Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/62797
Title: Identifying independent sub-networks of functional connectome of the brain
Authors: Chan, Jin Hao
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2015
Abstract: 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).
URI: http://hdl.handle.net/10356/62797
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
fyp.pdf
  Restricted Access
3.67 MBAdobe PDFView/Open

Page view(s) 50

140
checked on Oct 21, 2020

Download(s) 50

10
checked on Oct 21, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.