Titlebook: Magnetic Resonance Brain Imaging; Modeling and Data An J?rg Polzehl,Karsten Tabelow Book 20191st edition Springer Nature Switzerland AG 201

Dignant

繁重

mitten

angina-pectoris

無(wú)辜

Book 20191st editionescribed rely on R. The book is intended for readers from two communities: Statisticians who are interested in neuroimaging and looking for an introduction to the acquired data and typical scientific problems in the field; and neuroimaging students wanting to learn about the statistical modeling and

Interferons

微枝末節(jié)

Introduction, time series of volumes or even data in five- or six-dimensional spaces. Then visual inspection becomes difficult if not impossible and the information has to be aggregated by appropriate methods. In the following chapters, we will demonstrate how such an analysis can be performed for the three MRI imaging modalities that we work with.

拾落穗

Magnetic Resonance Imaging in a Nutshell,ant for the neuroscientific research, especially the functional and diffusion-weighted MRI and, recently, the multiparameter mapping. These data and their analysis will be the subject of the main chapters of this book. Here we provide a teaser on the basic acquisition principles.

兇猛

Medical Imaging Data Formats,ata or analysis results that are interchangeable between different analysis software. We demonstrate how these data can be easily accessed from within .. This is amended with a short discussion of the Brain Imaging Data Structure (BIDS) standard.

VICT

Functional Magnetic Resonance Imaging,tion for the multiplicity of the statistical tests. Part of the chapter elaborates on the use of structural adaptive smoothing procedure in fMRI, which we specifically developed. We also include alternative fMRI analysis methods, i.e., others then the mass-univariate approach. The chapter concludes with a section on functional connectivity.