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Wang Z, He D, Yang L, Wang P, Xiao J, Zou Z, Min W, He Y, Yuan C, Zhu H, Robinson OJ. Similarities and differences between post-traumatic stress disorder and major depressive disorder: Evidence from task-evoked functional magnetic resonance imaging meta-analysis. J Affect Disord 2024; 361:712-719. [PMID: 38942203 DOI: 10.1016/j.jad.2024.06.095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 06/16/2024] [Accepted: 06/25/2024] [Indexed: 06/30/2024]
Abstract
BACKGROUND Post-traumatic stress disorder (PTSD) and major depressive disorder (MDD) are psychiatric disorders that can present with overlapping symptoms and shared risk factors. However, the extent to which these disorders share common underlying neuropathological mechanisms remains unclear. To investigate the similarities and differences in task-evoked brain activation patterns between patients with PTSD and MDD. METHODS A coordinate-based meta-analysis was conducted across 35 PTSD studies (564 patients and 543 healthy controls) and 125 MDD studies (4049 patients and 4170 healthy controls) using anisotropic effect-size signed differential mapping software. RESULTS Both PTSD and MDD patients exhibited increased neural activation in the bilateral inferior frontal gyrus. However, PTSD patients showed increased neural activation in the right insula, left supplementary motor area extending to median cingulate gyrus and superior frontal gyrus (SFG), and left fusiform gyrus, and decreased neural activation in the right posterior cingulate gyrus, right middle temporal gyrus, right paracentral lobule, and right inferior parietal gyrus relative to MDD patients. CONCLUSION Our meta-analysis suggests that PTSD and MDD share some similar patterns of brain activation, but also have distinct neural signatures. These findings contribute to our understanding of the potential neuropathology underlying these disorders and may inform the development of more targeted and effective treatment and intervention strategies. Moreover, these results may provide useful neuroimaging targets for the differential diagnosis of MDD and PTSD.
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Affiliation(s)
- Zuxing Wang
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Danmei He
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu 610041, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Med-X Center for Informatics, Sichuan University, Chengdu 610041, Sichuan, China
| | - Lin Yang
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu 610041, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Med-X Center for Informatics, Sichuan University, Chengdu 610041, Sichuan, China
| | - Peijia Wang
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Jun Xiao
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Zhili Zou
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Wenjiao Min
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Ying He
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Cui Yuan
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China
| | - Hongru Zhu
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu 610041, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Med-X Center for Informatics, Sichuan University, Chengdu 610041, Sichuan, China.
| | - Oliver J Robinson
- Institute of Cognitive Neuroscience, University College London, London, UK; Clinical, Educational and Health Psychology, University College London, London, UK
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Breuer F, Meyhöfer I, Lencer R, Sprenger A, Roesmann K, Schag K, Dannlowski U, Leehr EJ. Aberrant inhibitory control as a transdiagnostic dimension of mental disorders - A meta-analysis of the antisaccade task in different psychiatric populations. Neurosci Biobehav Rev 2024; 165:105840. [PMID: 39103067 DOI: 10.1016/j.neubiorev.2024.105840] [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: 03/19/2024] [Revised: 06/29/2024] [Accepted: 08/01/2024] [Indexed: 08/07/2024]
Abstract
This meta-analysis examined inhibitory control performance in the antisaccade task across mental disorders. Following PRISMA guidelines, we analyzed data from k = 146 studies (n = 13,807 participants) on antisaccade performance. Effect sizes were estimated using random-effects models and restricted maximum-likelihood estimation, with robustness tests for study heterogeneity and publication bias. Most disorders displayed elevated error rates, with schizophrenia showing the greatest impairments, followed by autism spectrum disorder, bipolar disorder and attention deficit hyperactivity disorder. Small to medium impairments were also found in eating disorders, major depressive disorder, obsessive-compulsive disorder and substance use disorder. Results were robust against corrections for publication bias and largely unaffected by confounding variables. Prolonged latencies were observed in schizophrenia, attention deficit hyperactivity disorder, bipolar disorder and obsessive compulsive disorder, with smaller and less robust effect sizes. Results indicate inhibitory control deficits in the antisaccade task across mental disorders, especially evident for error rates. While present in most disorders, results imply varying degrees of impairments, ranging from small to large in effect sizes, with largest impairments in schizophrenia.
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Affiliation(s)
- Fabian Breuer
- Institute for Translational Psychiatry, University of Münster, Germany
| | - Inga Meyhöfer
- Institute for Translational Psychiatry, University of Münster, Germany; Otto-Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany
| | - Rebekka Lencer
- Institute for Translational Psychiatry, University of Münster, Germany; Otto-Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany; Department of Psychiatry and Psychotherapy, University of Lübeck, Germany
| | - Andreas Sprenger
- Department of Psychiatry and Psychotherapy, University of Lübeck, Germany; Institute of Psychology II, University of Lübeck, Germany
| | - Kati Roesmann
- Institute for Psychology, Unit for Clinical Psychology and Psychotherapy in Childhood and Adolescence. University of Osnabrück, Germany; Institute for Biomagnetism and Biosignalanalysis, University of Münster, Germany
| | - Kathrin Schag
- Medical University Hospital Tübingen, Department of Psychosomatic Medicine and Psychotherapy, Tübingen, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Germany
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3
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Simei JLQ, de Souza JDR, Lisboa JR, Guimarães FS, Crippa JADS. Cannabidiol in anxiety disorders: Current and future perspectives. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2024; 177:205-234. [PMID: 39029985 DOI: 10.1016/bs.irn.2024.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/21/2024]
Abstract
Anxiety disorders are highly prevalent psychiatric disorders, characterized by a chronic course and often accompanied by comorbid symptoms that impair functionality and decrease quality of life. Despite advances in basic and clinical research in our understanding of these disorders, currently available pharmacological options are associated with limited clinical benefits and side effects that frequently lead to treatment discontinuation. Importantly, a significant number of patients do not achieve remission and live with lifelong residual symptoms that limit daily functioning. Since the 1970s, basic and clinical research on cannabidiol (CBD), a non-psychotomimetic compound found in the Cannabis sativa plant, has indicated relevant anxiolytic effects, garnering attention for its therapeutic potential as an option in anxiety disorder treatment. This chapter aims to review the history of these studies on the anxiolytic effects of CBD within the current understanding of anxiety disorders. It highlights the most compelling current evidence supporting its anxiolytic effects and explores future perspectives for its clinical use in anxiety disorders.
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Affiliation(s)
- João Luís Queiroz Simei
- Department of Neuroscience and Behavior Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - José Diogo Ribeiro de Souza
- Department of Neuroscience and Behavior Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil.
| | - João Roberto Lisboa
- Department of Neuroscience and Behavior Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - Francisco Silveira Guimarães
- National Institute for Science and Technology, Translational Medicine, Brazil; Department of Pharmacology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - José Alexandre de Souza Crippa
- Department of Neuroscience and Behavior Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil; National Institute for Science and Technology, Translational Medicine, Brazil
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Kalisch R, Russo SJ, Müller MB. Neurobiology and systems biology of stress resilience. Physiol Rev 2024; 104:1205-1263. [PMID: 38483288 DOI: 10.1152/physrev.00042.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/06/2024] [Accepted: 03/12/2024] [Indexed: 05/16/2024] Open
Abstract
Stress resilience is the phenomenon that some people maintain their mental health despite exposure to adversity or show only temporary impairments followed by quick recovery. Resilience research attempts to unravel the factors and mechanisms that make resilience possible and to harness its insights for the development of preventative interventions in individuals at risk for acquiring stress-related dysfunctions. Biological resilience research has been lagging behind the psychological and social sciences but has seen a massive surge in recent years. At the same time, progress in this field has been hampered by methodological challenges related to finding suitable operationalizations and study designs, replicating findings, and modeling resilience in animals. We embed a review of behavioral, neuroimaging, neurobiological, and systems biological findings in adults in a critical methods discussion. We find preliminary evidence that hippocampus-based pattern separation and prefrontal-based cognitive control functions protect against the development of pathological fears in the aftermath of singular, event-type stressors [as found in fear-related disorders, including simpler forms of posttraumatic stress disorder (PTSD)] by facilitating the perception of safety. Reward system-based pursuit and savoring of positive reinforcers appear to protect against the development of more generalized dysfunctions of the anxious-depressive spectrum resulting from more severe or longer-lasting stressors (as in depression, generalized or comorbid anxiety, or severe PTSD). Links between preserved functioning of these neural systems under stress and neuroplasticity, immunoregulation, gut microbiome composition, and integrity of the gut barrier and the blood-brain barrier are beginning to emerge. On this basis, avenues for biological interventions are pointed out.
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Affiliation(s)
- Raffael Kalisch
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Mainz, Germany
| | - Scott J Russo
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States
- Brain and Body Research Center, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Marianne B Müller
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Translational Psychiatry, Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Medical Center, Mainz, Germany
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Huang S, Wang J, Zhang Y, Qiu Y, Wang H, Yu X, Wang Z, Lv X. Co-occurrence of depressive and anxious symptoms and their influence on self-rated health: a national representative survey among Chinese older adults. Aging Ment Health 2024:1-10. [PMID: 38745442 DOI: 10.1080/13607863.2024.2348613] [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: 09/22/2023] [Accepted: 04/23/2024] [Indexed: 05/16/2024]
Abstract
OBJECTIVES The prevalence of the co-occurrence of depressive and anxious symptoms (CO) and their influence on perceived overall health were not clear in community dwelling Chinese older adults. The aims of the study were to investigate the prevalence of CO and to explore its influence on self-rated health (SRH). METHOD This study included 12301 individuals aged ≥65 years from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), a nationally representative survey of older adults in mainland China. Participants received face-to-face interviews and assessments of depressive symptoms and anxious symptoms via 10-item of the Center for Epidemiologic Studies Depression Scale (CES-D-10) and 7-item Generalized Anxiety Disorder Questionnaire (GAD-7), respectively. SRH was measured by self-reported. A logistic regression model was used to examine the association between CO and SRH after adjusting for confounding variables. RESULTS The average age was 83.4 (SD: 11.0) years and there were 6576 (53.5%) females. The age- and sex-standardized prevalence of depressive symptoms only (DSO) was 38.6%, anxious symptoms only (ASO) was 1.5%, and CO was 10.8%. Compared with those without depressive and anxious symptoms, the older adults with DSO or ASO were more likely to have significant influence on SRH. And particularly, CO was likely to produce the greatest decrement in the level of SRH. CONCLUSION CO was not rare in Chinese older adults nationwide. The older adults having CO had increased risk for lower level of SRH than having DSO or ASO. More attention should be given to CO among the older adults.
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Affiliation(s)
- Sicheng Huang
- NHC Key Laboratory of Mental Health, Peking University Institute of Mental Health Sixth Hospital, Beijing, China
| | - Jing Wang
- NHC Key Laboratory of Mental Health, Peking University Institute of Mental Health Sixth Hospital, Beijing, China
| | - Yunjing Zhang
- School of Public Health, Peking University, Beijing, China
| | - Yujia Qiu
- NHC Key Laboratory of Mental Health, Peking University Institute of Mental Health Sixth Hospital, Beijing, China
| | - Huali Wang
- NHC Key Laboratory of Mental Health, Peking University Institute of Mental Health Sixth Hospital, Beijing, China
| | - Xin Yu
- NHC Key Laboratory of Mental Health, Peking University Institute of Mental Health Sixth Hospital, Beijing, China
| | - Zhijiang Wang
- NHC Key Laboratory of Mental Health, Peking University Institute of Mental Health Sixth Hospital, Beijing, China
| | - Xiaozhen Lv
- NHC Key Laboratory of Mental Health, Peking University Institute of Mental Health Sixth Hospital, Beijing, China
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Gewirtz-Meydan A. Traumatized Sexuality: Understanding and Predicting Profiles of Sexual Behaviors Using Childhood Abuse and Trauma Measures. CHILD MALTREATMENT 2024; 29:350-363. [PMID: 36583251 DOI: 10.1177/10775595221148425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
In the current study we sought to identify sexual behavior profiles and examine the levels of childhood abuse history and trauma measures in each profile. The study was conducted among a large non-clinical sample of men and women (n = 806). Latent profile analysis was employed to identify distinct profiles of sexual behaviors and then childhood abuse, posttraumatic stress disorder (PTSD), depression, and anxiety, and motives for engaging in sex were assessed in each profile. Four distinct profiles of sexual behavior were identified: hyposexual individuals, hypersexual porn users, porn users, and within usual ranges (WURs). Hypersexual porn users had significantly more childhood trauma (emotional, physical, and sexual) than WURs, significantly greater PTSD symptom than WURs and hyposexual individuals, and significantly greater anxiety and depression as compared with all other groups. The hyposexual individuals had significantly lower scores on all motives for engaging in sex than did porn users or hypersexual porn users. Hypersexual porn users and porn users reported coping and peer-pressure as motives for engaging in sex more than did WURs or hyposexual individuals. Clinicians working with survivors of childhood abuse should consider directly targeting these different maladaptive sexual behaviors by addressing PTSD symptoms, affective disorders, and motives for engaging in sex.
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Affiliation(s)
- Ateret Gewirtz-Meydan
- School of Social Work, Faculty of Social Welfare & Health Sciences, University of Haifa, Haifa, Israel
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Grot S, Smine S, Potvin S, Darcey M, Pavlov V, Genon S, Nguyen H, Orban P. Label-based meta-analysis of functional brain dysconnectivity across mood and psychotic disorders. Prog Neuropsychopharmacol Biol Psychiatry 2024; 131:110950. [PMID: 38266867 DOI: 10.1016/j.pnpbp.2024.110950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 11/11/2023] [Accepted: 01/17/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND Resting-state functional magnetic resonance imaging (rsfMRI) studies have revealed patterns of functional brain dysconnectivity in psychiatric disorders such as major depression disorder (MDD), bipolar disorder (BD) and schizophrenia (SZ). Although these disorders have been mostly studied in isolation, there is mounting evidence of shared neurobiological alterations across them. METHODS To uncover the nature of the relatedness between these psychiatric disorders, we conducted an innovative meta-analysis of dysconnectivity findings reported separately in MDD, BD and SZ. Rather than relying on a classical voxel level coordinate-based approach, our procedure extracted relevant neuroanatomical labels from text data and examined findings at the whole brain network level. Data were drawn from 428 rsfMRI studies investigating MDD (158 studies, 7429 patients/7414 controls), BD (81 studies, 3330 patients/4096 patients) and/or SZ (223 studies, 11,168 patients/11,754 controls). Permutation testing revealed commonalities and differences in hypoconnectivity and hyperconnectivity patterns across disorders. RESULTS Hypoconnectivity and hyperconnectivity patterns of higher-order cognitive (default-mode, fronto-parietal, cingulo-opercular) networks were similarly observed across the three disorders. By contrast, dysconnectivity of lower-order (somatomotor, visual, auditory) networks in some cases differed between disorders, notably dissociating SZ from BD and MDD. CONCLUSIONS Findings suggest that functional brain dysconnectivity of higher-order cognitive networks is largely transdiagnostic in nature while that of lower-order networks may best discriminate between mood and psychotic disorders, thus emphasizing the relevance of motor and sensory networks to psychiatric neuroscience.
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Affiliation(s)
- Stéphanie Grot
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
| | - Salima Smine
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Stéphane Potvin
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
| | - Maëliss Darcey
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Vilena Pavlov
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Sarah Genon
- Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Hien Nguyen
- School of Mathematics and Physics, University of Queensland, St. Lucia, Queensland, Australia; Department of Mathematics and Statistics, Latrobe University, Melbourne, Victoria, Australia
| | - Pierre Orban
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada.
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Zhou Z, Gao Y, Bao W, Liang K, Cao L, Tang M, Li H, Hu X, Zhang L, Sun H, Roberts N, Gong Q, Huang X. Distinctive intrinsic functional connectivity alterations of anterior cingulate cortex subdivisions in major depressive disorder: A systematic review and meta-analysis. Neurosci Biobehav Rev 2024; 159:105583. [PMID: 38365137 DOI: 10.1016/j.neubiorev.2024.105583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 01/22/2024] [Accepted: 02/11/2024] [Indexed: 02/18/2024]
Abstract
Evidence of whether the intrinsic functional connectivity of anterior cingulate cortex (ACC) and its subregions is altered in major depressive disorder (MDD) remains inconclusive. A systematic review and meta-analysis were therefore performed on the whole-brain resting-state functional connectivity (rsFC) studies using the ACC and its subregions as seed regions in MDD, in order to draw more reliable conclusions. Forty-four ACC-based rsFC studies were included, comprising 25 subgenual ACC-based studies, 11 pregenual ACC-based studies, and 17 dorsal ACC-based studies. Specific alterations of rsFC were identified for each ACC subregion in patients with MDD, with altered rsFC of subgenual ACC in emotion-related brain regions, of pregenual ACC in sensorimotor-related regions, and of dorsal ACC in cognition-related regions. Furthermore, meta-regression analysis revealed a significant negative correlation between the pgACC-caudate hypoconnectivity and percentage of female patients in the study cohort. This meta-analysis provides robust evidence of altered intrinsic functional connectivity of the ACC subregions in MDD, which may hold relevance to understanding the origin of, and treating, the emotional, sensorimotor and cognitive dysfunctions that are often observed in these patients.
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Affiliation(s)
- Zilin Zhou
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Yingxue Gao
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Weijie Bao
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Kaili Liang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Lingxiao Cao
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Mengyue Tang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Hailong Li
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Xinyue Hu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Lianqing Zhang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Huaiqiang Sun
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Science, Chengdu, China
| | - Neil Roberts
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Centre for Reproductive Health (CRH), School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - Qiyong Gong
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Science, Chengdu, China; The Xiaman Key Lab of psychoradiology and neuromodulation, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China
| | - Xiaoqi Huang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Science, Chengdu, China; The Xiaman Key Lab of psychoradiology and neuromodulation, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China.
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He M, Mao Y, Qiu J. Trait anxiety and corresponding neuromarkers predict internet addiction: A longitudinal study. J Behav Addict 2024; 13:177-190. [PMID: 38451271 PMCID: PMC10988413 DOI: 10.1556/2006.2023.00086] [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: 07/17/2023] [Revised: 11/09/2023] [Accepted: 12/22/2023] [Indexed: 03/08/2024] Open
Abstract
Background and Aims The high prevalence of internet addiction (IA) has become a worldwide problem that profoundly affects people's mental health and executive function. Empirical studies have suggested trait anxiety (TA) as one of the most robust predictors of addictive behaviors. The present study investigated the neural and socio-psychological mechanisms underlying the association between TA and IA. Methods Firstly, we tested the correlation between TA and IA. Then we investigated the longitudinal influence of TA on IA using a linear mixed effect (LME) model. Secondly, connectome-based predictive modeling (CPM) was employed to explore neuromarkers of TA, and we tested whether the identified neuromarkers of TA can predict IA. Lastly, stressful life events and default mode network (DMN) were considered as mediating variables to explore the relationship between TA and IA. Findings A significant positive correlation between TA and IA was found and the high TA group demonstrated higher IA across time. CPM results revealed that the functional connectivity of cognitive control and emotion-regulation circuits and DMN were significantly correlated with TA. Furthermore, a significant association was found between the neuromarkers of TA and IA. Notably, the CPM results were all validated in an independent sample. The results of mediation demonstrated that stressful life events and correlated functional connectivity mediated the association between TA and IA. Conclusions Findings of the present study facilitate a deeper understanding of the neural and socio-psychological mechanisms linking TA and IA and provide new directions for developing neural and psychological interventions.
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Affiliation(s)
- Miao He
- Key Laboratory of Cognition and Personality of the Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Yu Mao
- College of Computer and Information Science, College of Software, Southwest University, Chongqing, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality of the Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
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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; 29:767-781. [PMID: 38238548 PMCID: PMC11153039 DOI: 10.1038/s41380-023-02369-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [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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11
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Chaudhary S, Hu S, Hu K, Dominguez JC, Chao HH, Li CSR. Sex differences in the effects of trait anxiety and age on resting-state functional connectivities of the amygdala. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2023; 14:100646. [PMID: 38105798 PMCID: PMC10723810 DOI: 10.1016/j.jadr.2023.100646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023] Open
Abstract
Background Numerous studies characterized how resting-state functional connectivities (rsFCs) of the amygdala were disrupted in emotional disorders and varied with emotional traits, including anxiety. With trait anxiety known to diminish with age, a critical issue concerns disambiguating the effects of age and anxiety on amygdala rsFCs in studying the neural bases of individual differences in anxiety. Methods Two-hundred adults (83 women) 19-85 years of age underwent fMRI and assessment for trait anxiety. Amygdala rsFC correlates were identified using multiple regression with age and anxiety in the same model for all and separately in men and women. The rsFC correlates were examined for age-anxiety interaction. Results Anxiety was negatively correlated with amygdala-temporooccipital gyri rsFC in all and in men alone. In women, amgydala rsFC with the thalamus/pallidum, angular/supramarginal gyri, inferior temporal gyrus, and posterior insula correlated positively and rsFC with calcarine cortex and caudate correlated negatively with anxiety. We also observed sex differences in age correlation of amgydala-posterior cingulate cortex/precuneus and -insula/temporoparietal rsFCs, with stronger associations in women. In women alone, anxiety and age interacted to determine amygdala rsFC with the thalamus/pallidum, calcarine cortex, and caudate, with older age associated with stronger correlation between anxiety and the rsFCs. Limitations The findings need to be validated in an independent sample and further explored using task-based data. Conclusion Highlighting anxiety- and age- specific as well as interacting correlates of amygdala rsFCs and sex differences in the correlates, the findings may shed light on the neural markers of anxiety.
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Affiliation(s)
- Shefali Chaudhary
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Sien Hu
- Department of Psychology, State University of New York at Oswego, Oswego, NY 13126, USA
| | - Kesong Hu
- Department of Psychology, University of Arkansas, Little Rock, AR 72204, USA
| | | | - Herta H. Chao
- VA Connecticut Healthcare System, West Haven, CT 06516, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Chiang-Shan R. Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06520, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06520, USA
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12
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Dunlop BW, Cha J, Choi KS, Nemeroff CB, Craighead WE, Mayberg HS. Functional connectivity of salience and affective networks among remitted depressed patients predicts episode recurrence. Neuropsychopharmacology 2023; 48:1901-1909. [PMID: 37491672 PMCID: PMC10584833 DOI: 10.1038/s41386-023-01653-w] [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: 04/03/2023] [Revised: 06/09/2023] [Accepted: 06/26/2023] [Indexed: 07/27/2023]
Abstract
Recurrent episodes in major depressive disorder (MDD) are common but the neuroimaging features predictive of recurrence are not established. Participants in the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study who achieved remission after 12 weeks of treatment withcognitive behavior therapy, duloxetine, or escitalopram were prospectively monitored for up to 21 months for recurrence. Neuroimaging markers predictive of recurrence were identified from week 12 functional magnetic resonance imaging scans by analyzing whole-brain resting state functional connectivity (RSFC) using seeds for four brain networks that are altered in MDD. Neuroimaging correlates of established clinical predictors of recurrence, including the magnitude of depressive (Hamilton Depression Rating Scale), anxiety (Hamilton Anxiety Rating Scale) symptom severity at time of remission, and a comorbid anxiety disorder were examined for their similarity to the neuroimaging predictors of recurrence. Of the 344 patients randomized in PReDICT, 61 achieved remission and had usable scans for analysis, 9 of whom experienced recurrence during follow-up. Recurrence was predicted by: 1) increased RSFC between subcallosal cingulate cortex (SCC) and right anterior insula, 2) decreased RSFC between SCC and bilateral primary visual cortex, and 3) decreased RSFC between insula and bilateral caudate. Week 12 depression and anxiety scores were negatively correlated with RSFC strength between executive control and default mode networks, but they were not correlated with the three RSFC patterns predicting recurrence. We conclude that altered RSFC in SCC and anterior insula networks are prospective risk factors associated with MDD recurrence, reflecting additional sources of risk beyond clinical measures.
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Affiliation(s)
- Boadie W Dunlop
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, USA.
| | - Jungho Cha
- Department of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Ki Sueng Choi
- Department of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Charles B Nemeroff
- Department of Psychiatry and Behavioral Sciences, Institute for Early Life Adversity Research, University of Texas at Austin Dell Medical School, Austin, USA
| | - W Edward Craighead
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, USA
- Department of Psychology, Emory University, Atlanta, USA
| | - Helen S Mayberg
- Department of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
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13
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Wang Z, He D, Yang L, Wang P, Zou Z, Xiao J, Min W, He Y, Zhu H. Common and distinct patterns of task-related neural activation abnormalities in patients with remitted and current major depressive disorder: A systematic review and coordinate-based meta-analysis. Neurosci Biobehav Rev 2023; 152:105284. [PMID: 37315658 DOI: 10.1016/j.neubiorev.2023.105284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/20/2023] [Accepted: 06/11/2023] [Indexed: 06/16/2023]
Abstract
Whether remitted major depressive disorder (rMDD) and MDD present common or distinct neuropathological mechanisms remains unclear. We performed a meta-analysis of task-related whole-brain functional magnetic resonance imaging (fMRI) using anisotropic effect-size signed differential mapping software to compare brain activation between rMDD/MDD patients and healthy controls (HCs). We included 18 rMDD studies (458 patients and 476 HCs) and 120 MDD studies (3746 patients and 3863 HCs). The results showed that MDD and rMDD patients shared increased neural activation in the right temporal pole and right superior temporal gyrus. Several brain regions, including the right middle temporal gyrus, left inferior parietal, prefrontal cortex, left superior frontal gyrus and striatum, differed significantly between MDD and rMDD. Meta-regression analyses revealed that the percentage of females with MDD was positively associated with brain activity in the right lenticular nucleus/putamen. Our results provide valuable insights into the underlying neuropathology of brain dysfunction in MDD, developing more targeted and efficacious treatment and intervention strategies, and more importantly, providing potential neuroimaging targets for the early screening of MDD.
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Affiliation(s)
- Zuxing Wang
- Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Danmei He
- Mental Health Center, West China Hospital, Sichuan University, Chengdu 610041, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China; Med-X Center for Informatics, Sichuan University, Chengdu, Sichuan 610041, China
| | - Lin Yang
- Mental Health Center, West China Hospital, Sichuan University, Chengdu 610041, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China; Med-X Center for Informatics, Sichuan University, Chengdu, Sichuan 610041, China
| | - Peijia Wang
- Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhili Zou
- Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Jun Xiao
- Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Wenjiao Min
- Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Ying He
- Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Hongru Zhu
- Mental Health Center, West China Hospital, Sichuan University, Chengdu 610041, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China; Med-X Center for Informatics, Sichuan University, Chengdu, Sichuan 610041, China.
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14
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Reed MB, Handschuh PA, Klöbl M, Konadu ME, Kaufmann U, Hahn A, Kranz GS, Spies M, Lanzenberger R. The influence of sex steroid treatment on insular connectivity in gender dysphoria. Psychoneuroendocrinology 2023; 155:106336. [PMID: 37499299 DOI: 10.1016/j.psyneuen.2023.106336] [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: 12/14/2022] [Revised: 07/16/2023] [Accepted: 07/17/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Sex-specific differences in brain connectivity were found in various neuroimaging studies, though little is known about sex steroid effects on insular functioning. Based on well-characterized sex differences in emotion regulation, interoception and higher-level cognition, gender-dysphoric individuals receiving gender-affirming hormone therapy represent an interesting cohort to investigate how sex hormones might influence insular connectivity and related brain functions. METHODS To analyze the potential effect of sex steroids on insular connectivity at rest, 11 transgender women, 14 transgender men, 20 cisgender women, and 11 cisgender men were recruited. All participants underwent two magnetic resonance imaging sessions involving resting-state acquisitions separated by a median time period of 4.5 months and also completed the Bermond-Vorst alexithymia questionnaire at the initial and final examination. Between scans, transgender subjects received gender-affirming hormone therapy. RESULTS A seed based functional connectivity analysis revealed a significant 2-way interaction effect of group-by-time between right insula, cingulum, left middle frontal gyrus and left angular gyrus. Post-hoc tests demonstrated an increase in connectivity for transgender women when compared to cisgender men. Furthermore, spectral dynamic causal modelling showed reduced effective connectivity from the posterior cingulum and left angular gyrus to the left middle frontal gyrus as well as from the right insula to the left middle frontal gyrus. Alexithymia changes were found after gender-affirming hormone therapy for transgender women in both fantasizing and identifying. CONCLUSION These findings suggest a considerable influence of estrogen administration and androgen suppression on brain networks implicated in interoception, own-body perception and higher-level cognition.
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Affiliation(s)
- Murray B Reed
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Patricia A Handschuh
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Manfred Klöbl
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Melisande E Konadu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Ulrike Kaufmann
- Department of Obstetrics and Gynecology, Medical University of Vienna, Austria
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Georg S Kranz
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria; Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong, China
| | - Marie Spies
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.
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15
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Roebuck G, Mazzolini M, Mohebbi M, Pasco JA, Stuart AL, Forbes M, Berk M, Williams L. Anxiety disorders are associated with reduced bone mineral density in men: Findings from the Geelong Osteoporosis Study. Acta Psychiatr Scand 2023; 148:47-59. [PMID: 37157170 PMCID: PMC10952552 DOI: 10.1111/acps.13563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 03/29/2023] [Accepted: 04/11/2023] [Indexed: 05/10/2023]
Abstract
OBJECTIVE Certain psychiatric disorders, including depression, appear to impact adversely on bone health. Anxiety disorders are highly prevalent but few studies have examined their effects on bone tissue. This study investigated the effect of anxiety disorders on bone mineral density (BMD). METHODS This prospective cohort study used data from the Geelong Osteoporosis Study. Participants were women and men aged ≥20 years randomly selected from the electoral roll and followed up for a mean of 14.7 and 11.0 years, respectively. Participants were assessed for a lifetime history of an anxiety disorder using the Structured Clinical Interview for DSM-IV-TR. BMD in the lumbar spine and femoral neck was measured using dual-energy x-ray absorptiometry. RESULTS Eight hundred and ninety women and 785 men participated in the study. Adjusting for sociodemographic, biometric and lifestyle factors, medical comorbidities and medication use, anxiety disorders were associated with reduced BMD at the lumbar spine (partial η2 = 0.006; p = 0.018) and femoral neck (partial η2 = 0.006; p = 0.003) in men. These associations became non-significant when men with a history of comorbid mood disorders were excluded from the analysis. There was no significant association between anxiety disorders and BMD in women (p ≥ 0.168). CONCLUSIONS Anxiety disorders are associated with reduced BMD in men. This effect may be mediated by comorbid depression.
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Affiliation(s)
- Gregory Roebuck
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
- Phoenix Australia – Centre for Posttraumatic Mental Health, Department of PsychiatryUniversity of MelbourneParkvilleVictoriaAustralia
| | - Michael Mazzolini
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
- Melbourne Medical School, Faculty of Medicine, Dentistry and Health SciencesUniversity of MelbourneParkvilleVictoriaAustralia
| | | | - Julie A. Pasco
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
- Department of Medicine – Western HealthUniversity of MelbourneSt AlbansVictoriaAustralia
- Department of Epidemiology and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Amanda L. Stuart
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
| | - Malcolm Forbes
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
- Department of PsychiatryUniversity of MelbourneParkvilleVictoriaAustralia
| | - Michael Berk
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
- Orygen, The National Centre of Excellence in Youth Health, and the Florey Institute for Neuroscience and Mental Health, Department of PsychiatryUniversity of MelbourneParkvilleVictoriaAustralia
| | - Lana Williams
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
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16
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Herrmann L, Ade J, Kühnel A, Widmann A, Demenescu LR, Li M, Opel N, Speck O, Walter M, Colic L. Cross-sectional study of retrospective self-reported childhood emotional neglect and inhibitory neurometabolite levels in the pregenual anterior cingulate cortex in adult humans. Neurobiol Stress 2023; 25:100556. [PMID: 37521513 PMCID: PMC10371855 DOI: 10.1016/j.ynstr.2023.100556] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 06/09/2023] [Accepted: 07/07/2023] [Indexed: 08/01/2023] Open
Abstract
High childhood emotional maltreatment (CM-EMO) is reported in mood and anxiety disorders. The associations with an increased risk for psychopathology are not fully understood. One potential factor may be through alterations in gamma-Aminobutyric acid (GABA). The pregenual anterior cingulate cortex (pgACC) is an important brain region for emotion processing and its' GABA levels were previously implicated in mood and anxiety disorders pathophysiology. We examined the association between the self-reported CM-EMO in adulthood and GABA + levels in the pgACC and in a control region, anterior mid cingulate cortex. GABA+ and total creatine (tCr) were measured in the pgACC and aMCC voxels in seventy-four healthy volunteers (32 (43%) women, ages 19-54, age [standard deviation] = 27.1 [6.5]) using proton magnetic resonance spectroscopy at 7 T. Childhood Trauma Questionnaire was completed by adult participants to measure retrospective self-reported experience of emotional neglect (CM-EMO-NEG) and emotional abuse (CM-EMO-AB) during childhood. Linear mixed models tested the interaction between the region and the two subscales, and GABA+/tCr ratios, with an adjusted alpha = 0.025. Following, linear models, including with covariates were tested. There was an interaction effect between region and CM-EMO-NEG (B = -0.007, p = 0.009), driven by a negative relationship between CM-EMO-NEG and GABA+/tCr in the pgACC (B = -0.004, p = 0.013). Results for CM-EMO-NEG were robust to inclusion of different covariates (ps < 0.035). There was no interaction effect for the CM-EMO-AB (B = 0.007, p = 0.4). Limitations include cross-sectional measurement and retrospective nature of the CTQ. The findings indicate preliminary importance of inhibitory neurometabolite concentrations in the pgACC for retrospective reporting of CM-EMO-NEG.
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Affiliation(s)
- Luisa Herrmann
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- University Department of Psychiatry and Psychotherapy, University Tuebingen, Tuebingen, Germany
- Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany
| | - Johanna Ade
- Institute of Clinical Psychology, Center for Mental Health, Hospital Stuttgart, Stuttgart, Germany
| | - Anne Kühnel
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry and International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
- Section of Medical Psychology, Department of Psychiatry & Psychotherapy, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Annina Widmann
- Experimental and Molecular Psychiatry, LWL University Hospital, Ruhr University Bochum, Bochum, Germany
| | | | - Meng Li
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany
- German Center for Mental Health, Halle-Jena-Magdeburg, Germany
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- German Center for Mental Health, Halle-Jena-Magdeburg, Germany
| | - Oliver Speck
- German Center for Mental Health, Halle-Jena-Magdeburg, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Biomedical Magnetic Resonance, Otto von Guericke University, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- University Department of Psychiatry and Psychotherapy, University Tuebingen, Tuebingen, Germany
- Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany
- German Center for Mental Health, Halle-Jena-Magdeburg, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
- Max Planck Institute for Biological Cybernetics, Tuebingen, Germany
| | - Lejla Colic
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany
- German Center for Mental Health, Halle-Jena-Magdeburg, Germany
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Böttger SJ, Förstner BR, Szalek L, Koller-Schlaud K, Rapp MA, Tschorn M. Mood and anxiety disorders within the Research Domain Criteria framework of Positive and Negative Valence Systems: a scoping review. Front Hum Neurosci 2023; 17:1184978. [PMID: 37333832 PMCID: PMC10272468 DOI: 10.3389/fnhum.2023.1184978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 05/02/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction While a growing body of research is adopting Research Domain Criteria (RDoC)-related methods and constructs, there is still a lack of comprehensive reviews on the state of published research on Positive Valence Systems (PVS) and Negative Valence Systems (NVS) in mood and anxiety disorders consistent with the RDoC framework. Methods Five electronic databases were searched to identify peer-reviewed publications covering research on "positive valence" and "negative valence" as well as "valence," "affect," and "emotion" for individuals with symptoms of mood and anxiety disorders. Data was extracted with a focus on disorder, domain, (sub-) constructs, units of analysis, key results, and study design. Findings are presented along four sections, distinguishing between primary articles and reviews each for PVS, NVS, and cross-domain PVS and NVS. Results A total of 231 abstracts were identified, and 43 met the inclusion criteria for this scoping review. Seventeen publications addressed research on PVS, seventeen on NVS, and nine covered cross-domain research on PVS and NVS. Psychological constructs were typically examined across different units of analysis, with the majority of publications incorporating two or more measures. Molecular, genetic, and physiological aspects were mainly investigated via review articles, primary articles focused on self-report, behavioral, and, to a lesser extent, physiological measures. Conclusions This present scoping review shows that mood and anxiety disorders were actively studied using a range of genetic, molecular, neuronal, physiological, behavioral, and self-report measures within the RDoC PVS and NVS. Results highlight the essential role of specific cortical frontal brain structures and of subcortical limbic structures in impaired emotional processing in mood and anxiety disorders. Findings also indicate overall limited research on NVS in bipolar disorders and PVS in anxiety disorders, a majority of self-report studies, and predominantly observational studies. Future research is needed to develop more RDoC-consistent advancements and intervention studies targeting neuroscience-driven PVS and NVS constructs.
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Affiliation(s)
- Sarah Jane Böttger
- Social and Preventive Medicine, Department of Sports and Health Sciences, University of Potsdam, Potsdam, Germany
- DZPG (German Center of Mental Health), partner site Berlin/Potsdam, Potsdam, Germany
| | - Bernd R. Förstner
- Social and Preventive Medicine, Department of Sports and Health Sciences, University of Potsdam, Potsdam, Germany
- DZPG (German Center of Mental Health), partner site Berlin/Potsdam, Potsdam, Germany
| | - Laura Szalek
- Social and Preventive Medicine, Department of Sports and Health Sciences, University of Potsdam, Potsdam, Germany
| | - Kristin Koller-Schlaud
- Department of Psychiatry, Psychotherapy and Psychosomatics, Brandenburg Medical School, University Hospital Ruppin-Brandenburg, Neuruppin, Germany
| | - Michael A. Rapp
- Social and Preventive Medicine, Department of Sports and Health Sciences, University of Potsdam, Potsdam, Germany
- DZPG (German Center of Mental Health), partner site Berlin/Potsdam, Potsdam, Germany
| | - Mira Tschorn
- Social and Preventive Medicine, Department of Sports and Health Sciences, University of Potsdam, Potsdam, Germany
- DZPG (German Center of Mental Health), partner site Berlin/Potsdam, Potsdam, Germany
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18
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Bang M, Kim B, Lee KS, Choi TK, Lee SH. Long-term benefits of mindfulness on white matter tracts underlying the cortical midline structures in panic disorder: A 2-year longitudinal study. Psychiatry Clin Neurosci 2023; 77:355-364. [PMID: 36917206 DOI: 10.1111/pcn.13544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 03/08/2023] [Accepted: 03/10/2023] [Indexed: 03/16/2023]
Abstract
AIMS We aimed to examine the long-term benefits of mindfulness-based cognitive therapy (MBCT) on white matter plasticity in the cortical midline structures (CMS) for a period of 2 years in patients with panic disorder and the relationships between white matter changes in the CMS and severity of state and trait symptoms. METHODS Seventy-one participants were enrolled and underwent diffusion tensor imaging at baseline and after 2 years (26 who received MBCT as an adjunct to pharmacotherapy [MBCT+PT], 20 treated with pharmacotherapy alone [PT-alone], and 25 healthy controls [HCs]). The severity of symptoms and fractional anisotropy (FA) in white matter regions underlying the CMS were assessed at baseline and 2-year follow-up. RESULTS The MBCT+PT group showed better outcomes after 2 years than the PT-alone group. The groups showed different FA changes: the MBCT+PT group showed decreased FA in the left anterior cingulate cortex (ACC); the PT-alone group showed increased FA in the bilateral dorsomedial prefrontal cortex, posterior cingulate cortex (PCC), and precuneus. Decreased white matter FA in the ACC, PCC, and precuneus was associated with improvements in the severity of state and trait symptoms in patients with panic disorder. CONCLUSION Alleviation of excessive white matter connectivity in the CMS after MBCT leads to improvements in clinical symptoms and trait vulnerability in patients with panic disorder. Our study provides new evidence for the long-term benefits of MBCT on white matter plasticity and its clinical applicability as a robust treatment for panic disorder.
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Affiliation(s)
- Minji Bang
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Borah Kim
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Kang Soo Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Tai Kiu Choi
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
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19
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Hardi FA, Goetschius LG, McLoyd V, Lopez‐Duran NL, Mitchell C, Hyde LW, Beltz AM, Monk CS. Adolescent functional network connectivity prospectively predicts adult anxiety symptoms related to perceived COVID-19 economic adversity. J Child Psychol Psychiatry 2023; 64:918-929. [PMID: 36579796 PMCID: PMC9880614 DOI: 10.1111/jcpp.13749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/10/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Stressful events, such as the COVID-19 pandemic, are major contributors to anxiety and depression, but only a subset of individuals develop psychopathology. In a population-based sample (N = 174) with a high representation of marginalized individuals, this study examined adolescent functional network connectivity as a marker of susceptibility to anxiety and depression in the context of adverse experiences. METHODS Data-driven network-based subgroups were identified using an unsupervised community detection algorithm within functional neural connectivity. Neuroimaging data collected during emotion processing (age 15) were extracted from a priori regions of interest linked to anxiety and depression. Symptoms were self-reported at ages 15, 17, and 21 (during COVID-19). During COVID-19, participants reported on pandemic-related economic adversity. Differences across subgroup networks were first examined, then subgroup membership and subgroup-adversity interaction were tested to predict change in symptoms over time. RESULTS Two subgroups were identified: Subgroup A, characterized by relatively greater neural network variation (i.e., heterogeneity) and density with more connections involving the amygdala, subgenual cingulate, and ventral striatum; and the more homogenous Subgroup B, with more connections involving the insula and dorsal anterior cingulate. Accounting for initial symptoms, subgroup A individuals had greater increases in symptoms across time (β = .138, p = .042), and this result remained after adjusting for additional covariates (β = .194, p = .023). Furthermore, there was a subgroup-adversity interaction: compared with Subgroup B, Subgroup A reported greater anxiety during the pandemic in response to reported economic adversity (β = .307, p = .006), and this remained after accounting for initial symptoms and many covariates (β = .237, p = .021). CONCLUSIONS A subgrouping algorithm identified young adults who were susceptible to adversity using their personalized functional network profiles derived from a priori brain regions. These results highlight potential prospective neural signatures involving heterogeneous emotion networks that predict individuals at the greatest risk for anxiety when experiencing adverse events.
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Affiliation(s)
| | | | - Vonnie McLoyd
- Department of PsychologyUniversity of MichiganAnn ArborMIUSA
| | | | - Colter Mitchell
- Survey Research Center of the Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
- Population Studies Center of the Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
| | - Luke W. Hyde
- Department of PsychologyUniversity of MichiganAnn ArborMIUSA
- Survey Research Center of the Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
| | | | - Christopher S. Monk
- Department of PsychologyUniversity of MichiganAnn ArborMIUSA
- Survey Research Center of the Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
- Neuroscience Graduate Program University of MichiganAnn ArborMIUSA
- Department of PsychiatryUniversity of MichiganAnn ArborMIUSA
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20
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Shamabadi A, Karimi H, Cattarinussi G, Moghaddam HS, Akhondzadeh S, Sambataro F, Schiena G, Delvecchio G. Neuroimaging Correlates of Treatment Response to Transcranial Magnetic Stimulation in Bipolar Depression: A Systematic Review. Brain Sci 2023; 13:brainsci13050801. [PMID: 37239273 DOI: 10.3390/brainsci13050801] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 05/10/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
Transcranial magnetic stimulation (TMS) has become a promising strategy for bipolar disorder (BD). This study reviews neuroimaging findings, indicating functional, structural, and metabolic brain changes associated with TMS in BD. Web of Science, Embase, Medline, and Google Scholar were searched without any restrictions for studies investigating neuroimaging biomarkers, through structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI), magnetic resonance spectroscopy (MRS), positron emission tomography (PET), and single photon emission computed tomography (SPECT), in association with response to TMS in patients with BD. Eleven studies were included (fMRI = 4, MRI = 1, PET = 3, SPECT = 2, and MRS = 1). Important fMRI predictors of response to repetitive TMS (rTMS) included higher connectivity of emotion regulation and executive control regions. Prominent MRI predictors included lower ventromedial prefrontal cortex connectivity and lower superior frontal and caudal middle frontal volumes. SPECT studies found hypoconnectivity of the uncus/parahippocampal cortex and right thalamus in non-responders. The post-rTMS changes using fMRI mostly showed increased connectivity among the areas neighboring the coil. Increased blood perfusion was reported post-rTMS in PET and SPECT studies. Treatment response comparison between unipolar depression and BD revealed almost equal responses. Neuroimaging evidence suggests various correlates of response to rTMS in BD, which needs to be further replicated in future studies.
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Affiliation(s)
- Ahmad Shamabadi
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran M9HV+R6Q, Iran
- School of Medicine, Tehran University of Medical Sciences, Tehran P94V+8MF, Iran
| | - Hanie Karimi
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran M9HV+R6Q, Iran
- School of Medicine, Tehran University of Medical Sciences, Tehran P94V+8MF, Iran
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, 35131 Padua, Italy
| | - Hossein Sanjari Moghaddam
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran M9HV+R6Q, Iran
| | - Shahin Akhondzadeh
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran M9HV+R6Q, Iran
| | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, 35131 Padua, Italy
| | - Giandomenico Schiena
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
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21
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Carsten HP, Härpfer K, Nelson BD, Kathmann N, Riesel A. Don't worry, it won't be fine. Contributions of worry and anxious arousal to startle responses and event-related potentials in threat anticipation. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2023:10.3758/s13415-023-01094-4. [PMID: 37106311 PMCID: PMC10400686 DOI: 10.3758/s13415-023-01094-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/26/2023] [Indexed: 04/29/2023]
Abstract
A widely shared framework suggests that anxiety maps onto two dimensions: anxious apprehension and anxious arousal. Previous research linked individual differences in these dimensions to differential neural response patterns in neuropsychological, imaging, and physiological studies. Differential effects of the anxiety dimensions might contribute to inconsistencies in prior studies that examined neural processes underlying anxiety, such as hypersensitivity to unpredictable threat. We investigated the association between trait worry (as a key component of anxious apprehension), anxious arousal, and the neural processing of anticipated threat. From a large online community sample (N = 1,603), we invited 136 participants with converging and diverging worry and anxious arousal profiles into the laboratory. Participants underwent the NPU-threat test with alternating phases of unpredictable threat, predictable threat, and safety, while physiological responses (startle reflex and startle probe locked event-related potential components N1 and P3) were recorded. Worry was associated with increased startle responses to unpredictable threat and increased attentional allocation (P3) to startle probes in predictable threat anticipation. Anxious arousal was associated with increased startle and N1 in unpredictable threat anticipation. These results suggest that trait variations in the anxiety dimensions shape the dynamics of neural processing of threat. Specifically, trait worry seems to simultaneously increase automatic defensive preparation during unpredictable threat and increase attentional responding to threat-irrelevant stimuli during predictable threat anticipation. The current study highlights the utility of anxiety dimensions to understand how physiological responses during threat anticipation are altered in anxiety and supports that worry is associated with hypersensitivity to unpredictable, aversive contexts.
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Affiliation(s)
- Hannes Per Carsten
- Department of Psychology, University of Hamburg, Von-Melle-Park 11, 20146, Hamburg, Germany.
| | - Kai Härpfer
- Department of Psychology, University of Hamburg, Von-Melle-Park 11, 20146, Hamburg, Germany
| | - Brady D Nelson
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Norbert Kathmann
- Department of Psychology, Humboldt University of Berlin, Berlin, Germany
| | - Anja Riesel
- Department of Psychology, University of Hamburg, Von-Melle-Park 11, 20146, Hamburg, Germany
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22
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Abbas M, Gandy K, Salas R, Devaraj S, Calarge CA. Iron deficiency and internalizing symptom severity in unmedicated adolescents: a pilot study. Psychol Med 2023; 53:2274-2284. [PMID: 34911595 DOI: 10.1017/s0033291721004098] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Iron plays a key role in a broad set of metabolic processes. Iron deficiency is the most common nutritional deficiency in the world, but its neuropsychiatric implications in adolescents have not been examined. METHODS Twelve- to 17-year-old unmedicated females with major depressive or anxiety disorders or with no psychopathology underwent a comprehensive psychiatric assessment for this pilot study. A T1-weighted magnetic resonance imaging scan was obtained, segmented using Freesurfer. Serum ferritin concentration (sF) was measured. Correlational analyses examined the association between body iron stores, psychiatric symptom severity, and basal ganglia volumes, accounting for confounding variables. RESULTS Forty females were enrolled, 73% having a major depressive and/or anxiety disorder, 35% with sF < 15 ng/mL, and 50% with sF < 20 ng/mL. Serum ferritin was inversely correlated with both anxiety and depressive symptom severity (r = -0.34, p < 0.04 and r = -0.30, p < 0.06, respectively). Participants with sF < 15 ng/mL exhibited more severe depressive and anxiety symptoms as did those with sF < 20 ng/mL. Moreover, after adjusting for age and total intracranial volume, sF was inversely associated with left caudate (Spearman's r = -0.46, p < 0.04), left putamen (r = -0.58, p < 0.005), and right putamen (r = -0.53, p < 0.01) volume. CONCLUSIONS Brain iron may become depleted at a sF concentration higher than the established threshold to diagnose iron deficiency (i.e. 15 ng/mL), potentially disrupting brain maturation and contributing to the emergence of internalizing disorders in adolescents.
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Affiliation(s)
- Malak Abbas
- The Rockefeller University, New York, NY 10065, USA
| | - Kellen Gandy
- St. Jude Children's Research Hospital, Houston, Texas 77027, USA
| | - Ramiro Salas
- Baylor College of Medicine - Center for Translational Research on Inflammatory Diseases, Michael E DeBakey VA Medical Center, Houston, Texas 77030, USA
| | | | - Chadi A Calarge
- Baylor College of Medicine - The Menninger Department of Psychiatry and Behavioral Sciences, 1102 Bates Ave, Suite 790, Houston, Texas 77030, USA
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23
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Xie H, Cao Y, Li J, Lyu Y, Roberts N, Jia Z. Affective disorder and brain alterations in children and adolescents exposed to outdoor air pollution. J Affect Disord 2023; 331:413-424. [PMID: 36997124 DOI: 10.1016/j.jad.2023.03.082] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 03/20/2023] [Accepted: 03/24/2023] [Indexed: 04/01/2023]
Abstract
BACKGROUND Childhood and adolescence are critical periods for the development of the brain. However, a limited number of studies have explored how air pollution may associate with affective symptoms in youth. METHODS We performed a comprehensive review of the existing research on the associations between outdoor air pollution and affective disorders, suicidality, and the evidence for brain changes in youth. PRISMA guidelines were followed and PubMed, Embase, Web of Science, Cochrane Library, and PsychINFO databases were searched from their inception to June 2022. RESULTS From 2123 search records, 28 papers were identified as being relevant for studying the association between air pollution and affective disorders (n = 14), suicide (n = 5), and neuroimaging-based evidence of brain alterations (n = 9). The exposure levels and neuropsychological performance measures were highly heterogeneous and confounders including traffic-related noise, indoor air pollution, and social stressors were not consistently considered. Notwithstanding, 10 out of the 14 papers provide evidence that air pollution is associated with increased risk of depression symptoms, and 4 out of 5 papers provide evidence that air pollution might trigger suicidal attempts and behaviors. Besides, 5 neuroimaging studies revealed decreased gray-matter volume in the Cortico-Striato-Thalamo-Cortical neurocircuitry, and two found white matter hyperintensities in the prefrontal lobe. CONCLUSIONS Outdoor air pollution is associated with increased risks of affective disorders and suicide in youth, and there is evidence for associated structural and functional brain abnormalities. Future studies should determine the specific effects of each air pollutant, the critical exposure levels, and population susceptibility.
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Affiliation(s)
- Hongsheng Xie
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Yuan Cao
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan University, Chengdu, China
| | - Jiafeng Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yichen Lyu
- Department of civil and environmental engineering, University of Illinois, Champaign, IL, United States of America
| | - Neil Roberts
- The Queens Medical Research Institute (QMRI), School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan University, Chengdu, China.
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24
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Long X, Li L, Wang X, Cao Y, Wu B, Roberts N, Gong Q, Kemp GJ, Jia Z. Gray matter alterations in adolescent major depressive disorder and adolescent bipolar disorder. J Affect Disord 2023; 325:550-563. [PMID: 36669567 DOI: 10.1016/j.jad.2023.01.049] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 12/24/2022] [Accepted: 01/11/2023] [Indexed: 01/19/2023]
Abstract
BACKGROUND Gray matter volume (GMV) alterations in several emotion-related brain areas are implicated in mood disorders, but findings have been inconsistent in adolescents with major depressive disorder (MDD) or bipolar disorder (BD). METHODS We conducted a comprehensive meta-analysis of 35 region-of-interest (ROI) and 18 whole-brain voxel-based morphometry (VBM) MRI studies in adolescent MDD and adolescent BD, and indirectly compared the results in the two groups. The effects of age, sex, and other demographic and clinical scale scores were explored using meta-regression analysis. RESULTS In the ROI meta-analysis, right putamen volume was decreased in adolescents with MDD, while bilateral amygdala volume was decreased in adolescents with BD compared to healthy controls (HC). In the whole-brain VBM meta-analysis, GMV was increased in right middle frontal gyrus and decreased in left caudate in adolescents with MDD compared to HC, while in adolescents with BD, GMV was increased in left superior frontal gyrus and decreased in limbic regions compared with HC. MDD vs BD comparison revealed volume alteration in the prefrontal-limbic system. LIMITATION Different clinical features limit the comparability of the samples, and small sample size and insufficient clinical details precluded subgroup analysis or meta-regression analyses of these variables. CONCLUSIONS Distinct patterns of GMV alterations in adolescent MDD and adolescent BD could help to differentiate these two populations and provide potential diagnostic biomarkers.
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Affiliation(s)
- Xipeng Long
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 GuoXue Xiang, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China
| | - Lei Li
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China
| | - Xiuli Wang
- Department of Clinical Psychiatry, the Fourth People's Hospital of Chengdu, Chengdu 610041, Sichuan, PR China
| | - Yuan Cao
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 GuoXue Xiang, Chengdu 610041, Sichuan, PR China
| | - Baolin Wu
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China
| | - Neil Roberts
- The Queens Medical Research Institute (QMRI), School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China; Department of Radiology, West China Xiamen Hospital of Sichuan University, 699Jinyuan Xi Road, Jimei District, 361021 Xiamen, Fujian, PR China
| | - Graham J Kemp
- Liverpool Magnetic Resonance Imaging Center (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 GuoXue Xiang, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China.
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25
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Ge R, Sassi R, Yatham LN, Frangou S. Neuroimaging profiling identifies distinct brain maturational subtypes of youth with mood and anxiety disorders. Mol Psychiatry 2023; 28:1072-1078. [PMID: 36577839 PMCID: PMC10005933 DOI: 10.1038/s41380-022-01925-9] [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: 08/31/2022] [Revised: 12/07/2022] [Accepted: 12/13/2022] [Indexed: 12/29/2022]
Abstract
Mood and anxiety disorders typically begin in adolescence and have overlapping clinical features but marked inter-individual variation in clinical presentation. The use of multimodal neuroimaging data may offer novel insights into the underlying brain mechanisms. We applied Heterogeneity Through Discriminative Analysis (HYDRA) to measures of regional brain morphometry, neurite density, and intracortical myelination to identify subtypes of youth, aged 9-10 years, with mood and anxiety disorders (N = 1931) compared to typically developing youth (N = 2823). We identified three subtypes that were robust to permutation testing and sample composition. Subtype 1 evidenced a pattern of imbalanced cortical-subcortical maturation compared to the typically developing group, with subcortical regions lagging behind prefrontal cortical thinning and myelination and greater cortical surface expansion globally. Subtype 2 displayed a pattern of delayed cortical maturation indicated by higher cortical thickness and lower cortical surface area expansion and myelination compared to the typically developing group. Subtype 3 showed evidence of atypical brain maturation involving globally lower cortical thickness and surface coupled with higher myelination and neural density. Subtype 1 had superior cognitive function in contrast to the other two subtypes that underperformed compared to the typically developing group. Higher levels of parental psychopathology, family conflict, and social adversity were common to all subtypes, with subtype 3 having the highest burden of adverse exposures. These analyses comprehensively characterize pre-adolescent mood and anxiety disorders, the biopsychosocial context in which they arise, and lay the foundation for the examination of the longitudinal evolution of the subtypes identified as the study sample transitions through adolescence.
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Affiliation(s)
- Ruiyang Ge
- Djavad Mowafaghian Centre for Brain Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Roberto Sassi
- Djavad Mowafaghian Centre for Brain Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,BC Children's Hospital, Vancouver, BC, Canada
| | - Lakshmi N Yatham
- Djavad Mowafaghian Centre for Brain Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Sophia Frangou
- Djavad Mowafaghian Centre for Brain Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada. .,Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada. .,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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26
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Bauer EA, Wilson KA, Phan KL, Shankman SA, MacNamara A. A Neurobiological Profile Underlying Comorbidity Load and Prospective Increases in Dysphoria in a Focal Fear Sample. Biol Psychiatry 2023; 93:352-361. [PMID: 36280453 PMCID: PMC10866641 DOI: 10.1016/j.biopsych.2022.08.009] [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: 03/01/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 01/21/2023]
Abstract
BACKGROUND Knowledge of the neural mechanisms underlying increased disease burden in anxiety disorders that is unaccounted for by individual categorical diagnoses could lead to improved clinical care. Here, we tested the utility of a joint functional magnetic resonance imaging-electroencephalography neurobiological profile characterized by overvaluation of negative stimuli (amygdala) in combination with blunted elaborated processing of these same stimuli (the late positive potential [LPP], an event-related potential) in predicting increased psychopathology across a 2-year period in people with anxiety disorders. METHODS One hundred ten participants (64 female, 45 male, 1 other) including 78 participants with phobias who varied in the extent of their internalizing comorbidity and 32 participants who were free from psychopathology viewed negative and neutral pictures during separate functional magnetic resonance imaging blood oxygen level-dependent and electroencephalogram recordings. Dysphoria was assessed at baseline and 2 years later. RESULTS Participants with both heightened amygdala activation and blunted LPPs to negative pictures showed the greatest increases in dysphoria 2 years later. Cross-sectionally, participants with higher comorbidity load (≥2 additional diagnoses, n = 34) showed increased amygdala activation to negative pictures compared with participants with lower comorbidity load (≤1 additional diagnosis, n = 44) and compared with participants free from psychopathology. In addition, high comorbid participants showed reduced LPPs to negative pictures compared with low comorbid participants. CONCLUSIONS Heightened amygdala in response to negative stimuli in combination with blunted LPPs could indicate overvaluation of threatening stimuli in the absence of elaborated processing that might otherwise help regulate threat responding. This brain profile could underlie the worsening and maintenance of internalizing psychopathology over time.
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Affiliation(s)
- Elizabeth A Bauer
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, Texas.
| | - Kayla A Wilson
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, Texas
| | - K Luan Phan
- Department of Psychiatry and Behavioral Health, Ohio State University, Columbus, Ohio
| | - Stewart A Shankman
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Evanston, Illinois
| | - Annmarie MacNamara
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, Texas
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27
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Individual- and Connectivity-Based Real-Time fMRI Neurofeedback to Modulate Emotion-Related Brain Responses in Patients with Depression: A Pilot Study. Brain Sci 2022; 12:brainsci12121714. [PMID: 36552173 PMCID: PMC9775232 DOI: 10.3390/brainsci12121714] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/08/2022] [Accepted: 12/11/2022] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Individual real-time functional magnetic resonance imaging neurofeedback (rtfMRI NF) might be a promising adjuvant in treating depressive symptoms. Further studies showed functional variations and connectivity-related changes in the dorsolateral prefrontal cortex (dlPFC) and the insular cortex. OBJECTIVES The aim of this pilot study was to investigate whether individualized connectivity-based rtfMRI NF training can improve symptoms in depressed patients as an adjunct to a psychotherapeutic programme. The novel strategy chosen for this was to increase connectivity between individualized regions of interest, namely the insula and the dlPFC. METHODS Sixteen patients diagnosed with major depressive disorder (MDD, ICD-10) and 19 matched healthy controls (HC) participated in a rtfMRI NF training consisting of two sessions with three runs each, within an interval of one week. RtfMRI NF was applied during a sequence of negative emotional pictures to modulate the connectivity between the dlPFC and the insula. The MDD REAL group was divided into a Responder and a Non-Responder group. Patients with an increased connectivity during the second NF session or during both the first and the second NF session were identified as "MDD REAL Responder" (N = 6). Patients that did not show any increase in connectivity and/or a decreased connectivity were identified as "MDD REAL Non-Responder" (N = 7). RESULTS Before the rtfMRI sessions, patients with MDD showed higher neural activation levels in ventromedial PFC and the insula than HC; by contrast, HC revealed increased hemodynamic activity in visual processing areas (primary visual cortex and visual association cortex) compared to patients with MDD. The comparison of hemodynamic responses during the first compared to during the last NF session demonstrated significantly increased BOLD-activation in the medial orbitofrontal cortex (mOFC) in patients and HC, and additionally in the lateral OFC in patients with MDD. These findings were particularly due to the MDD Responder group, as the MDD Non-Responder group showed no increase in this region during the last NF run. There was a decrease of neural activation in emotional processing brain regions in both groups in the last NF run compared to the first: HC showed differences in the insula, parahippocampal gyrus, basal ganglia, and cingulate gyrus. Patients with MDD demonstrated deceased responses in the parahippocampal gyrus. There was no significant reduction of BDI scores after NF training in patients. CONCLUSIONS Increased neural activation in the insula and vmPFC in MDD suggests an increased emotional reaction in patients with MDD. The activation of the mOFC could be associated with improved control-strategies and association-learning processes. The increased lOFC activation could indicate a stronger sensitivity to failed NF attempts in MDD. A stronger involvement of visual processing areas in HC may indicate better adaptation to negative emotional stimuli after repeated presentation. Overall, the rtfMRI NF had an impact on neurobiological mechanisms, but not on psychometric measures in patients with MDD.
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Wang Z, Zou Z, Xiao J, Wang P, Luo Y, Min W, He Y, Yuan C, Su Y, Yang C, Chang F, Zhu H. Task-related neural activation abnormalities in patients with remitted major depressive disorder: A coordinate-based meta-analysis. Neurosci Biobehav Rev 2022; 143:104929. [DOI: 10.1016/j.neubiorev.2022.104929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/14/2022] [Accepted: 10/25/2022] [Indexed: 11/06/2022]
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Zundel CG, Ryan P, Brokamp C, Heeter A, Huang Y, Strawn JR, Marusak HA. Air pollution, depressive and anxiety disorders, and brain effects: A systematic review. Neurotoxicology 2022; 93:272-300. [PMID: 36280190 PMCID: PMC10015654 DOI: 10.1016/j.neuro.2022.10.011] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 10/12/2022] [Accepted: 10/19/2022] [Indexed: 11/05/2022]
Abstract
Accumulating data suggest that air pollution increases the risk of internalizing psychopathology, including anxiety and depressive disorders. Moreover, the link between air pollution and poor mental health may relate to neurostructural and neurofunctional changes. We systematically reviewed the MEDLINE database in September 2021 for original articles reporting effects of air pollution on 1) internalizing symptoms and behaviors (anxiety or depression) and 2) frontolimbic brain regions (i.e., hippocampus, amygdala, prefrontal cortex). One hundred and eleven articles on mental health (76% human, 24% animals) and 92 on brain structure and function (11% human, 86% animals) were identified. For literature search 1, the most common pollutants examined were PM2.5 (64.9%), NO2 (37.8%), and PM10 (33.3%). For literature search 2, the most common pollutants examined were PM2.5 (32.6%), O3 (26.1%) and Diesel Exhaust Particles (DEP) (26.1%). The majority of studies (73%) reported higher internalizing symptoms and behaviors with higher air pollution exposure. Air pollution was consistently associated (95% of articles reported significant findings) with neurostructural and neurofunctional effects (e.g., increased inflammation and oxidative stress, changes to neurotransmitters and neuromodulators and their metabolites) within multiple brain regions (24% of articles), or within the hippocampus (66%), PFC (7%), and amygdala (1%). For both literature searches, the most studied exposure time frames were adulthood (48% and 59% for literature searches 1 and 2, respectively) and the prenatal period (26% and 27% for literature searches 1 and 2, respectively). Forty-three percent and 29% of studies assessed more than one exposure window in literature search 1 and 2, respectively. The extant literature suggests that air pollution is associated with increased depressive and anxiety symptoms and behaviors, and alterations in brain regions implicated in risk of psychopathology. However, there are several gaps in the literature, including: limited studies examining the neural consequences of air pollution in humans. Further, a comprehensive developmental approach is needed to examine windows of susceptibility to exposure and track the emergence of psychopathology following air pollution exposure.
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Affiliation(s)
- Clara G Zundel
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
| | - Patrick Ryan
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
| | - Cole Brokamp
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
| | - Autumm Heeter
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
| | - Yaoxian Huang
- Department of Civil and Environmental Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, USA.
| | - Jeffrey R Strawn
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Anxiety Disorders Research Program, Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA.
| | - Hilary A Marusak
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA; Merrill Palmer Skillman Institute for Child and Family Development, Wayne State University, Detroit, MI, USA; Translational Neuroscience Program, Wayne State University, Detroit, MI, USA.
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Perez TM, Glue P, Adhia DB, Navid MS, Zeng J, Dillingham P, Smith M, Niazi IK, Young CK, De Ridder D. Infraslow closed-loop brain training for anxiety and depression (ISAD): a protocol for a randomized, double-blind, sham-controlled pilot trial in adult females with internalizing disorders. Trials 2022; 23:949. [PMID: 36397122 PMCID: PMC9670077 DOI: 10.1186/s13063-022-06863-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 10/22/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The core intrinsic connectivity networks (core-ICNs), encompassing the default-mode network (DMN), salience network (SN) and central executive network (CEN), have been shown to be dysfunctional in individuals with internalizing disorders (IDs, e.g. major depressive disorder, MDD; generalized anxiety disorder, GAD; social anxiety disorder, SOC). As such, source-localized, closed-loop brain training of electrophysiological signals, also known as standardized low-resolution electromagnetic tomography (sLORETA) neurofeedback (NFB), targeting key cortical nodes within these networks has the potential to reduce symptoms associated with IDs and restore normal core ICN function. We intend to conduct a randomized, double-blind (participant and assessor), sham-controlled, parallel-group (3-arm) trial of sLORETA infraslow (<0.1 Hz) fluctuation neurofeedback (sLORETA ISF-NFB) 3 times per week over 4 weeks in participants (n=60) with IDs. Our primary objectives will be to examine patient-reported outcomes (PROs) and neurophysiological measures to (1) compare the potential effects of sham ISF-NFB to either genuine 1-region ISF-NFB or genuine 2-region ISF-NFB, and (2) assess for potential associations between changes in PRO scores and modifications of electroencephalographic (EEG) activity/connectivity within/between the trained regions of interest (ROIs). As part of an exploratory analysis, we will investigate the effects of additional training sessions and the potential for the potentiation of the effects over time. METHODS We will randomly assign participants who meet the criteria for MDD, GAD, and/or SOC per the MINI (Mini International Neuropsychiatric Interview for DSM-5) to one of three groups: (1) 12 sessions of posterior cingulate cortex (PCC) ISF-NFB up-training (n=15), (2) 12 sessions of concurrent PCC ISF up-training and dorsal anterior cingulate cortex (dACC) ISF-NFB down-training (n=15), or (3) 6 sessions of yoked-sham training followed by 6 sessions genuine ISF-NFB (n=30). Transdiagnostic PROs (Hospital Anxiety and Depression Scale, HADS; Inventory of Depression and Anxiety Symptoms - Second Version, IDAS-II; Multidimensional Emotional Disorder Inventory, MEDI; Intolerance of Uncertainty Scale - Short Form, IUS-12; Repetitive Thinking Questionnaire, RTQ-10) as well as resting-state neurophysiological measures (full-band EEG and ECG) will be collected from all subjects during two baseline sessions (approximately 1 week apart) then at post 6 sessions, post 12 sessions, and follow-up (1 month later). We will employ Bayesian methods in R and advanced source-localisation software (i.e. exact low-resolution brain electromagnetic tomography; eLORETA) in our analysis. DISCUSSION This protocol will outline the rationale and research methodology for a clinical pilot trial of sLORETA ISF-NFB targeting key nodes within the core-ICNs in a female ID population with the primary aims being to assess its potential efficacy via transdiagnostic PROs and relevant neurophysiological measures. TRIAL REGISTRATION Our study was prospectively registered with the Australia New Zealand Clinical Trials Registry (ANZCTR; Trial ID: ACTRN12619001428156). Registered on October 15, 2019.
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Affiliation(s)
- Tyson M Perez
- Department of Surgical Sciences, University of Otago, Dunedin, New Zealand.
- Department of Psychological Medicine, University of Otago, Dunedin, New Zealand.
| | - Paul Glue
- Department of Psychological Medicine, University of Otago, Dunedin, New Zealand
| | - Divya B Adhia
- Department of Surgical Sciences, University of Otago, Dunedin, New Zealand
| | - Muhammad S Navid
- Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland, New Zealand
- Donders Institute for Brain, Cognition and Behaviour, Radbout University Medical Center, Nijmegen, The Netherlands
| | - Jiaxu Zeng
- Department of Preventative & Social Medicine, Otago Medical School-Dunedin Campus, University of Otago, Dunedin, New Zealand
| | - Peter Dillingham
- Coastal People Southern Skies Centre of Research Excellence, Department of Mathematics & Statistics, University of Otago, Dunedin, New Zealand
| | - Mark Smith
- Neurofeedback Therapy Services of New York, New York, USA
| | - Imran K Niazi
- Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland, New Zealand
| | - Calvin K Young
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Dirk De Ridder
- Department of Surgical Sciences, University of Otago, Dunedin, New Zealand
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Abstract
Bipolar disorder (BD) is a severe mental illness associated with alterations in brain organization. Neuroimaging studies have generated a large body of knowledge regarding brain morphological and functional abnormalities in BD. Current advances in the field have focussed on the need for more precise neuroimaging biomarkers. Here we present a selective overview of precision neuroimaging biomarkers for BD, focussing on personalized metrics and novel neuroimaging methods aiming to provide mechanistic insights into the brain alterations associated with BD. The evidence presented covers (a) machine learning techniques applied to neuroimaging data to differentiate patients with BD from healthy individuals or other clinical groups; (b) the 'brain-age-gap-estimation (brainAGE), which is an individualized measure of brain health; (c) diffusional kurtosis imaging (DKI), neurite orientation dispersion and density imaging (NODDI) and Positron Emission Tomography (PET) techniques that open new opportunities to measure microstructural changes in neurite/synaptic integrity and function.
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Affiliation(s)
- Delfina Janiri
- Department of Psychiatry, Fondazione Policlinico Universitario 'Agostino Gemelli' IRCCS, Roma, Italy.,Department of Psychiatry and Neurology, Sapienza University of Rome, Roma, Italy
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY, USA.,Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver British Columbia, Canada
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McDermott TJ, Berg H, Touthang J, Akeman E, Cannon MJ, Santiago J, Cosgrove KT, Clausen AN, Kirlic N, Smith R, Craske MG, Abelson JL, Paulus MP, Aupperle RL. Striatal reactivity during emotion and reward relates to approach-avoidance conflict behaviour and is altered in adults with anxiety or depression. J Psychiatry Neurosci 2022; 47:E311-E322. [PMID: 36223130 PMCID: PMC9448414 DOI: 10.1503/jpn.220083] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 06/24/2022] [Accepted: 06/28/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND We have previously reported activation in reward, salience and executive control regions during functional MRI (fMRI) using an approach-avoidance conflict (AAC) decision-making task with healthy adults. Further investigations into how anxiety and depressive disorders relate to differences in neural responses during AAC can inform their understanding and treatment. We tested the hypothesis that people with anxiety or depression have altered neural activation during AAC. METHODS We compared 118 treatment-seeking adults with anxiety or depression and 58 healthy adults using linear mixed-effects models to examine group-level differences in neural activation (fMRI) during AAC decision-making. Correlational analyses examined relationships between behavioural and neural measures. RESULTS Adults with anxiety or depression had greater striatal engagement when reacting to affective stimuli (p = 0.008, d = 0.31) regardless of valence, and weaker striatal engagement during reward feedback (p = 0.046, d = -0.27) regardless of the presence of monetary reward. They also had blunted amygdala activity during decision-making (p = 0.023, d = -0.32) regardless of the presence of conflict. Across groups, approach behaviour during conflict decision-making was inversely correlated with striatal activation during affective stimuli (p < 0.001, r = -0.28) and positively related to striatal activation during reward feedback (p < 0.001, r = 0.27). LIMITATIONS Our transdiagnostic approach did not allow for comparisons between specific anxiety disorders, and our cross-sectional approach did not allow for causal inference. CONCLUSION Anxiety and depression were associated with altered neural responses to AAC. Findings were consistent with the role of the striatum in action selection and reward responsivity, and they point toward striatal reactivity as a future treatment target. Blunting of amygdala activity in anxiety or depression may indicate a compensatory response to inhibit affective salience and maintain approach.
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Affiliation(s)
- Timothy J McDermott
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - Hannah Berg
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - James Touthang
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - Elisabeth Akeman
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - Mallory J Cannon
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - Jessica Santiago
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - Kelly T Cosgrove
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - Ashley N Clausen
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - Namik Kirlic
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - Ryan Smith
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - Michelle G Craske
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - James L Abelson
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - Martin P Paulus
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
| | - Robin L Aupperle
- From the Laureate Institute for Brain Research, Tulsa, OK (McDermott, Berg, Touthang, Akeman, Cannon, Santiago, Cosgrove, Clausen, Kirlic, Smith, Paulus, Aupperle); the Department of Psychology, University of Tulsa, Tulsa, OK (McDermott, Cosgrove); the Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN (Berg); the Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA (Craske); the Department of Psychiatry, University of Michigan, Ann Arbor, MI (Abelson); the Department of Community Medicine, University of Tulsa, Tulsa, OK (Paulus, Aupperle)
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Linking cerebellar functional gradients to transdiagnostic behavioral dimensions of psychopathology. Neuroimage Clin 2022; 36:103176. [PMID: 36063759 PMCID: PMC9450332 DOI: 10.1016/j.nicl.2022.103176] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 08/24/2022] [Accepted: 08/27/2022] [Indexed: 12/14/2022]
Abstract
High co-morbidity and substantial overlap across psychiatric disorders encourage a transition in psychiatry research from categorical to dimensional approaches that integrate neuroscience and psychopathology. Converging evidence suggests that the cerebellum is involved in a wide range of cognitive functions and mental disorders. An important question thus centers on the extent to which cerebellar function can be linked to transdiagnostic dimensions of psychopathology. To address this question, we used a multivariate data-driven statistical technique (partial least squares) to identify latent dimensions linking human cerebellar connectome as assessed by functional MRI to a large set of clinical, cognitive, and trait measures across 198 participants, including healthy controls (n = 92) as well as patients diagnosed with attention-deficit/hyperactivity disorder (n = 35), bipolar disorder (n = 36), and schizophrenia (n = 35). Macroscale spatial gradients of connectivity at voxel level were used to characterize cerebellar connectome properties, which provide a low-dimensional representation of cerebellar connectivity, i.e., a sensorimotor-supramodal hierarchical organization. This multivariate analysis revealed significant correlated patterns of cerebellar connectivity gradients and behavioral measures that could be represented into four latent dimensions: general psychopathology, impulsivity and mood, internalizing symptoms and executive dysfunction. Each dimension was associated with a unique spatial pattern of cerebellar connectivity gradients across all participants. Multiple control analyses and 10-fold cross-validation confirmed the robustness and generalizability of the yielded four dimensions. These findings highlight the relevance of cerebellar connectivity as a necessity for the study and classification of transdiagnostic dimensions of psychopathology and call on researcher to pay more attention to the role of cerebellum in the dimensions of psychopathology, not just within the cerebral cortex.
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Tamm S, Harmer CJ, Schiel J, Holub F, Rutter MK, Spiegelhalder K, Kyle SD. No Association Between Amygdala Responses to Negative Faces and Depressive Symptoms: Cross-Sectional Data from 28,638 Individuals in the UK Biobank Cohort. Am J Psychiatry 2022; 179:509-513. [PMID: 35775158 DOI: 10.1176/appi.ajp.21050466] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Sandra Tamm
- Department of Psychiatry, University of Oxford and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Tamm, Harmer); Department of Clinical Neuroscience, Karolinska Institute, Stockholm (Tamm); Department of Psychiatry and Psychotherapy, University of Freiburg Medical Centre and Faculty of Medicine, University of Freiburg, Freiburg, Germany (Schiel, Holub, Spiegelhalder); Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester and the Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, U.K. (Rutter); Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, U.K. (Kyle)
| | - Catherine J Harmer
- Department of Psychiatry, University of Oxford and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Tamm, Harmer); Department of Clinical Neuroscience, Karolinska Institute, Stockholm (Tamm); Department of Psychiatry and Psychotherapy, University of Freiburg Medical Centre and Faculty of Medicine, University of Freiburg, Freiburg, Germany (Schiel, Holub, Spiegelhalder); Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester and the Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, U.K. (Rutter); Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, U.K. (Kyle)
| | - Julian Schiel
- Department of Psychiatry, University of Oxford and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Tamm, Harmer); Department of Clinical Neuroscience, Karolinska Institute, Stockholm (Tamm); Department of Psychiatry and Psychotherapy, University of Freiburg Medical Centre and Faculty of Medicine, University of Freiburg, Freiburg, Germany (Schiel, Holub, Spiegelhalder); Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester and the Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, U.K. (Rutter); Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, U.K. (Kyle)
| | - Florian Holub
- Department of Psychiatry, University of Oxford and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Tamm, Harmer); Department of Clinical Neuroscience, Karolinska Institute, Stockholm (Tamm); Department of Psychiatry and Psychotherapy, University of Freiburg Medical Centre and Faculty of Medicine, University of Freiburg, Freiburg, Germany (Schiel, Holub, Spiegelhalder); Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester and the Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, U.K. (Rutter); Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, U.K. (Kyle)
| | - Martin K Rutter
- Department of Psychiatry, University of Oxford and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Tamm, Harmer); Department of Clinical Neuroscience, Karolinska Institute, Stockholm (Tamm); Department of Psychiatry and Psychotherapy, University of Freiburg Medical Centre and Faculty of Medicine, University of Freiburg, Freiburg, Germany (Schiel, Holub, Spiegelhalder); Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester and the Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, U.K. (Rutter); Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, U.K. (Kyle)
| | - Kai Spiegelhalder
- Department of Psychiatry, University of Oxford and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Tamm, Harmer); Department of Clinical Neuroscience, Karolinska Institute, Stockholm (Tamm); Department of Psychiatry and Psychotherapy, University of Freiburg Medical Centre and Faculty of Medicine, University of Freiburg, Freiburg, Germany (Schiel, Holub, Spiegelhalder); Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester and the Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, U.K. (Rutter); Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, U.K. (Kyle)
| | - Simon D Kyle
- Department of Psychiatry, University of Oxford and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Tamm, Harmer); Department of Clinical Neuroscience, Karolinska Institute, Stockholm (Tamm); Department of Psychiatry and Psychotherapy, University of Freiburg Medical Centre and Faculty of Medicine, University of Freiburg, Freiburg, Germany (Schiel, Holub, Spiegelhalder); Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester and the Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, U.K. (Rutter); Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, U.K. (Kyle)
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Nawijn L, Dinga R, Aghajani M, van Tol M, van der Wee NJA, Wunder A, Veltman DJ, Penninx BWHJ. Neural correlates of anxious distress in depression: A neuroimaging study of reactivity to emotional faces and resting-state functional connectivity. Depress Anxiety 2022; 39:573-585. [PMID: 35536093 PMCID: PMC9543619 DOI: 10.1002/da.23264] [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: 09/03/2021] [Revised: 04/12/2022] [Accepted: 04/16/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Comorbid anxiety disorders and anxious distress are highly prevalent in major depressive disorder (MDD). The presence of the DSM-5 anxious distress specifier (ADS) has been associated with worse treatment outcomes and chronic disease course. However, little is known about the neurobiological correlates of anxious distress in MDD. METHODS We probed the relation between the DSM-5 ADS and task-related reactivity to emotional faces, as well as resting-state functional connectivity patterns of intrinsic salience and basal ganglia networks in unmedicated MDD patients with (MDD/ADS+, N = 24) and without ADS (MDD/ADS-, N = 48) and healthy controls (HC, N = 59). Both categorical and dimensional measures of ADS were investigated. RESULTS MDD/ADS+ patients had higher left amygdala responses to emotional faces compared to MDD/ADS- patients (p = .015)-part of a larger striato-limbic cluster. MDD/ADS+ did not differ from MDD/ADS- or controls in resting-state functional connectivity of the salience or basal ganglia networks. CONCLUSIONS Current findings suggest that amygdala and striato-limbic hyperactivity to emotional faces may be a neurobiological hallmark specific to MDD with anxious distress, relative to MDD without anxious distress. This may provide preliminary indications of the underlying mechanisms of anxious distress in depression, and underline the importance to account for heterogeneity in depression research.
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Affiliation(s)
- Laura Nawijn
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Location VUmcVrije Universiteit AmsterdamAmsterdamThe Netherlands,Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Location Academic Medical CenterUniversity of AmsterdamAmsterdamThe Netherlands
| | - Richard Dinga
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Location VUmcVrije Universiteit AmsterdamAmsterdamThe Netherlands,Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Moji Aghajani
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Location VUmcVrije Universiteit AmsterdamAmsterdamThe Netherlands,Section Forensic Family & Youth Care, Institute of Education and Child StudiesLeiden UniversityLeidenThe Netherlands
| | - Marie‐José van Tol
- Department of Biomedical Sciences of Cells and SystemsUniversity Medical Center Groningen, Cognitive Neuroscience CenterGroningenThe Netherlands
| | | | - Andreas Wunder
- Boehringer Ingelheim Pharma GmbH & Co. KG, Translational Medicine and Clinical PharmacologyBiberach an der RissGermany
| | - Dick J. Veltman
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Location VUmcVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Brenda W. H. J. Penninx
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Location VUmcVrije Universiteit AmsterdamAmsterdamThe Netherlands
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36
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Affiliation(s)
- Shannon E. Grogans
- Department of Psychology, University of Maryland, College Park, MD 20742 USA
| | - Andrew S. Fox
- Department of Psychology, University of California, Davis, CA 95616 USA,California National Primate Research Center, University of California, Davis, CA 95616 USA
| | - Alexander J. Shackman
- Department of Psychology, University of Maryland, College Park, MD 20742 USA.,Department of Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20742 USA.,Maryland Neuroimaging Center, University of Maryland, College Park, MD 20742 USA
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37
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Sydnor VJ, Cieslak M, Duprat R, Deluisi J, Flounders MW, Long H, Scully M, Balderston NL, Sheline YI, Bassett DS, Satterthwaite TD, Oathes DJ. Cortical-subcortical structural connections support transcranial magnetic stimulation engagement of the amygdala. SCIENCE ADVANCES 2022; 8:eabn5803. [PMID: 35731882 PMCID: PMC9217085 DOI: 10.1126/sciadv.abn5803] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 05/04/2022] [Indexed: 05/31/2023]
Abstract
The amygdala processes valenced stimuli, influences emotion, and exhibits aberrant activity across anxiety disorders, depression, and PTSD. Interventions modulating amygdala activity hold promise as transdiagnostic psychiatric treatments. In 45 healthy participants, we investigated whether transcranial magnetic stimulation (TMS) elicits indirect changes in amygdala activity when applied to ventrolateral prefrontal cortex (vlPFC), a region important for emotion regulation. Harnessing in-scanner interleaved TMS/functional MRI (fMRI), we reveal that vlPFC neurostimulation evoked acute and focal modulations of amygdala fMRI BOLD signal. Larger TMS-evoked changes in the amygdala were associated with higher fiber density in a vlPFC-amygdala white matter pathway when stimulating vlPFC but not an anatomical control, suggesting this pathway facilitated stimulation-induced communication between cortex and subcortex. This work provides evidence of amygdala engagement by TMS, highlighting stimulation of vlPFC-amygdala circuits as a candidate treatment for transdiagnostic psychopathology. More broadly, it indicates that targeting cortical-subcortical structural connections may enhance the impact of TMS on subcortical neural activity and, by extension, subcortex-subserved behaviors.
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Affiliation(s)
- Valerie J. Sydnor
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew Cieslak
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Romain Duprat
- Center for Neuromodulation in Depression and Stress (CNDS), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Joseph Deluisi
- Center for Neuromodulation in Depression and Stress (CNDS), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew W. Flounders
- Center for Neuromodulation in Depression and Stress (CNDS), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hannah Long
- Center for Neuromodulation in Depression and Stress (CNDS), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Morgan Scully
- Center for Neuromodulation in Depression and Stress (CNDS), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nicholas L. Balderston
- Center for Neuromodulation in Depression and Stress (CNDS), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yvette I. Sheline
- Center for Neuromodulation in Depression and Stress (CNDS), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Dani S. Bassett
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Physics and Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Santa Fe Institute, Santa Fe, NM 87501, USA
| | - Theodore D. Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Desmond J. Oathes
- Center for Neuromodulation in Depression and Stress (CNDS), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Penn Brain Science, Translation, Innovation, and Modulation Center (brainSTIM), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Pan N, Wang S, Qin K, Li L, Chen Y, Zhang X, Lai H, Suo X, Long Y, Yu Y, Ji S, Radua J, Sweeney JA, Gong Q. Common and Distinct Neural Patterns of Attention-Deficit/Hyperactivity Disorder and Borderline Personality Disorder: A Multimodal Functional and Structural Meta-analysis. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022:S2451-9022(22)00147-1. [PMID: 35714858 DOI: 10.1016/j.bpsc.2022.06.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 06/02/2022] [Accepted: 06/03/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) and borderline personality disorder (BPD) have partially overlapping symptom profiles and are highly comorbid in adults. However, whether the behavioral similarities correspond to shared neurobiological substrates is not known. METHODS An overlapping meta-analysis of 58 ADHD and 66 BPD whole-brain articles incorporating observations from 3401 adult patients and 3238 healthy participants was performed by seed-based d mapping. Brain maps were subjected to meta-analytic connectivity modeling and data-driven functional decoding analyses to identify associated neural circuit alterations and relations to behavioral dimensions. RESULTS Both groups exhibited hypoactivated abnormalities in the left inferior parietal lobule, and altered clusters of the bilateral superior temporal gyrus were disjunctive in ADHD and BPD. No overlapping structural abnormalities were found. Multimodal alterations of ADHD were located in the right putamen and of BPD in the left orbitofrontal cortex. CONCLUSIONS The transdiagnostic neural bases of ADHD and BPD in temporoparietal circuitry may underlie overlapping problems of behavioral control, while disorder-specific substrates in frontostriatal circuitry may account for their distinguishing features in motor and emotion domains, respectively.
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Affiliation(s)
- Nanfang Pan
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Song Wang
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China.
| | - Kun Qin
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Lei Li
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Ying Chen
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xun Zhang
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Han Lai
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xueling Suo
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Yajing Long
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Yifan Yu
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Shiyu Ji
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - John A Sweeney
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, China.
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Zhukovsky P, Wainberg M, Milic M, Tripathy SJ, Mulsant BH, Felsky D, Voineskos AN. Multiscale neural signatures of major depressive, anxiety, and stress-related disorders. Proc Natl Acad Sci U S A 2022; 119:e2204433119. [PMID: 35648832 PMCID: PMC9191681 DOI: 10.1073/pnas.2204433119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 04/15/2022] [Indexed: 11/21/2022] Open
Abstract
The extent of shared and distinct neural mechanisms underlying major depressive disorder (MDD), anxiety, and stress-related disorders is still unclear. We compared the neural signatures of these disorders in 5,405 UK Biobank patients and 21,727 healthy controls. We found the greatest case–control differences in resting-state functional connectivity and cortical thickness in MDD, followed by anxiety and stress-related disorders. Neural signatures for MDD and anxiety disorders were highly concordant, whereas stress-related disorders showed a distinct pattern. Controlling for cross-disorder genetic risk somewhat decreased the similarity between functional neural signatures of stress-related disorders and both MDD and anxiety disorders. Among cases and healthy controls, reduced within-network and increased between-network frontoparietal and default mode connectivity were associated with poorer cognitive performance (processing speed, attention, associative learning, and fluid intelligence). These results provide evidence for distinct neural circuit function impairments in MDD and anxiety disorders compared to stress disorders, yet cognitive impairment appears unrelated to diagnosis and varies with circuit function.
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Affiliation(s)
- Peter Zhukovsky
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
| | - Michael Wainberg
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
| | - Milos Milic
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
| | - Shreejoy J. Tripathy
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
- Department of Physiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Benoit H. Mulsant
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Daniel Felsky
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Aristotle N. Voineskos
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
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Fermin ASR, Friston K, Yamawaki S. An insula hierarchical network architecture for active interoceptive inference. ROYAL SOCIETY OPEN SCIENCE 2022; 9:220226. [PMID: 35774133 PMCID: PMC9240682 DOI: 10.1098/rsos.220226] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/09/2022] [Indexed: 05/05/2023]
Abstract
In the brain, the insular cortex receives a vast amount of interoceptive information, ascending through deep brain structures, from multiple visceral organs. The unique hierarchical and modular architecture of the insula suggests specialization for processing interoceptive afferents. Yet, the biological significance of the insula's neuroanatomical architecture, in relation to deep brain structures, remains obscure. In this opinion piece, we propose the Insula Hierarchical Modular Adaptive Interoception Control (IMAC) model to suggest that insula modules (granular, dysgranular and agranular), forming parallel networks with the prefrontal cortex and striatum, are specialized to form higher order interoceptive representations. These interoceptive representations are recruited in a context-dependent manner to support habitual, model-based and exploratory control of visceral organs and physiological processes. We discuss how insula interoceptive representations may give rise to conscious feelings that best explain lower order deep brain interoceptive representations, and how the insula may serve to defend the body and mind against pathological depression.
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Affiliation(s)
- Alan S. R. Fermin
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Karl Friston
- The Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, England
| | - Shigeto Yamawaki
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan
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Peng W, Hao Q, Gao H, Wang Y, Wang J, Tu Y, Yu S, Li H, Zhu T. Functional Neural Alterations in Pathological Internet Use: A Meta-Analysis of Neuroimaging Studies. Front Neurol 2022; 13:841514. [PMID: 35518207 PMCID: PMC9062178 DOI: 10.3389/fneur.2022.841514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/28/2022] [Indexed: 11/24/2022] Open
Abstract
Previous resting-state functional MRI (fMRI) studies found spontaneous neural activity in the brains of Pathological Internet Use (PIU) subjects. However, the findings were inconsistent in studies using different neuroimaging analyses. This meta-analytic study aimed to identify a common pattern of altered brain activity from different studies. Resting-state fMRI studies, based on whole-brain analysis methods published before July 1, 2021, were searched in multiple databases (PubMed, EMBASE, MEDLINE, and Web of Science). A voxel-based signed differential mapping (SDM) method was used to clarify brain regions, which showed anomalous activity in PIU subjects compared with healthy controls (HCs). Ten eligible publications consisting of 306 PIU subjects and 314 HCs were included in the SDM meta-analysis. Compared with HCs, subjects with PIU showed increased spontaneous neural functional activity in the left temporal pole of the superior temporal cortex, left amygdala, bilateral median cingulate cortex, and right insula. Meanwhile, a decreased spontaneous neural activity was identified in the left dorsolateral superior frontal gyrus and right middle frontal gyrus in the subjects with PIU. These abnormal brain regions are associated with cognitive executive control and emotional regulation. The consistent changes under different functional brain imaging indicators found in our study may provide important targets for the future diagnosis and intervention of PIU. Systematic Review Registration:www.crd.york.ac.uk/PROSPERO, identifier: CRD42021258119.
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Affiliation(s)
- Wei Peng
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qinghong Hao
- School of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Heng Gao
- Medical Quality Control Department, Chengdu Seventh People's Hospital, Chengdu, China
| | - Yang Wang
- College of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China
| | - Jun Wang
- School of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yang Tu
- School of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Siyi Yu
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Hui Li
- School of Preclinical Medicine, Chengdu University, Chengdu, China
| | - Tianmin Zhu
- School of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Lu QY, Towne JM, Lock M, Jiang C, Cheng ZX, Habes M, Zuo XN, Zang YF. Toward coordinate-based cognition dictionaries: A brainmap and neurosynth demo. Neuroscience 2022; 493:109-118. [DOI: 10.1016/j.neuroscience.2022.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 01/09/2022] [Accepted: 02/14/2022] [Indexed: 10/18/2022]
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Ali AM, Hori H, Kim Y, Kunugi H. The Depression Anxiety Stress Scale 8-Items Expresses Robust Psychometric Properties as an Ideal Shorter Version of the Depression Anxiety Stress Scale 21 Among Healthy Respondents From Three Continents. Front Psychol 2022; 13:799769. [PMID: 35496141 PMCID: PMC9044488 DOI: 10.3389/fpsyg.2022.799769] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 03/03/2022] [Indexed: 01/09/2023] Open
Abstract
To examine the cultural limitations and implications in the applicability of the Depression Anxiety Stress Scale 8-items (DASS-8)-a shortened version of the DASS-21 recently introduced in an Arab sample-this study evaluated its psychometric properties, including measurement invariance, among healthy subjects from the United States, Australia, and Ghana. Confirmatory factor analysis revealed good fit of the DASS-8 relative to a 12-item version (DASS-12). Both the DASS-8 and the DASS-12 were invariant at all levels across genders, employment status, and students vs. non-students. The DASS-8/DASS-12 also expressed invariance at the configural and metric levels across all countries, albeit scalar invariance was not maintained due to misspecification of the factor loadings in the Ghanian sample. Mann-Whitney U test revealed significantly lower levels of mental symptomatology on the DASS measures among Ghanian students than in English-speaking respondents (both students and non-students). The DASS-8 expressed excellent internal consistency (coefficient alpha = 0.89), good convergent validity-noted by high values of item-total correlations (r = 0.87 to 0.88), good predictive validity-indicated by significantly strong correlation with the DASS-21 and its subscales (r = 0.95 to 0.80), and adequate discriminant validity-indicated by heterotrait-monotrait ratio of correlations <0.85. The DASS-8 correlated with the Internet Gaming Disorder-9, the Adult attention-deficit/hyperactivity disorder Self-Report Scale, and the Individualism and Collectivism Scale/Culture Orientation Scale at the same level as the DASS-21 and the DASS-12, denoting its adequate criterion validity. The DASS-8 can be used as a brief alternative to the DASS-21 to screen for mental symptomatology in English-speaking and African cultures. However, the same scores on the DASS-8 and the DASS-12 may not always indicate the same level of symptom severity in subjects from different countries. Further inter-cultural evaluations of the DASS-8 are needed.
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Affiliation(s)
- Amira Mohammed Ali
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
- Department of Psychiatric Nursing and Mental Health, Faculty of Nursing, Alexandria University, Alexandria, Egypt
| | - Hiroaki Hori
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Yoshiharu Kim
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Hiroshi Kunugi
- Department of Psychiatry, Teikyo University School of Medicine, Tokyo, Japan
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
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44
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Dugré JR, Eickhoff SB, Potvin S. Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders. Sci Rep 2022; 12:4909. [PMID: 35318371 PMCID: PMC8941086 DOI: 10.1038/s41598-022-08909-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 03/09/2022] [Indexed: 01/04/2023] Open
Abstract
In the last decades, neuroimaging studies have attempted to unveil the neurobiological markers underlying pediatric psychiatric disorders. Yet, the vast majority of neuroimaging studies still focus on a single nosological category, which limit our understanding of the shared/specific neural correlates between these disorders. Therefore, we aimed to investigate the transdiagnostic neural correlates through a novel and data-driven meta-analytical method. A data-driven meta-analysis was carried out which grouped similar experiments’ topographic map together, irrespectively of nosological categories and task-characteristics. Then, activation likelihood estimation meta-analysis was performed on each group of experiments to extract spatially convergent brain regions. One hundred forty-seven experiments were retrieved (3124 cases compared to 3100 controls): 79 attention-deficit/hyperactivity disorder, 32 conduct/oppositional defiant disorder, 14 anxiety disorders, 22 major depressive disorders. Four significant groups of experiments were observed. Functional characterization suggested that these groups of aberrant brain regions may be implicated internally/externally directed processes, attentional control of affect, somato-motor and visual processes. Furthermore, despite that some differences in rates of studies involving major depressive disorders were noticed, nosological categories were evenly distributed between these four sets of regions. Our results may reflect transdiagnostic neural correlates of pediatric psychiatric disorders, but also underscore the importance of studying pediatric psychiatric disorders simultaneously rather than independently to examine differences between disorders.
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Affiliation(s)
- Jules R Dugré
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, 7331 Hochelaga, Montreal, QC, H1N 3V2, Canada. .,Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, Canada.
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-7), Jülich, Germany.,Institute for Systems Neuroscience, Heinrich Heine University, Düsseldorf, Germany
| | - Stéphane Potvin
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, 7331 Hochelaga, Montreal, QC, H1N 3V2, Canada. .,Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, Canada.
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45
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Genetic influences on central and peripheral nervous system activity during fear conditioning. Transl Psychiatry 2022; 12:95. [PMID: 35260551 PMCID: PMC8904491 DOI: 10.1038/s41398-022-01861-w] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 02/17/2022] [Accepted: 02/18/2022] [Indexed: 11/25/2022] Open
Abstract
Fear conditioning is an evolutionarily conserved type of learning serving as a model for the acquisition of situationally induced anxiety. Brain function supporting fear conditioning may be genetically influenced, which in part could explain genetic susceptibility for anxiety following stress exposure. Using a classical twin design and functional magnetic resonance imaging, we evaluated genetic influences (h2) on brain activity and standard autonomic measures during fear conditioning. We found an additive genetic influence on mean brain activation (h2 = 0.34) and autonomic responses (h2 = 0.24) during fear learning. The experiment also allowed estimation of the genetic influence on brain activation during safety learning (h2 = 0.55). The mean safety, but not fear, related brain activation was genetically correlated with autonomic responses. We conclude that fear and safety learning processes, both involved in anxiety development, are moderately genetically influenced as expressed both in the brain and the body.
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Dougherty DD, Peters AT, Grant JE, Peris TS, Ricketts EJ, Migó M, Chou T, O'Neill J, Stein DJ, Lochner C, Keuthen N, Piacentini J, Deckersbach T. Neural Basis of Associative Learning in Trichotillomania and Skin-Picking Disorder. Behav Brain Res 2022; 425:113801. [PMID: 35183617 PMCID: PMC8940679 DOI: 10.1016/j.bbr.2022.113801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 02/10/2022] [Accepted: 02/12/2022] [Indexed: 11/18/2022]
Abstract
Disorders such as Trichotillomania (TTM) and skin-picking disorder (SPD) are associated with reduced flexibility and increased internally focused attention. While the basal ganglia have been hypothesized to play a key role, the mechanisms underlying learning and flexible accommodation of new information is unclear. Using a Bayesian Learning Model, we evaluated the neural basis of learning and accommodation in individuals with TTM and/or SPD. Participants were 127 individuals with TTM and/or SPD (TTM/SPD) recruited from three sites (age 18-57, 84% female) and 26 healthy controls (HC). During fMRI, participants completed a shape-button associative learning and reversal fMRI task. Above-threshold clusters were identified where the Initial Learning-Reversals BOLD activation contrast differed significantly (p < .05 FDR-corrected) between the two groups. A priori, effects were anticipated in predefined ROIs in bilateral basal ganglia, with exploratory analyses in the hippocampus, dorsolateral prefrontal cortex (dlPFC), and dorsal anterior cingulate cortex (dACC). Relative to HC, individuals with TTM/SPD demonstrated reduced activation during initial learning compared to reversal learning in the right basal ganglia. Similarly, individuals with TTM/SPD demonstrated reduced activation during initial learning compared to reversal learning in several clusters in the dlPFC and dACC compared to HC. Individuals with TTM/SPD may form or reform visual stimulus-motor response associations through different brain mechanisms than healthy controls. The former exhibit altered activation within the basal ganglia, dlPFC, and dACC during an associative learning task compared to controls, reflecting reduced frontal-subcortical activation during initial learning. Future work should determine whether these neural deficits may be restored with targeted treatment.
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Affiliation(s)
- Darin D Dougherty
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, MA, United States.
| | - Amy T Peters
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, MA, United States
| | - Jon E Grant
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States
| | - Tara S Peris
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States
| | - Emily J Ricketts
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States
| | - Marta Migó
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, MA, United States
| | - Tina Chou
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, MA, United States
| | - Joseph O'Neill
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States
| | - Dan J Stein
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Christine Lochner
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Nancy Keuthen
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, MA, United States
| | - John Piacentini
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States
| | - Thilo Deckersbach
- Psychology Program, University of Applied Sciences Europe, Berlin, Germany
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47
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Doucet GE, Hamlin N, West A, Kruse JA, Moser DA, Wilson TW. Multivariate patterns of brain-behavior associations across the adult lifespan. Aging (Albany NY) 2022; 14:161-194. [PMID: 35013005 PMCID: PMC8791210 DOI: 10.18632/aging.203815] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 12/20/2021] [Indexed: 11/25/2022]
Abstract
The nature of brain-behavior covariations with increasing age is poorly understood. In the current study, we used a multivariate approach to investigate the covariation between behavioral-health variables and brain features across adulthood. We recruited healthy adults aged 20–73 years-old (29 younger, mean age = 25.6 years; 30 older, mean age = 62.5 years), and collected structural and functional MRI (s/fMRI) during a resting-state and three tasks. From the sMRI, we extracted cortical thickness and subcortical volumes; from the fMRI, we extracted activation peaks and functional network connectivity (FNC) for each task. We conducted canonical correlation analyses between behavioral-health variables and the sMRI, or the fMRI variables, across all participants. We found significant covariations for both types of neuroimaging phenotypes (ps = 0.0004) across all individuals, with cognitive capacity and age being the largest opposite contributors. We further identified different variables contributing to the models across phenotypes and age groups. Particularly, we found behavior was associated with different neuroimaging patterns between the younger and older groups. Higher cognitive capacity was supported by activation and FNC within the executive networks in the younger adults, while it was supported by the visual networks’ FNC in the older adults. This study highlights how the brain-behavior covariations vary across adulthood and provides further support that cognitive performance relies on regional recruitment that differs between older and younger individuals.
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Affiliation(s)
- Gaelle E Doucet
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA.,Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE 68178, USA
| | - Noah Hamlin
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Anna West
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Jordanna A Kruse
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Dominik A Moser
- Institute of Psychology, University of Bern, Bern, Switzerland.,Child and Adolescent Psychiatry, University Hospital Lausanne, Lausanne, Switzerland
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA.,Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE 68178, USA
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48
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Hu LX, Tang M, Hua W, Ren XQ, Jia YH, Chu JM, Zhang JT, Liu XN. Psychological Disturbances and Their Association with Sleep Disturbance in Patients Admitted for Arrhythmia Diseases. Neuropsychiatr Dis Treat 2022; 18:1739-1750. [PMID: 36000025 PMCID: PMC9393031 DOI: 10.2147/ndt.s370128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 07/21/2022] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES This study aimed to assess the depression and anxiety status and their association with sleep disturbance among one single center Chinese inpatients with arrhythmia and help cardiologists better identify patients who need psychological care. METHODS A cross-sectional survey was conducted among 495 inpatients with arrhythmia treated in Fuwai Hospital from October to December 2019. The psychological status and sleep quality were assessed using the Zung Self-Rating Anxiety Scale (SAS), the Zung Self-Rating Depression Scale (SDS) and the Pittsburgh Sleep Quality Index (PSQI). Multivariate logistic regression was used to identify the potential risk factors for anxiety and depression. RESULTS The mean age of the participants was 52.8 ± 14.4 years, and 58.0% were male. Approximately 18.3% were in an anxious state, and 33.5% were in a depressive state. In multivariate logistic regression, age from 50 to 59 (p = 0.03), unemployment (p = 0.026) and sleep disturbance (p < 0.001) were the risk factors for anxiety status. Cardiac implanted electronic devices (CIEDs) (p = 0.004) and sleep disturbance (p < 0.001) were the risk factors for depression status. A total of 150 patients (30.3%) were categorized as having poor sleep quality (PSQI > 7). The adjusted odds ratio (OR) of having poor sleep quality was 4.30-fold higher in patients with both anxiety and depression (OR: 4.30; 95% confidence interval [CI]: 2.52-7.35); 2.67-fold higher in patients with depression (OR: 2.67; 95% CI: 1.78-4.00); and 3.94-fold higher in patients with anxiety (OR: 3.94; 95% CI: 2.41-6.44). CONCLUSIONS Psychological intervention is critical for Chinese inpatients with arrhythmia, especially for patients aged 50-59, unemployed, or those using CIEDs. Poor sleep quality could be an important risk factor linked to psychological disturbances.
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Affiliation(s)
- Li-Xing Hu
- Center of Arrhythmia, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100037, People's Republic of China
| | - Min Tang
- Center of Arrhythmia, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100037, People's Republic of China
| | - Wei Hua
- Center of Arrhythmia, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100037, People's Republic of China
| | - Xiao-Qing Ren
- Center of Arrhythmia, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100037, People's Republic of China
| | - Yu-He Jia
- Center of Arrhythmia, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100037, People's Republic of China
| | - Jian-Min Chu
- Center of Arrhythmia, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100037, People's Republic of China
| | - Jing-Tao Zhang
- Center of Arrhythmia, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100037, People's Republic of China
| | - Xiao-Ning Liu
- Center of Arrhythmia, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100037, People's Republic of China
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49
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Rajkumar RP. Dissociative Symptoms and Disorders in Patients With Bipolar Disorders: A Scoping Review. Front Psychiatry 2022; 13:925983. [PMID: 35722564 PMCID: PMC9199377 DOI: 10.3389/fpsyt.2022.925983] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 05/03/2022] [Indexed: 12/03/2022] Open
Abstract
Dissociative disorders are an important group of trauma-related disorders associated with significant disability. The co-occurrence of dissociative disorders (DD) and symptoms (DS) in bipolar disorder has been relatively understudied, but there is some evidence that this comorbidity may have significant mechanistic and clinical implications. This paper presents the results of a scoping review of the frequency and correlates of DS and DD in bipolar disorder. Based on the available evidence, DS/DD are more common in bipolar disorder than in healthy controls or in unipolar depression, are related to childhood trauma, and are associated with psychotic symptoms, suicide attempts, and a poorer response to treatment in patients with bipolar disorder. The implications of these findings, and possible mechanistic pathways underlying them, are discussed based on the current literature. Clinicians should be aware of the frequent occurrence of significant DS or DD when treating patients with bipolar disorder. A tentative future research agenda for this field, based on clinical, risk factor-related and neurobiological considerations, is outlined.
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Affiliation(s)
- Ravi Philip Rajkumar
- Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, India
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50
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Haynos AF, Widge AS, Anderson LM, Redish AD. Beyond Description and Deficits: How Computational Psychiatry Can Enhance an Understanding of Decision-Making in Anorexia Nervosa. Curr Psychiatry Rep 2022; 24:77-87. [PMID: 35076888 PMCID: PMC8934594 DOI: 10.1007/s11920-022-01320-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/13/2021] [Indexed: 01/27/2023]
Abstract
PURPOSE OF REVIEW Despite decades of research, knowledge of the mechanisms maintaining anorexia nervosa (AN) remains incomplete and clearly effective treatments elusive. Novel theoretical frameworks are needed to advance mechanistic and treatment research for this disorder. Here, we argue the utility of engaging a novel lens that differs from existing perspectives in psychiatry. Specifically, we argue the necessity of expanding beyond two historically common perspectives: (1) the descriptive perspective: the tendency to define mechanisms on the basis of surface characteristics and (2) the deficit perspective: the tendency to search for mechanisms associated with under-functioning of decision-making abilities and related circuity, rather than problems of over-functioning, in psychiatric disorders. RECENT FINDINGS Computational psychiatry can provide a novel framework for understanding AN because this approach emphasizes the role of computational misalignments (rather than absolute deficits or excesses) between decision-making strategies and environmental demands as the key factors promoting psychiatric illnesses. Informed by this approach, we argue that AN can be understood as a disorder of excess goal pursuit, maintained by over-engagement, rather than disengagement, of executive functioning strategies and circuits. Emerging evidence suggests that this same computational imbalance may constitute an under-investigated phenotype presenting transdiagnostically across psychiatric disorders. A variety of computational models can be used to further elucidate excess goal pursuit in AN. Most traditional psychiatric treatments do not target excess goal pursuit or associated neurocognitive mechanisms. Thus, targeting at the level of computational dysfunction may provide a new avenue for enhancing treatment for AN and related disorders.
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Affiliation(s)
- Ann F. Haynos
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, 2450 Riverside Ave, Minneapolis, MN F 253, USA
| | - Alik S. Widge
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, 2450 Riverside Ave, Minneapolis, MN F 253, USA
| | - Lisa M. Anderson
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, 2450 Riverside Ave, Minneapolis, MN F 253, USA
| | - A. David Redish
- Department of Neuroscience, University of Minnesota, 6-145 Jackson Hall 321 Church St. SE, Minneapolis, MN 55455, USA
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