Identifying independent sub-networks of functional connectome of the brain

• Main Author: Chan, Jin Hao
• Other Authors: Rajapakse Jagath Chandana
• Format: Final Year Project
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: http://hdl.handle.net/10356/62797
• Institution: Nanyang Technological University

The human brain is a complex organ that enables us to perform day to day activities through the activations of different regions of the brain. Aside from every day activities however, the brain is also active when it is in a resting state, which is when the human is not performing any task-related activities. By using FMRI scans, we are able to observe the Blood Oxygenation Level Dependent (BOLD) signals within the resting brain and derive patterns from it. Similar BOLD patterns within the brain are said to be functionally-connected, and BOLD pattern similarity can be found by correlating time series values for each voxel in the FMRI scan. Once the functionally connected regions have been obtained, it is then decomposed into sub-networks of independent components through Independent Component Analysis (ICA).