Spontaneous ‘resting-state’ fluctuations in neuronal activity offer insights into the inherent organization 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. In this blog post, you will be able to download free PDF e-book copy of An Introduction to Resting State fMRI Functional Connectivity PDF:
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 analyzed 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.
Table of Contents
Below is the complete table of contents presented in An Introduction to Resting State fMRI Functional Connectivity PDF:
1.Data Acquisition
2.Data Preprocessing
3.Voxel-based Connectivity Analyses
4.Node-based Connectivity Analyses
5.Interpretation
Product Details
Here are the technical specifications of An Introduction to Resting State fMRI Functional Connectivity PDF:
- Format: PDF Edition
- File Size: 7330 KB
- Print Length: 160 pages
- Publisher: OUP Oxford (15 June 2017)
- Language: English
- ASIN: B071XD7JS6
An Introduction to Resting State fMRI Functional Connectivity PDF Free Download
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FILE SIZE: 9.90 MB
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