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Ou CH, Cheng CS, Lin PL, Lee CL. Grey matter alterations in generalized anxiety disorder: A voxel-wise meta-analysis of voxel-based morphometry studies. Int J Dev Neurosci 2024. [PMID: 38638086 DOI: 10.1002/jdn.10330] [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: 12/11/2023] [Revised: 03/09/2024] [Accepted: 03/26/2024] [Indexed: 04/20/2024] Open
Abstract
OBJECTIVE Grey matter, a crucial component of the brain, has been found altered in generalized anxiety disorder (GAD) of several voxel-based morphometry studies. The conclusive and consistent grey matter alterations in GAD have not been confirmed. METHOD Eleven voxel-based morphometry studies of GAD patients were included in the current systematic review and meta-analysis. The linear model of anxiety severity scores was applied to explore the relationship of grey matter alterations and anxiety severity. The subgroup analysis of adult GAD and adolescent GAD was also performed. RESULTS Significantly modest grey matter alterations in the left superior temporal gyrus of patients with GAD were found. The anxiety severity score was significantly correlated with grey matter alterations in the right insula, lenticular nucleus, putamen and striatum. The subgroup analysis of adult GAD and adolescent GAD all failed to show significant grey matter alterations. However, in the adult GAD subgroup, anxiety severity score was significantly correlated with grey matter alterations in the right insula. CONCLUSION GAD might have the modest grey matter alterations in the left superior temporal gyrus. Anxiety severity might be related to the grey matter alterations in the limbic regions, such as the right insula, lenticular nucleus, putamen and striatum. This kind of correlation might be related to the effects of adult GAD. Future studies with adequate sample sizes and sophisticated GAD categories will be needed.
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Affiliation(s)
- Chang-Hsien Ou
- Department of Neuroradiology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Chiu-Shih Cheng
- Department of Neuroradiology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Pei-Ling Lin
- Department of Neuroradiology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Cheng-Lung Lee
- Department of Neuroradiology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
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2
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Cichocki AC, Zinbarg RE, Craske MG, Chat IKY, Young KS, Bookheimer SY, Nusslock R. Transdiagnostic symptom of depression and anxiety associated with reduced gray matter volume in prefrontal cortex. Psychiatry Res Neuroimaging 2024; 339:111791. [PMID: 38359709 PMCID: PMC10938645 DOI: 10.1016/j.pscychresns.2024.111791] [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: 07/10/2023] [Revised: 10/25/2023] [Accepted: 02/06/2024] [Indexed: 02/17/2024]
Abstract
Dimensional models of psychopathology may provide insight into mechanisms underlying comorbid depression and anxiety and improve specificity and sensitivity of neuroanatomical findings. The present study is the first to examine neural structure alterations using the empirically derived Tri-level Model. Depression and anxiety symptoms of 269 young adults were assessed using the Tri-level Model dimensions: General Distress (transdiagnostic depression and anxiety symptoms), Anhedonia-Apprehension (relatively specific depression symptoms), and Fears (specific anxiety symptoms). Using structural MRI, gray matter volumes were extracted for emotion generation (amygdala, nucleus accumbens) and regulation (orbitofrontal, ventrolateral, and dorsolateral prefrontal cortex) regions, often implicated in depression and anxiety. Each Tri-level symptom was regressed onto each region of interest, separately, adjusting for relevant covariates. General Distress was significantly associated with smaller gray matter volumes in bilateral orbitofrontal cortex and ventrolateral prefrontal cortex, independent of Anhedonia-Apprehension and Fears symptom dimensions. These results suggests that prefrontal alterations are associated with transdiagnostic dysphoric mood common across depression and anxiety, rather than unique symptoms of these disorders. Additionally, no regions of interest were associated with Anhedonia-Apprehension or Fears, highlighting the importance of studying transdiagnostic features of depression and anxiety. This has implications for understanding mechanisms of and interventions for depression and anxiety.
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Affiliation(s)
- Anna C Cichocki
- Department of Psychology, Northwestern University, Swift Hall, 2029 Sheridan Road, Evanston IL 60208, United States.
| | - Richard E Zinbarg
- Department of Psychology, Northwestern University, Swift Hall, 2029 Sheridan Road, Evanston IL 60208, United States; The Family Institute at Northwestern University, Evanston, IL, United States
| | - Michelle G Craske
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States
| | - Iris K-Y Chat
- Department of Psychology, Northwestern University, Swift Hall, 2029 Sheridan Road, Evanston IL 60208, United States
| | - Katherine S Young
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States
| | - Susan Y Bookheimer
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States
| | - Robin Nusslock
- Department of Psychology, Northwestern University, Swift Hall, 2029 Sheridan Road, Evanston IL 60208, United States
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3
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Cai H, Chen MY, Li XH, Zhang L, Su Z, Cheung T, Tang YL, Malgaroli M, Jackson T, Zhang Q, Xiang YT. A network model of depressive and anxiety symptoms: a statistical evaluation. Mol Psychiatry 2024:10.1038/s41380-023-02369-5. [PMID: 38238548 DOI: 10.1038/s41380-023-02369-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 12/04/2023] [Accepted: 12/07/2023] [Indexed: 02/22/2024]
Abstract
BACKGROUND Although network analysis studies of psychiatric syndromes have increased in recent years, most have emphasized centrality symptoms and robust edges. Broadening the focus to include bridge symptoms within a systematic review could help to elucidate symptoms having the strongest links in network models of psychiatric syndromes. We conducted this systematic review and statistical evaluation of network analyses on depressive and anxiety symptoms to identify the most central symptoms and bridge symptoms, as well as the most robust edge indices of networks. METHODS A systematic literature search was performed in PubMed, PsycINFO, Web of Science, and EMBASE databases from their inception to May 25, 2022. To determine the most influential symptoms and connections, we analyzed centrality and bridge centrality rankings and aggregated the most robust symptom connections into a summary network. After determining the most central symptoms and bridge symptoms across network models, heterogeneity across studies was examined using linear logistic regression. RESULTS Thirty-three studies with 78,721 participants were included in this systematic review. Seventeen studies with 23 cross-sectional networks based on the Patient Health Questionnaire (PHQ) and Generalized Anxiety Disorder (GAD-7) assessments of clinical and community samples were examined using centrality scores. Twelve cross-sectional networks based on the PHQ and GAD-7 assessments were examined using bridge centrality scores. We found substantial variability between study samples and network features. 'Sad mood', 'Uncontrollable worry', and 'Worrying too much' were the most central symptoms, while 'Sad mood', 'Restlessness', and 'Motor disturbance' were the most frequent bridge centrality symptoms. In addition, the connection between 'Sleep' and 'Fatigue' was the most frequent edge for the depressive and anxiety symptoms network model. CONCLUSION Central symptoms, bridge symptoms and robust edges identified in this systematic review can be viewed as potential intervention targets. We also identified gaps in the literature and future directions for network analysis of comorbid depression and anxiety.
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Affiliation(s)
- Hong Cai
- Unit of medical psychology and behavior medicine, school of public health, Guangxi Medical University, Nanning, Guangxi, China
| | - Meng-Yi Chen
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China
| | - Xiao-Hong Li
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, China
| | - Ling Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Yi-Lang Tang
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
- Atlanta VA Medical Center, Atlanta, GA, USA
| | - Matteo Malgaroli
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
| | - Todd Jackson
- Department of Psychology, University of Macau, Macao SAR, China
| | - Qinge Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.
- Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.
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4
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Burke SL, Grudzien A, Li T, Abril M, Yin W, Tyrell TA, Barnes CP, Hanson K, DeKosky ST. Examining the relationship between anxiety and regional brain volumes in the National Alzheimer's Coordinating Center uniform, imaging, and biomarker datasets. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2024; 6:100201. [PMID: 38312309 PMCID: PMC10837066 DOI: 10.1016/j.cccb.2024.100201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 12/15/2023] [Accepted: 01/10/2024] [Indexed: 02/06/2024]
Abstract
Anxiety has been associated with a greater risk of Alzheimer's disease (AD). Existing research has identified structural differences in regional brain tissue in participants with anxiety, but results have been inconsistent. We sought to determine the association between anxiety and regional brain volumes, and the moderation effect of APOE ε4. Using data from participants in the National Alzheimer's Coordinating Center (NACC) Uniform Data Set, with complete imaging (MRI) and biomarker data (n = 1533), multiple linear regression estimated the adjusted effect of anxiety on 30 structural MRI regions. The moderation effect of APOE ε4 on the relation between structural MRI regions and anxiety was assessed as was the moderation effect of cognitive status. False discovery rate was used to adjust for multiple comparisons. After controlling for intracranial volume, age, sex, years of education, race, Hispanic ethnicity, and cognitive status, seven MRI regions demonstrated lower volumes among participants with anxiety: total cerebrum gray matter volume, right hippocampus volume, hippocampal volume (total), right and left frontal lobe cortical gray matter volume, and right and total temporal lobe cortical gray matter volume. Findings suggest that anxiety is associated with significant atrophy in multiple brain regions, with corresponding ventricular enlargement. Future research should investigate if anxiety-related changes to brain morphology contribute to greater AD risk.
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Affiliation(s)
- Shanna L. Burke
- School of Social Work, Florida International University, Robert Stempel College of Public Health and Social Work, 11200 SW 8th St. AHC5 585, Miami 33199, FL, USA
- Community-Based Research Institute, Florida International University, Robert Stempel College of Public Health and Social Work, 11200 SW 8th St., Miami 33199, FL, USA
| | - Adrienne Grudzien
- Community-Based Research Institute, Florida International University, Robert Stempel College of Public Health and Social Work, 11200 SW 8th St., Miami 33199, FL, USA
| | - Tan Li
- Department of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 S.W. 8th Street, Miami 33199, FL, USA
| | - Marlou Abril
- Department of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 S.W. 8th Street, Miami 33199, FL, USA
| | - Wupeng Yin
- Department of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 S.W. 8th Street, Miami 33199, FL, USA
| | - Tahirah A. Tyrell
- Charles E. Schmidt College of Medicine, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, USA
| | - Christopher P. Barnes
- Clinical and Translational Science Institute, College of Medicine, University of Florida, PO Box 100212, 2405 SW Archer Road, Gainesville 32608, FL, USA
| | - Kevin Hanson
- Information Services, Division of Research Operations & Services, College of Medicine, University of Florida, PO Box 100212, 2405 SW Archer Road, Gainesville 32608, FL, USA
| | - Steven T. DeKosky
- McKnight Brain Institute, 1Florida Alzheimer's Disease Center, University of Florida, USA
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Zhou HY, Zhou L, Zheng TX, Ma LP, Fan MX, Liu L, Zhao XD, Yan C. Unraveling the link between childhood maltreatment and depression: Insights from the role of ventral striatum and middle cingulate cortex in hedonic experience and emotion regulation. Dev Psychopathol 2024:1-11. [PMID: 38179683 DOI: 10.1017/s0954579423001591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Abstract
Childhood maltreatment is an established risk factor for psychopathology. However, it remains unclear how childhood traumatic events relate to mental health problems and how the brain is involved. This study examined the serial mediation effect of brain morphological alterations and emotion-/reward-related functions on linking the relationship from maltreatment to depression. We recruited 156 healthy adolescents and young adults and an additional sample of 31 adolescents with major depressive disorder for assessment of childhood maltreatment, depressive symptoms, cognitive reappraisal and anticipatory/consummatory pleasure. Structural MRI data were acquired to identify maltreatment-related cortical and subcortical morphological differences. The mediation models suggested that emotional maltreatment of abuse and neglect, was respectively associated with increased gray matter volume in the ventral striatum and greater thickness in the middle cingulate cortex. These structural alterations were further related to reduced anticipatory pleasure and disrupted cognitive reappraisal, which contributed to more severe depressive symptoms among healthy individuals. The above mediating effects were not replicated in our clinical group partly due to the small sample size. Preventative interventions can target emotional and reward systems to foster resilience and reduce the likelihood of future psychiatric disorders among individuals with a history of maltreatment.
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Affiliation(s)
- Han-Yu Zhou
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
- Shanghai Changning Mental Health Centre, Shanghai, China
| | - Lan Zhou
- Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | | | - Li-Ping Ma
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Ming-Xia Fan
- Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China Normal University, Shanghai, China
| | - Liang Liu
- Clinical Research Center for Mental Disorders, Chinese-German Institute of Mental Health, Shanghai Pu-dong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China
| | - Xu-Dong Zhao
- Clinical Research Center for Mental Disorders, Chinese-German Institute of Mental Health, Shanghai Pu-dong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China
| | - Chao Yan
- Shanghai Changning Mental Health Centre, Shanghai, China
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
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Liu H, Hao Z, Qiu S, Wang Q, Zhan L, Huang L, Shao Y, Wang Q, Su C, Cao Y, Sun J, Wang C, Lv Y, Li M, Shen W, Li H, Jia X. Grey matter structural alterations in anxiety disorders: a voxel-based meta-analysis. Brain Imaging Behav 2023:10.1007/s11682-023-00842-x. [PMID: 38150133 DOI: 10.1007/s11682-023-00842-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2023] [Indexed: 12/28/2023]
Abstract
Anxiety disorders (ADs) are a group of prevalent and destructive mental illnesses, but the current understanding of their underlying neuropathology is still unclear. Employing voxel-based morphometry (VBM), previous studies have demonstrated several common brain regions showing grey matter volume (GMV) abnormalities. However, contradictory results have been reported among these studies. Considering that different subtypes of ADs exhibit common core symptoms despite different diagnostic criteria, and previous meta-analyses have found common core GMV-altered brain regions in ADs, the present research aimed to combine the results of individual studies to identify common GMV abnormalities in ADs. Therefore, we first performed a systematic search in PubMed, Embase, and Web of Science on studies investigating GMV differences between patients with ADs and healthy controls (HCs). Then, the anisotropic effect-size signed differential mapping (AES-SDM) was applied in this meta-analysis. A total of 24 studies (including 25 data sets) were included in the current study, and 906 patients with ADs and 1003 HCs were included. Compared with the HCs, the patients with ADs showed increased GMV in the left superior parietal gyrus, right angular gyrus, left precentral gyrus, and right lingual gyrus, and decreased GMV in the bilateral insula, bilateral thalamus, left caudate, and right putamen. In conclusion, the current study has identified some abnormal GMV brain regions that are related to the pathological mechanisms of anxiety disorders. These findings could contribute to a better understanding of the underlying neuropathology of ADs.
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Affiliation(s)
- Han Liu
- School of Psychology, Zhejiang Normal University, Jinhua, China
- Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Zhejiang Normal University, Jinhua, China
| | - Zeqi Hao
- School of Psychology, Zhejiang Normal University, Jinhua, China
- Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Zhejiang Normal University, Jinhua, China
| | - Shasha Qiu
- School of Psychology, Zhejiang Normal University, Jinhua, China
- Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Zhejiang Normal University, Jinhua, China
| | - Qianqian Wang
- School of Psychology, Zhejiang Normal University, Jinhua, China
- Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Zhejiang Normal University, Jinhua, China
| | - Linlin Zhan
- School of Western Languages, Heilongjiang University, Heilongjiang, China
| | - Lina Huang
- Department of Radiology, Changshu No.2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China
| | - Youbin Shao
- School of Psychology, Zhejiang Normal University, Jinhua, China
- Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Zhejiang Normal University, Jinhua, China
| | - Qing Wang
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China
| | - Chang Su
- School of Psychology, Zhejiang Normal University, Jinhua, China
- Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Zhejiang Normal University, Jinhua, China
| | - Yikang Cao
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Jiawei Sun
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Chunjie Wang
- Institute of Brain Science, Department of Psychology, School of Education, Hangzhou Normal University, Hangzhou, China
- Center for Cognition and Brain Disorders, the Affiliated Hospital, Hangzhou Normal University, Hangzhou, China
| | - Yating Lv
- Center for Cognition and Brain Disorders, the Affiliated Hospital, Hangzhou Normal University, Hangzhou, China
| | - Mengting Li
- School of Psychology, Zhejiang Normal University, Jinhua, China
- Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Zhejiang Normal University, Jinhua, China
| | - Wenbin Shen
- Department of Radiology, Changshu No.2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, Jiangsu, China
| | - Huayun Li
- School of Psychology, Zhejiang Normal University, Jinhua, China.
- Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Zhejiang Normal University, Jinhua, China.
| | - Xize Jia
- School of Psychology, Zhejiang Normal University, Jinhua, China.
- Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Zhejiang Normal University, Jinhua, China.
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Ahn S, Lee SH, Lee KS. Impact of Intolerance of Uncertainty on Brain Structural Changes in Panic Disorder. Psychiatry Investig 2023; 20:1069-1076. [PMID: 37997335 PMCID: PMC10678144 DOI: 10.30773/pi.2023.0181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 08/06/2023] [Accepted: 08/20/2023] [Indexed: 11/25/2023] Open
Abstract
OBJECTIVE This study investigated the impact of intolerance of uncertainty (IU) on structural changes in the brain and symptom severity in patients with panic disorder. METHODS This study included 90 participants diagnosed with panic disorder. The IU Scale, Panic Disorder Severity Scale (PDSS), Beck Depression Inventory-II (BDI-II), Penn State Worry Questionnaire (PSWQ), Self-Forgiveness Scale (SFS), and Short Form 36 Health Survey (SF) were used. A voxel-wise correlation analysis was conducted to investigate the structural differences in the gray matter. RESULTS As IU increased, the cortical thickness of the right lingual gyrus decreased significantly, while the gray matter volume of the right pars triangularis increased. The cortical thickness of the right lingual gyrus showed a significant negative correlation with the BDI-II score and a positive correlation with the SFS. Additionally, the gray matter volume of the right pars triangularis was positively correlated with the PDSS, PSWQ, and BDI-II scores and negatively correlated with the mental health domain of the SF. CONCLUSION According to our findings, elevated IU in participants with panic disorder was associated with cortical thinning in the lingual gyrus and increased gray matter volume in the pars triangularis. These structural alterations may also have an impact on perceived quality of life, as well as high levels of depression and anxiety.
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Affiliation(s)
- Sungjun Ahn
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
| | - Kang Soo Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
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Klugah-Brown B, Zhou X, Wang L, Gan X, Zhang R, Liu X, Song X, Zhao W, Biswal BB, Yu F, Montag C, Becker B. Associations between levels of Internet Gaming Disorder symptoms and striatal morphology-replication and associations with social anxiety. PSYCHORADIOLOGY 2022; 2:207-215. [PMID: 38665272 PMCID: PMC10917202 DOI: 10.1093/psyrad/kkac020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 04/28/2024]
Abstract
Background Brain structural alterations of the striatum have been frequently observed in internet gaming disorder (IGD); however, the replicability of the results and the associations with social-affective dysregulations such as social anxiety remain to be determined. Methods The present study combined a dimensional neuroimaging approach with both voxel-wise and data-driven multivariate approaches to (i) replicate our previous results on a negative association between IGD symptom load (assessed by the Internet Gaming Disorder Scale-Short Form) and striatal volume, (ii) extend these findings to female individuals, and (iii) employ multivariate and mediation models to determine common brain structural representations of IGD and social anxiety (assessed by the Liebowitz Social Anxiety Scale). Results In line with the original study, the voxel-wise analyses revealed a negative association between IGD and volumes of the bilateral caudate. Going beyond the earlier study investigating only male participants, the present study demonstrates that the association in the right caudate was comparable in both the male and the female subsamples. Further examination using the multivariate approach revealed regionally different associations between IGD and social anxiety with striatal density representations in the dorsal striatum (caudate) and ventral striatum (nucleus accumbens). Higher levels of IGD were associated with higher social anxiety and the association was critically mediated by the multivariate neurostructural density variations of the striatum. Conclusions Altered striatal volumes may represent a replicable and generalizable marker of IGD symptoms. However, exploratory multivariate analyses revealed more complex and regional specific associations between striatal density and IGD as well as social anxiety symptoms. Variations in both tendencies may share common structural brain representations, which mediate the association between increased IGD and social anxiety.
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Affiliation(s)
- Benjamin Klugah-Brown
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, P.R. China
| | - Xinqi Zhou
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, P.R. China
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, 610101, China
| | - Lan Wang
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, P.R. China
| | - Xianyang Gan
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, P.R. China
| | - Ran Zhang
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, P.R. China
| | - Xiqin Liu
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, P.R. China
| | - Xinwei Song
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, P.R. China
| | - Weihua Zhao
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, P.R. China
| | - Bharat B Biswal
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, P.R. China
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, USA
| | - Fangwen Yu
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, P.R. China
| | - Christian Montag
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, 89069 Ulm, Germany
| | - Benjamin Becker
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, P.R. China
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Liu X, Klugah-Brown B, Zhang R, Chen H, Zhang J, Becker B. Pathological fear, anxiety and negative affect exhibit distinct neurostructural signatures: evidence from psychiatric neuroimaging meta-analysis. Transl Psychiatry 2022; 12:405. [PMID: 36151073 PMCID: PMC9508096 DOI: 10.1038/s41398-022-02157-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 09/04/2022] [Accepted: 09/06/2022] [Indexed: 11/24/2022] Open
Abstract
Internalizing disorders encompass anxiety, fear and depressive disorders, which exhibit overlap at both conceptual and symptom levels. Given that a neurobiological evaluation is lacking, we conducted a Seed-based D-Mapping comparative meta-analysis including coordinates as well as original statistical maps to determine common and disorder-specific gray matter volume alterations in generalized anxiety disorder (GAD), fear-related anxiety disorders (FAD, i.e., social anxiety disorder, specific phobias, panic disorder) and major depressive disorder (MDD). Results showed that GAD exhibited disorder-specific altered volumes relative to FAD including decreased volumes in left insula and lateral/medial prefrontal cortex as well as increased right putamen volume. Both GAD and MDD showed decreased prefrontal volumes compared to controls and FAD. While FAD showed less robust alterations in lingual gyrus compared to controls, this group presented intact frontal integrity. No shared structural abnormalities were found. Our study is the first to provide meta-analytic evidence for distinct neuroanatomical abnormalities underlying the pathophysiology of anxiety-, fear-related and depressive disorders. These findings may have implications for determining promising target regions for disorder-specific neuromodulation interventions (e.g. transcranial magnetic stimulation or neurofeedback).
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Affiliation(s)
- Xiqin Liu
- grid.54549.390000 0004 0369 4060The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, 611731 Chengdu, P. R. China
| | - Benjamin Klugah-Brown
- grid.54549.390000 0004 0369 4060The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, 611731 Chengdu, P. R. China
| | - Ran Zhang
- grid.54549.390000 0004 0369 4060The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, 611731 Chengdu, P. R. China
| | - Huafu Chen
- grid.54549.390000 0004 0369 4060The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, 611731 Chengdu, P. R. China
| | - Jie Zhang
- grid.8547.e0000 0001 0125 2443Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, 200433 Shanghai, P. R. China ,grid.8547.e0000 0001 0125 2443Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Fudan University, Ministry of Education, 200433 Shanghai, P. R. China
| | - Benjamin Becker
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, 611731, Chengdu, P. R. China.
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10
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Lam YS, Liu XX, Ke Y, Yung WH. Edge-based network analysis reveals frequency-specific network dynamics in aberrant anxiogenic processing in rats. Netw Neurosci 2022; 6:816-833. [PMID: 36605411 PMCID: PMC9810363 DOI: 10.1162/netn_a_00251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 04/10/2022] [Indexed: 01/07/2023] Open
Abstract
Uncovering interactions between edges of brain networks can reveal the organizational principle of the networks and also their dysregulations underlying aberrant behaviours such as in neuropsychiatric diseases. In this study, we looked into the applicability of edge-based network analysis in uncovering possible network mechanisms of aberrant anxiogenic processing. Utilizing a rat model of prodromal Parkinson's disease we examined how a dorsomedial striatum-tied associative network (DSAN) may mediate context-based anxiogenic behaviour. Following dopamine depletion in the dorsomedial striatum, an exaggerated bottom-up signalling (posterior parietal-hippocampal-retrosplenial to anterior prefrontal-cingulate-amygdala regions) and gradient specific to the theta frequency in this network was observed. This change was accompanied by increased anxiety behaviour of the animals. By employing an edge-based approach in correlating informational flow (phase transfer entropy) with functional connectivity of all edges of this network, we further explore how the abnormal bottom-up signalling might be explained by alterations to the informational flow-connectivity motifs in the network. Our results demonstrate usage of edge-based network analysis in revealing concurrent informational processing and functional organization dynamics across multiple pathways in a brain network. This approach in unveiling network abnormalities and its impact on behavioural outcomes would be useful in probing the network basis of neuropsychiatric conditions.
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Affiliation(s)
- Yin-Shing Lam
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong,Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Hong Kong
| | - Xiu-Xiu Liu
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong,Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Hong Kong
| | - Ya Ke
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong,Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Hong Kong,* Corresponding Authors: ;
| | - Wing-Ho Yung
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong,Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Hong Kong,* Corresponding Authors: ;
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11
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Del Popolo Cristaldi F, Buodo G, Duma GM, Sarlo M, Mento G. Unbalanced functional connectivity at rest affects the ERP correlates of affective prediction in high intolerance of uncertainty individuals: A high density EEG investigation. Int J Psychophysiol 2022; 178:22-33. [PMID: 35709946 DOI: 10.1016/j.ijpsycho.2022.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 05/28/2022] [Accepted: 06/07/2022] [Indexed: 12/21/2022]
Abstract
In a recent study we outlined the link between Intolerance of Uncertainty (IU) and the neural correlates of affective predictions, as constructed by the brain (generation stage) to prepare to relevant stimuli (implementation stage), and update predictive models according to incoming stimuli (updating stage). In this study we further explored whether the brain's functional organization at rest can modulate neural activity elicited within an emotional S1-S2 paradigm as a function of IU and uncertainty of S1-S2 contingencies. We computed resting state functional connectivity (RS-FC) from a 3-min resting period recorded with high density EEG, and we tested whether RS graph theory nodal measures (i.e., strength, clustering coefficient, betweenness centrality) predicted in-task ERP modulation as a function of IU. We found that RS-FC differently predicted in-task ERPs within the generation and updating stages. Higher IU levels were associated to altered RS-FC patterns within both domain-specific (i.e., right superior temporal sulcus) and domain-general regions (i.e., right orbitofrontal cortex), predictive of a reduced modulation of in-task ERPs in the generation and updating stages. This is presumably ascribable to an unbalancing between synchronization and integration within these regions, which may disrupt the exchange of information between top-down and bottom-up pathways. This altered RS-FC pattern may in turn result in the construction of less efficient affective predictions and a reduced ability to deal with contextual uncertainty in individuals high in IU.
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Affiliation(s)
| | - Giulia Buodo
- Department of General Psychology, University of Padua, Via Venezia 8, 35131 Padova, Italy
| | - Gian Marco Duma
- Institut de Neurosciences des Systèmes, Aix-Marseille Université, 27 Bd Jean Moulin, 13005 Marseille, France
| | - Michela Sarlo
- Department of Communication Sciences, Humanities and International Studies, University of Urbino Carlo Bo, Via Saffi 15, 61029 Urbino, Italy
| | - Giovanni Mento
- Department of General Psychology, University of Padua, Via Venezia 8, 35131 Padova, Italy; Padua Neuroscience Center (PNC), University of Padua, Via Giuseppe Orus 2, 35131 Padova, Italy
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12
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Brain Iron and Mental Health Symptoms in Youth with and without Prenatal Alcohol Exposure. Nutrients 2022; 14:nu14112213. [PMID: 35684012 PMCID: PMC9183007 DOI: 10.3390/nu14112213] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 05/18/2022] [Accepted: 05/19/2022] [Indexed: 12/18/2022] Open
Abstract
Prenatal alcohol exposure (PAE) negatively affects brain development and increases the risk of poor mental health. We investigated if brain volumes or magnetic susceptibility, an indirect measure of brain iron, were associated with internalizing or externalizing symptoms in youth with and without PAE. T1-weighted and quantitative susceptibility mapping (QSM) MRI scans were collected for 19 PAE and 40 unexposed participants aged 7.5–15 years. Magnetic susceptibility and volume of basal ganglia and limbic structures were extracted using FreeSurfer. Internalizing and Externalizing Problems were assessed using the Behavioural Assessment System for Children (BASC-2-PRS). Susceptibility in the nucleus accumbens was negatively associated with Internalizing Problems, while amygdala susceptibility was positively associated with Internalizing Problems across groups. PAE moderated the relationship between thalamus susceptibility and internalizing symptoms as well as the relationship between putamen susceptibility and externalizing symptoms. Brain volume was not related to internalizing or externalizing symptoms. These findings highlight that brain iron is related to internalizing and externalizing symptoms differently in some brain regions for youth with and without PAE. Atypical iron levels (high or low) may indicate mental health issues across individuals, and iron in the thalamus may be particularly important for behavior in individuals with PAE.
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13
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Chen Y, Chaudhary S, Wang W, Li CSR. Gray matter volumes of the insula and anterior cingulate cortex and their dysfunctional roles in cigarette smoking. ADDICTION NEUROSCIENCE 2022; 1:100003. [PMID: 37220533 PMCID: PMC10201991 DOI: 10.1016/j.addicn.2021.100003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
The salience network, including the insula and anterior cingulate cortex (ACC), has been implicated in nicotine addiction. Structural imaging studies have reported diminished insula and ACC gray matter volumes (GMVs) in smokers as compared to nonsmokers. However, it remains unclear how insula and ACC GMVs may relate to years of smoking, addiction severity, or behavioral traits known to dispose individuals to smoking. Here, with a dataset curated from the Human Connectome Project and voxel-based morphometry, we replicated the findings of smaller GMVs of the insula and medial prefrontal cortex, including the dorsal ACC and supplementary motor area (dACC/SMA), in (70 heavy < 209 light < 209 never) smokers matched in age, sex, and average daily num ber of drinks. The GMVs of the insula or dACC/SMA were not significantly correlated with years of smoking or Fagerstrom Test for Nicotine Dependence (FTND) scores. Heavy relative to never smokers demonstrated higher externalizing and internalizing scores, as evaluated by the NIH Emotion. In heavy smokers, the dACC/SMA but not insula GMV was positively correlated with both externalizing and internalizing scores. The findings together confirm volumetric changes in the salience network in heavy smokers and suggest potentially distinct dysfunctional roles of the insula and dACC/SMA in chronic smoking.
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Affiliation(s)
- Yu Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Shefali Chaudhary
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Wuyi Wang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Chiang-Shan R. Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, United States
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, United States
- Wu Tsai Institute, Yale University, New Haven, CT, United States
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14
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Reduced vmPFC volume mediates the association between early exposure to family material hardship and problematic mobile phone use: The moderating role of parental attachment. CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-022-02720-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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15
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Fraporti TT, Bandeira CE, Tovo-Rodrigues L, Martins-Silva T, Hutz MH, Rohde LA, Bau CHD, Grevet EH, da Silva BS, Rovaris DL, Dresch F, Contini V, Genro JP. Caffeine-related genes influence anxiety disorders in children and adults with ADHD. J Psychiatr Res 2022; 145:353-360. [PMID: 34801255 DOI: 10.1016/j.jpsychires.2021.11.004] [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: 06/08/2021] [Revised: 10/19/2021] [Accepted: 11/02/2021] [Indexed: 11/28/2022]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) and anxiety disorders (AD) frequently co-occur, increasing morbidity and challenging treatment. Caffeine is a central nervous system stimulant and acts in the brain through adenosine receptors, influencing attention, alertness, and anxiety. In the present study, we performed a gene-set analysis to verify if genes related to caffeine response are associated with anxiety disorders in 240 children and 406 adults with ADHD. We demonstrated an association between the gene-set with AD in children (P = 0.0054) and with the number of anxiety disorders in adults (P = 0.0197). In order to test if this effect is a result of anxiety in general or is related to AD comorbid with ADHD, we evaluated the association between caffeine gene-set with AD in an adult control sample. The gene-set was neither associated with the AD presence (P = 0.3008) nor with the number of AD (P = 0.5594) in this control sample. We also test this gene set with ADHD (n = 55,374) and AD (n = 18,186) GWAS summary statistics, and we did not observe significant results with ADHD (P = 0.5587) or AD (P = 0.3930). These findings suggest the caffeine-related genes play a role in the etiology of an anxiety disorder phenotype present in children and adults with ADHD.
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Affiliation(s)
- Thailan Teles Fraporti
- Graduate Program in Biosciences, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil
| | - Cibele Edom Bandeira
- Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Rio Grande do Sul, Porto Alegre, Brazil; ADHD and Developmental Psychiatry Programs, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Brazil
| | | | - Thais Martins-Silva
- Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Mara Helena Hutz
- Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Rio Grande do Sul, Porto Alegre, Brazil; ADHD and Developmental Psychiatry Programs, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Brazil
| | - Luis Augusto Rohde
- ADHD and Developmental Psychiatry Programs, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Brazil; National Institute of Developmental Psychiatry for Children and Adolescents, Brazil; Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Claiton Henrique Dotto Bau
- Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Rio Grande do Sul, Porto Alegre, Brazil; ADHD and Developmental Psychiatry Programs, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Brazil; Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Eugenio Horacio Grevet
- ADHD and Developmental Psychiatry Programs, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Brazil; Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Department of Psychiatry and Legal Medicine, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre Brazil
| | - Bruna Santos da Silva
- Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Rio Grande do Sul, Porto Alegre, Brazil; ADHD and Developmental Psychiatry Programs, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Brazil
| | - Diego Luiz Rovaris
- Department of Physiology and Biophysics, Instituto de Ciencias Biomedicas Universidade de Sao Paulo, São Paulo, Brazil; Graduate Program in Human Physiology, Instituto de Ciencias Biomedicas Universidade de Sao Paulo, São Paulo, Brazil
| | - Fabiane Dresch
- Graduate Program in Biotechnology, Universidade do Vale do Taquari - Univates, Lajeado, Brazil
| | - Verônica Contini
- Graduate Program in Biotechnology, Universidade do Vale do Taquari - Univates, Lajeado, Brazil
| | - Júlia Pasqualini Genro
- Graduate Program in Biosciences, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil.
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16
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Bas‐Hoogendam JM, Groenewold NA, Aghajani M, Freitag GF, Harrewijn A, Hilbert K, Jahanshad N, Thomopoulos SI, Thompson PM, Veltman DJ, Winkler AM, Lueken U, Pine DS, Wee NJA, Stein DJ, Agosta F, Åhs F, An I, Alberton BAV, Andreescu C, Asami T, Assaf M, Avery SN, Nicholas L, Balderston, Barber JP, Battaglia M, Bayram A, Beesdo‐Baum K, Benedetti F, Berta R, Björkstrand J, Blackford JU, Blair JR, Karina S, Blair, Boehme S, Brambilla P, Burkhouse K, Cano M, Canu E, Cardinale EM, Cardoner N, Clauss JA, Cividini C, Critchley HD, Udo, Dannlowski, Deckert J, Demiralp T, Diefenbach GJ, Domschke K, Doruyter A, Dresler T, Erhardt A, Fallgatter AJ, Fañanás L, Brandee, Feola, Filippi CA, Filippi M, Fonzo GA, Forbes EE, Fox NA, Fredrikson M, Furmark T, Ge T, Gerber AJ, Gosnell SN, Grabe HJ, Grotegerd D, Gur RE, Gur RC, Harmer CJ, Harper J, Heeren A, Hettema J, Hofmann D, Hofmann SG, Jackowski AP, Andreas, Jansen, Kaczkurkin AN, Kingsley E, Kircher T, Kosti c M, Kreifelts B, Krug A, Larsen B, Lee S, Leehr EJ, Leibenluft E, Lochner C, Maggioni E, Makovac E, Mancini M, Manfro GG, Månsson KNT, Meeten F, Michałowski J, Milrod BL, Mühlberger A, Lilianne R, Mujica‐Parodi, Munjiza A, Mwangi B, Myers M, Igor Nenadi C, Neufang S, Nielsen JA, Oh H, Ottaviani C, Pan PM, Pantazatos SP, Martin P, Paulus, Perez‐Edgar K, Peñate W, Perino MT, Peterburs J, Pfleiderer B, Phan KL, Poletti S, Porta‐Casteràs D, Price RB, Pujol J, Andrea, Reinecke, Rivero F, Roelofs K, Rosso I, Saemann P, Salas R, Salum GA, Satterthwaite TD, Schneier F, Schruers KRJ, Schulz SM, Schwarzmeier H, Seeger FR, Smoller JW, Soares JC, Stark R, Stein MB, Straube B, Straube T, Strawn JR, Suarez‐Jimenez B, Boris, Suchan, Sylvester CM, Talati A, Tamburo E, Tükel R, Heuvel OA, Van der Auwera S, Nieuwenhuizen H, Tol M, van Velzen LS, Bort CV, Vermeiren RRJM, Visser RM, Volman I, Wannemüller A, Wendt J, Werwath KE, Westenberg PM, Wiemer J, Katharina, Wittfeld, Wu M, Yang Y, Zilverstand A, Zugman A, Zwiebel HL. ENIGMA-anxiety working group: Rationale for and organization of large-scale neuroimaging studies of anxiety disorders. Hum Brain Mapp 2022; 43:83-112. [PMID: 32618421 PMCID: PMC8805695 DOI: 10.1002/hbm.25100] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/09/2020] [Accepted: 06/08/2020] [Indexed: 12/11/2022] Open
Abstract
Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA-Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA-Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA-Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders.
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Affiliation(s)
- Janna Marie Bas‐Hoogendam
- Department of Developmental and Educational PsychologyLeiden University, Institute of Psychology Leiden The Netherlands
- Department of PsychiatryLeiden University Medical Center Leiden The Netherlands
- Leiden Institute for Brain and Cognition Leiden The Netherlands
| | - Nynke A. Groenewold
- Department of Psychiatry & Mental HealthUniversity of Cape Town Cape Town South Africa
| | - Moji Aghajani
- Department of PsychiatryAmsterdam UMC / VUMC Amsterdam The Netherlands
- Department of Research & InnovationGGZ inGeest Amsterdam The Netherlands
| | - Gabrielle F. Freitag
- National Institute of Mental Health, Emotion and Development Branch Bethesda Maryland USA
| | - Anita Harrewijn
- National Institute of Mental Health, Emotion and Development Branch Bethesda Maryland USA
| | - Kevin Hilbert
- Department of PsychologyHumboldt‐Universität zu Berlin Berlin Germany
| | - Neda Jahanshad
- University of Southern California Keck School of MedicineImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute Los Angeles California USA
| | - Sophia I. Thomopoulos
- University of Southern California Keck School of MedicineImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute Los Angeles California USA
| | - Paul M. Thompson
- University of Southern California Keck School of MedicineImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute Los Angeles California USA
| | - Dick J. Veltman
- Department of PsychiatryAmsterdam UMC / VUMC Amsterdam The Netherlands
| | - Anderson M. Winkler
- National Institute of Mental Health, Emotion and Development Branch Bethesda Maryland USA
| | - Ulrike Lueken
- Department of PsychologyHumboldt‐Universität zu Berlin Berlin Germany
| | - Daniel S. Pine
- National Institute of Mental Health, Emotion and Development Branch Bethesda Maryland USA
| | - Nic J. A. Wee
- Department of PsychiatryLeiden University Medical Center Leiden The Netherlands
- Leiden Institute for Brain and Cognition Leiden The Netherlands
| | - Dan J. Stein
- Department of Psychiatry & Mental HealthUniversity of Cape Town Cape Town South Africa
- University of Cape TownSouth African MRC Unit on Risk & Resilience in Mental Disorders Cape Town South Africa
- University of Cape TownNeuroscience Institute Cape Town South Africa
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17
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Wang Q, Wang C, Deng Q, Zhan L, Tang Y, Li H, Antwi CO, Xiang A, Lv Y, Jia X, Ren J. Alterations of regional spontaneous brain activities in anxiety disorders: A meta-analysis. J Affect Disord 2022; 296:233-240. [PMID: 34619449 DOI: 10.1016/j.jad.2021.09.062] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 09/03/2021] [Accepted: 09/21/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Recent resting-state functional magnetic resonance imaging studies have provided strong evidence of abnormal regional spontaneous brain activities among anxiety-disordered patients. However, the evidence has been divergent and inconclusive. Therefore, it is necessary to perform a meta-analysis identifying a common pattern of altered regional spontaneous brain activity for anxiety disorders. METHOD Corresponding research of anxiety disorders, namely, whole-brain rs-fMRI studies that measured differences in regional homogeneity, amplitude of low-frequency fluctuations, or fractional amplitude of low-frequency fluctuations, were analyzed in this study. Overall, seven studies with 235 anxiety-disordered patients and 241 healthy controls were ultimately included in the meta-analysis. The meta-analysis was processed by seed-based d mapping. RESULTS Compared with healthy controls, patients with anxiety disorders showed significantly decreased regional spontaneous brain activities in the right putamen, the right orbital inferior frontal gyrus, and the right temporal pole. No increases in regional spontaneous brain activities were detected in patients relative to the controls. LIMITATION Limited number of available studies, only Asian samples, and insufficient information of sample characteristics. CONCLUSION The present study suggests that anxiety disorders are associated with aberrant regional brain activity in areas connected with emotion processing, which extends our understanding of anxiety disorders' pathophysiology.
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Affiliation(s)
- Qianqian Wang
- 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
| | - Chunjie Wang
- Institute of Brain Science and Department of Psychology, School of Education, Hangzhou Normal University, Hangzhou, China
| | - Qiuyue Deng
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Linlin Zhan
- School of Western Language, Heilongjiang University, Heilongjiang, China
| | - Yingying Tang
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
| | - Huayun 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
| | - Collins Opoku Antwi
- 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
| | - Anfeng Xiang
- The First Rehabilitation Hospital of Shanghai, Tongji University School of Medicine, Shanghai, China
| | - Yating Lv
- Institute of Brain Science and Department of Psychology, School of Education, Hangzhou Normal University, Hangzhou, China; Center for Cognition and Brain Disorders, the Affiliated Hospital, Hangzhou Normal University, Hangzhou, China
| | - Xize 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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Demnitz-King H, Göehre I, Marchant NL. The neuroanatomical correlates of repetitive negative thinking: A systematic review. Psychiatry Res Neuroimaging 2021; 316:111353. [PMID: 34390952 DOI: 10.1016/j.pscychresns.2021.111353] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 07/30/2021] [Accepted: 07/30/2021] [Indexed: 12/18/2022]
Abstract
Repetitive negative thinking (RNT) is a cognitive process characterised by intrusive, repetitive, and difficult-to-disengage-from negative thoughts. Heightened RNT levels are prevalent across clinical disorders and have been associated with ill-health (e.g. cardiovascular disease), even at lower, non-clinical levels. Identifying the neuroanatomical correlates of RNT could help characterise structural alterations that transcend diagnostic boundaries and further understanding of the pathogenesis of clinical disorders. We therefore conducted a systematic review to investigate associations between RNT and brain morphology. Following title/abstract and full-text screening, 24 studies were included. We found evidence that RNT severity is associated with grey and white matter volumes/microstructure, particularly in the dorsolateral prefrontal cortex, anterior cingulate cortex and superior longitudinal fasciculus, regions heavily implicated in cognitive control, and emotional processing and regulation. However, inconsistent associations, potentially due to the heterogeneity of included studies (e.g. methodological differences, type of RNT assessed), preclude specific conclusions being reached regarding any one region's association with RNT. Further, given the defuse nature of thoughts, it may be that RNT is associated with distributed brain regions operating within large-scale networks, rather than with a single structure. High quality longitudinal studies, investigating structural networks, are required to confirm the neuroanatomical basis of RNT and elucidate the direction of relationships.
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Affiliation(s)
- Harriet Demnitz-King
- Division of Psychiatry, Faculty of Brain Sciences, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London, United Kingdom.
| | - Isabelle Göehre
- Division of Psychiatry, Faculty of Brain Sciences, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London, United Kingdom; Division of Clinical Psychology and Psychological Treatment, Department of Psychology, Ludwig-Maximilians-University Munich, Leopoldstr. 13, 80802, Munich, Germany
| | - Natalie L Marchant
- Division of Psychiatry, Faculty of Brain Sciences, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London, United Kingdom
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19
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Harrewijn A, Cardinale EM, Groenewold NA, Bas-Hoogendam JM, Aghajani M, Hilbert K, Cardoner N, Porta-Casteràs D, Gosnell S, Salas R, Jackowski AP, Pan PM, Salum GA, Blair KS, Blair JR, Hammoud MZ, Milad MR, Burkhouse KL, Phan KL, Schroeder HK, Strawn JR, Beesdo-Baum K, Jahanshad N, Thomopoulos SI, Buckner R, Nielsen JA, Smoller JW, Soares JC, Mwangi B, Wu MJ, Zunta-Soares GB, Assaf M, Diefenbach GJ, Brambilla P, Maggioni E, Hofmann D, Straube T, Andreescu C, Berta R, Tamburo E, Price RB, Manfro GG, Agosta F, Canu E, Cividini C, Filippi M, Kostić M, Munjiza Jovanovic A, Alberton BAV, Benson B, Freitag GF, Filippi CA, Gold AL, Leibenluft E, Ringlein GV, Werwath KE, Zwiebel H, Zugman A, Grabe HJ, Van der Auwera S, Wittfeld K, Völzke H, Bülow R, Balderston NL, Ernst M, Grillon C, Mujica-Parodi LR, van Nieuwenhuizen H, Critchley HD, Makovac E, Mancini M, Meeten F, Ottaviani C, Ball TM, Fonzo GA, Paulus MP, Stein MB, Gur RE, Gur RC, Kaczkurkin AN, Larsen B, Satterthwaite TD, Harper J, Myers M, Perino MT, Sylvester CM, Yu Q, Lueken U, Veltman DJ, Thompson PM, Stein DJ, Van der Wee NJA, Winkler AM, Pine DS. Cortical and subcortical brain structure in generalized anxiety disorder: findings from 28 research sites in the ENIGMA-Anxiety Working Group. Transl Psychiatry 2021; 11:502. [PMID: 34599145 PMCID: PMC8486763 DOI: 10.1038/s41398-021-01622-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 09/02/2021] [Accepted: 09/14/2021] [Indexed: 12/22/2022] Open
Abstract
The goal of this study was to compare brain structure between individuals with generalized anxiety disorder (GAD) and healthy controls. Previous studies have generated inconsistent findings, possibly due to small sample sizes, or clinical/analytic heterogeneity. To address these concerns, we combined data from 28 research sites worldwide through the ENIGMA-Anxiety Working Group, using a single, pre-registered mega-analysis. Structural magnetic resonance imaging data from children and adults (5-90 years) were processed using FreeSurfer. The main analysis included the regional and vertex-wise cortical thickness, cortical surface area, and subcortical volume as dependent variables, and GAD, age, age-squared, sex, and their interactions as independent variables. Nuisance variables included IQ, years of education, medication use, comorbidities, and global brain measures. The main analysis (1020 individuals with GAD and 2999 healthy controls) included random slopes per site and random intercepts per scanner. A secondary analysis (1112 individuals with GAD and 3282 healthy controls) included fixed slopes and random intercepts per scanner with the same variables. The main analysis showed no effect of GAD on brain structure, nor interactions involving GAD, age, or sex. The secondary analysis showed increased volume in the right ventral diencephalon in male individuals with GAD compared to male healthy controls, whereas female individuals with GAD did not differ from female healthy controls. This mega-analysis combining worldwide data showed that differences in brain structure related to GAD are small, possibly reflecting heterogeneity or those structural alterations are not a major component of its pathophysiology.
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Affiliation(s)
- Anita Harrewijn
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA.
| | - Elise M Cardinale
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Nynke A Groenewold
- Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Janna Marie Bas-Hoogendam
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Department of Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Moji Aghajani
- Department of Psychiatry, Amsterdam UMC, location VUMC, Amsterdam, The Netherlands
- Department of Research & Innovation, GGZ InGeest, Amsterdam, The Netherlands
| | - Kevin Hilbert
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Narcis Cardoner
- Department of Mental Health, University Hospital Parc Taulí-I3PT, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Madrid, Spain
| | - Daniel Porta-Casteràs
- Department of Mental Health, University Hospital Parc Taulí-I3PT, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Madrid, Spain
| | - Savannah Gosnell
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Ramiro Salas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Andrea P Jackowski
- LiNC, Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | - Pedro M Pan
- LiNC, Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | - Giovanni A Salum
- Section on Negative Affect and Social Processes, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Karina S Blair
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
| | - James R Blair
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Mira Z Hammoud
- Department of Psychiatry, NYU School of Medicine, New York University, New York, NY, USA
| | - Mohammed R Milad
- Department of Psychiatry, NYU School of Medicine, New York University, New York, NY, USA
| | - Katie L Burkhouse
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA
| | - K Luan Phan
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
| | - Heidi K Schroeder
- Department of Psychiatry & Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Jeffrey R Strawn
- Department of Psychiatry & Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Katja Beesdo-Baum
- Behavioral Epidemiology, Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Randy Buckner
- Center for Brain Science & Department of Psychology, Harvard University, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Jared A Nielsen
- Center for Brain Science & Department of Psychology, Harvard University, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychology Department & Neuroscience Center, Brigham Young University, Provo, USA
| | - Jordan W Smoller
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Jair C Soares
- Center Of Excellence On Mood Disorders, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Benson Mwangi
- Center Of Excellence On Mood Disorders, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Mon-Ju Wu
- Center Of Excellence On Mood Disorders, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Giovana B Zunta-Soares
- Center Of Excellence On Mood Disorders, Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Michal Assaf
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Gretchen J Diefenbach
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Anxiety Disorders Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Eleonora Maggioni
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - David Hofmann
- Institute of Medical Psychology and Systems Neuroscience, University of Muenster, Muenster, Germany
| | - Thomas Straube
- Institute of Medical Psychology and Systems Neuroscience, University of Muenster, Muenster, Germany
| | - Carmen Andreescu
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Rachel Berta
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Erica Tamburo
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Rebecca B Price
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Gisele G Manfro
- Anxiety Disorder Program, Hospital de Clínicas de Porto Alegre, Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Elisa Canu
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Camilla Cividini
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Milutin Kostić
- Institute of Mental Health, University of Belgrade, Belgrade, Serbia
- Department of Psychiatry, School of Medicine, University of Belgrade, Belgrade, Serbia
| | | | - Bianca A V Alberton
- Graduate Program in Electrical and Computer Engineering, Universidade Tecnológica Federal do Paraná, Curitiba, Puerto Rico, Brazil
| | - Brenda Benson
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Gabrielle F Freitag
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Courtney A Filippi
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Andrea L Gold
- Department of Psychiatry and Human Behavior, Brown University Warren Alpert Medical School, Providence, RI, USA
| | - Ellen Leibenluft
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Grace V Ringlein
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Kathryn E Werwath
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Hannah Zwiebel
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - André Zugman
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Sandra Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Robin Bülow
- Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Nicholas L Balderston
- Center for Neuromodulation in Depression and Stress, University of Pennsylvania, Philadelphia, PA, USA
| | - Monique Ernst
- Section on Neurobiology of Fear and Anxiety, National Institute of Mental Health, Bethesda, MD, USA
| | - Christian Grillon
- Section on Neurobiology of Fear and Anxiety, National Institute of Mental Health, Bethesda, MD, USA
| | | | | | - Hugo D Critchley
- Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, UK
| | - Elena Makovac
- Centre for Neuroimaging Science, Kings College London, London, UK
| | - Matteo Mancini
- Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, UK
| | - Frances Meeten
- School of Psychology, University of Sussex, Brighton, UK
| | - Cristina Ottaviani
- Department of Psychology, Sapienza University of Rome, Rome, Italy
- IRCCS Santa Lucia Foundation, Rome, Italy
| | - Tali M Ball
- Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Gregory A Fonzo
- Department of Psychiatry and Behavioral Sciences, The University of Texas at Austin Dell Medical School, Austin, TX, USA
| | | | - Murray B Stein
- Department of Psychiatry, School of Medicine and Herbert Wertheim School of Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Bart Larsen
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Jennifer Harper
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Michael Myers
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Michael T Perino
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Chad M Sylvester
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Qiongru Yu
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Ulrike Lueken
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam UMC, location VUMC, Amsterdam, The Netherlands
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Dan J Stein
- South African Medical Research Council Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Nic J A Van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Anderson M Winkler
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Daniel S Pine
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
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20
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Identifying profiles of brain structure and associations with current and future psychopathology in youth. Dev Cogn Neurosci 2021; 51:101013. [PMID: 34555784 PMCID: PMC8461345 DOI: 10.1016/j.dcn.2021.101013] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 09/09/2021] [Accepted: 09/10/2021] [Indexed: 12/29/2022] Open
Abstract
Brain structure is often studied as a marker of youth psychopathology by examining associations between volume or thickness of individual regions and specific diagnoses. However, these univariate approaches do not address whether the effect of a particular region may depend on the structure of other regions. Here, we identified subgroups of individuals with distinct profiles of brain structure and examined how these profiles were associated with concurrent and future youth psychopathology. We used latent profile analysis to identify distinct neuroanatomical profiles of subcortical region volume and orbitofrontal cortical thickness in the ABCD study (N = 9376, mean age = 9.91, SD = 0.62). We identified a five-profile solution consisting of a reduced subcortical volume profile, a reduced orbitofrontal thickness profile, a reduced limbic and elevated striatal volume profile, an elevated orbitofrontal thickness and reduced striatal volume profile, and an elevated orbitofrontal thickness and subcortical volume profile. While controlling for age, sex, and intracranial volume, profiles exhibited differences in concurrent psychopathology measured dimensionally and categorically and in psychopathology at 1-year follow-up measured dimensionally. Results show that profiles of brain structure have incremental validity for associations with youth psychopathology beyond intracranial volume. Latent Profile Analysis identified distinct profiles of brain structure in youth. Profiles consider multiple brain regions jointly, rather than each independently. Profiles differed in multiple current and future forms of psychopathology. Differences in psychopathology were beyond age, sex, and intracranial volume.
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21
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Bystritsky A, Spivak NM, Dang BH, Becerra SA, Distler MG, Jordan SE, Kuhn TP. Brain circuitry underlying the ABC model of anxiety. J Psychiatr Res 2021; 138:3-14. [PMID: 33798786 DOI: 10.1016/j.jpsychires.2021.03.030] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 03/12/2021] [Accepted: 03/17/2021] [Indexed: 12/13/2022]
Abstract
Anxiety Disorders are prevalent and often chronic, recurrent conditions that reduce quality of life. The first-line treatments, such as serotonin reuptake inhibitors and cognitive behavioral therapy, leave a significant proportion of patients symptomatic. As psychiatry moves toward targeted circuit-based treatments, there is a need for a theory that unites the phenomenology of anxiety with its underlying neural circuits. The Alarm, Belief, Coping (ABC) theory of anxiety describes how the neural circuits associated with anxiety interact with each other and domains of the anxiety symptoms, both temporally and spatially. The latest advancements in neuroimaging techniques offer the ability to assess these circuits in vivo. Using Neurosynth, a large open-access meta-analytic imaging database, the association between terms related to specific neural circuits was explored within the ABC theory framework. Alarm-related terms were associated with the amygdala, anterior cingulum, insula, and bed nucleus of stria terminalis. Belief-related terms were associated with medial prefrontal cortex, precuneus, bilateral temporal poles, and hippocampus. Coping-related terms were associated with the ventrolateral and dorsolateral prefrontal cortices, basal ganglia, and anterior cingulate. Neural connections underlying the functional neuroanatomy of the ABC model were observed. Additionally, there was considerable interaction and overlap between circuits associated with the symptom domains. Further neuroimaging research is needed to explore the dynamic interaction between the functional domains of the ABC theory. This will pave the way for probing the neuroanatomical underpinnings of anxiety disorders and provide an evidence-based foundation for the development of targeted treatments, such as neuromodulation.
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Affiliation(s)
- Alexander Bystritsky
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, USA; BrainSonix Corporation, Sherman Oaks, CA, USA.
| | - Norman M Spivak
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, USA; Department of Neurosurgery, UCLA, Los Angeles, CA, USA; David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | - Bianca H Dang
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, USA
| | - Sergio A Becerra
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, USA
| | - Margaret G Distler
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, USA
| | - Sheldon E Jordan
- Neurology Management Associates - Los Angeles, Santa Monica, CA, USA
| | - Taylor P Kuhn
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, USA; David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
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22
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Guo X, Yang F, Fan L, Gu Y, Ma J, Zhang J, Liao M, Zhai T, Zhang Y, Li L, Su L, Dai Z. Disruption of functional and structural networks in first-episode, drug-naïve adolescents with generalized anxiety disorder. J Affect Disord 2021; 284:229-237. [PMID: 33618206 DOI: 10.1016/j.jad.2021.01.088] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 01/11/2021] [Accepted: 01/31/2021] [Indexed: 02/01/2023]
Abstract
BACKGROUND Individuals with generalized anxiety disorder (GAD) tend to worry exaggeratedly and uncontrollably about various daily routines. Previous studies have demonstrated that the GAD patients exhibited widespread alternations in both functional networks (FN) and structural networks (SN). However, the simultaneous alternations of the topological organization of FN, SN, as well as their couplings in GAD still remain unknown. METHODS Using multimodal approach, we constructed FN from resting-state functional magnetic imaging (R-fMRI) data and SN from diffusion magnetic resonance imaging (dMRI) data of 32 adolescent GAD patients and 25 healthy controls (HC). Graph theory analysis was employed to investigate the topological properties of FN, SN, and FN-SN coupling. RESULTS Compared to HC, the GAD patients showed disruptions in global (i.e., decreased clustering coefficient, global, and local efficiency) and subnetwork (i.e., reduced intermodular connections, rich club, and feeder connections) levels in FN. Abnormal global level properties (i.e., increased characteristic path length and reduced global efficiency) were also observed in SN. Altered FN-SN couplings in normalized characteristic path length and feeder connections were identified in the GAD patients. The identified network measures were correlated with anxiety severity in the GAD patients. LIMITATIONS The sample size of the current study is small and the cross-sectional nature can not infer causal relationship. CONCLUSIONS Our findings identified GAD-related topological alternations in both FN and SN, together with the couplings between FN and SN, providing us with a novel perspective for understanding the pathophysiological mechanisms of GAD.
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Affiliation(s)
- Xiaotong Guo
- Department of Psychology, Sun Yat-sen University, Guangzhou, China
| | - Fan Yang
- Guangdong mental health center, Guangdong general hospital & Guangdong academy of medical sciences, Guangzhou, China
| | - Linlin Fan
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States
| | - Yue Gu
- Department of Psychology, Sun Yat-sen University, Guangzhou, China
| | - Junji Ma
- Department of Psychology, Sun Yat-sen University, Guangzhou, China
| | - Jinbo Zhang
- Department of Psychology, Sun Yat-sen University, Guangzhou, China
| | - Mei Liao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China..
| | - Tianyi Zhai
- Department of Psychiatry, Guangzhou Huiai Hospital, Guangzhou, China
| | - Yan Zhang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Lingjiang Li
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Linyan Su
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Zhengjia Dai
- Department of Psychology, Sun Yat-sen University, Guangzhou, China.
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23
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Acosta H, Jansen A, Kircher T. Larger bilateral amygdalar volumes are associated with affective loss experiences. J Neurosci Res 2021; 99:1763-1779. [PMID: 33789356 DOI: 10.1002/jnr.24835] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 03/02/2021] [Accepted: 03/11/2021] [Indexed: 01/06/2023]
Abstract
Affective loss (AL) (i.e., bereavement, relationship breakup) is a stressful life event leading to a heightened risk of developing a psychiatric disorder, for example, depression and anxiety disorder. These disorders have been associated with altered subcortical brain volumes. Little is known though, how AL in healthy subjects is linked to subcortical volumes. In a study with 196 healthy young adults, we probed the association between AL across the individual entire life span, assessed via the List of Threatening Experiences Questionnaire, and magnetic resonance imaging brain gray matter volumes (a priori selected: bilateral amygdalae, hippocampi, thalami; exploratory analyses: nuclei accumbens, caudate, putamina), segmented by use of volBrain. AL was defined as death of a first-degree relative/spouse, close relative/friend, and breakup of a marriage or steady relationship. AL was associated with larger bilateral amygdalar volumes and, after taking into account the total number of ALs, with smaller right hippocampal volumes, both irrespective of sex. Exploratory analyses of striatal volumes yielded an association of AL with larger right nucleus accumbens volumes in men, and increased caudate volumes after the loss of a first-degree relative irrespective of sex. Our data suggest that AL engenders alterations in limbic structures that likely involve processes of chronic stress and amygdala- and hippocampus-dependent fear conditioning, and resemble those observed in general anxiety disorder, childhood maltreatment, and major depressive disorder. Our exploratory findings of striatal volume alterations hint at a modulation of reward processing by AL.
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Affiliation(s)
- Henriette Acosta
- Department of Psychiatry and Psychotherapy, Philipps University Marburg, Marburg, Germany.,The FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps University Marburg, Marburg, Germany.,Core-Unit Brainimaging, Faculty of Medicine, Philipps University Marburg, Marburg, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps University Marburg, Marburg, Germany
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24
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Delfin C, Andiné P, Wallinius M, Björnsdotter M. Structural Brain Correlates of the Externalizing Spectrum in Young Adults. Neuroscience 2021; 463:1-13. [PMID: 33774123 DOI: 10.1016/j.neuroscience.2021.03.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 01/20/2021] [Accepted: 03/16/2021] [Indexed: 12/26/2022]
Abstract
The externalizing spectrum, including traits and behaviors such as aggression, reduced inhibitiory control and substance abuse, is associated with altered prefrontal brain morphology. However, the degree to which different manifestations of the externalizing spectrum are associated with distinct or overlapping variations in individual brain morphology is unclear. Here, we therefore used structural magnetic resonance imaging, self-report assessment, and a response inhibition task in a sample of 59 young adults to examine how cortical thickness in the anterior cingulate cortex (ACC), orbitofrontal cortex (OFC), and dorsolateral prefrontal cortex (DLPFC) relate to four different manifestations of the externalizing spectrum: disinhibition, callous aggression, substance abuse, and behavioral inhibitory control. Using Bayesian linear regression models controlling for age, gender, and years of education, we found that the different manifestations of the externalizing spectrum were associated with both distinct and overlapping morphology variations. Specifically, both callous aggression and inhibitory control was associated with increased cortical thickness of the OFC, a region involved in reward processing, decision-making, and regulation of anxiety and fear. Both disinhibition and substance abuse were associated with DLPFC thickness, although with opposite association patterns, possibly reflecting processes related to inhibitory control, working memory and attention. Moreover, disinhibition, but not callous aggression or substance abuse, was associated with behavioral inhibitory control. Our results provide further support for the link between externalizing behaviors and prefrontal brain morphology, while identifying distinct prefrontal areas associated with different clinically relevant manifestations. These findings may help guide further research aimed at developing novel treatment and intervention strategies for externalizing behaviors and disorders.
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Affiliation(s)
- Carl Delfin
- Centre for Ethics, Law and Mental Health, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Research Department, Regional Forensic Psychiatric Clinic, Växjö, Sweden.
| | - Peter Andiné
- Centre for Ethics, Law and Mental Health, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Forensic Psychiatric Clinic, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Forensic Psychiatry, National Board of Forensic Medicine, Gothenburg, Sweden
| | - Märta Wallinius
- Centre for Ethics, Law and Mental Health, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Research Department, Regional Forensic Psychiatric Clinic, Växjö, Sweden; Lund Clinical Research on Externalizing and Developmental Psychopathology, Child and Adolescent Psychiatry, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Malin Björnsdotter
- Centre for Ethics, Law and Mental Health, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Affective Psychiatry, Sahlgrenska University Hospital, Gothenburg, Sweden
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25
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Subcortical gray matter volumes in asthma: associations with asthma duration, control, and anxiety. Brain Imaging Behav 2021; 14:2341-2350. [PMID: 31501976 PMCID: PMC8116327 DOI: 10.1007/s11682-019-00188-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Asthma as a chronic inflammatory disease can be expected to affect central nervous system structures but little is known about subcortical structures in asthma and their potential association with illness-specific outcomes and anxiety. A total of 40 young adults (20 with asthma and 20 gender- and age-matched controls) underwent high-resolution T1-weighted MRI scan, viewed short distressing film clips, and filled in questionnaires about anxious and depressed mood, as well as asthma history, control, and catastrophizing thoughts about asthma, for those with asthma. The structural scans were processed in FSL's FIRST program to delineate subcortical structures of interest: amygdala, hippocampus, putamen, pallidum, caudate nucleus, nucleus accumbens, and thalamus. Findings showed no general reduction in subcortical gray matter volumes in asthma compared to controls. Asthma duration, asthma control, and catastrophizing of asthma and asthma attacks were negatively associated with volumes of putamen and pallidum, and to a weaker extent thalamus and amygdala, while controlling for gender, age, and corticosteroid inhaler use. In addition, stronger anxiety in response to distressing films was associated with lower volume of the pallidum, whereas general anxious and depressed mood was unrelated to subcortical structures. Thus, although there are no subcortical structural differences between young adults with asthma and healthy controls, longer asthma history, suboptimal management, and illness-related anxiety are reflected in lower gray matter volumes of subcortical structures, further emphasizing the importance of maintaining optimal asthma control.
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26
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Won E, Kim YK. Neuroinflammation-Associated Alterations of the Brain as Potential Neural Biomarkers in Anxiety Disorders. Int J Mol Sci 2020; 21:ijms21186546. [PMID: 32906843 PMCID: PMC7555994 DOI: 10.3390/ijms21186546] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 08/30/2020] [Accepted: 09/02/2020] [Indexed: 02/06/2023] Open
Abstract
Stress-induced changes in the immune system, which lead to neuroinflammation and consequent brain alterations, have been suggested as possible neurobiological substrates of anxiety disorders, with previous literature predominantly focusing on panic disorder, agoraphobia, and generalized anxiety disorder, among the anxiety disorders. Anxiety disorders have frequently been associated with chronic stress, with chronically stressful situations being reported to precipitate the onset of anxiety disorders. Also, chronic stress has been reported to lead to hypothalamic–pituitary–adrenal axis and autonomic nervous system disruption, which may in turn induce systemic proinflammatory conditions. Preliminary evidence suggests anxiety disorders are also associated with increased inflammation. Systemic inflammation can access the brain, and enhance pro-inflammatory cytokine levels that have been shown to precipitate direct and indirect neurotoxic effects. Prefrontal and limbic structures are widely reported to be influenced by neuroinflammatory conditions. In concordance with these findings, various imaging studies on panic disorder, agoraphobia, and generalized anxiety disorder have reported alterations in structure, function, and connectivity of prefrontal and limbic structures. Further research is needed on the use of inflammatory markers and brain imaging in the early diagnosis of anxiety disorders, along with the possible efficacy of anti-inflammatory interventions on the prevention and treatment of anxiety disorders.
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Affiliation(s)
- Eunsoo Won
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam 13496, Korea;
| | - Yong-Ku Kim
- Department of Psychiatry, Korea University Ansan Hospital, Korea University College of Medicine, Ansan 15355, Korea
- Correspondence: ; Tel.: +82-31-412-5140; Fax: +82-31-412-5144
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27
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Progressive brain structural alterations assessed via causal analysis in patients with generalized anxiety disorder. Neuropsychopharmacology 2020; 45:1689-1697. [PMID: 32396920 PMCID: PMC7419314 DOI: 10.1038/s41386-020-0704-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 04/13/2020] [Accepted: 05/04/2020] [Indexed: 12/17/2022]
Abstract
Accumulating neuroimaging studies implicate widespread brain structural alterations in patients with generalized anxiety disorder (GAD), but little is known regarding the temporal information of these changes and their causal relationships. In this study, a morphometric analysis was performed on T1-weighted structural images, and the progressive changes in the gray matter volume (GMV) in GAD were simulated by dividing the patients into different groups from low illness duration to high illness duration. The duration was defined as the interval between the onset of GAD and the time for magnetic resonance imaging collection. Then, a causal structural covariance network analysis was conducted to describe the causal relationships of the brain structural alterations in GAD. With increased illness duration, the GMV reduction in GAD originated from the subgenual anterior cingulate cortex (sgACC) and propagated to the bilateral ventromedial prefrontal cortex, right dorsomedial prefrontal cortex, left inferior temporal gyrus, and right insula. Intriguingly, the sgACC and the right insula had positive causal effects on each other. Moreover, both sgACC and right insula exhibited positive causal effects on the parietal cortex and negative effects on the posterior cingulate cortex, dorsolateral prefrontal cortex, visual cortex, and temporal lobe. The opposite causal effects were noted on the somatosensory and the ventrolateral prefrontal cortices. In conclusion, patients with GAD show gradual GMV reduction with increasing ilness duration. Furthermore, the causal effects of the sgACC and the right insula GMV reduction with shifts of duration may provide an important new avenue for understanding the pathological anomalies in GAD.
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28
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Personalized Clinical Approaches to Anxiety Disorders. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1191:489-521. [DOI: 10.1007/978-981-32-9705-0_25] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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29
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Xu H, Guo C, Luo F, Sotoodeh R, Zhang M, Wang Y. Subcortical Brain Abnormalities and Clinical Relevance in Patients With Hemifacial Spasm. Front Neurol 2020; 10:1383. [PMID: 32010045 PMCID: PMC6974682 DOI: 10.3389/fneur.2019.01383] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 12/16/2019] [Indexed: 01/09/2023] Open
Abstract
Purpose: Hemifacial spasm (HFS), a rare neuromuscular movement disorder, is characterized by unilateral, irregular, and paroxysmal facial muscle contractions. To explore the central neural mechanisms of HFS, we conducted vertex-wise shape analyses to investigate volume and shape alterations of subcortical structures, which could help to better understand the abnormality in distinct subcortical regions and determine alternative biomarkers of HFS. Methods: Thirty patients with HFS and 30 age- and sex-matched healthy controls provided written informed consent. T1-weighted structural magnetic resonance imaging (MRI) data were collected from all participants. Vertex-wise shape analyses were performed to assess the volume and shape alterations of subcortical structures following HFS. Post hoc correlations with spasm severity and measures of mood dysfunction were applied to characterize subcortical brain alterations. Results: Compared with healthy controls, patients with HFS showed increased volume in the right caudate specifically. Furthermore, patients exhibited significant shape atrophy in the anterior medial aspect of left pallidum, together with shape expansion in the anterior ventrolateral aspect of right caudate head. In addition, shape alteration in right caudate was positively correlated with both anxiety and depression severity in patients with HFS. Conclusions: This is the first study to employ vertex-wise shape analysis to investigate subcortical brain abnormalities in patients with HFS. Our findings provide compelling evidence for subcortical brain alterations specific to HFS, and further may shed light on the pathophysiology of HFS and apply to the translational medicine.
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Affiliation(s)
- Hui Xu
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Biomedical Information Engineering of Education Ministry, Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Chenguang Guo
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Feifei Luo
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Biomedical Information Engineering of Education Ministry, Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Romina Sotoodeh
- Faculty of Dentistry, McGill University, Montreal, QC, Canada
| | - Ming Zhang
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yuan Wang
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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30
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Cosci F, Mansueto G. Biological and Clinical Markers to Differentiate the Type of Anxiety Disorders. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1191:197-218. [PMID: 32002931 DOI: 10.1007/978-981-32-9705-0_13] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The present chapter is an overview of possible biomarkers which distinguish anxiety disorders as classified by the DSM-5. Structural or activity changes in the brain regions; changes in N-acetylaspartate/creatine, dopamine, serotonin, and oxytocin; hearth rate variability; hypothalamic-pituitary-adrenal axis activity; error-related negativity; respiratory regulation; and genetic variants are proposed. However, their clinical utility is questionable due to low specificity and sensitivity: the majority does not distinguish subjects with different anxiety disorders, and they might be influenced by stress, comorbidity, physical activity, and psychotropic medications. In this framework, the staging model, a clinimetric tool which allows to define the degree of progression of a disease at a point in time and where the patient is located on the continuum of the course of the disease, is proposed since several DSM anxiety disorders take place at different stages of the same syndrome according to the staging model. Thus, a stage-specific biomarker model for anxiety disorders is hypothesized and illustrated.
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Affiliation(s)
- Fiammetta Cosci
- Department of Health Sciences, University of Florence, Florence, Italy. .,Maastricht University Medical Center, Department of Psychiatry & Psychology, School for Mental Health & Neuroscience, Maastricht, The Netherlands.
| | - Giovanni Mansueto
- Department of Health Sciences, University of Florence, Florence, Italy.,Maastricht University Medical Center, Department of Psychiatry & Psychology, School for Mental Health & Neuroscience, Maastricht, The Netherlands
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31
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Cui Q, Sheng W, Chen Y, Pang Y, Lu F, Tang Q, Han S, Shen Q, Wang Y, Xie A, Huang J, Li D, Lei T, He Z, Chen H. Dynamic changes of amplitude of low-frequency fluctuations in patients with generalized anxiety disorder. Hum Brain Mapp 2019; 41:1667-1676. [PMID: 31849148 PMCID: PMC7267950 DOI: 10.1002/hbm.24902] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 10/26/2019] [Accepted: 12/09/2019] [Indexed: 01/18/2023] Open
Abstract
Previous neuroimaging studies have mainly focused on alterations of static and dynamic functional connectivity in patients with generalized anxiety disorder (GAD). However, the characteristics of local brain activity over time in GAD are poorly understood. This study aimed to investigate the abnormal time‐varying local brain activity of GAD by using the amplitude of low‐frequency fluctuation (ALFF) method combined with sliding‐window approach. Group comparison results showed that compared with healthy controls (HCs), patients with GAD exhibited increased dynamic ALFF (dALFF) variability in widespread regions, including the bilateral dorsomedial prefrontal cortex, hippocampus, thalamus, striatum; and left orbital frontal gyrus, inferior parietal lobule, temporal pole, inferior temporal gyrus, and fusiform gyrus. The abnormal dALFF could be used to distinguish between patients with GAD and HCs. Increased dALFF variability values in the striatum were positively correlated with GAD symptom severity. These findings suggest that GAD patients are associated with abnormal temporal variability of local brain activity in regions implicated in executive, emotional, and social function. This study provides insight into the brain dysfunction of GAD from the perspective of dynamic local brain activity, highlighting the important role of dALFF variability in understanding neurophysiological mechanisms and potentially informing the diagnosis of GAD.
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Affiliation(s)
- Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Wei Sheng
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuyan Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yajing Pang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qin Tang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Shaoqiang Han
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qian Shen
- Education Center for Students Cultural Qualities, University of Electronic Science and Technology of China, Chengdu, China
| | - Yifeng Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Ailing Xie
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Jing Huang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Di Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Ting Lei
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
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32
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Kolesar TA, Bilevicius E, Wilson AD, Kornelsen J. Systematic review and meta-analyses of neural structural and functional differences in generalized anxiety disorder and healthy controls using magnetic resonance imaging. NEUROIMAGE-CLINICAL 2019; 24:102016. [PMID: 31835287 PMCID: PMC6879983 DOI: 10.1016/j.nicl.2019.102016] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 08/22/2019] [Accepted: 09/27/2019] [Indexed: 12/18/2022]
Abstract
PFC-amygdala FC is altered in GAD, indicating top-down processing deficits. GAD had reduced activity for emotion regulation and working memory in the culmen. Salience, default, and central executive nodes have altered structure and function.
Objective To compare structure, functional connectivity (FC) and task-based neural differences in subjects with generalized anxiety disorder (GAD) compared to healthy controls (HC). Methods The Embase, Ovid Medline, PsycINFO, Scopus, and Web of Science databases were searched from inception until March 12, 2018. Two reviewers independently screened titles, abstracts, and full-text articles. Data were extracted from records directly contrasting GAD and HC that included structure (connectivity and local indices such as volume, etc.), FC, or task-based magnetic resonance imaging data. Meta-analyses were conducted, as applicable, using AES-SDM software. Results The literature search produced 4,645 total records, of which 85 met the inclusion criteria for the systematic review. Records included structural (n = 35), FC (n = 33), and task-based (n = 42) findings. Meta-analyses were conducted on voxel-based morphometry and task-based results. Discussion The systematic review confirms and extends findings from previous reviews. Although few whole-brain resting state studies were conducted, key nodes of resting state networks have altered physiology: the hippocampus (default network), ACC and amygdala (salience network), have reduced volume, and the dlPFC (central executive network) and ACC have reduced FC with the amygdala in GAD. Nodes in the sensorimotor network are also altered with greater pre- and postcentral volume, reduced supplementary motor area volume, and reduced FC in anterior and increased FC in posterior cerebellum. Conclusions Despite limitations due to sample size, the meta-analyses highly agree with the systematic review and provide evidence of widely distributed neural differences in subjects with GAD, compared to HC. Further research optimized for meta-analyses would greatly improve large-scale comparisons.
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Affiliation(s)
- Tiffany A Kolesar
- Department of Physiology and Pathophysiology, University of Manitoba, Winnipeg, MB, Canada
| | - Elena Bilevicius
- Department of Psychology, University of Manitoba, Winnipeg, MB, Canada
| | - Alyssia D Wilson
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Jennifer Kornelsen
- Department of Physiology and Pathophysiology, University of Manitoba, Winnipeg, MB, Canada; Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada; Department of Radiology, University of Manitoba, Winnipeg, MB, Canada.
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Abstract
BACKGROUND Excessive worry is a defining feature of generalized anxiety disorder and is present in a wide range of other psychiatric conditions. Therefore, individualized predictions of worry propensity could be highly relevant in clinical practice, with respect to the assessment of worry symptom severity at the individual level. METHODS We applied a multivariate machine learning approach to predict dispositional worry based on microstructural integrity of white matter (WM) tracts. RESULTS We demonstrated that the machine learning model was able to decode individual dispositional worry scores from microstructural properties in widely distributed WM tracts (mean absolute error = 10.46, p < 0.001; root mean squared error = 12.82, p < 0.001; prediction R2 = 0.17, p < 0.001). WM tracts that contributed to worry prediction included the posterior limb of internal capsule, anterior corona radiate, and cerebral peduncle, as well as the corticolimbic pathways (e.g. uncinate fasciculus, cingulum, and fornix) already known to be critical for emotion processing and regulation. CONCLUSIONS The current work thus elucidates potential neuromarkers for clinical assessment of worry symptoms across a wide range of psychiatric disorders. In addition, the identification of widely distributed pathways underlying worry propensity serves to better improve the understanding of the neurobiological mechanisms associated with worry.
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Affiliation(s)
- Chunliang Feng
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
- College of Information Science and Technology, Beijing Normal University, Beijing 100875, China
| | - Zaixu Cui
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA19104, USA
| | - Dazhi Cheng
- Department of Pediatric Neurology, Capital Institute of Pediatrics, Beijing 100020, China
| | - Rui Xu
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Ruolei Gu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
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34
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Maggioni E, Delvecchio G, Grottaroli M, Garzitto M, Piccin S, Bonivento C, Maieron M, D'Agostini S, Perna G, Balestrieri M, Brambilla P. Common and different neural markers in major depression and anxiety disorders: A pilot structural magnetic resonance imaging study. Psychiatry Res Neuroimaging 2019; 290:42-50. [PMID: 31279954 DOI: 10.1016/j.pscychresns.2019.06.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 06/24/2019] [Accepted: 06/26/2019] [Indexed: 02/04/2023]
Abstract
Although anxiety and depression often co-occur and share some clinical features, it is still unclear if they are neurobiologically distinct or similar processes. In this study, we explored common and specific cortical morphology alterations in depression and anxiety disorders. Magnetic Resonance Imaging data were acquired from 13 Major Depressive Disorder (MDD), 11 Generalized Anxiety Disorder (GAD), 11 Panic Disorder (PD) patients and 21 healthy controls (HC). Regional cortical thickness, surface area (SA), volume and gyrification were measured and compared among groups. We found left orbitofrontal thinning in all patient groups, as well as disease-specific alterations. MDD showed volume deficits in left precentral gyrus compared to all groups, volume and area deficits in right fusiform gyrus compared to GAD and HC. GAD showed lower SA than MDD and PD in right superior parietal cortex, higher gyrification than HC in right frontal gyrus. PD showed higher gyrification in left superior parietal cortex when compared to MDD and higher SA in left postcentral gyrus compared to all groups. Our results suggest that clinical phenotypic similarities between major depression and anxiety disorders might rely on common prefrontal alterations. Frontotemporal and parietal abnormalities may represent unique biological signatures of depression and anxiety.
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Affiliation(s)
- Eleonora Maggioni
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Pathophysiology and Transplantation, University of Milan, via F. Sforza 35, Milan, Italy
| | - Marika Grottaroli
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Marco Garzitto
- Scientific Institute, IRCCS E. Medea, via della Bontà 7, San Vito al Tagliamento, Pordenone, Italy
| | - Sara Piccin
- Unit of Psychiatry, Department of Medicine (DAME), University of Udine, via Colugna 50, Udine, Italy
| | - Carolina Bonivento
- Scientific Institute, IRCCS E. Medea, via della Bontà 7, San Vito al Tagliamento, Pordenone, Italy
| | - Marta Maieron
- Department of Physics, Azienda Ospedaliero Universitaria 'S.Maria della Misericordia', P.za S. Maria della Misericordia, Udine, Italy
| | - Serena D'Agostini
- Department of Neuroradiology, Azienda Ospedaliero Universitaria 'S.Maria della Misericordia', P.za S. Maria della Misericordia, Udine, Italy
| | - Giampaolo Perna
- Department of Clinical Neurosciences, Villa San Benedetto Menni, Hermanas Hospitalarias, via Roma 16, Albese con Cassano, Como, Italy; Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Matteo Balestrieri
- Unit of Psychiatry, Department of Medicine (DAME), University of Udine, via Colugna 50, Udine, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, via F. Sforza 35, Milan, Italy.
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35
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Madonna D, Delvecchio G, Soares JC, Brambilla P. Structural and functional neuroimaging studies in generalized anxiety disorder: a systematic review. ACTA ACUST UNITED AC 2019; 41:336-362. [PMID: 31116259 PMCID: PMC6804309 DOI: 10.1590/1516-4446-2018-0108] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 08/16/2018] [Indexed: 01/04/2023]
Abstract
OBJECTIVES Brain imaging studies carried out in patients suffering from generalized anxiety disorder (GAD) have contributed to better characterize the pathophysiological mechanisms underlying this disorder. The present study reviews the available functional and structural brain imaging evidence on GAD, and suggests further strategies for investigations in this field. METHODS A systematic literature review was performed in PubMed, PsycINFO, and Google Scholar, aiming to identify original research evaluating GAD patients with the use of structural and functional magnetic resonance imaging as well as diffusion tensor imaging. RESULTS The available studies have shown impairments in ventrolateral and dorsolateral prefrontal cortex, anterior cingulate, posterior parietal regions, and amygdala in both pediatric and adult GAD patients, mostly in the right hemisphere. However, the literature is often tentative, given that most studies have employed small samples and included patients with comorbidities or in current use of various medications. Finally, different methodological aspects, such as the type of imaging equipment used, also complicate the generalizability of the findings. CONCLUSIONS Longitudinal neuroimaging studies with larger samples of both juvenile and adult GAD patients, as well as at risk individuals and unaffected relatives, should be carried out in order to shed light on the specific biological signature of GAD.
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Affiliation(s)
- Domenico Madonna
- Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Universitá di Milano, Milano, Italy.,Dipartimento di Neuroscienze e Salute Mentale, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Giuseppe Delvecchio
- Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Universitá di Milano, Milano, Italy
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Paolo Brambilla
- Dipartimento di Neuroscienze e Salute Mentale, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.,Department of Psychiatry and Behavioral Sciences, University of Texas Health Sciences Center at Houston, Houston, TX, USA
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Ma Z, Wang C, Hines CS, Lu X, Wu Y, Xu H, Li J, Wang Q, Pang M, Zhong Y, Zhang N. Frontoparietal network abnormalities of gray matter volume and functional connectivity in patients with generalized anxiety disorder. Psychiatry Res Neuroimaging 2019; 286:24-30. [PMID: 30877889 DOI: 10.1016/j.pscychresns.2019.03.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 03/01/2019] [Accepted: 03/01/2019] [Indexed: 10/27/2022]
Abstract
We hypothesized that the frontoparietal region would exhibit differences in gray matter volume (GMV) and resting-state functional connectivity (rs-FC) in patients with generalized anxiety disorder (GAD) versus healthy controls (HCs). We also aimed to report on correlations between these neuroradiological findings and HAMA scores. We recruited 27 patients with GAD and 28 HCs, matched for gender, age and education. GMV was estimated using voxel-based morphometry (VBM). We found decreased GMV in the precentral gyrus (PrCG) and the superior frontal gyrus (SFG) in patients with GAD, which were used as regions of interest (ROI) for rs-FC analyses. We detected enhanced rs-FC in the inferior frontal gyrus (IFG) based on an increase in negative connections, and reduced rs-FC in the superior temporal gyrus (STG) based on a decrease in positive connections compared to HCs. The right PrCG may be a candidate biomarker in patients with GAD, as well as a potential stimulation target for improvement of anxiety symptoms. By combining GMV and rs-FC analyses, our findings help to understand the pathophysiology of GAD by combining GMV and rs-FC.
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Affiliation(s)
- Zijuan Ma
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Chun Wang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China; School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China
| | - Christina S Hines
- South Texas Veterans Healthcare System, University of Texas Health San Antonio, United States
| | - Xin Lu
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China; School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China
| | - Yun Wu
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China; School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China
| | - Huazhen Xu
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jinyang Li
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qiuyu Wang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China; School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China
| | - Manlong Pang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China; Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, Nanjing, Jiangsu, China.
| | - Ning Zhang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
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Molent C, Maggioni E, Cecchetto F, Garzitto M, Piccin S, Bonivento C, Maieron M, D'Agostini S, Balestrieri M, Perna G, Altamura AC, Brambilla P. Reduced cortical thickness and increased gyrification in generalized anxiety disorder: a 3 T MRI study. Psychol Med 2018; 48:2001-2010. [PMID: 29239286 DOI: 10.1017/s003329171700352x] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Although the study of the neuroanatomical correlates of generalized anxiety disorder (GAD) is gaining increasing interest, up to now the cortical anatomy of GAD patients has been poorly investigated and still no data on cortical gyrification are available. The aim of the present study is to quantitatively examine the cortical morphology in patients with GAD compared with healthy controls (HC) using magnetic resonance imaging (MRI). To the best of our knowledge, this is the first study analyzing the gyrification patterns in GAD. METHODS A total of 31 GAD patients and 31 HC underwent 3 T structural MRI. For each subject, cortical surface area (CSA), cortical thickness (CT), gray matter volume (GMV), and local gyrification index (LGI) were estimated in 19 regions of interest using the Freesurfer software. These parameters were then compared between the two groups using General Linear Model designs. RESULTS Compared with HC, GAD patients showed: (1) reduced CT in right caudal middle frontal gyrus (p < 0.05, Bonferroni corrected), (2) hyper-gyrification in right fusiform, inferior temporal, superior parietal and supramarginal gyri and in left supramarginal and superior frontal gyri (p < 0.05, Bonferroni corrected). No significant alterations in CSA and GMV were observed. CONCLUSIONS Our findings support the hypothesis of a neuroanatomical basis for GAD, highlighting a possible key role of the right hemisphere. The alterations of CT and gyrification in GAD suggest a neurodevelopmental origin of the disorder. Further studies on GAD are needed to understand the evolution of the cerebral morphology with age and during the clinical course of the illness.
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Affiliation(s)
- Cinzia Molent
- Unit of Psychiatry, Department of Medicine (DAME),University of Udine,Udine,Italy
| | - Eleonora Maggioni
- Department of Neurosciences and Mental Health,IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico,University of Milan,Milan,Italy
| | - Filippo Cecchetto
- Unit of Psychiatry, Department of Medicine (DAME),University of Udine,Udine,Italy
| | - Marco Garzitto
- Scientific Institute IRCCS 'Eugenio Medea',Polo FVG, San Vito al Tagliamento, Pordenone,Italy
| | - Sara Piccin
- Scientific Institute IRCCS 'Eugenio Medea',Polo FVG, San Vito al Tagliamento, Pordenone,Italy
| | - Carolina Bonivento
- Unit of Psychiatry, Department of Medicine (DAME),University of Udine,Udine,Italy
| | - Marta Maieron
- Department of Physics,Azienda Ospedaliero Universitaria 'S.Maria della Misericordia',Udine,Italy
| | - Serena D'Agostini
- Department of Neuroradiology,Azienda Ospedaliero Universitaria 'S.Maria della Misericordia',Udine,Italy
| | - Matteo Balestrieri
- Unit of Psychiatry, Department of Medicine (DAME),University of Udine,Udine,Italy
| | - Giampaolo Perna
- Department of Clinical Neurosciences,Villa San Benedetto Menni, Hermanas Hospitalarias,FoRiPsi, Albese con Cassano, Como,Italy
| | - A Carlo Altamura
- Department of Neurosciences and Mental Health,IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico,University of Milan,Milan,Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health,IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico,University of Milan,Milan,Italy
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Tanovic E, Gee DG, Joormann J. Intolerance of uncertainty: Neural and psychophysiological correlates of the perception of uncertainty as threatening. Clin Psychol Rev 2018; 60:87-99. [DOI: 10.1016/j.cpr.2018.01.001] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 01/05/2018] [Accepted: 01/05/2018] [Indexed: 12/20/2022]
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Abstract
Generalized anxiety disorder (GAD) is a prevalent and highly disabling mental health condition; however, there is still much to learn with regard to pertinent biomarkers, as well as diagnosis, made more difficult by the marked and common overlap of GAD with affective and anxiety disorders. Recently, intensive research efforts have focused on GAD, applying neuroimaging, genetic, and blood-based approaches toward discovery of pathogenetic and treatment-related biomarkers. In this paper, we review the large amount of available data, and we focus in particular on evidence from neuroimaging, genetic, and neurochemical measurements in GAD in order to better understand potential biomarkers involved in its etiology and treatment. Overall, the majority of these studies have produced results that are solitary findings, sometimes inconsistent and not clearly replicable. For these reasons, they have not yet been translated into clinical practice. Therefore, further research efforts are needed to distinguish GAD from other mental disorders and to provide new biological insights into its pathogenesis and treatment.
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Affiliation(s)
- Eduard Maron
- Faculty of Medicine, Department of Medicine, Center for Neuropsychopharmacology, Division of Brain Sciences, Imperial College London, London, UK ; Department of Psychiatry, University of Tartu, Tartu, Estonia ; North Estonia Medical Center, Department of Psychiatry, Tallinn, Estonia
| | - David Nutt
- Faculty of Medicine, Department of Medicine, Center for Neuropsychopharmacology, Division of Brain Sciences, Imperial College London, London, UK
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40
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Maron E, Lan CC, Nutt D. Imaging and Genetic Approaches to Inform Biomarkers for Anxiety Disorders, Obsessive-Compulsive Disorders, and PSTD. Curr Top Behav Neurosci 2018; 40:219-292. [PMID: 29796838 DOI: 10.1007/7854_2018_49] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Anxiety disorders are the most common mental health problem in the world and also claim the highest health care cost among various neuropsychiatric disorders. Anxiety disorders have a chronic and recurrent course and cause significantly negative impacts on patients' social, personal, and occupational functioning as well as quality of life. Despite their high prevalence rates, anxiety disorders have often been under-diagnosed or misdiagnosed, and consequently under-treated. Even with the correct diagnosis, anxiety disorders are known to be difficult to treat successfully. In order to implement better strategies in diagnosis, prognosis, treatment decision, and early prevention for anxiety disorders, tremendous efforts have been put into studies using genetic and neuroimaging techniques to advance our understandings of the underlying biological mechanisms. In addition to anxiety disorders including panic disorder, generalised anxiety disorder (GAD), specific phobias, social anxiety disorders (SAD), due to overlapping symptom dimensions, obsessive-compulsive disorder (OCD), and post-traumatic stress disorder (PTSD) (which were removed from the anxiety disorder category in DSM-5 to become separate categories) are also included for review of relevant genetic and neuroimaging findings. Although the number of genetic or neuroimaging studies focusing on anxiety disorders is relatively small compare to other psychiatric disorders such as psychotic disorders or mood disorders, various structural abnormalities in the grey or white matter, functional alterations of activity during resting-state or task conditions, molecular changes of neurotransmitter receptors or transporters, and genetic associations have all been reported. With continuing effort, further genetic and neuroimaging research may potentially lead to clinically useful biomarkers for the prevention, diagnosis, and management of these disorders.
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Affiliation(s)
- Eduard Maron
- Neuropsychopharmacology Unit, Centre for Academic Psychiatry, Division of Brain Sciences, Imperial College London, London, UK.
- Department of Psychiatry, University of Tartu, Tartu, Estonia.
- Department of Psychiatry, North Estonia Medical Centre, Tallinn, Estonia.
| | - Chen-Chia Lan
- Neuropsychopharmacology Unit, Centre for Academic Psychiatry, Division of Brain Sciences, Imperial College London, London, UK
- Department of Psychiatry, Taichung Veterans General Hospital, Taichung, Taiwan
| | - David Nutt
- Neuropsychopharmacology Unit, Centre for Academic Psychiatry, Division of Brain Sciences, Imperial College London, London, UK
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41
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Developmental relations between amygdala volume and anxiety traits: Effects of informant, sex, and age. Dev Psychopathol 2017; 30:1503-1515. [DOI: 10.1017/s0954579417001626] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
AbstractAlthough substantial human and animal evidence suggests a role for the amygdala in anxiety, literature linking amygdala volume to anxiety symptomatology is inconclusive, with studies finding positive, negative, and null results. Clarifying this brain–behavior relation in middle to late childhood is especially important, as this is a time both of amygdala structural maturation and the emergence of many anxiety disorders. The goal of the current study was to clarify inconsistent findings in previous literature by identifying factors moderating the relation between amygdala volume and anxiety traits in a large sample of typically developing children aged 6–13 years (N = 72). In particular, we investigated the moderating effects of informant (parent vs. child), age, and sex. We found that children's reports (i.e., self-reports) were related to amygdala volume; children who reported higher anxiety levels had smaller amygdalae. This negative relation between amygdala volume and anxiety weakened with age. There was also an independent effect of sex, such that relations were stronger in males than in females. These results indicate the importance of considering sample and informant characteristics when charting the neurobiological mechanisms underlying developmental anxiety.
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42
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Karim HT, Tudorascu DL, Butters MA, Walker S, Aizenstein HJ, Andreescu C. In the grip of worry: cerebral blood flow changes during worry induction and reappraisal in late-life generalized anxiety disorder. Transl Psychiatry 2017; 7:e1204. [PMID: 28809854 PMCID: PMC5611745 DOI: 10.1038/tp.2017.180] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Revised: 05/16/2017] [Accepted: 06/07/2017] [Indexed: 12/29/2022] Open
Abstract
Severe worry includes a complex blend of maladaptive affective and cognitive processes. Contrary to other forms of anxiety, there is no consensus in the field regarding the neural basis of worry. To date, no study has looked at neural patterns associated specifically with in-scanner induction and reappraisal of worry. In this study, we attempt to describe distinct components of the 'neural phenomenology' of worry: induction, maintenance, severity and reappraisal, by using a personalized, in-scanner worry script. Twenty older, non-anxious participants and twenty late-life generalized anxiety disorder (GAD) participants were included. Whole-brain axial pseudo-continuous arterial spin-labeling scans were collected. We used a voxel-wise two-way ANOVA to test the group-by-block interaction. Worry induction was associated with greater cerebral blood flow (CBF) in the visual cortex, thalamus, caudate and medial frontal cortex compared with the rest. Reappraisal was associated with greater CBF in similar regions, whereas the orbital frontal gyrus showed lower CBF relative to rest. Relative to non-anxious participants, GAD had greater CBF in multiple regions during worry induction (visual and parietal cortex, middle and superior frontal) and lower CBF during reappraisal in the supplemental motor area, middle cingulate gyrus, insula and putamen. Except for the thalamus, there was no change in CBF throughout the five blocks of worry induction and reappraisal. Severe worry is distinctly associated with increased CBF in several neocortical regulatory regions. We present new data supporting the view of worry as a complex process, engaging multiple regions in the initiation, maintenance and reappraisal of worry.
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Affiliation(s)
- H T Karim
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - D L Tudorascu
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA,Department of Biostatistics, Graduate School of Public Health, Pittsburgh, PA, USA
| | - M A Butters
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - S Walker
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - H J Aizenstein
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - C Andreescu
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA,Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara Street, Pittsburgh, PA 15213, USA. E-mail:
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43
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Zhao K, Liu H, Yan R, Hua L, Chen Y, Shi J, Lu Q, Yao Z. Cortical thickness and subcortical structure volume abnormalities in patients with major depression with and without anxious symptoms. Brain Behav 2017; 7:e00754. [PMID: 28828215 PMCID: PMC5561315 DOI: 10.1002/brb3.754] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Revised: 03/27/2017] [Accepted: 05/14/2017] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Anxious depression is one of the common subtypes of major depressive disorder (MDD). Clinically, patients with anxious depression exhibit more severe depressive symptoms than patients with nonanxious depression. The aim of the present study was to explore the common and differing cortical and subcortical structural changes between patients with anxious and nonanxious depression. METHODS Patients were placed into one of three groups: the anxious depression group (MDD patients with high levels of anxiety symptoms, n = 23), the nonanxious depression group (n = 22), and healthy controls (n = 43) that were matched for age, sex, and education level. All participants underwent T1-weighted MRI. The Freesurfer, which uses a set of automated sequences to analyze the abnormal changes of cortical thickness, cortical and subcortical structures, was used to process the T1 images. RESULTS Compared to controls, MDD patients showed thinner cortical thickness in the left inferior temporal, the right superior temporal, and the right parsorbitalis, and a smaller volume of the left hippocampus. Compared to nonanxious depression, anxious depressive patients showed a cortical thinning of the left superior frontal and right superior temporal, as well as the right lingual, and significantly increased subcortical volume of the bilateral caudate nuclei. Correlation analysis showed that the volumes of the bilateral caudate nuclei were directly proportional to the anxiety/somatization factor score. CONCLUSIONS These findings suggest that smaller hippocampal volume and atrophic prefrontal and temporal cortices might be a common pattern of cortical and subcortical alterations in patients with depression and/or anxiety. However, the change in the caudate nucleus volume may be indicative of anxious depression and may potentially be used to distinguish anxious from nonanxious depression.
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Affiliation(s)
- Ke Zhao
- Department of Psychiatry Affiliated Nanjing Brain Hospital of Nanjing Medical University Nanjing China
| | - Haiyan Liu
- Department of Psychiatry Affiliated Nanjing Brain Hospital of Nanjing Medical University Nanjing China
| | - Rui Yan
- Department of Psychiatry Affiliated Nanjing Brain Hospital of Nanjing Medical University Nanjing China
| | - Lingling Hua
- Department of Psychiatry Affiliated Nanjing Brain Hospital of Nanjing Medical University Nanjing China
| | - Yu Chen
- Department of Psychiatry Affiliated Nanjing Brain Hospital of Nanjing Medical University Nanjing China
| | - Jiabo Shi
- Department of Psychiatry Affiliated Nanjing Brain Hospital of Nanjing Medical University Nanjing China
| | - Qing Lu
- Research Center of Learning Science Southeast University Nanjing China
| | - Zhijian Yao
- Department of Psychiatry Affiliated Nanjing Brain Hospital of Nanjing Medical University Nanjing China.,Medical School Nanjing University Nanjing China
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Kim MJ, Shin J, Taylor JM, Mattek AM, Chavez SJ, Whalen PJ. Intolerance of uncertainty predicts increased striatal volume. ACTA ACUST UNITED AC 2017; 17:895-899. [PMID: 28517947 DOI: 10.1037/emo0000331] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Oversensitivity to uncertain future threat is usefully conceptualized as intolerance of uncertainty (IU). Neuroimaging studies of IU to date have largely focused on its relationship with brain function, but few studies have documented the association between IU and the quantitative properties of brain structure. Here, we examined potential gray and white-matter brain structural correlates of IU from 61 healthy participants. Voxel-based morphometric analysis highlighted a robust positive correlation between IU and striatal volume, particularly the putamen. Conversely, tract-based spatial statistical analysis showed no evidence for a relationship between IU and the structural integrity of white-matter fiber tracts. Current results converge upon findings from individuals with anxiety disorders such as obsessive-compulsive disorder (OCD) or generalized anxiety disorder (GAD), where abnormally increased IU and striatal volume are consistently reported. They also converge with neurobehavioral data implicating the putamen in predictive coding. Most notably, the relationship between IU and striatal volume is observed at a preclinical level, suggesting that the volumetric properties of the striatum reflect the processing of uncertainty per se as it relates to this dimensional personality characteristic. Such a relationship could then potentially contribute to the onset of OCD or GAD, rather than being unique to their pathophysiology. (PsycINFO Database Record
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Affiliation(s)
- M Justin Kim
- Department of Psychological and Brain Sciences, Dartmouth College
| | - Jin Shin
- Department of Psychological and Brain Sciences, Dartmouth College
| | - James M Taylor
- Department of Psychological and Brain Sciences, Dartmouth College
| | - Alison M Mattek
- Department of Psychological and Brain Sciences, Dartmouth College
| | | | - Paul J Whalen
- Department of Psychological and Brain Sciences, Dartmouth College
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Hilbert K, Lueken U, Muehlhan M, Beesdo-Baum K. Separating generalized anxiety disorder from major depression using clinical, hormonal, and structural MRI data: A multimodal machine learning study. Brain Behav 2017; 7:e00633. [PMID: 28293473 PMCID: PMC5346520 DOI: 10.1002/brb3.633] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 11/11/2016] [Accepted: 12/05/2016] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Generalized anxiety disorder (GAD) is difficult to recognize and hard to separate from major depression (MD) in clinical settings. Biomarkers might support diagnostic decisions. This study used machine learning on multimodal biobehavioral data from a sample of GAD, MD and healthy subjects to differentiate subjects with a disorder from healthy subjects (case-classification) and to differentiate GAD from MD (disorder-classification). METHODS Subjects with GAD (n = 19), MD without GAD (n = 14), and healthy comparison subjects (n = 24) were included. The sample was matched regarding age, sex, handedness and education and free of psychopharmacological medication. Binary support vector machines were used within a nested leave-one-out cross-validation framework. Clinical questionnaires, cortisol release, gray matter (GM), and white matter (WM) volumes were used as input data separately and in combination. RESULTS Questionnaire data were well-suited for case-classification but not disorder-classification (accuracies: 96.40%, p < .001; 56.58%, p > .22). The opposite pattern was found for imaging data (case-classification GM/WM: 58.71%, p = .09/43.18%, p > .66; disorder-classification GM/WM: 68.05%, p = .034/58.27%, p > .15) and for cortisol data (38.02%, p = .84; 74.60%, p = .009). All data combined achieved 90.10% accuracy (p < .001) for case-classification and 67.46% accuracy (p = .0268) for disorder-classification. CONCLUSIONS In line with previous evidence, classification of GAD was difficult using clinical questionnaire data alone. Particularly cortisol and GM volume data were able to provide incremental value for the classification of GAD. Findings suggest that neurobiological biomarkers are a useful target for further research to delineate their potential contribution to diagnostic processes.
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Affiliation(s)
- Kevin Hilbert
- Institute of Clinical Psychology and Psychotherapy Technische Universität Dresden Dresden Germany; Behavioral Epidemiology Technische Universität Dresden Dresden Germany; Department of Psychology Neuroimaging CenterTechnische Universität Dresden Dresden Germany
| | - Ulrike Lueken
- Institute of Clinical Psychology and Psychotherapy Technische Universität Dresden Dresden Germany; Department of Psychology Neuroimaging Center Technische Universität Dresden Dresden Germany; Department of Psychiatry, Psychosomatics, and Psychotherapy University Hospital Wuerzburg Wuerzburg Germany
| | - Markus Muehlhan
- Institute of Clinical Psychology and Psychotherapy Technische Universität Dresden Dresden Germany; Department of Psychology Neuroimaging Center Technische Universität Dresden Dresden Germany
| | - Katja Beesdo-Baum
- Institute of Clinical Psychology and Psychotherapy Technische Universität Dresden Dresden Germany; Behavioral Epidemiology Technische Universität Dresden Dresden Germany; Department of Psychology Neuroimaging CenterTechnische Universität Dresden Dresden Germany
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Karim H, Tudorascu DL, Aizenstein H, Walker S, Good R, Andreescu C. Emotion Reactivity and Cerebrovascular Burden in Late-Life GAD: A Neuroimaging Study. Am J Geriatr Psychiatry 2016; 24:1040-1050. [PMID: 27633897 PMCID: PMC5914171 DOI: 10.1016/j.jagp.2016.07.015] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Revised: 07/15/2016] [Accepted: 07/19/2016] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Generalized anxiety disorder (GAD) in older adults is associated with persistent deficits in emotion reactivity (ER) and regulation, yet the neural basis of these deficits has not been explored. This study focuses on the neural basis of ER deficits in late-life GAD and the association with cerebrovascular burden. METHODS Twenty elderly nonanxious participants and 17 late-life GAD participants were included. The faces-shapes functional magnetic resonance imaging task was used to assess ER; the Hamilton Anxiety Rating Scale and the Penn State Worry Questionnaire to measure global anxiety and worry, respectively; linear regression models to examine the association between ER and global anxiety severity and between ER and worry severity; and mediation analysis to explore the effect of ER on the relationship between global anxiety/worry severity and cerebrovascular burden. RESULTS A positive association was found between ER and global anxiety in the left parahippocampus, left and right precuneus, and right superior occipital gyrus. A negative association was found between ER and worry severity in the left and right precuneus. The association between cerebrovascular burden and anxiety/worry severity was indirectly mediated by increased ER in limbic and paralimbic areas and by decreased ER in prefrontal regulatory regions. CONCLUSION These results indicate that ER is associated with different neural activation patterns for worry and global anxiety and that ER-related functional connectivity indirectly mediates the relationship between cerebrovascular burden and late-life GAD. This latter result supports a yet-unexplored cerebrovascular pathway involved in the pathophysiology of late-life anxiety.
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Affiliation(s)
- Helmet Karim
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
| | - Dana Larisa Tudorascu
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA; Biostatistics Department, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Howard Aizenstein
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Sarah Walker
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Rachel Good
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Carmen Andreescu
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
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Wang W, Qian S, Liu K, Li B, Li M, Xin K, Sun G. Reduced white matter integrity and its correlation with clinical symptom in first-episode, treatment-naive generalized anxiety disorder. Behav Brain Res 2016; 314:159-64. [DOI: 10.1016/j.bbr.2016.08.017] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Revised: 08/05/2016] [Accepted: 08/07/2016] [Indexed: 12/27/2022]
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