Introduction to Resting State fMRI Functional Connectivity Introduction to Resting State fMRI Functional Connectivity
Oxford Neuroimaging Primers

Introduction to Resting State fMRI Functional Connectivity

    • $41.99
    • $41.99

Publisher Description

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.

GENRE
Professional & Technical
RELEASED
2017
June 15
LANGUAGE
EN
English
LENGTH
200
Pages
PUBLISHER
OUP Oxford
SELLER
The Chancellor, Masters and Scholars of the University of Oxford trading as Oxford University Press
SIZE
6.9
MB
Neural Connectomics Challenge Neural Connectomics Challenge
2017
Connectomics in NeuroImaging Connectomics in NeuroImaging
2019
Connectomics in NeuroImaging Connectomics in NeuroImaging
2017
Brain Informatics Brain Informatics
2018
Artificial Neural Networks – ICANN 2007 Artificial Neural Networks – ICANN 2007
2007
Educational Data Mining Educational Data Mining
2010
Introduction to Neuroimaging Analysis Introduction to Neuroimaging Analysis
2018
Introduction to Perfusion Quantification using Arterial Spin Labelling Introduction to Perfusion Quantification using Arterial Spin Labelling
2018
Introduction to Magnetic Resonance Spectroscopy Acquisition and Analysis Introduction to Magnetic Resonance Spectroscopy Acquisition and Analysis
2025