Resting state brain network mapping and applications to Alzheimer휴지기 뇌 네트워크 매핑과 알츠하이머병에서의 응용

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When analyzing resting state brain networks using BOLD (Blood Oxygen Level Dependant) signals, region of interest (ROI) based analysis has become increasing popular in fMRI studies. However one problem in this is the lack of consistent methodology from study to study. In this study, by analyzing a functional network based on resting state and task-induced BOLD signal I identified and established and set of consistent parameters for ROI analysis, and used these methods to quantify functional connectivity between brain structures for specific function and analyzed differences between the left and right hemisphere. I found that major anatomical regions of the cortex have strong functional connectivity during the resting state and that small networks within the motor and somatosensory cortex can be mapped using ROI correlation analysis. Studies in AD progression reveal similar result in deterioration of the Default Mode Network (DMN) with onset of dementia. Also hemispheric analysis suggests that the left hemisphere is more susceptible to AD pathology. Finally I discovered specific regions showing increase in connectivity with AD progression which can possibly be used as a biomarker for AD onset.
Advisors
Jeong, Yongresearcher정용researcher
Description
한국과학기술원 : 바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2010
Identifier
455152/325007  / 020084183
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2010.08, [ ⅸ, 62 p. ]

Keywords

Alzheimer`s disease; functional connectivity; default mode; Resting state; fMRI; 기능자기공명영상; 알츠하이머병; 기능적연결성; 디폴트모드; 휴지기

URI
http://hdl.handle.net/10203/27195
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=455152&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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