| dc.description.abstract | This thesis presents an introductory exploration of the neuroimaging field, focusing on volume-based analysis using functional connectivity. By studying resting state data using the Power et al. atlas, the research aims to uncover patterns and relationships between brain regions, employing a qualitative study design with a single subject.
DPABI Toolbox and Connectome Workbench were used to conduct volume-based functional connectivity analyses. DPABI Toolbox was used to preprocess and perform resting state analysis on the Human Connectome Project (HCP) raw data to produce a functional connectivity matrix. Connectome Workbench was used to create a pipeline for creating a resting state functional connectivity matrix. The resting state analysis was performed on the raw data preprocessed by DPABI and the preprocessed data provided by HCP.
The resting state analyses performed on the same data preprocessed by DPABI yielded visually indistinguishable matrices. The similarity metrics further corroborated this observation, indicating no significant dissimilarities. The application of DPABI for preprocessing and resting state analysis was compared with a self-made pipeline utilizing preprocessed data from the HCP. The resting state analyses yielded two matrices that exhibited noticeable differences in their overall intensities, despite sharing a similar structure. The similarity metrics confirmed these distinctions, as they recorded lower values, indicating a dissimilarity between the matrices. | |
