Clinical Functional MRI: Presurgical Functional Neuroimaging - download pdf or read online

By Christoph Stippich, K. Sartor

ISBN-10: 3540244697

ISBN-13: 9783540244691

This can be the 1st textbook on medical fMRI. it really is dedicated to preoperative fMRI in sufferers with mind tumors and epilepsies, that are the main well-established scientific functions. state of the art fMRI strategies are offered, with specific attention of the physiological and methodological historical past, imaging and information processing, common and pathological findings, diagnostic probabilities and obstacles, and different comparable strategies.

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Additional resources for Clinical Functional MRI: Presurgical Functional Neuroimaging (Medical Radiology Diagnostic Imaging)

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Females or treatment group vs. control group. g. Buxton et al. 2004). 1 Two Views on fMRI Data Sets In order to better understand different fMRI data analysis steps, two different views on the recorded four-dimensional data sets are helpful. In one view (Fig. 11a), the 4D data is conceptualized as a sequence of functional volumes (3D images). This view is very useful to understand spatial analysis steps. During motion correction, for example, each functional volume of a run is aligned to a selected reference volume by adjusting rotation and translation parameters.

Unfortunately, application of this correction method requires that the fMRI data are spatially smoothed, substantially reducing one of its most attractive properties, namely its high spatial resolution. Another correction method incorporating the observation that neighboring voxels often activate in clusters is based on Monte Carlo simulations calculating the likelihood to obtain clusters of different sizes (Forman et al. 1995). 05 is met. This approach does not require spatial smoothing and appears highly appropriate for fMRI data.

In cases where all expected effects are properly modeled, the residuals should reflect only noise fluctuations. If some effects are not (correctly) modeled, a plot of the residuals will show low frequency fluctuations instead of a stationary noisy time course. A visualization of the residuals is, thus, a good diagnostic tool to assess whether the design matrix has been defined properly. 2 GLM Significance Tests The multiple correlation coefficient is an important measure of the “goodness of fit” of a GLM.

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Clinical Functional MRI: Presurgical Functional Neuroimaging (Medical Radiology Diagnostic Imaging) by Christoph Stippich, K. Sartor


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