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This volume is the second in "The Downstate Series of Research in Psychiatry." It is aseries devoted to the presentation of sig nificant research with relevance for both clinicians and researchers in the multiple subfields of psychiatry. This book focuses on the interactions between psychic phenomena and physical processes as studied by evoked brain potentials. It presents material concerned with physiological and psychological unifying processes, as weIl as research concerning technology and methods of obtaining meaningful measurements. As such it is representative of biological psychiatry at its best. Thus, it represents another step in new directions in psychiatric research but not an unanticipated direction. Scientific investigation into the human psyche took an unex pected turn when Sigmund Freud in the last part of the 19th Century turned his attention from neurological concerns to those of psychol ogy. His first attempts at explanations as noted in the "project," included a heavy emphasis on the biological substrate of behavior.
The Oxford Handbook of Event-Related Potential Components provides a detailed and comprehensive overview of the major ERP components. It covers components related to multiple research domains, including perception, cognition, emotion, neurological and psychiatric disorders, and lifespan development.
Within the field of neuroscience, the past few decades have witnessed an exponential growth of research into the brain mechanisms underlying both normal and pathological states of consciousness in humans. The development of sophisticated imaging techniques to visualize and map brain activity in vivo has opened new avenues in our understanding of the pathological processes involved in common neuropsychiatric disorders affecting consciousness, such as epilepsy, coma, vegetative states, dissociative disorders, and dementia. This book presents the state of the art in neuroimaging exploration of the brain correlates of the alterations in consciousness across these conditions, with a particular focus on the potential applications for diagnosis and management. Although the book has a practical approach and is primarily targeted at neurologists, neuroradiologists, and psychiatrists, it will also serve as an essential reference for a wide range of researchers and health care professionals.
Occupational Neurology a volume in the Handbook of Clinical Neurology Series, provides a comprehensive overview of the science, clinical diagnosis, and treatment for neurotoxin related neurological and psychiatric disorders. This timely collection provides not only a complete scientific reference on the chemical origin of this class of neurological and psychiatric disorders, but also a practical guide to diagnosis and treatment challenges and best practices. Handbook of Clinical Neurology Series The first volume of the Handbook of Clinical Neurology under the editorship of George Bruyn and Pierre Vinken was published in 1968. In 1982, the series was brought to an interim conclusion with the publication of the cumulative index volume (Volume 44). By that stage, the Handbook had come to represent one of the largest scientific works ever published. It enjoys a high reputation in specialist media circles throughout the world. After the series was concluded in 1982, it was realized that an update of the material was imperative. Accordingly, a revised series was planned and published over the following years, concluding with the publication of another cumulative index to both series (Volume 76-78) in 2002. Since then, George Bruyn has passed away and Pierre Vinken has retired, but the need for a further new series, incorporating advances in the field, again become necessary. Professors Michael J. Aminoff, François Boller and Dick F. Swaab have with enthusiasm taken on the responsibility of supervising the preparation of a third series, the first volumes of which were published in 2003. Now, more than 130 volumes after the first published, the Handbook of Clinical Neurology series continues to have an unparalleled reputation for providing the latest foundational research, diagnosis, and treatment protocols essential for both basic neuroscience research and clinical neurology. - Provides comprehensive coverage of neurotoxins, especially in the workplace - Details the latest science as the foundation for neurotoxicity diagnosis and treatment - Presents coverage of the diagnosis and treatment essential for clinical neurologists and occupational medicine specialists
Current theories of visual change detection emphasize the importance of conscious attention to detect unexpected changes in the visual environment. However, an increasing body of studies shows that the human brain is capable of detecting even small visual changes, especially if such changes violate non-conscious probabilistic expectations based on repeating experiences. In other words, our brain automatically represents statistical regularities of our visual environmental. Since the discovery of the auditory mismatch negativity (MMN) event-related potential (ERP) component, the majority of research in the field has focused on auditory deviance detection. Such automatic change detection mechanisms operate in the visual modality too, as indicated by the visual mismatch negativity (vMMN) brain potential to rare changes. VMMN is typically elicited by stimuli with infrequent (deviant) features embedded in a stream of frequent (standard) stimuli, outside the focus of attention. In this research topic we aim to present vMMN as a prediction error signal. Predictive coding theories account for phenomena such as mismatch negativity and repetition suppression, and place them in a broader context of a general theory of cortical responses. A wide range of vMMN studies has been presented in this Research Topic. Twelve articles address roughly four general sub-themes including attention, language, face processing, and psychiatric disorders. Additionally, four articles focused on particular subjects such as the oblique effect, object formation, and development and time-frequency analysis of vMMN. Furthermore, a review paper presented vMMN in a hierarchical predictive coding framework. Each paper in this Research Topic is a valuable contribution to the field of automatic visual change detection and deepens our understanding of the short term plasticity underlying predictive processes of visual perceptual learning.