fMRI Neurofeedback

Author:   Michelle Hampson (Associate Professor of Radiology and Biomedical Imaging, Yale, School of Medicine, Radiology and Biomedical Imaging, New Haven, CT, USA)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128224212


Pages:   364
Publication Date:   08 October 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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fMRI Neurofeedback


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Overview

fMRI Neurofeedback provides a perspective on how the field of functional magnetic resonance imaging (fMRI) neurofeedback has evolved, an introduction to state-of-the-art methods used for fMRI neurofeedback, a review of published neuroscientific and clinical applications, and a discussion of relevant ethical considerations. It gives a view of the ongoing research challenges throughout and provides guidance for researchers new to the field on the practical implementation and design of fMRI neurofeedback protocols. This book is designed to be accessible to all scientists and clinicians interested in conducting fMRI neurofeedback research, addressing the variety of different knowledge gaps that readers may have given their varied backgrounds and avoiding field-specific jargon. The book, therefore, will be suitable for engineers, computer scientists, neuroscientists, psychologists, and physicians working in fMRI neurofeedback.

Full Product Details

Author:   Michelle Hampson (Associate Professor of Radiology and Biomedical Imaging, Yale, School of Medicine, Radiology and Biomedical Imaging, New Haven, CT, USA)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.720kg
ISBN:  

9780128224212


ISBN 10:   0128224215
Pages:   364
Publication Date:   08 October 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Dr. Michelle Hampson studied computer science as an undergraduate student at the University of Alberta, and neural network modeling as a graduate student at Boston University. During her postdoctoral years at Yale University, she conducted some of the earliest studies of resting-state functional connectivity MR imaging and contributed to the development and validation of that technique. Later, she developed an interest in real-time fMRI neurofeedback and began using it to train patients with neuropsychiatric conditions to control symptom relevant brain patterns. Her research program is focused on the development and application of novel functional neuroimaging techniques and involves collaboration with researchers from many different backgrounds.

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