||Investigating acute changes in brain structure in response to experimentally induced changes in serotonergic function
||Saabye, Julie Hjorth
Ulagarajah, Marissa Kavony
||Hansen, Lars Kai (Intelligent Signal Processing, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
||Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
||This bachelor project consists of the investigation of acute changes in the brain structure due to the
neurotransmitter serotonin. The project aims to find and hence investigate whether there are
changes of the grey matter in the brain.
In order to perform the above mentionened analysis, data has been recorded by using a magnetic
resonance scanner. The software program Statistical Parametric Mapping 5 (SPM5) has been used
to analyse the data. During the data analysis a wide range of operations have been used, e.g. spatial
normalization, modulation, smoothing and others. The program is constructed in a particular
manner that enables analysis of the structural changes in each individual voxel. This procedure is
called Voxel-Based Morphometry (VBM).
The background for this project consists of an experiment based on a number of volunteers, who
have been given different kinds of medication that each regulate the concentration of serotonin in
For the analysis of the results, statistics have been used in the form of paired t-test through matrix
Furthermore the goal of this project is to simplify the complexity of the technical terms in a way so
that it is easy for the reader to get a top down approch. This has been achieved through a range of
smaller but more detailed sections. Thereby the reader can relate to both the technicality and the
physiology of this analysis.
Through the comprehension and interpretation of the data and the results, the conclusion of the
project is that the changes that occur have little significance. The reason for this is firstly because
areas of interest vanished after the FDR correction was applied. Secondly, the p-value had to be
adjusted in a way that increased the level of significance. And finally the amount of subjects which
have been used was too small a sample. These three reasons play a very important role of accepting
the structural changes that have been detected. One must admit that although interesting areas have
been found, a more thorough investigation, in which the above mentioned uncertainties have been
improved, is needed.
||Technical University of Denmark (DTU) : Kgs. Lyngby, Denmark
Creation date: 2009-06-02
Update date: 2010-08-25