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Spontaneous 'resting-state' fluctuations in neuronal activity offer insights into the inherent organisation of the human brain, and may provide markers for diagnosis and treatment of mental disorders. Resting state functional magnetic resonance imaging (fMRI) can be used to investigate intrinsic functional connectivity networks, which are identified based on similarities in the signal measured from different regions. 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.
This text investigates the methodologies and clinical applications of resting-state functional magnetic resonance imaging (fMRI) to map the intrinsic organization of the human brain. The authors, experts in the field of neuroimaging, provide a foundational framework that bridges the gap between raw data acquisition and the interpretation of functional connectivity networks. By removing the requirement for advanced mathematical or physical expertise, the text serves as a primary resource for students and researchers entering the field of neuroimaging.
What You Will Find
Scope Limits
Experts identify this work as a foundational primer for those transitioning into neuroimaging research. Readers frequently note the accessibility of the prose, which successfully demystifies complex technical workflows for students and early-career researchers.
Page Count:
158
Publication Date:
2017-01-01
Publisher:
OUP Oxford
ISBN-10:
0192535757
ISBN-13:
9780192535757
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