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Introduction to Neuroimaging Analysis (Paperback)
Loot Price: R1,193
Discovery Miles 11 930
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Introduction to Neuroimaging Analysis (Paperback)
Series: Oxford Neuroimaging Primers
Expected to ship within 12 - 17 working days
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MRI has emerged as a powerful way of studying in-vivo brain
structure and function in both healthy and disease states. Whilst
new researchers may be able to call upon advice and support for
acquisition from operators, radiologists and technicians, it is
more challenging to obtain an understanding of the principles of
analysing neuroimaging data. This is crucial for choosing
acquisition parameters, designing and performing appropriate
experiments, and correctly interpreting the results. This primer
gives a general and accessible introduction to the wide array of
MRI-based neuroimaging methods that are used in research.
Supplemented with online datasets and examples to enable the reader
to obtain hands-on experience working with real data, it provides a
practical and approachable introduction for those new to the
neuroimaging field. The text also covers the fundamentals of what
different MRI modalities measure, what artifacts commonly occur,
the essentials of the analysis, and common 'pipelines' including
brain extraction, registration and segmentation. As it does not
require any background knowledge beyond high-school mathematics and
physics, this primer is essential reading for anyone wanting to
work in neuroimaging or grasp the results coming from this rapidly
expanding field. The Oxford Neuroimaging Primers are short texts
aimed at new researchers or advanced undergraduates from the
biological, medical or physical sciences. They are intended to
provide a broad understanding of the ways in which neuroimaging
data can be analyzed and how that relates to acquisition and
interpretation. Each primer has been written so that it is a
stand-alone introduction to a particular area of neuroimaging, and
the primers also work together to provide a comprehensive
foundation for this increasingly influential field.
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