Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/66786
Title: Functional modules of the human brain from resting-state fMRI
Authors: Long, Hongquan
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2016
Abstract: Developments in modern functional neuroimaging techniques, especially the advances in functional magnetic resonance imaging (fMRI) have enabled us to study and investigate functioning human brains. Recent studies have identified many functional networks of the brain from resting-state fMRI scans. However, whether functional connectivity of male and female brain are different has not been explored so far. By studying the functional connectivity, we are able to identify some specific regions with known functional brain systems. Those regions can possibly be further classified as functional organizations or functional modules. The regions in each functional module work cohesively in order to perform particular brain functions. The functional organizations of the human brain may exhibit diversity for different genders. By performing data analytics on the human brain images gathered from functional MRI Institution of Health (NIH), USA, we investigated features of functional module of male and female brain. We found that the network properties of default mode network (DMN) do not differ in male and female. And for other modules such as visual, fronto-parietal task control, sensory/somatomotor hand and cingulo-opercular task control modules, there exist statistically significant differences in male and female.
URI: http://hdl.handle.net/10356/66786
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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