Examines the psychoanalytic view of the self and discusses the impact of analysis on a patient's psychological life

Building upon 50 years of clinical experience, Fred Busch addresses a central question facing all psychoanalysts: What is essential to a psychoanalytic curative process, and what are the methods of working that can bring this about? This book investigates the analytic relationship as a process of giving patients the freedom to think the unthinkable (to build representations) and change repeated patterns of action into the possibility of reflection. This entails careful examination of central psychoanalytic concepts such as transference, resistances, and the ethics of countertransference as a guide to a patient’s unconscious, in addition to newer ideas, such as the notion of the analyst as a memory keeper of patients’ lost objects. In its final part, the book presents observations on how analysts function as part of analytic organizations, and the various roles they take on to develop an “analytic identity”. Continuing decades of significant theoretical work on clinical concepts, this book offers a unique perspective on how psychoanalysts and psychotherapists can work effectively to achieve the best possible outcomes for their patients.

The Austro-American psychoanalyst Heinz Kohut was one of the foremost leaders in his field and developed the school of self-psychology, which sets aside the Freudian explanations for behavior and looks instead at self/object relationships and empathy in order to shed light on human behavior. In How Does Analysis Cure? Kohut presents the theoretical framework for self-psychology, and carefully lays out how the self develops over the course of time. Kohut also specifically defines healthy and unhealthy cases of Oedipal complexes and narcissism, while investigating the nature of analysis itself as treatment for pathologies. This in-depth examination of “the talking cure” explores the lesser studied phenomena of psychoanalysis, including when it is beneficial for analyses to be left unfinished, and the changing definition of “normal.” An important work for working psychoanalysts, this book is important not only for psychologists, but also for anyone interested in the complex inner workings of the human psyche.

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Elizabeth Severn, known as "R.N." in Sandor Ferenczi’s Clinical Diary, was Ferenczi’s analysand for eight years, the patient with whom he conducted his controversial experiment in mutual analysis, and a psychoanalyst in her own right who had a transformative influence on his work. The Discovery of the Self is the distillation of that experience and allows us to hear the voice of one of the most important patients in the history of psychoanalysis. However, Freud branded Severn Ferenczi’s "evil genius" and her name does not appear in Ernest Jones’s biography, so she has remained largely unknown until now. This book is a reissue of Severn’s landmark work of 1933, together with an introduction by Peter L. Rudnytsky that sets out the unrecognized importance of her thinking both for the development of psychoanalysis and for contemporary theory. Inspired by the realization that Severn has embedded disguised case histories both of herself and of Ferenczi, as well as of her daughter Margaret, Rudnytsky shows how The Discovery of the Self contains "the other side of the story" of mutual analysis and is thus an indispensable companion volume to the Clinical Diary. A full partner in Ferenczi’s rehabilitation of trauma theory and champion of the view that the analyst must participate in the patient’s reliving of past experiences, Severn emerges as the most profound conduit for Ferenczi’s legacy in the United States, if not in the entire world. Lacking any institutional credentials and once completely marginalized, Elizabeth Severn can at long last be given her due as a formidable psychoanalyst. Newly available for the first time in more than eighty years, The Discovery of the Self is simultaneously an engaging introduction to psychotherapy that will appeal to general readers as well as a sophisticated text to be savored by psychoanalytic scholars and clinicians as a "prequel" to the works of Heinz Kohut and a neglected classic of relational psychoanalysis.

Vaughan, Susan C., M.D. Many therapists and their patients find that the traditional talking therapy still offers the best hope for long-term relief from depression and other psychological ailments. This is especially true for people who worry about the side effects of Prozac and other similar drugs. Now Dr. Susan Vaughan offers compelling evidence, based on new scientific research, that the process of talking with a trained therapist actually alters the way the brain's neurons are connected and effects permanent, positive changes in how we interact with the world. Dr. Vaughan interweaves stories from therapy sessions with cutting-edge research results. She shows how interpreting dreams, free-associating, and attention to childhood experiences have an impact on the structure of our brain. Anyone who, for one reason or another, questions the value of long-term drug therapy will welcome the alternative approach presented here.

An investigative journalist exposes the many holes in today’s bestselling behavioral science, and argues that the trendy, TED-Talk-friendly psychological interventions that are so in vogue at the moment will never be enough to truly address social injustice and inequality. With their viral TED talks, bestselling books, and counter-intuitive remedies for complicated problems, psychologists and other social scientists have become the reigning thinkers of our time. Grit and “power posing” promised to help overcome entrenched inequalities in schools and the workplace; the Army spent hundreds of millions of dollars on a positive psychology intervention geared at preventing PTSD in its combat soldiers; and the implicit association test swept the nation on the strength of the claim that it can reveal unconscious biases and reduce racism in police departments and human resources departments. But what if much of the science underlying these blockbuster ideas is dubious or fallacious? What if Americans’ longstanding preference for simplistic self-help platitudes is exerting a pernicious influence on the way behavioral science is communicated and even funded, leading respected academics and the media astray? In The Quick Fix, Jesse Singal examines the most influential ideas of recent decades and the shaky science that supports them. He begins with the California legislator who introduced self-esteem into classrooms around the country in the 1980s and the Princeton political scientist who warned of an epidemic of youthful “superpredators” in the 1990s. In both cases, a much-touted idea had little basis in reality, but had a massive impact. Turning toward the explosive popularity of 21st-century social psychology, Singal examines the misleading appeal of entertaining lab results and critiques the idea that subtle unconscious cues shape our behavior. As he shows, today’s popular behavioral science emphasizes repairing, improving, and optimizing individuals rather than truly understanding and confronting the larger structural forces that drive social ills. Like Anand Giridharadas’s Winners Take All, The Quick Fix is a fresh and powerful indictment of the thought leaders and influencers who cut corners as they sell the public half-baked solutions to problems that deserve more serious treatment.

Cure Models: Methods, Applications and Implementation is the first book in the last 25 years that provides a comprehensive and systematic introduction to the basics of modern cure models, including estimation, inference, and software. This book is useful for statistical researchers and graduate students, and practitioners in other disciplines to have a thorough review of modern cure model methodology and to seek appropriate cure models in applications. The prerequisites of this book include some basic knowledge of statistical modeling, survival models, and R and SAS for data analysis. The book features real-world examples from clinical trials and population-based studies and a detailed introduction to R packages, SAS macros, and WinBUGS programs to fit some cure models. The main topics covered include the foundation of statistical estimation and inference of cure models for independent and right-censored survival data, cure modeling for multivariate, recurrent-event, and competing-risks survival data, and joint modeling with longitudinal data, statistical testing for the existence and difference of cure rates and sufficient follow-up, new developments in Bayesian cure models, applications of cure models in public health research and clinical trials.