Beta 1

Title Investigating acute changes in brain structure in response to experimentally induced changes in serotonergic function
Author Saabye, Julie Hjorth
Ulagarajah, Marissa Kavony
Supervisor Hansen, Lars Kai (Intelligent Signal Processing, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Bachelor thesis
Year 2009
Abstract 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 the brain. For the analysis of the results, statistics have been used in the form of paired t-test through matrix computations. 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.
Imprint Technical University of Denmark (DTU) : Kgs. Lyngby, Denmark
Series IMM-B.Sc.-2009-03
Original PDF bac09_03.pdf (4.80 MB)
Admin Creation date: 2009-06-02    Update date: 2010-08-25    Source: dtu    ID: 244052    Original MXD