Nijland, P. (1999) Analysing brain activity using Statistical Parametric Mapping. Master's Thesis / Essay, Computing Science.
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Abstract
The purpose of this thesis is to get an insight in the SPM method, which stands for statistical parametric mapping. SPM is a widely used technique, as well as a software package, for detecting and visualising brain activation. The purpose of this thesis is to find out how SPM works at a theoretical as well as at a practical level. The thesis begins by some theory about different scanning techniques of the brain and how brain activation can be detected. Different approaches for doing analysis are discussed.Before doing statistical analysis different steps have to be carried out. These steps include registration of brain scans, mapping brain scans to a template and smoothing of brain scans. A theoretical background of these steps is given to get a deeper insight in SPM. The statistical analysis is discussed in detail afterwards.The practical use of SPM involves using datasets, where one or more subjects are scanned while performing one or more tasks. In this thesis 4 fMRI datasets were used of a subject performing a memory task. Significant brain activation can be seen in the visual cortex of the brain. Finally, AFNI is used to compare the results of SPM with the results of an independent program.
| Item Type: | Thesis (Master's Thesis / Essay) |
|---|---|
| Degree programme: | Computing Science |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:29 |
| Last Modified: | 15 Feb 2018 07:29 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/8834 |
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