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Cognitive Biases in Health and Psychiatric Disorders: Neurophysiological Foundations focuses on the neurophysiological basis of biases in attention, interpretation, expectancy and memory. Each chapter includes a review of each specific bias, including both positive and negative information in both healthy individuals and psychiatric populations. This book provides readers with major theories, methods used in investigating biases, brain regions associated with the related bias, and autonomic responses to specific biases. Its end goal is to provide a comprehensive overview of the neural, autonomic and cognitive mechanisms related to processing biases. - Outlines neurophysiological research on diverse types of information processing bias, including attention bias, expectancy bias, interpretation bias, and memory bias - Discusses both normal and pathological forms of each cognitive biases - Provides specific examples on how to translate research on cognitive biases to clinical applications
This Encyclopedia provides a comprehensive overview of individual differences within the domain of personality, with major sub-topics including assessment and research design, taxonomy, biological factors, evolutionary evidence, motivation, cognition and emotion, as well as gender differences, cultural considerations, and personality disorders. It is an up-to-date reference for this increasingly important area and a key resource for those who study intelligence, personality, motivation, aptitude and their variations within members of a group.
This Handbook surveys existing descriptive and experimental approaches to the study of anxiety and related disorders, emphasizing the provision of empirically-guided suggestions for treatment. Based upon the findings from the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), the chapters collected here highlight contemporary approaches to the classification, presentation, etiology, assessment, and treatment of anxiety and related disorders. The collection also considers a biologically-informed framework for the understanding of mental disorders proposed by the National Institute of Mental Health's Research Domain Criteria (RDoC). The RDoC has begun to create a new kind of taxonomy for mental disorders by bringing the power of modern research approaches in genetics, neuroscience, and behavioral science to the problem of mental illness. The framework is a key focus for this book as an authoritative reference for researchers and clinicians.
This book is a comprehensive guide to the psychological processes and empirically supported mechanisms of change that are relevant across diverse presentations of clinical anxiety.
Humans can focus their attention narrowly (e.g., to read this text) or broadly (e.g., to determine which way a large crowd of people are moving). This Element comprehensively considers attentional breadth. Section 1 introduces the concept of attentional breadth, while Section 2 considers measures of attentional breadth. In particular, this section provides a critical discussion of the types of psychometric evidence which should be sought to establish the validity of measures of attentional breadth and reviews the available evidence through this lens. Section 3 considers the visual task performance consequences of attentional breadth, including prescribing several key methodological criteria that studies that manipulate attentional breadth need to meet, as well as a discussion of relevant theories and avenues for future theoretical development. Section 4 discusses the utility of the exogenous-endogenous distinction from covert shifts of attention for understanding the performance consequences of attentional breadth. Finally, Section 5 provides concluding remarks.
Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.
Depression is one of the most common mental health disorders, affecting 14% of all people at some point in their lifetime. Women are twice as likely to become depressed as men, but beyond gender there are a variety of risk factors that influence the prevalence and likelihood of experiencing depression. Risk Factors in Depression consolidates research findings on risk factors into one source, for ease of reference for both researchers and clinicians in practice. The book divides risk factors into biological, cognitive, and social risk factors. This provides researchers with the opportunity to examine the interface among different theoretical perspectives and variables, and to look for the opportunity for more complex and explanatory models of depression. - Allows reader to compare and contrast the relative states of development of different models and their databases - Examines the predictive power of these models related to various phases of clinical depression, including onset, maintenance, and relapse - Provides an examination of the therapeutic implications of comprehensive and integrative models of depression
How to break the circle of 'never good enough' Striving for something can be a healthy and positive attribute; it's good to aim high. But sometimes whatever we do just isn't good enough; we want to be too perfect and start setting unrealistic goals. Such high levels of perfectionism, often driven by low self-esteem, can turn against success and develop into unhealthy obsession, triggering serious mental-health problems, such as anxiety, depression and eating disorders. Cognitive behavioural therapy (CBT), on which this self-help book is based, has been found to be a highly effective treatment and provides relief from that disabling sense of not being good enough. In this essential self-help guide, you will learn: - How clinical perfectionism manifests itself - Effective coping strategies with invaluable guidance on how to avoid future relapse OVERCOMING self-help guides use clinically-proven techniques to treat long-standing and disabling conditions, both psychological and physical. Many guides in the Overcoming series are recommended under the Reading Well Books on Prescription scheme. Series Editor: Professor Peter Cooper
This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)