Electrodennal activity refers to electrical changes across the skin in areas of the body that are psychologically responsive. The eccrine sweat glands are the primary detenninant of electrodennal activity, and these are psychologically active especially on the palms of the hands and the soles of the feet. As a matter of convenience, electrodennal activity is most often recorded from the palms. Over the years, the electrodennal response has been known as the psychogalvanic reflex, the galvanic skin response, the skin resistance response, the skin conductance response, and the skin potential response. The tenns psychogalvanic reflex and galvanic skin response have fallen into disuse among scientists, but are still to be found in psychology text books. of its early discovery, ease of measurement, and often easily observable Because response to experimental manipulations, the recording of electrodennal activity is one of the most frequently used methods in psychophysiology. Indeed, in the early years following the founding of the Society for Psychophysiological Research, electrodennal research so dominated the field that people worried that the society was simply an electrodennal society. Although other psychophysiological techniques have emerged as equally strong contributors to psychophysiology, electrodennal research continues to be important throughout the world. As a result of this massive research investment, there has been great progress in understanding electrodennal phenomena, as well as major advances in recording methods since the phenomenon was discovered.

Electrodermal activity is one of the most frequently used psychophysiological evaluations in psychology research. Based on the 1992 edition of this work Electrodermal Activity covers advances in the field since the first publication in 1992. The current volume includes updated information on brain imaging techniques such as PET and fMRI, which provide further insight into the brain mechanisms underlying EDA. In addition, this volume is able to describe more reliably hypotheses that have been successfully tested since the first publication.

Clinical staging is a solution to transform psychiatric diagnosis and improve mental health outcomes.

This book explores Autonomic Nervous System (ANS) dynamics as investigated through Electrodermal Activity (EDA) processing. It presents groundbreaking research in the technical field of biomedical engineering, especially biomedical signal processing, as well as clinical fields of psychometrics, affective computing, and psychological assessment. This volume describes some of the most complete, effective, and personalized methodologies for extracting data from a non-stationary, nonlinear EDA signal in order to characterize the affective and emotional state of a human subject. These methodologies are underscored by discussion of real-world applications in mood assessment. The text also examines the physiological bases of emotion recognition through noninvasive monitoring of the autonomic nervous system. This is an ideal book for biomedical engineers, physiologists, neuroscientists, engineers, applied mathmeticians, psychiatric and psychological clinicians, and graduate students in these fields. This book also: Expertly introduces a novel approach for EDA analysis based on convex optimization and sparsity, a topic of rapidly increasing interest Authoritatively presents groundbreaking research achieved using EDA as an exemplary biomarker of ANS dynamics Deftly explores EDA's potential as a source of reliable and effective markers for the assessment of emotional responses in healthy subjects, as well as for the recognition of pathological mood states in bipolar patients

This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists.

The Handbook of Psychophysiology has been the authoritative resource for more than a quarter of a century. Since the third edition was published a decade ago, the field of psychophysiological science has seen significant advances, both in traditional measures such as electroencephalography, event-related brain potentials, and cardiovascular assessments, and in novel approaches and methods in behavioural epigenetics, neuroimaging, psychoneuroimmunology, psychoneuroendocrinology, neuropsychology, behavioural genetics, connectivity analyses, and non-contact sensors. At the same time, a thoroughgoing interdisciplinary focus has emerged as essential to scientific progress. Emphasizing the need for multiple measures, careful experimental design, and logical inference, the fourth edition of the Handbook provides updated and expanded coverage of approaches, methods, and analyses in the field. With state-of-the-art reviews of research in topical areas such as stress, emotion, development, language, psychopathology, and behavioural medicine, the Handbook remains the essential reference for students and scientists in the behavioural, cognitive, and biological sciences.

This book presents the proceedings of the NeuroIS Retreat 2019, held on June 4–6 in Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology and the brain sciences. Featuring the latest findings from top scholars in the field, it offers detailed insights into the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as applying neuroscience and neurophysiological to advance IS theory.