Introduction to Resting State fMRI Functional Connectivity (Oxford Neuroimaging Primers) Illustrated Edition, Kindle Edition


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From data acquisition to results interpretation, An Introduction to Resting State fMRI Functional Connectivity discusses a wide range of approaches without expecting previous knowledge of the reader, making it truly accessible to readers from a broad range of backgrounds.
Supplemented with online examples to enable the reader to obtain hands-on experience working with data, the text also provides details to enhance learning for those already experienced in the field.
The Oxford Neuroimaging Primers are written for new researchers or advanced undergraduates in neuroimaging to provide a thorough understanding of the ways in which neuroimaging data can be analysed and interpreted. Aimed at students without a background in mathematics or physics, this book is also important reading for those familiar with task fMRI but new to the field of resting state fMRI.
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About the Author
Janine Bijsterbosch, Postdoctoral scientist, FMRIB Centre, NDCN, University of Oxford,Stephen M. Smith, Professor of Biomedical Engineering, FMRIB Centre, NDCN, University of Oxford,Christian F. Beckmann, Professor of Statistics in Imaging Neuroscience, Donders Institute for Brain, Cognition and
Behaviour
Dr Janine D. Bijsterbosch is currently a postdoctoral researcher in the Analysis Group in the FMRIB Centre, University of Oxford, specialising in resting-state analysis. She has worked in brain imaging since 2007, with a background in psychology and experience working in psychology, psychiatry and
neuroscience. Janine has considerable teaching experience, being the course organiser, lecturer and senior tutor on both the FMRIB Graduate Programme and the FSL Course.
Professor Stephen M. Smith is a Professor of Biomedical Engineering in the FMRIB Centre, University of Oxford and founded the Analysis Group there in 1997. He is the co-founder of FSL (FMRIB Software Library, www.fmrib.ox.ac.uk/fsl) and has written many tools for analysis of structural, diffusion
and functional data, with a recent emphasis on resting-state imaging. In 2007 Stephen received the Wiley Young Investigator Award from the Organisation for Human Brain Mapping.
Professor Christian F. Beckmann is a Professor of Statistics in Imaging Neuroscience at the Radboud University Medical Centre Nijmegen and leads the Statistical Imaging Neurosciences group at the Donders Institute for Brain, Cognition and Behaviour in Nijmegen. His research focuses on Independent
Component Analysis in fMRI, utilising information theoretic principles for the development of imaging biomarkers, advanced diagnosis systems and understanding of the human brain. Christian has taught on the FSL Course since its inception in 2002 and in 2011 he received the Wiley Young Investigator
Award from the Organisation for Human Brain Mapping.
--This text refers to the paperback edition.
Product details
- ASIN : B071XD7JS6
- Publisher : OUP Oxford; Illustrated edition (June 15, 2017)
- Publication date : June 15, 2017
- Language : English
- File size : 7330 KB
- Text-to-Speech : Enabled
- Screen Reader : Supported
- Enhanced typesetting : Enabled
- X-Ray : Not Enabled
- Word Wise : Not Enabled
- Print length : 158 pages
- Page numbers source ISBN : 0198808224
- Lending : Enabled
- Best Sellers Rank: #1,068,654 in Kindle Store (See Top 100 in Kindle Store)
- #66 in Radiology Diagnostic Imaging
- #304 in Diagnostic Imaging (Books)
- #994 in Neuroscience (Kindle Store)
- Customer Reviews:
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Highly recommended.