The field of health psychology has exploded in the last decade due to progress identifying physiological mechanisms by which psychological, social, and behavioral factors can put people's health and well-being at risk. The Handbook of Physiological Research Methods in Health Psychology provides thorough, state-of-the-art, and user-friendly coverage of basic techniques for measurement of physiological variables in health psychology research. It is designed to serve as a primary reference source for researchers and students interested in expanding their research to consider a biopsychosocial approach. Chapters addressing key physiological measures have been written by international experts with an eye towards documenting essential information that must be considered in order to accurately and reliably measure biological samples. The book is not intended to be a lab manual of specific biomedical techniques, nor is it intended to provide extensive physiological or anatomical information. Rather, it takes the approach most useful for a non-specialist who seeks guidance on how and when to collect biological measures but who will have the actual samples assayed elsewhere. The Handbook can be thought of as a primer or a gateway book for researchers new to the area of physiological measurement and for readers who would like to better understand the meaning of physiological measures they encounter in research reports.

Electroencephalography and Event-Related Potentials

Electroencephalography and event-related potentials
Daren C.JacksonCory A. B.Jackson

Brain electrophysiology can be defined as the study of electrical potentials on the scalp and the inferences regarding brain function based on these scalp potentials. This approach to the study of brain function incorporates experimental, technical, and analytical elements of traditional psychophysiology as well as modern neuroimaging. Through creative use of basic electroencephalographic (EEG) recordings and waveforms derived from event-related potential (ERP) techniques, researchers have made diverse contributions to the clinical, cognitive, and affective sciences. For example, baseline EEG metrics (i.e., “resting” EEG measured in the absence of an experimental task) have an impressive history of providing insight into affective processes in both healthy and clinical populations (see Davidson, Jackson, & Kalin, 2000, for a ...

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