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Anxiety Disorders by Massachusetts General Hospital

Guest Editors: Tristan Barako, Jerrold Rosenbaum Volume 32, Issue 6, 2019 We have multiple modalities and approaches for thinking about anxiety and its therapeutics. Our treatment approaches and understandings vary from the psychological and cognitive to the biological and pharmacological. We also assert that the underlying neurobiology, mechanisms and evolutionary psychology of anxiety are the best understood of any form of psychiatric disorder. Yet while most patients who suffer anxiety disorders can be helped, few are cured. Furthermore, while anxiety research is robust, as evidenced in this issue, the therapies and therapeutic outcomes of today look very much the same as 30 years ago. The most dramatically and acutely effective of pharmacological anxiolytic treatments are limited by challenges of tachyphylaxis, diversion and abuse, and withdrawal syndromes when discontinued. Therefore, in short, there remains work to be done and new approaches to be determined to better address this form of human suffering.
Editorial: New directions in anxiety disorder treatment Rosenbaum J doi: 10.1136/gpsych-2019-100166 Forum: Massachusetts General Hospital and the Shanghai Mental Health Center: the past, present and future of a psychiatric research partnership Barako T, Li C, Yeung A. doi: 10.1136/gpsych-2019-100157 Highlights: In This Issue LeBlanc NJ, Marques L doi: 10.1136/gpsych-2019-100160 Case Report: Efficacy and safety of repetitive transcranial magnetic stimulation for generalised anxiety disorder: A meta-analysis Cui H, Jiang L, Wei Y, et al doi: 10.1136/gpsych-2019-100051 Case Report: Assessing vulnerability to panic: a systematic review of psychological and physiological responses to biological challenges as prospective predictors of panic attacks and panic disorder Robinaugh DJ, Ward MJ, Toner ER, et al doi: 10.1136/gpsych-2019-100140 Case Report: Pharmacotherapy of anxiety disorders in the 21st century: A call for novel approaches Bui E, King F, Melaragno A doi: 10.1136/gpsych-2019-100136
Case Report: Extending the neurocircuitry of behavioural inhibition: a role for the bed nucleus of the stria terminalis in risk for anxiety disorders Clauss J doi: 10.1136/gpsych-2019-100137 Case Report: Very early family-based intervention for anxiety: two case studies with toddlers Hirshfeld-Becker DR, Henin A, Rapoport SJ, et al doi: 10.1136/gpsych-2019-100156 Original Research: Client-level predictors of treatment engagement, outcome and dropout: moving beyond demographics Youn S, Mackintosh M, Wiltsey Stirman S, et al doi: 10.1136/gpsych-2019-100153 Original Research: Influence of intranasal oxytocin on fear consolidation in healthy humans Hoge E, Bui E, Rosencrans P, et al doi: 10.1136/gpsych-2019-100131 Research methods in psychiatry: Anxiety Symptoms Questionnaire (ASQ): development and validation Baker A, Simon N, Keshaviah A, et al doi: 10.1136/gpsych-2019-100144 Research methods in psychiatry: Towards a precision psychiatry approach to anxiety disorders with ecological momentary assessment: the example of panic disorder Robinaugh DJ, Brown ML, Losiewicz OM, et al doi: 10.1136/gpsych-2019-100161

Biostatistical Methods in Psychiatry (I)

Guest editors: Xinlian Zhang, Xin M. Tu, and Changyong Feng 2018-2022 We are taking the opportunity of this special issue to provide a summary of the biostatistical articles published in General Psychiatry (formerly Shanghai Archives of Psychiatry) between 2018-2022. To help readers navigate the collection, we have grouped the articles into three categories:
  1. Study Designs and Power Analysis: As longitudinal designs have become the norm for most randomized clinical studies, power analysis for such designs has become increasingly complex. Some of the articles focus on study designs and power analysis, which address issues related to applying longitudinal designs, managing missing data, and estimating sample size.
  2. Data Analysis: Around 10 articles are devoted to statistical issues and methods for data analysis, covering various popular statistical models. Some of the articles also challenge the status quo and redefine our understanding of certain issues, such as the validity of forward selection and post-hoc power analysis.
  3. Machine Learning Methods: As the field of biostatistics and statistics increasingly adopts, adapts, extends, and integrates machine learning methods to address data-analytic issues in biomedical and psychosocial research, two of the more recent biostatistical articles provide introductions to machine learning methods. Future biostatistical articles will focus on the exposition and application of machine learning methods in mental health and related research areas.
Advanced machine learning methods in psychiatry: an introduction Wu T, Zhou Z, Wang H, et al 10.1136/gpsych-2020-100197 Analysis of correlated data with feedback for time-dependent covariates in psychiatry research Vazquez Arreola E, Wilson JR, Chen D. 10.1136/gpsych-2020-100263 Assessing the Accuracy of Diagnostic Tests Li F, He H 10.11919/j.issn.1002-0829.218052 Guidance for use of weights: an analysis of different types of weights and their implications when using SAS PROCs Richardson S, Lin T, Li Y, et al 10.1136/gpsych-2018-100038 Homoscedasticity: an overlooked critical assumption for linear regression Yang K, Tu J, Chen T 10.1136/gpsych-2019-100148 Machine learning methods in psychiatry: a brief introduction Zhou Z, Wu T, Wang B, et al 10.1136/gpsych-2019-10017 Partial least squares regression and principal component analysis: similarity and differences between two popular variable reduction approaches Liu C, Zhang X, Nguyen TT, et al 10.1136/gpsych-2021-100662 Post hoc power analysis: is it an informative and meaningful analysis? Zhang Y, Hedo R, Rivera A, et al 10.1136/gpsych-2019-100069
Relations among sensitivity, specificity and predictive values of medical tests based on biomarkers Wang H, Wang B, Zhang X, et al 10.1136/gpsych-2020-100453 Relationship between Omnibus and Post-hoc Tests: An Investigation of performance of the F test in ANOVA Chen T, Xu M, Tu J, et al 10.11919/j.issn.1002-0829.218014 Review of current controversial issues in clinical trials Chow S, Chow SS, Pong A. 10.1136/gpsych-2021-100540 Sample sizes based on three popular indices of risks Wang H, Wang B, Tu XM, et al 10.1136/gpsych-2018-100011 Simpson’s Paradox: Examples Wang B, Wu P, Kwan B, et al 10.11919/j.issn.1002-0829.218026 Tests for paired count outcomes Proudfoot JA, Lin T, Wang B, et al 10.1136/gpsych-2018-100004 The p-value and model specification in statistics Wang B, Zhou Z, Wang H, et al 10.1136/gpsych-2019-100081 Inconsistency between overall and subgroup analyses Wang H, Wang B, Tu XM, et al doi: 10.1136/gpsych-2021-100732

Clinical High Risk of Psychosis

Guest Editor: Jijun Wang, William S Stone Volume 35, Issue 2, 2022 Despite considerable gains in our knowledge about risk factors and mechanisms involved in the development of psychosis, we do not yet know enough to predict who will become ill. However, we know that many individuals experience a period of clinical high risk (CHR) for psychosis (also called a prodrome for psychosis) that precedes the first psychotic episode. These CHR studies provide new opportunities to improve our understanding of schizophrenia and to develop new interventions to prevent psychosis. Among these, the Shanghai-At-Risk-for-Psychosis (SHARP) study in Shanghai, China, is one of the largest single-site CHR studies in the world, which reduces heterogeneity due to site differences. In this issue, General Psychiatry has published several papers submitted by young researchers from the SHARP team, associated mainly with novel biomarkers or state-of-the-art research techniques employed in the study of CHR subjects.

Psychosomatic Medicine

Guest Editor: Yonggui Yuan, Zheng Lu, Wenhao Jiang Volume 35 Issue 5, 2022 - Volume 36 Issue 1, 2023 Psychosomatic medicine is a branch of medicine that studies psychosomatic interactions. It focuses on etiology, pathology, diagnosis, treatment and prevention of psychosomatic diseases. Due to long-term neglect of psychosomatic diseases in typical medicine practice, the difficulties and errors in diagnosis for psychosomatic diseases have formed a great burden on patients and their families, as well as hospitals and society. In addition, psychosomatic medicine is widely intersected with disciplines like psychiatry, medical psychology, behavioral medicine, social medicine, biology, neurochemistry and immunology. As interdisciplinary research is highly advocated nowadays, the development of psychosomatic medicine is becoming more and more important and urgent.
Original Research: Alteration of faecal microbiota balance related to long-term deep meditation Sun Y, Ju P, Xue T, et al doi: 10.1136/gpsych-2022-100893 Original Research: Intermediary roles of prospective memory and retrospective memory in the comorbidity of depression and pain Gao H, Xia Q, Zhang X, et al doi: 10.1136/gpsych-2022-100895 Original Research: Social relationship satisfaction and accumulation of chronic conditions and multimorbidity: a national cohort of Australian women Xu X, Mishra GD, Holt-Lunstad J, et al doi: 10.1136/gpsych-2022-100925 Original Research: Resilience mediates the association between alexithymia and stress in Chinese medical students during the COVID-19 pandemic  Zhang Y, Wang T, Jin S, et al doi: 10.1136/gpsych-2022-100926 Editorial: Special issue for psychosomatic medicine Jiang W, Lu Z, Yuan Y doi: 10.1136/gpsych-2022-100961 Original Research: Common susceptibility variants of KDR and IGF-1R are associated with poststroke depression in the Chinese population Yue Y, You L, Zhao F, et al doi: 10.1136/gpsych-2022-100928 Original Research: TNF-α, IL-6 and hsCRP in patients with melancholic, atypical and anxious depression: an antibody array analysis related to somatic symptoms Liu H, Wu X, Wang Y, et al doi: 10.1136/gpsych-2022-100844 Editorial: Special issue for psychosomatic medicine Jiang W, Lu Z, Yuan Y doi: 10.1136/gpsych-2022-100961 Original Research: Handgrip strength and the risk of major depressive disorder: a two-sample Mendelian randomisation study Li N, Zhou R, Zhang B doi: 10.1136/gpsych-2022-100807 Original Research: Body mass index and mortality in patients with schizophrenia spectrum disorders: a cohort study in a South London catchment area Chen J, Perera G, Shetty H, et al doi: 10.1136/gpsych-2022-100819 Original Research: Echoes of the past: prevalence and correlates of PTSD among formerly abducted youths in northern Uganda: findings from the WAYS study Amone-P'Olak K, Omech B, Kakinda AI, et al doi: 10.1136/gpsych-2022-100840 Review: Evolution and significance of the psychosomatic model in gastroenterology Zhang Q, Ding L, Cao J doi: 10.1136/gpsych-2022-100856
Original Research: Phenomenology, disability and sexual functioning in female Dhat syndrome: a study of tertiary care gynaecology outpatients Joshi S, Tripathi A, Agarwal S, et al doi: 10.1136/gpsych-2022-100863 Review: Cancer-related psychosocial challenges Wang Y, Feng W doi: 10.1136/gpsych-2022-100871 Original Research: Investigating genetic causal relationships between blood pressure and anxiety, depressive symptoms, neuroticism and subjective well-being Cai L, Liu Y, He L doi: 10.1136/gpsych-2022-100877 Original Research: Proactive psychological and psychiatric support of patients with chronic non-communicable diseases in a randomised trial: a Ukrainian experience Khaustova OO, Markova MV, Driuchenko MO, et al doi: 10.1136/gpsych-2022-100881 Review: The mental health of China and Pakistan, mental health laws and COVID-19 mental health policies: a comparative review Shah SM, Sun T, Xu W, et al doi: 10.1136/gpsych-2022-100885 Commentary: Disturbed sensitive equilibrium led by stress-induced inflammation in psychiatric illness Zhao H, Jin R, Hu J doi: 10.1136/gpsych-2022-100910 Commentary: Psychosomatic medicine and consultation–liaison psychiatry around the world: finding unity in the biopsychosocial model Lee HB doi: 10.1136/gpsych-2022-100913 Original Research: Impact of depression on the quality of sleep and immune functions in patients with coronary artery disease Cai L, Wei L, Yao J, et al doi: 10.1136/gpsych-2022-100918 Research methods in psychiatry: Adaptation and validation of the Chinese version of the Central Sensitisation Inventory in patients with chronic pain Liang D, Yu X, Guo X, et al doi: 10.1136/gpsych-2022-100919 Review: Rapid-acting antidepressants targeting modulation of the glutamatergic system: clinical and preclinical evidence and mechanism Wang S, Tang S, Huang J, et al doi: 10.1136/gpsych-2022-100922 Original Research: Functional connectivity of the default mode network subsystems in patients with major depressive episodes with mixed features Liu R, Qi H, Guan L, et al doi: 10.1136/gpsych-2022-100929

Cognition and Brain Modulation

Guest Editor: Ti-Fei Yuan, Kai Wang, Tatia Lee, Hamed Ekhtiari, Di Zhao (to be determined) An enduring goal of translational medicine is to develop technologies that improve cognition in aging and clinical populations. Researchers have identified brain circuits and networks that contribute to cognition; numerous studies have indicated various methods of invasive and non-invasive brain stimulation that are widely used to regulate sensory, cognitive, and motor functions both within local brain networks and across large networks. This special issue aims to present cutting-edge studies in psychology, neuroscience and psychiatry, and innovative investigations to understand neural mechanisms, setting the groundwork for the development of personalized neuromodulation of cognitive functions.
These article collections highlight articles published in General Psychiaty on the topic of Anxiety, Mood Disorders/Depression and Addiction. To submit your own manuscript on any of the topics published by General Psychiatry, please visit the Instructions for Authors page for more information.