Neuroimaging Data Processing
This section introduces the different formats used for fMRI datasets and how to convert them into each other. Normally, MRI image data are stored in a binary data file as either 8- or 16-bit integers. Besides the raw image data, there is usually a metadata along with to provide the descriptive information about the subject, type of image, imaging parameters as well as image dimensions. In the history of neuroimaging there have been several different image formats playing important roles. In the following sections, three major kinds of formats are going to be discussed in detail.
This section regards the basic things needed to be known about the different softwares, like: where and how to get them, how is the general structure, what is special,... See the separate section of the actual processing steps for details on their implementation within the different softwares
This is a collection of possible preprocessing steps. Which steps you include and also their order depends on your research question and to an extent also on the software you use
- Data Quality
- Slice Timing
- Skull Stripping
- Tissue Segmentation
- Coregistration and Normalization
- Field map / bias field correction
- Physiological noise regression
- Temporal Filtering
- Spatial smoothing
- Surface extraction
Huettel, S. A., Song, A.W., & McCarthy, G. (2008). Functional Magnetic Resonance Imaging (2nd edition). Sinauer Associates, Inc: Sunderland, Massachusetts, USA.
Poldrack, Russell A. Mumford, Jeanette A. Nichols, Thomas E. Handbook of functional MRI data analysis. 2011