By 2030 there will be about 70 million people in the United States who are older than 64. Approximately 26 percent of these will be racial and ethnic minorities. Overall, the older population will be more diverse and better educated than their earlier cohorts. The range of late-life outcomes is very dramatic with old age being a significantly different experience for financially secure and well-educated people than for poor and uneducated people. The early mission of behavioral science research focused on identifying problems of older adults, such as isolation, caregiving, and dementia. Today, the field of gerontology is more interdisciplinary. When I'm 64 examines how individual and social behavior play a role in understanding diverse outcomes in old age. It also explores the implications of an aging workforce on the economy. The book recommends that the National Institute on Aging focus its research support in social, personality, and life-span psychology in four areas: motivation and behavioral change; socioemotional influences on decision-making; the influence of social engagement on cognition; and the effects of stereotypes on self and others. When I'm 64 is a useful resource for policymakers, researchers and medical professionals.

A rapidly growing body of research has consituted a new discipline that may be called cognitive neuroscience of aging. This book offers an introduction to the topic, useful to both professionals & students in cognitive neuroscience, cognitive psychology, neuroscience, neuropsychology & neurology.

Using the most well-studied behavioral analyses of animal subjects to promote a better understanding of the effects of disease and the effects of new therapeutic treatments on human cognition, Methods of Behavior Analysis in Neuroscience provides a reference manual for molecular and cellular research scientists in both academia and the pharmaceutic

Recognition that aging is not the accumulation of disease, but rather comprises fundamental biological processes that are amenable to experimental study, is the basis for the recent growth of experimental biogerontology. As increasingly sophisticated studies provide greater understanding of what occurs in the aging brain and how these changes occur

This book addresses methodological techniques for researching cognitive impairment, Alzheimer's disease, the biophysics and structure of the nervous system, the physiology of memory, and the analysis of EEG data. Intended for researchers in cognitive, be

The OMICs:Applications in Neuroscience summarizes the state of the art in OMICs applications in neurology and neuroscience, attracting neurologists who are interested in the progress of this field towards clinical applications, and neuroscientists who may be not familiar with the most recent advances in this ever-changing field. The book will include an overview of most relevant high-throughput approaches (collectively known as 'OMICs') and how they relate to neurology and neuroscience. The explosion of high-throughput assays has introduced large datasets, computational servers, and bioinformatics approaches to neuroscience and medicine in general. The reader will be provided with an overview of the application or method, a perspective on the current and future applications in neurology and neuroscience, and a few published examples illustrating possible practical use. Emerging topics such as ethical issues related to personal genome sequencing, epigenetics, network analysis, and role of peripheral biomarkers in disease diagnosis and follow-up will be covered as well.