctuations method. Biosci Rep 2022; 42:BSR20210941. [PMID: 34981112 DOI: 10.1042/BSR20210941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 10/21/2021] [Accepted: 12/09/2021] [Indexed: 12/30/2022] Open
Abstract
Objective: The local characteristics of spontaneous brain activity in patients with dry eye (DE) and its relationship with clinical characteristics were evaluated using the amplitude of low-frequency fluctuations (ALFF) method. Methods: A total of 27 patients with DE (10 males and 17 females) and 28 healthy controls (HCs) (10 males and 18 females) were recruited, matched according to sex, age, weight and height, classified into the DE and HC groups, and examined using functional magnetic resonance imaging (fMRI) scans. Spontaneous brain activity changes were recorded using ALFF technology. Data were recorded and plotted on the receiver operating characteristic (ROC) curve, reflecting changes in activity in different brain areas. Finally, Pearson correlation analysis was used to calculate the potential relationship between spontaneous brain activity abnormalities in multiple brain regions and clinical features in patients with DE. GraphPad Prism 8 (GraphPad Software, Inc.) was used to analyze the linear correlation between the Hospital Anxiety and Depression Scale and ALFF value. Results: Compared with HCs, the ALFF values of patients with DE were decreased in the right middle frontal gyrus (MFG)/right inferior orbitofrontal cortex (OFC), left triangle inferior frontal gyrus, left MFG, and right superior frontal gyrus. In contrast, the ALFF value of patients with DE was increased in the left calcarine. Conclusion: There are significant fluctuations in the ALFF value of specific brain regions in patients with DE versus HCs. This corroborates previous evidence showing that the symptoms of ocular surface damage in patients with DE are related to dysfunction in specific brain areas.
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14
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He M, Cheng Y, Chu Z, Wang X, Xu J, Lu Y, Shen Z, Xu X. White Matter Network Disruption Is Associated With Melancholic Features in Major Depressive Disorder. Front Psychiatry 2022; 13:816191. [PMID: 35492691 PMCID: PMC9046786 DOI: 10.3389/fpsyt.2022.816191] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 03/22/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The efficacy and prognosis of major depressive disorder (MDD) are limited by its heterogeneity. MDD with melancholic features is an important subtype of MDD. The present study aimed to reveal the white matter (WM) network changes in melancholic depression. MATERIALS AND METHODS Twenty-three first-onset, untreated melancholic MDD, 59 non-melancholic MDD patients and 63 health controls underwent diffusion tensor imaging (DTI) scans. WM network analysis based on graph theory and support vector machine (SVM) were used for image data analysis. RESULTS Compared with HC, small-worldness was reduced and abnormal node attributes were in the right orbital inferior frontal gyrus, left orbital superior frontal gyrus, right caudate nucleus, right orbital superior frontal gyrus, right orbital middle frontal gyrus, left rectus gyrus, and left median cingulate and paracingulate gyrus of MDD patients. Compared with non-melancholic MDD, small-worldness was reduced and abnormal node attributes were in right orbital inferior frontal gyrus, left orbital superior frontal gyrus and right caudate nucleus of melancholic MDD. For correlation analysis, the 7th item score of the HRSD-17 (work and interest) was positively associated with increased node betweenness centrality (aBC) values in right orbital inferior frontal gyrus, while negatively associated with the decreased aBC in left orbital superior frontal gyrus. SVM analysis results showed that abnormal aBC in right orbital inferior frontal gyrus and left orbital superior frontal gyrus showed the highest accuracy of 81.0% (69/83), the sensitivity of 66.3%, and specificity of 85.2% for discriminating MDD patients with or without melancholic features. CONCLUSION There is a significant difference in WM network changes between MDD patients with and without melancholic features.
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Affiliation(s)
- Mengxin He
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China.,Yunnan Clinical Research Center for Mental Disorders, Kunming, China
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China.,Yunnan Clinical Research Center for Mental Disorders, Kunming, China
| | - Zhaosong Chu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China.,Yunnan Clinical Research Center for Mental Disorders, Kunming, China
| | - Xin Wang
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jinlei Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yi Lu
- Department of Medical Imaging, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zonglin Shen
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China.,Yunnan Clinical Research Center for Mental Disorders, Kunming, China.,Mental Health Institute of Yunnan, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiufeng Xu
- Yunnan Clinical Research Center for Mental Disorders, Kunming, China
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15
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Song Y, Yang J, Chang M, Wei Y, Yin Z, Zhu Y, Zhou Y, Zhou Y, Jiang X, Wu F, Kong L, Xu K, Wang F, Tang Y. Shared and distinct functional connectivity of hippocampal subregions in schizophrenia, bipolar disorder, and major depressive disorder. Front Psychiatry 2022; 13:993356. [PMID: 36186868 PMCID: PMC9515660 DOI: 10.3389/fpsyt.2022.993356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/19/2022] [Indexed: 11/13/2022] Open
Abstract
Schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD) share etiological and pathophysiological characteristics. Although neuroimaging studies have reported hippocampal alterations in SZ, BD, and MDD, little is known about how different hippocampal subregions are affected in these conditions because such subregions, namely, the cornu ammonis (CA), dentate gyrus (DG), and subiculum (SUB), have different structural foundations and perform different functions. Here, we hypothesize that different hippocampal subregions may reflect some intrinsic features among the major psychiatric disorders, such as SZ, BD, and MDD. By investigating resting functional connectivity (FC) of each hippocampal subregion among 117 SZ, 103 BD, 96 MDD, and 159 healthy controls, we found similarly and distinctly changed FC of hippocampal subregions in the three disorders. The abnormal functions of middle frontal gyrus might be the core feature of the psychopathological mechanisms of SZ, BD, and MDD. Anterior cingulate cortex and inferior orbital frontal gyrus might be the shared abnormalities of SZ and BD, and inferior orbital frontal gyrus is also positively correlated with depression and anxiety symptoms in SZ and BD. Caudate might be the unique feature of SZ and showed a positive correlation with the cognitive function in SZ. Middle temporal gyrus and supplemental motor area are the differentiating features of BD. Our study provides evidence for the different functions of different hippocampal subregions in psychiatric pathology.
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Affiliation(s)
- Yanzhuo Song
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Jingyu Yang
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China.,Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Miao Chang
- Department of Radiology, First Hospital of China Medical University, Shenyang, China
| | - Yange Wei
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China.,Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Zhiyang Yin
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Yue Zhu
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Yuning Zhou
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Yifang Zhou
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Xiaowei Jiang
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China.,Department of Radiology, First Hospital of China Medical University, Shenyang, China
| | - Feng Wu
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Lingtao Kong
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Ke Xu
- Department of Radiology, First Hospital of China Medical University, Shenyang, China
| | - Fei Wang
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China.,Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Yanqing Tang
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
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Overs BJ, Roberts G, Ridgway K, Toma C, Hadzi-Pavlovic D, Wilcox HC, Hulvershorn LA, Nurnberger JI, Schofield PR, Mitchell PB, Fullerton JM. Effects of polygenic risk for suicide attempt and risky behavior on brain structure in young people with familial risk of bipolar disorder. Am J Med Genet B Neuropsychiatr Genet 2021; 186:485-507. [PMID: 34726322 DOI: 10.1002/ajmg.b.32879] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 08/27/2021] [Accepted: 10/11/2021] [Indexed: 01/11/2023]
Abstract
Bipolar disorder (BD) is associated with a 20-30-fold increased suicide risk compared to the general population. First-degree relatives of BD patients show inflated rates of psychopathology including suicidal behaviors. As reliable biomarkers of suicide attempts (SA) are lacking, we examined associations between suicide-related polygenic risk scores (PRSs)-a quantitative index of genomic risk-and variability in brain structures implicated in SA. Participants (n = 206; aged 12-30 years) were unrelated individuals of European ancestry and comprised three groups: 41 BD cases, 96 BD relatives ("high risk"), and 69 controls. Genotyping employed PsychArray, followed by imputation. Three PRSs were computed using genome-wide association data for SA in BD (SA-in-BD), SA in major depressive disorder (SA-in-MDD) (Mullins et al., 2019, The American Journal of Psychiatry, 176(8), 651-660), and risky behavior (Karlsson Linnér et al., 2019, Nature Genetics, 51(2), 245-257). Structural magnetic resonance imaging processing employed FreeSurfer v5.3.0. General linear models were constructed using 32 regions-of-interest identified from suicide neuroimaging literature, with false-discovery-rate correction. SA-in-MDD and SA-in-BD PRSs negatively predicted parahippocampal thickness, with the latter association modified by group membership. SA-in-BD and Risky Behavior PRSs inversely predicted rostral and caudal anterior cingulate structure, respectively, with the latter effect driven by the "high risk" group. SA-in-MDD and SA-in-BD PRSs positively predicted cuneus structure, irrespective of group. This study demonstrated associations between PRSs for suicide-related phenotypes and structural variability in brain regions implicated in SA. Future exploration of extended PRSs, in conjunction with a range of biological, phenotypic, environmental, and experiential data in high risk populations, may inform predictive models for suicidal behaviors.
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Affiliation(s)
- Bronwyn J Overs
- Neuroscience Research Australia, Randwick, New South Wales, Australia
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Kensington, New South Wales, Australia
| | - Kate Ridgway
- School of Psychiatry, University of New South Wales, Kensington, New South Wales, Australia
| | - Claudio Toma
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,Centro de Biología Molecular "Severo Ochoa," Universidad Autónoma de Madrid/CSIC, Madrid, Spain
| | - Dusan Hadzi-Pavlovic
- School of Psychiatry, University of New South Wales, Kensington, New South Wales, Australia
| | - Holly C Wilcox
- Child Psychiatry and Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Leslie A Hulvershorn
- Department of Psychiatry, Institute of Psychiatric Research, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - John I Nurnberger
- Department of Psychiatry, Institute of Psychiatric Research, Indiana University School of Medicine, Indianapolis, Indiana, USA.,Department of Medical and Molecular Genetics, Indiana University, Indianapolis, Indiana, USA
| | - Peter R Schofield
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,School of Medical Sciences, University of New South Wales, Kensington, New South Wales, Australia
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Kensington, New South Wales, Australia
| | - Janice M Fullerton
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,School of Medical Sciences, University of New South Wales, Kensington, New South Wales, Australia
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17
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Li MT, Zhang SX, Li X, Antwi CO, Sun JW, Wang C, Sun XH, Jia XZ, Ren J. Amplitude of Low-Frequency Fluctuation in Multiple Frequency Bands in Tension-Type Headache Patients: A Resting-State Functional Magnetic Resonance Imaging Study. Front Neurosci 2021; 15:742973. [PMID: 34759792 PMCID: PMC8573136 DOI: 10.3389/fnins.2021.742973] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 09/15/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose: Tension-type headache (TTH), the most prevalent primary headache disorder, imposes an enormous burden on the people of the world. The quest to ease suffering from this neurological disorder has sustained research interest. The present study aimed at evaluating the amplitude of low-frequency oscillations (LFOs) of the brain in multiple frequency bands in patients with TTH. Methods: To address this question, 63 participants were enrolled in the study, including 32 TTH patients and 31 healthy controls (HCs). For all the participants, amplitude of low-frequency fluctuation (ALFF) was measured in six frequency bands (conventional frequency bands, 0.01-0.08 Hz; slow-2, 0.198-0.25 Hz; slow-3, 0.073-0.198 Hz; slow-4, 0.027-0.073 Hz; slow-5, 0.01-0.027 Hz; and slow-6, 0-0.01 Hz), and the differences between TTH patients and HCs were examined. To explore the relationship between the altered ALFF brain regions in the six frequency bands and the Visual Analog Scale (VAS) score in the TTH patients, Pearson's correlation analysis was performed. Results: In all the six frequency bands, a decreased ALFF value was detected, and regions showing reduced ALFF values were mostly located in the middle frontal gyrus and superior gyrus. A frequency-dependent alternating characterization of intrinsic brain activity was found in the left caudate nucleus in the slow-2 band of 0.198-0.25 Hz and in the right inferior frontal orbital gyrus in the slow-5 band of 0.01-0.027 Hz. For the correlation results, both the left anterior cingulate and paracingulate gyri and right superior parietal gyrus showed a positive correlation with the VAS score in the slow-4 frequency band of 0.027-0.073 Hz. Conclusion: The ALFF alterations in the brain regions of TTH patients are involved in pain processing. The altered LFOs in the multiple regions may help promote the understanding of the pathophysiology of TTH. These observations could also allow the future treatment of TTH to be more directional and targeted and could promote the development of TTH treatment.
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Affiliation(s)
- Meng-Ting Li
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, jinhua, China
| | - Shu-Xian Zhang
- Department of Medical Imaging, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Xue Li
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Collins Opoku Antwi
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, jinhua, China
| | - Jia-Wei Sun
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Chao Wang
- Department of Medical Imaging, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Xi-He Sun
- Department of Medical Imaging, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Xi-Ze Jia
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, jinhua, China
| | - Jun Ren
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, jinhua, China
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18
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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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Fan XX, Yuan J, Wei YJ, Zhou F, Xu L, Zhang Y, Meng JY, Jin XL, Yang JZ. Association between suicide risk severity and sarcopenia in non-elderly Chinese inpatients with major depressive disorder. BMC Psychiatry 2020; 20:345. [PMID: 32616039 PMCID: PMC7331122 DOI: 10.1186/s12888-020-02763-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Accepted: 06/25/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Sarcopenia is a skeletal muscle disorder. Recent studies have shown an association between muscle health and suicide. However, there have been no previous studies on the relationship between suicide risk severity and sarcopenia in major depressive disorder (MDD). This study aimed to explore the association between suicide risk severity and sarcopenia in non-elderly Chinese inpatients with MDD. METHODS The first-episode drug-naïve MDD inpatients aged 20-59 years with the 24-item Hamilton Rating Scale for Depression (HAMD-24) scores of >20 were included, who were then classified into low, intermediate, high and very high suicide risk groups according to the Nurses' Global Assessment of Suicide Risk (NGASR). The HAMD-24, the Hamilton Rating Scale for Anxiety (HAMA) and the SARC-F questionnaire were used to assess depression severity, anxiety severity and sarcopenia, respectively. The plasma levels of cortisol and adrenocorticotropic hormone (ACTH) were measured. RESULTS A total of 192 MDD inpatients (122 females, 70 males; aged 39.3 ± 11.7 years) were included, with 12.5% meeting criteria for sarcopenia. There were significant differences in gender, HAMD score and prevalence of sarcopenia among the suicide risk groups. Adjusted ordinal regression analysis showed that sarcopenia was significantly associated with more severe suicide risk (OR = 2.39, 95%CI 1.02-5.58, p = 0.044) independent of depression severity. CONCLUSIONS This study revealed that sarcopenia was significantly associated with higher suicide risk in non-elderly Chinese MDD inpatients after adjustment for depression severity. Intervention of sarcopenia might be effective in reducing the risk of suicide in non-elderly MDD patients.
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Affiliation(s)
- Xin-Xin Fan
- grid.415444.4Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Av, Kunming, 650101 Yunnan China
| | - Jing Yuan
- grid.415444.4Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Av, Kunming, 650101 Yunnan China
| | - Yu-Jun Wei
- grid.415444.4Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Av, Kunming, 650101 Yunnan China
| | - Fang Zhou
- grid.415444.4Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Av, Kunming, 650101 Yunnan China
| | - Li Xu
- grid.415444.4Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Av, Kunming, 650101 Yunnan China
| | - Yan Zhang
- grid.415444.4Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Av, Kunming, 650101 Yunnan China
| | - Jun-Yu Meng
- grid.415444.4Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Av, Kunming, 650101 Yunnan China
| | - Xiao-Long Jin
- grid.459918.8Department of Geriatrics, The Sixth Affiliated Hospital of Kunming Medical University (People’s Hospital of Yuxi), Yuxi, Yunnan China
| | - Jian-Zhong Yang
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Av, Kunming, 650101, Yunnan, China.
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